ARTICLE   Open Access    

Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.)

More Information
  • Received: 29 May 2024
    Revised: 12 August 2024
    Accepted: 12 September 2024
    Published online: 22 November 2024
    Tropical Plants  3 Article number: e039 (2024)  |  Cite this article
  • This study presents the first report on a multi-plant approach for in vitro plant regeneration through direct organogenesis in Gloriosa superba L.

    The study found that a concentration of 1.5 mg·L−1 of BAP was the most effective for inducing shoots across all five types of explants.

    Optimal TDZ concentration was observed to expedite the response to shoot induction.

    In combined treatments, ADS was found to effectively promote shoot proliferation and enhance the effects of other plant growth regulators.

    The highest rate of rooting response in micro shoots was achieved when the rooting media was supplemented with 1.0 mg·L−1 of IBA.

    This multi-explant in vitro propagation approach is recommended for wider conservation efforts using plant tissue culture.

  • Gloriosa superba L., commonly known as glory lily, is a monocotyledonous plant with both ornamental and medicinal value. In this study, the objective was to develop a reliable and reproducible technique for inducing organogenic bud formation from various explants of the glory lily. The effects of different types and combinations of plant growth regulators (PGRs) on in vitro plant regeneration using Murashige and Skoog medium (MS) across different explant types were investigated. This study established protocols for shoot induction and plant regeneration using apical shoot, meristem, shoot tip, nodal segment, and non-dormant corm explants of Gloriosa superba L. For nodal explants, the highest shoot induction rate of 88.9% was achieved with 1.5 mg·L−1 6-benzylaminopurine (BAP) and 0.2 mg·L−1 thidiazuron (TDZ), with shoots forming within 8 d. Non-dormant corm explants demonstrated the highest shoot induction rate of 91.7% when treated with 1.5 mg·L−1 BAP and 10 mg·L−1 adenine sulfate (ADS), with shoots forming within 7 d. For shoot tip explants, a maximum shoot induction rate of 86.1% was observed with a combination of 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, and 8 mg·L−1 ADS, with shoot formation occurring within 6 d. Apical shoot explants showed an 85.4% shoot induction rate when supplemented with 1.5 mg·L−1 BAP and 0.2 mg·L−1 1-naphthaleneacetic acid (NAA), with shoots forming within 8.25 d. Finally, meristem explants achieved a maximum shoot induction rate of 89.6% with 1.5 mg·L−1 BAP and 0.2 mg·L−1 NAA, with shoots forming within 7 d. All rooting treatments successfully induced root formation, with the most effective results observed on half-strength MS medium supplemented with 1.0 mg·L−1 IBA. This treatment achieved the highest rooting response rate of 81.3% and the longest average root length of 4.64 cm. The in vitro-grown plantlets were effectively acclimatized and transplanted into a garden soil mixture of sand and vermiculite (2:1:1, v/v) under direct sunlight, achieving a survival rate of 60% after ten weeks. This study underscores the significance of a multi-explant in vitro regeneration system for the conservation of Gloriosa superba L., emphasizing the strategic application of plant growth regulators and the process of direct organogenesis. The findings offer a comprehensive framework for the sustainable management and preservation of this species.
    Graphical Abstract
  • Drought is a major abiotic stress affecting plant growth which becomes even more intensified as water availability for irrigation is limited with current climate changes[1]. Timely detection and identification of drought symptoms are critically important to develop efficient and water-saving irrigation programs and drought-tolerance turfgrasses. However, turfgrass assessments of stress damages have been mainly using the visual rating of turf quality which is subjective in nature and inclined to individual differences in light perception that drives inconsistency in estimating color, texture, and pattern of stress symptoms in grass species[24]. Remote sensing with appropriate imaging technology provides an objective, consistent, and rapid method of detecting and monitoring drought stress in large-scale turfgrass areas, which can be useful for developing precision irrigation programs and high-throughput phenotyping of drought-tolerance species and cultivars in breeding selection[5].

    Spectral reflectance and chlorophyll fluorescence imaging are emerging tools for rapid and non-destructive monitoring of drought effects in crops. These tools combine imaging and spectroscopy modalities to rigorously dissect the structural and physiological status of plants[6,7]. Spectral reflectance imaging captures reflected light (one out of three fates of light: reflect, absorb and transmit when striking leaf) at different wavelengths ranging from visible to near-infrared regions to characterize vegetation traits[8,9]. Within spectral reflectance imaging, multispectral imaging on one hand measures reflected light in three to ten different broad spectral bands in individual pixels[10,11]. Hyperspectral imaging on the other hand captures reflected light in narrow and more than 200 contiguous spectral bands. Some absorbed light by leaf is re-radiated back in the form of fluorescence and fluorescence imaging utilizes those lights in red and far-red regions to capture plant physiological status[12]. When drought progresses, plants start to develop various symptoms (physiological modifications) gradually over time[13]. Some of those symptoms include stomata closure, impediment in gas exchange, change in pigment composition and distribution which result in wilting and associated morphological alteration in leaf color (senescence), shape (leaf curling) and overall plant architecture. As different plant components or properties reflect light differently at different wavelengths and patterns of reflectance and fluorescence change along with plant stress and related symptoms development, spectral reflectance and fluorescence imaging provide accurate, reliable and detailed information for crop drought monitoring. Fluorescence imaging primarily based on fluorescing plant components or chlorophyll complex in photosynthetic antenna and reaction centers and therefore it mainly monitors stress development by tracking changes in overall photosynthetic performance or other metabolism that interfere with photosynthetic operation[9,14]. Multispectral imaging, hyperspectral imaging, or chlorophyll fluorescence has been used in different studies for plant responses to drought stress in various plant species[10,1517]. The comparative approach of multiple imaging technologies could help to find the efficient methods for the evaluation of plant responses and tolerance to drought[18].

    Vegetation indices derived from multispectral or hyperspectral imaging and fluorescence parameters typically are ratio or linear combinations of reflectance and fluorescence emissions from leaves or canopy of plants, respectively[19,20]. Canopy reflectance at different wavelengths and chlorophyll fluorescence varies with canopy color and density and changes with environmental conditions that affect plant growth, including drought stress[14,20,21]. These variations in reflectance and fluorescence are captured by vegetation indices, such as normalized difference vegetation index (NDVI) and fluorescence parameters including the ratio of variable fluorescence to maximum fluorescence (Fv/m) which are commonly used to evaluate environmental impact on plant growth. Other indices reflect physiological health of plants, such as photochemical reflectance index (PRI) has recently been reported to be useful for drought stress assessment in crops[19]. Previous research identified varying sensitivity of PRI and NDVI to detect water stress; for example, Sun et al.[22] found PRI to be a prominent indicator of drought stress whereas Kim et al.[20] discovered NDVI had greater correlation with drought stress development. There are also several conflicting findings on the responsiveness of fluorescence parameters to drought stress. Photochemical efficiency of PSII (Fv/Fm) was found to be greatly related to drought stress by Panigada et al.[23] but Jansen et al.[24] reported Fv/Fm to be relatively insensitive to drought progression. Lu & Zhang[25] identified that coefficient of photochemical quenching (qP) was insensitive to drought stress whereas Moustakas et al.[26] reported that (qP) being the most sensitive indicator of such stress conditions. There is a need for a comprehensive study that examines multiple vegetation indices (both hyperspectral and multispectral indices) and fluorescence parameters, and parallelly assess their sensitivities to reflect plant growth and physiological status during drought stress.

    The objectives of the current study were: (1) to perform comparative analysis of drought responses of vegetation and photosynthetic indices using multispectral, hyperspectral and chlorophyll fluorescence imaging for Kentucky bluegrass (Poa pratensis L.), a cool-season perennial grass species widely used as turfgrass; (2) identify major vegetation and photosynthetic indices from the imaging technologies and correlated to visual turf quality and leaf relative water content from the destructive measurement; and (3) determine the major vegetation and photosynthetic indices that are most responsive or sensitive to the progression of drought stress that may be useful to early detection and monitoring the level of drought stress causing growth and physiological damages in cool-season grass species.

    Sod strips of Kentucky bluegrass cultivar 'Dauntless' were collected from established field plots at the Rutgers Plant Science Research and Extension Farm, Adelphia, NJ, USA. Sods were planted in plastic pots of 18 cm diameter and 20 cm length filled with a mixture of soil (sandy loam, semi-active, mesic Typic Hapludult; pH 6.55; 260 kg·P·ha−1, 300 kg·K·ha−1) and sand in the ratio of 2/1 (v/v). Plants were established for 50-d in a greenhouse with 24/22 °C day/night average temperatures, 12-h average photoperiod and 750 μmol·m−2·s−1 average photosynthetically active radiation (PAR) with natural sunlight and supplemental lightings. Plants were well-watered, trimmed weekly to 100 mm and fertilized weekly with a 24–3.5–10 (N–P–K) fertilizer (Scotts Miracle-Gro) at the rate of 2.6 g·N·m−2 during the establishment period in the greenhouse. Once plants were well-established, they were moved to the controlled environmental growth chamber (GC72, Environmental Growth Chambers, Chagrin Falls, OH, USA). The growth chamber was controlled at 22/18 °C day/night temperature, 60% relative humidity, 12-h photoperiod and 650 μmol·m−2·s−1 PAR at the canopy level. Plants were allowed to acclimate for a week within the growth chamber conditions and then treatments were initiated.

    There were two different treatments: well-watered control and drought stress. For the well-watered control, plants were irrigated once every two days with sufficient water until drainage occurred from the pot bottom or when soil water content reached the field capacity. Drought stress was imposed by withholding irrigation from each pot throughout the experiment period. Each treatment had five replicates. The experimental treatments were arranged as a complete randomized design with plants of both treatments randomly placed and relocated in the chamber twice each week to minimize effects of potential microenvironment variations in the growth chamber.

    A time-domain reflectometry system (Model 6050 × 1; Soil Moisture Equipment, Santa Barbara, CA, USA) installed with 20 cm soil moisture probe was used to measure soil volumetric water content. Volumetric water content was measured every two days in each pot to track soil moisture dynamics in control and drought stress treatments. To assess plant responses at different soil moisture levels, turfgrass quality (TQ) and leaf relative water content (RWC) were evaluated. Turfgrass quality was visually rated on a scale of 1-9 depending upon canopy color, uniformity and density[27]. A rating of 1 indicates discolored and completely dead plants, 9 indicates lush green colored healthy plants and 6 indicates the minimum acceptable turfgrass quality. Leaf RWC was measured by soaking 0.2 g fresh leaves in distilled water overnight at 4 °C[28]. Turgid leaves after overnight soaking were oven dried at 70 °C to a constant dry weight. Leaf RWC was calculated as [(fresh weight – dry weight)/ (turgid weight – dry weight)] × 100.

    Control and drought stress pots were scanned using a close-range benchtop hyperspectral imaging system (Resonon Inc., Bozeman, MT, USA) containing Pika XC2 camera equipped with 23 mm lens. This camera took images in spectral range of 400–1,000 nm with much detailed spectral resolution of 1.9 nm in 447 different spectral channels. The camera provided 1600 spatial pixels and maximum frame rate of 165 frames per second. It had 23.1° field of view and 0.52 milli-radians instantaneous field of view. Resonon hyperspectral imaging systems are line-scan imagers (also referred to as push-broom imagers) that collect spectral data from each pixel on one line at a time. Multiple lines are imaged when an object or pot kept in scanning stage of linear stage assembly underneath the camera is moved by a stage motor. Those line images are assembled to form a complete image. The systems had regulated lights placed above the linear stage assembly to create optimal conditions for performing the scans. Lights were at the same level as the lens on a parallel plane. Distance between lens and the top of grass canopy was maintained at 0.4 m for capturing the best representation of drought progression. All scans were performed using spectronon pro (Resonon Inc., Bozeman, MT, USA) software connected to the camera using a USB cable. Before performing a scan, the lens was appropriately focused, dark current noise was removed and the system was calibrated for reflectance measurement using a white tile provided by the manufacturer. To ensure distortion-free hyperspectral datacube with a unit-aspect-ratio image, benchtop system's swatch settings were adjusted using pixel aspect ratio calibration sheet also provided by the manufacturer. Once the system was ready, controlled- and stressed-pots were scanned individually every two days throughout the experiment. As the lens was focused centrally, obtained images were of the central grass area and were processed using spectronon pro data analysis software. The entire grass image was selected using a selection tool and the spectrum was generated. From each spectrum, vegetation indices were calculated either using built-in plugins or by manually creating algorithms. The list of vegetation indices calculated using image analysis is mentioned in Table 1.

    Table 1.  List of vegetation indices calculated using hyperspectral and multispectral image analysis for drought stress monitoring in Kentucky bluegrass. Name and number in subscript following the letter R in each formula represent the reflectance at individual light and particular wavelength.
    Vegetation indexIndex abbreviation and formula
    Hyperspectral analysisMultispectral analysis
    Structure Independent Pigment IndexSIPI = (R800 – R445) / (R800 + R680)SIPIm = (RNIR840 – RBlue444) / (RNIR840 + RRed668)
    Simple Ratio IndexSRI = R800 / R675SRIm = RNIR840 / RRed668
    Plant Senescence Reflectance IndexPSRI = (R680 –R500) / R750PSRIm = (RRed668 – RBlue475) / RRededge740
    Photochemical Reflectance IndexPRI = (R570 – R531) / (R570 + R531)PRI = (RGreen560 – RGreen531) / (RGreen560 + RGreen531)
    Normalized Difference Vegetation IndexNDVI = (R800 – R680) / (R800 + R680)NDVIm = (RNIR840 – RRed668) / (RNIR840 + RRed668)
    Normalized Difference Red EdgeNDRE = (R750 – R705) / (R750 + R705)NDREm = (RRededge717 – RRed668) / (RRededge717 + RRed668)
     | Show Table
    DownLoad: CSV

    Micasense Rededge-MX dual camera system (AgEagle Sensor Systems Inc., Wichita, KS, USA) was used to collect multispectral images of controlled- and drought stressed-pots placed within a light box (1.2 m × 0.6 m × 0.6 m). The multispectral camera system had 1,280 × 960 resolution, 47.2° field of view and 5.4 mm focal length. The camera captured ten different spectral bands simultaneously on a command (Table 2). To allow the multispectral camera system, which was designed for aerial operation, to work in the light box settings, a downwelling light sensor (DLS) module provided by the manufacturer was installed to the camera system. Images were captured manually through WIFI connection from mobile devices or computer to the multispectral camera system. The sensor layout of the dual camera system, while causing negligible error in aerial condition, led to mismatching between spectral bands in a close distance, therefore, spectral bands needed to be overlapped during post-processing. The captured images of individual spectral bands were stored as separate .jpgf image files and then were used to calculate the relevant vegetation indices. Multispectral image analysis was executed using Python (Version 3.10) code by Rublee et al.[29]. Image analysis aligned ten spectral bands using Oriented FAST and Rotated BRIEF algorithm to achieve complete overlap between spectral band images. The reflectance correction panel provided by the manufacturer was used to account for the illumination condition in light box environment and the correction was reflected in pixel value adjustment for each band in python code; vegetation indices based on the aligned images were then calculated using the corresponding formula (Table 1). Images that included background noise were excluded from analysis.

    Table 2.  Spectral band details (center wavelength and band width) for Micasense Rededge-MX dual camera system.
    Band nameCentral wavelength (nm)Band width (nm)
    Blue44444428
    Blue47547532
    Green53153114
    Green56056027
    Red65065016
    Red66866814
    RE70570510
    RE71771712
    RE74074018
    NIR84084257
     | Show Table
    DownLoad: CSV

    Chlorophyll fluorescence images were taken using a pulse amplitude modulated fluorescence imaging system (FC 800-O/1010, Photon System Instruments, Drasov, Czech Republic). A high-speed charge-coupled device (CCD) camera was mounted on a robotic arm placed in the middle of LED light panels. The camera had 720 × 560 pixels spatial resolution, 50 frames per second frame rate and 12-bit depth. Four different LED light panels each of 20 cm × 20 cm size were equipped with 64 orange-red (617 nm) LEDs in three panels and 64 cool-white LEDs (6,500 k) in the rest of one panel. Before making measurements, plants were dark-adapted for 25 min in a dark room to open all PSII reaction centers. The distance between camera and the top of the grass canopy was maintained at 0.3 m while taking images to ensure optimum quality. Images were acquired following the Kautsky effect measured in a pulse amplitude modulated mode[30,31]. Briefly, dark-adapted plants were first exposed to non-actinic measuring light for 5 s to measure minimum fluorescence at the dark-adapted state (Fo). Plants were immediately exposed to 800 ms saturation pulse of 3,350 µmol·m−2·s−1 to measure maximum fluorescence after dark adaptation (Fm). They were kept under dark relaxation for 17 s and then exposed to actinic light 750 µmol·m−2·s−1 for 70 s. Plants were exposed to a series of saturating pulses at 8 s, 18 s, 28 s, 48 s and 68 s during their exposure to actinic light conditions and maximum fluorescence at different light levels and steady state were measured. They were kept under dark relaxation again for 100 s and irradiated with saturating pulses at 28 s, 58 s and 88 s during dark relaxation for measuring maximum fluorescence during the relaxation. Selected durations for each light and dark relaxation state were preset in default quenching-act2 protocol of the fluorescence imaging system. Fluorescence at different light levels and steady states were used to calculate several fluorescence parameters (Table 3).

    Table 3.  Chlorophyll fluorescence parameters calculated from pulse amplitude modulated fluorescence imaging system.
    Chlorophyll fluorescence parameterFormula
    Maximum photochemical efficiency of PSII (Fv / Fm)(Fm-Fo) / Fm
    Photochemical efficiency of open PSII centers
    (F'v / F'm)
    (F'm – F'o) / F'm
    Actual photochemical quantum yield of PSII centers Y(PSII)(F'm – Fs) / F'm
    Photochemical quenching coefficient (Puddle model; qP)(F'm – Fs) / (F'm – F'o)
    Photochemical quenching coefficient (Lake model; qL)qP × F'o / Fs
    Non-photochemical quenching coefficient (qN)(Fm-F'm) / Fm
    Non-photochemical quenching (NPQ)(Fm-F'm) / F'm
    Chlorophyll fluorescence decrease ratio (Rfd)(Fm-Fs) / Fs
     | Show Table
    DownLoad: CSV

    The two-way repeated measure analysis of variance was performed to determine treatment effects and t-test was performed to compare control and drought stress treatments at a given day of measurement. Correlation analysis using all individual observations (five replications for each control and drought stress treatments) was performed to determine the relationship among all measured traits, vegetation indices and fluorescence parameters. Partial least square regression (PLSR) models were developed in SAS JMP (version 13.2; SAS Institute, Cary, NC, USA) for comparing hyperspectral, multispectral and chlorophyll fluorescence imaging in their overall associations with physiological assessments of drought stress. Vegetation indices and fluorescence parameters from individual imaging technologies were predictor variables, and turfgrass quality and leaf relative water content were response variables. A leave one out cross validation approach was used to develop the best performing partial least square model for each imaging technology. A model was first established with all predictor variables and the variable with the lowest importance was removed from the dataset and the model was rebuilt with the remaining variables. The rebuilt model was re-validated using leave one out cross validation and assessed checking root mean PRESS and percent variation explained for cumulative Y values. From each loop of operation, one variable was removed, and a new model was developed. The whole process ended when the last variable was removed and thus no more models could be developed. Finally, a series of models was obtained, and they were compared to identify a model with the highest accuracy for individual imaging technologies. The best performing model from each imaging technology was used to estimate turfgrass quality and leaf relative water content.

    The initial soil water content prior to drought stress was maintained at the field capacity of 29% and remained at this level in the well-watered control treatment during the entire experimental period (20 d) (Fig. 1a). SWC in the drought treatment significantly decreased to below the well-watered treatment, beginning at 4 d, and declined to 5.8% by 20 d.

    Figure 1.  Drought stress affected turf quality, leaf relative water content and soil volumetric water content during 20 d of stress period in Kentucky bluegrass. * indicates significant difference between control and drought stress treatments (p ≤ 0.05) at each day of measurement. Presented values represent average of five data points.

    Leaf RWC was ≥ 93% in all plants prior to drought stress and declined to a significantly lower level than that of the control plants, beginning at 10 d of treatment when SWC declined to 16% (Fig. 1b). TQ began to decrease to a significantly lower level than the that of the well-watered plants at 10 d of drought stress at RWC of 87% and SWC of 16%, and further declined to the minimally acceptable level of 6.0 at 16 d of drought stress when RWC decreased to 66% and SWC dropped to 8% during drought stress (Fig. 1c).

    Most hyperspectral imaging indices, including SIPI (Fig. 2a), SRI (Fig. 2b), PRI (Fig. 2d), NDVI (Fig. 2e) and NDRE (Fig. 2f) exhibited a declining trend during 20-d drought stress while PSRI (Fig. 2C) showed increases during drought stress. The index value of drought-stressed plants became significantly lower than that of the well-watered plants, beginning at 14 d for SIPI and SRI, 16 d for PRI and PSRI, and 18 d for NDVI and NDRE. The multispectral SIPIm and SRIm did not differ between drought-stressed plants from the control plants until 18 d of treatment (Fig. 3a, b) while NDVIm, NDREm , PRIm , and PSRIm values were significantly lower than those of well-watered control plants at 16 d of drought stress (Fig. 3cf).

    Figure 2.  Vegetation indices generated by hyperspectral sensing and sensitivity of these indices in monitoring drought in Kentucky bluegrass exposed to 20 d of drought stress. * indicates significant difference between control and drought stress treatments (p ≤ 0.05) at each day of measurement. Presented values represent average of five data points.
    Figure 3.  Vegetation indices generated by multispectral image analysis and sensitivity of these indices in monitoring drought in Kentucky bluegrass exposed to 20 d of drought tress. * indicates significant difference between control and drought stress treatments (p ≤ 0.05) at each day of measurement. Presented values represent average of five data points.

    Chlorophyll fluorescence indices detected drought damages in leaf photosynthesis systems, as shown by declines in different indices during drought stress (Fig. 4). Drought-stressed plants exhibited significant lower chlorophyll fluorescence levels than that of the well-watered plants, beginning at 12 d for NPQ (Fig. 4a), 16 d for Fv/Fm (Fig. 4b), and 18 d for F'V/F'm (Fig. 4c), Y(PSII) (Fig. 4d), qP (Fig. 4e), and qL (Fig. 4f). Separation between drought-stressed and well-watered plants were also evident in index- or parameter- generated images (Fig. 5).

    Figure 4.  Chlorophyll fluorescence parameters measured by pulse amplitude modulated fluorescence imaging system and detection of drought by these parameters in Kentucky bluegrass exposed to 20 d of drought stress. * indicates significant difference between control and drought stress treatments (p ≤ 0.05) at each day of measurement. Presented values represent average of five data points. NPQ, Non-photochemical quenching; Fv /Fm, Maximum photochemical efficiency of PSII; F'v/F'm, Photochemical efficiency of open PSII centers; Y(PSII), Actual photochemical quantum yield of PSII centers; qP, Photochemical quenching coefficient (Puddle model); qL, Photochemical quenching coefficient (Lake model); qN, Non-photochemical quenching coefficient; Rfd, Chlorophyll fluorescence decrease ratio.
    Figure 5.  Maps generated by the three most drought sensitive indices and parameters [hyperspectral structure independent pigment index (SIPI), multispectral normalized difference vegetation index (NDVIm) and chlorophyll fluorescence NPQ]. These maps clearly separated control and drought stress after 18 d of treatment when majorities of indices and parameters detected drought stress.

    Leaf RWC and TQ had significant correlation with most of indices and parameters calculated using three different imaging sensors (hyperspectral, multispectral and chlorophyll fluorescence) (Table 4). Among the indices, RWC had the strongest correlations with chlorophyll fluorescence NPQ (r = 0.88) and qL (r = 0.89), hyperspectral PRI (r = 0.94), and multispectral PSRIm (−0.92). TQ was most correlated to chlorophyll fluorescence NPQ (r = 0.89), hyperspectral PSRI (r = −0.90), and multispectral PSRIm (r = −0.85).

    Table 4.  Correlations among several physiological traits, vegetation indices and chlorophyll fluorescence parameters.
    RWCTQFV/FmF'v/F'mY(PSII)NPQqNqPqLRfdSIPISRIPSRIPRINDVINDREWBISIPImPSRImPRImNDVImNDREm
    RWC1.00
    TQ0.95*1.00
    FV/Fm0.87*0.85*1.00
    F'v/F'm0.81*0.77*0.95*1.00
    Y(PSII)0.85*0.74*0.80*0.74*1.00
    NPQ0.88*0.89*0.95*0.84*0.75*1.00
    qN0.84*0.83*0.96*0.84*0.77*0.96*1.00
    qP0.82*0.70*0.73*0.66*0.99*0.69*0.72*1.00
    qL0.89*0.81*0.90*0.86*0.97*0.83*0.86*0.95*1.00
    Rfd0.84*0.82*0.89*0.83*0.77*0.92*0.86*0.72*0.83*1.00
    SIPI0.84*0.71*0.63*0.58*0.51*0.57*0.69*0.48*0.60*0.46*1.00
    SRI0.57*0.62*0.44*0.45*0.330.41*0.45*0.300.400.330.83*1.00
    PSRI−0.83*−0.90*−0.90*−0.86*−0.76*−0.83*−0.87*−0.71*−0.86*−0.76*−0.75*−0.57*1.00
    PRI0.94*0.82*0.80*0.76*0.71*0.79*0.71*0.66*0.77*0.78*0.260.17−0.78*1.00
    NDVI0.53*0.65*0.41*0.43*0.41*0.42*0.400.380.43*0.42*0.50*0.42*−0.54*0.311.00
    NDRE0.64*0.73*0.64*0.63*0.45*0.54*0.64*0.400.56*0.44*0.92*0.85*−0.75*0.330.50*1.00
    SIPIm0.52*0.50*0.56*0.58*0.47*0.52*0.49*0.43*0.52*0.51*0.330.28−0.58*0.61*0.270.39−0.281.00
    PSRIm−0.92*−0.85*−0.85*−0.85*−0.83*−0.80*−0.77*−0.79*−0.88*−0.77*−0.40−0.230.77*−0.82*−0.41−0.400.32−0.52*1.00
    PRIm0.20−0.030.06−0.010.280.140.110.310.200.180.050.100.01−0.040.000.090.060.09−0.041.00
    NDVIm0.75*0.74*0.77*0.78*0.67*0.72*0.68*0.62*0.73*0.70*0.43*0.33−0.76*0.81*0.370.47*−0.350.93*−0.76*−0.051.00
    NDREm0.90*0.89*0.89*0.89*0.81*0.83*0.81*0.76*0.88*0.81*0.52*0.41*−0.87*0.87*0.45*0.53*−0.320.62*−0.87*−0.040.85*1.00
    Details for individual abbreviations of vegetation indices and fluorescence parameters used in this table were previously mentioned in Tables 1 & 3. Some other abbreviations are: RWC, leaf relative water content; and TQ, turfgrass quality. Values followed by * indicate significant correlation at p ≤ 0.05. Correlation analysis was performed using all individual data points (five replications for each control and drought stress treatments).
     | Show Table
    DownLoad: CSV

    Correlations among different vegetation indices and parameters were also significant in many cases. Hyperspectral indices such as PSRI and PRI were significantly correlated with all multispectral indices except PRIm. Multispectral NDVIm and NDREm were significantly correlated with all hyperspectral indices. When hyperspectral and multispectral indices were correlated with chlorophyll fluorescence parameters, majorities of these indices significantly associated with fluorescence parameters with exceptions of multispectral PRIm which had weak and positive (r ranges 0.06 to 0.31) associations with fluorescence parameters.

    Partial least square regression models were developed by integrating all indices from individual imaging technologies which identified the most reliable imaging systems to detect and monitor plant responses to drought stress. The PLSR model developed using hyperspectral imaging indices had improved predictability (root mean PRESS ≤ 0.38 and percent variation explained ≥ 87) compared to such models developed using other imaging systems and associated indices (Table 5). Comparing multispectral imaging with chlorophyll fluorescence imaging, multispectral imaging had slightly better predictability [root mean PRESS = 0.40 (RWC) and 0.44 (TQ) and percent variation explained = 86 (RWC) and 83 (TQ)] considering similar number of predictor variables used for estimating TQ and RWC in all imaging systems.

    Table 5.  Summary of partial least square model showing predictability of individual models using specific numbers of predictor variables (identified by leave one out cross validation) generated by different sensing technologies. Details of individual abbreviations are mentioned in previous tables. Partial least square was performed using all individual data points (five replications for each control and drought stress treatments).
    Sensing technology used for predictionPredicted
    variable
    No. of predictors usedPredictor variablesRoot mean
    PRESS
    Percent variation explained
    for cumulative Y
    Cumulative Q2
    HyperspectralTQ4PRI, PSRI, NDRE, SIPI0.36870.99
    RWC4PRI, PSRI, NDRE, SIPI0.38890.99
    MultispectralTQ3PSRIm, NDVIm, NDREm0.44850.97
    RWC3PSRIm, NDVIm, NDREm0.40860.97
    Chlorophyll fluorescenceTQ4Fv/Fm, NPQ, qN, qL0.46830.95
    RWC3Fv/Fm, NPQ, qL0.59840.93
     | Show Table
    DownLoad: CSV

    The integrated indices from each of the three imaging systems were highly correlated to TQ, with R2 of 0.90, 0.85, and 0.83 for hyperspectral imaging, multispectral imaging, and chlorophyll fluorescence, respectively (Fig. 6). For RWC, the correlation R2 was 0.88, 0.84, and 0.80, respectively with hyperspectral imaging, multispectral imaging, and chlorophyll fluorescence. The hyperspectral imaging was better be able to predict TQ and RWC compared to other imaging systems (Fig. 6).

    Figure 6.  Comparison of predicted turfgrass quality (TQ) and leaf relative water content (RWC) versus their measured values using partial least square regression model. Turfgrass quality and relative water contents were predicted using various indices generated by hyperspectral, multispectral and chlorophyll fluorescence sensing technologies. The dashed line represents the I:I line. Regression analysis was performed using all individual data points (five replications for each control and drought stress treatments).

    Leaf RWC and TQ are the two most widely used parameters or traits to evaluate turfgrass responses to drought stress[28,32,33]. In this study, RWC detected water deficit in leaves at 10 d of drought stress when SWC declined to 16% and TQ declined to below the minimal acceptable level of 6.0 at 16 d of drought stress when RWC decreased to 66% and SWC dropped to 8% during drought stress. These results suggested that RWC was a sensitive trait to detect water stress in plants, which is in agreement with previous research[34,35]. However, leaf RWC is a destructive measurement and TQ is a subjective estimate. Nondestructive and quantitative detection of stress symptoms in plants through assessing changes in phenotypic and physiological responses of plants to drought stress is critical for developing water-saving irrigation programs and breeding selection traits to increase water use efficiency and improve plant tolerance to drought stress. In this study, some of the phenotypic traits assessed by hyperspectral and multispectral imaging analysis and photosynthetic parameters measured by chlorophyll fluorescence were highly correlated to leaf RWC or visual TQ, as discussed in detail below, which could be used as non-destructive indicators or predictors for the level of drought stress in Kentucky bluegrass and other cool-season turfgrass species.

    The strong correlation of integrated indices from each of the three imaging systems with TQ (R2 of 0.90, 0.85, and 0.83, respectively) and RWC (R2 of 0.88, 0.84, and 0.80, respectively) for hyperspectral imaging, multispectral imaging, and chlorophyll fluorescence suggested that all three non-destructive imaging systems could be used as a non-destructive technique to detect and monitor water stress in Kentucky bluegrass. However, the hyperspectral imaging indices had higher predictability to RWC and visual TQ compared to the indices from multispectral imaging and chlorophyll fluorescence based on the PLSR models. Hyperspectral imaging used in this study captured images in 447 different spectral bands and gathered much more details about individual components of entire vegetation as each component has its own spectral signature. Multispectral imaging captures images with ten spectral bands and chlorophyll fluorescence imaging used only emitted red and far-red lights to snap images. Nevertheless, our results suggested that the PLSR models by integrating all indices from each individual imaging technologies identified the most reliable imaging systems to detect and monitor plant responses to drought stress in this study.

    The indices derived from the three imaging systems varied in their correlation to RWC or TQ in Kentucky bluegrass in this study. Among the indices, RWC had the strongest correlations with chlorophyll fluorescence NPQ (r = 0.88) and qL (r = 0.89), hyperspectral PRI (r = 0.94), and multispectral PSRIm (r = −0.92). TQ was most correlated to chlorophyll fluorescence NPQ (r = 0.89), hyperspectral PSRI (r = −0.90), and multispectral PSRIm (r = −0.85). The indices also varied in their sensitivity to drought stress for Kentucky bluegrass, and therefore they detected drought stress in plants at different times of treatment. The hyperspectral SIPI and SRI were the most responsive to drought stress with significant decline at 14 d followed by PRI and PSRI at 16 d while NDVI and NDRE were slowest showing decline (18 d) in response to drought. Multispectral indices exhibited decline later during drought at 16 d of drought stress for NDVIm, NDREm , PRIm , and PSRIm and 18 d for SIPIm and SRIm. Indices SIPI and SRI are related to leaf carotenoid composition and vegetation density and high spectral resolution of hyperspectral system was able to capture subtle changes in pigment concentration and canopy (slight leaf shrinking and rolling) at early phase of drought progression[36,37]. Index PSRI is indicative of the ratio of bulk carotenoids including α- and β-carotenes to chlorophylls and PRI is sensitive to xanthophyll cycle particularly de-epoxidation of zeaxanthin that releases excess energy as heat in order to photoprotection[3840]. Activation of photoprotective mechanisms including xanthophyl cycle require a certain level of stress severity depending on type of abiotic stress and plant species[41]. The PSRI calculated using both hyperspectral and multispectral imaging systems exhibited similar trends, and PSRI and PRI from either imaging system detected drought stress after 16 days of treatment applications. In agreement with our results, Das & Seshasai[42] found that PSRI showed similar trends when its value > −0.2 regardless of whether measured using hyperspectral or multispectral imaging. Both PSRI and PRI were also highly correlated to leaf RWC or TQ in Kentucky bluegrass exposed to drought stress in this study, suggesting that these two indices could be useful parameters to detect and monitor plant responses to drought stress.

    Vegetation index of NDVI has been the most widely used vegetation index in several crops such as wheat (Triticum aestivum L.)[43], cool- and warm-season turfgrass species including perennial ryegrass (Lolium perenne L.), tall fescue (Festuca arundinacea Schreb.), seashore paspalum (Paspalum vaginatum Sw.) and hybrid bermudagrass [Cynodon dactylon (L.) Pers. × C. transvaalensis Burtt-Davy][2, 44, 45]. For example, Bhandari et al.[43] and Badzmierowski et al.[14] found NDVI was correlated to overall turfgrass quality and chlorophyll content under nitrogen and drought stresses in tall fescue and citrus (Citrus spp.) plants. In this study, NDVI and NDRE were also correlated to leaf RWC and TQ, both NDVI and NDRE calculated from hyperspectral or multispectral imaging were least responsive to drought stress or detected drought stress later than other indices. Hong et al.[46] reported that NDVI being a better indicator than NDRE for early drought stress detection in turfgrasses when these indices were measured by handheld multispectral sensor. Eitel et al.[47] utilized broadband satellite images to estimate NDVI and NDRE and identified NDRE being a better option for early detection of stress condition in woodland area. Either NDVI or NDRE could be used as indices for vegetation density, but not sensitive indicators for plant responses to drought stress or for detecting drought damages in plants.

    Chlorophyll fluorescence reflects the integrity and functionality of photosystems in the light reactions of photosynthesis and serves as a good indicator for photochemical activity and efficiency[48]. The Y(PSII) is an effective quantum yield of photochemical energy conversion and estimates the actual proportion of absorbed light that is used for electron transport[49]. The ratio of F'v/F'm is maximum proportion of absorbed light that can be used for electron transport when all possible PSII reaction centers are open under light adapted state. Parameters qP and qL estimate the fraction of open PSII centers based on 'puddle' and 'lake or connected unit' models of photosynthetic antenna complex, respectively[50]. Rfd is an indicator for photosynthetic quantum conversion associated with functionality of the photosynthetic core unit. Overall, these parameters revolve around the operation status and functioning of PSII reaction centers or the core unit that possesses chlorophyll a-P680 in a matrix of proteins[51]. Parameter NPQ indicates non-photochemical quenching of fluorescence via heat dissipation involving xanthophyll cycle and state transition of photosystems[52]. This parameter is mostly associated with xanthophylls and other pigments in light harvesting antenna complex of photosystems but not with the PSII core unit[53]. Li et al.[9] reported that chlorophyll fluorescence imaging parameters including F'V/F'm have a limitation of late drought detection in plants. Shin et al.[54] reported F'V/F'm, Y(PSII), qP, and qL detected stress effects under severe drought when leaves were completely wilted and fresh weights declined in lettuce (Lactuca sativa L.) seedings. In this study, NPQ and Fv/Fm exhibited significant decline earlier (12−16 d of stress treatment) when drought was in mild to moderate level (> 60% leaf water content) compared to other chlorophyll fluorescence indices. The NPQ was strongly correlated to leaf RWC (r = 0.88) and TQ (r = 0.89) for Kentucky bluegrass exposed to drought stress. These results suggested that NPQ is a sensitive indicator of photosynthetic responses to drought stress and could be a useful parameter for evaluating plant tolerance to drought stress and monitoring drought responses.

    The comparative analysis of phenotypic and photosynthetic responses to drought stress using three imaging technologies (hyperspectral, multispectral and chlorophyll fluorescence) using the partial least square modeling demonstrated that the integrated vegetation indices from hyperspectral imaging had higher predictability for detecting turfgrass responses to drought stress relative to those from multispectral imaging and chlorophyll fluorescence. Among individual indices, SIPI and SRI from hyperspectral imaging were able to detect drought stress sooner than others while PSRI and PRI from both hyperspectral and multispectral imaging were also highly correlated to leaf RWC or TQ responses to drought stress, suggesting these indices could be useful parameters to detect and monitor drought stress in cool-season turfgrass. While NDVI or NDRE from both hyperspectral and multispectral imaging could be used as indices for vegetation density, but not sensitive indicators for plant responses to drought stress. Among chlorophyll fluorescence indices, NPQ and Fv/Fm were more closely correlated to RWC or TQ while NPQ was most responsive to drought stress, and therefore NPQ could be a useful indicator for detecting and monitoring cool-season turfgrass response to drought stress. The sensitivity and effectiveness of these indices associated with drought responses in this study could be further testified in other cool-season and warm-season turfgrass species under field conditions. As each imaging technology used in this experiment comes with bulky accessories such as LED panels, mounting tower and support system, capturing images within limited space of controlled environmental chambers are challenging. Future research should be in developing multimodal imaging integrating major features of all three technologies and reducing size and space requirement that would deliver improved decision support for drought monitoring and irrigation management in turfgrasses. Development of advanced algorithms that could incorporate broader spectral details or band reflectance for calculating novel vegetation indices are warranted.

    The research presented in this paper was funded by the United State Department of Agriculture - National Institute of Food and Agriculture (2021-51181-35855).

  • The authors declare that they have no conflict of interest. Bingru Huang is the Editorial Board member of Journal Grass Research who was blinded from reviewing or making decisions on the manuscript. The article was subject to the journal's standard procedures, with peer-review handled independently of this Editorial Board member and her research groups.

  • Supplementary Table S1 Summary data on prior studies reporting shoot morphogenesis in Gloriosa superba L. via direct organogenesis from selected explant type.
    Supplementary Table S2 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1].
    Supplementary Table S3 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1]*.
    Supplementary Table S4 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1].
    Supplementary Table S5 Summary table showing explant type, treatment, and shoot initiation rate (%) of this study.
    Supplementary Fig. S1 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived nodal segments of Gloriosa superba L.
    Supplementary Fig. S2 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2 % Sucrose + 0.8 % Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
    Supplementary Fig. S3 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2% Sucrose + 0.8% Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
    Supplementary Fig. S4 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2% Sucrose + 0.8% Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
    Supplementary Fig. S5 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) on MS medium containing 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ + 8 mg·L−1 ADS from in vitro derived shoot tips of Gloriosa superba L.
    Supplementary Fig. S6 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived apical shoots of Gloriosa superba L.
    Supplementary Fig. S7 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived meristems of Gloriosa superba L.
    Supplementary Fig. S8 Effect of PGRs on in vitro morphogenetic response to rooting of microshoots of Gloriosa superba L.
    Supplementary Fig. S9 Effects of auxins (IBA, NAA, and IAA) on different trends in vitro rooting micro-shoots derived from apical shoot explants of Gloriosa superba L. on half-strength MS medium after six weeks of culture.
    Supplementary Fig. S10 Acclimatisation of in vitro regenerated plantlets of Gloriosa superba L.
    Supplementary Fig. S11 Acclimatisation of in vitro regenerated plantlets of Gloriosa superba L.
    Supplementary Fig. S12 Effect of different concentrations of PGRs on in vitro rooting of shoots derived from different explants of Gloriosa superba L. on half-strength MS medium after six weeks of culture.
  • [1]

    Chadipiralla K, Gayathri P, Rajani V, Reddy PVB. 2020. Plant tissue culture and crop improvement. In Sustainable Agriculture in the Era of Climate Change, eds. Roychowdhury R, Choudhury S, Hasanuzzaman M, Srivastava S. Cham: Springer International Publishing. pp. 391–412. doi: 10.1007/978-3-030-45669-6_18

    [2]

    Mosoh DA, Prakash O, Khandel AK, Vendrame WA. 2024. Preserving Earth's flora in the 21st Century: Climate, Biodiversity, and Global Change Factors since the mid-1940s. Frontiers in Conservation Science 5:1383370

    doi: 10.3389/fcosc.2024.1383370

    CrossRef   Google Scholar

    [3]

    Pe PPW, Naing AH, Soe MT, Kang H, Park KI, Kim CK. 2020. Establishment of meristem culture for virus-free and genetically stable production of the endangered plant Hosta capitata. Scientia Horticulturae 272:109591

    doi: 10.1016/j.scienta.2020.109591

    CrossRef   Google Scholar

    [4]

    Vendrame WA, Holliday CP, Montello PM, Smith DR, Merkle SA. 2001. Cryopreservation of yellow-poplar and sweetgum embryogenic cultures. New Forests 21:283−92

    doi: 10.1023/A:1012237606373

    CrossRef   Google Scholar

    [5]

    Neumann KH, Kumar A, Imani J. 2020. Plant cell and tissue culture – a tool in biotechnology: basics and application. Cham: Springer International Publishing. 459 pp. doi: 10.1007/978-3-030-49098-0

    [6]

    Mosoh DA, Khandel AK, Verma SK, Vendrame WA. 2024. Phytochemical analysis and enhanced production of alkaloids in non-dormant corm-derived callus of Gloriosa superba (L.) using plant growth regulators and abiotic elicitors. Plant Cell, Tissue and Organ Culture (PCTOC) 156:89

    doi: 10.1007/s11240-023-02674-5

    CrossRef   Google Scholar

    [7]

    Shahzad A, Sharma S, Siddiqui SA. 2016. Biotechnological strategies for the conservation of medicinal and ornamental climbers. Cham, Switzerland: Springer International Publishing. 506 pp. doi: 10.1007/978-3-319-19288-8

    [8]

    Khandel AK, Gantait S, Verma SK. 2022. Optimization of growing conditions, substrate-types and their concentrations for acclimatization and post-acclimatization growth of in vitro-raised flame lily (Gloriosa superba L.) plantlets. Vegetos 35:228−36

    doi: 10.1007/s42535-021-00297-9

    CrossRef   Google Scholar

    [9]

    Nalina L, Rajamani K, Shanmugasundaram KA, Boomiga M. 2022. Breeding and conservation of medicinal plants in India. In Medicinal and Aromatic Plants of India. Medicinal and Aromatic Plants of the World, eds. Máthé Á, Khan IA. Vol. 1. Cham: Springer International Publishing. pp. 201–36. doi: 10.1007/978-3-030-98701-5_7

    [10]

    Mosoh DA, Khandel AK, Verma SK, Vendrame WA. 2024. Standardizing in vitro callus induction and indirect organogenesis of Gloriosa superba L. leaf explants using exogenous phytohormones. Journal of Plant Biotechnology 51:237−52

    doi: 10.5010/jpb.2024.51.023.237

    CrossRef   Google Scholar

    [11]

    Mishra T, Sharma P. 2020. A critical review of glory lily: a rare medicinal plant. World Journal of Pharmacy and Pharmaceutical Sciences 9:1123−33

    Google Scholar

    [12]

    Mahajan R, Billowaria P, Kapoor N. 2018. In vitro conservation strategies for Gloriosa superba L.: an endangered medicinal plant. In Biotechnological approaches for medicinal and aromatic plants: conservation, genetic improvement and utilization, ed. Kumar N. Singapore: Springer. pp. 489–501. doi: 10.1007/978-981-13-0535-1_22

    [13]

    Patel A, Desai BS, Chaudhari BN, Vashi JM. 2020. Genetic improvement in glory lily (Gloriosa superba L.): a review. International Journal of Chemical Studies 8:255−60

    doi: 10.22271/chemi.2020.v8.i4d.9701

    CrossRef   Google Scholar

    [14]

    Yadav K, Groach R, Aggarwal A, Singh N. 2015. A reliable protocol for micropropagation of Gloriosa superba L. (colchicaceae). Asia-Pacific Journal of Molecular Biology and Biotechnology 23(1):242−51

    Google Scholar

    [15]

    Abdalla N, El-Ramady H, Seliem MK, El-Mahrouk ME, Taha N, et al. 2022. An academic and technical overview on plant micropropagation challenges. Horticulturae 8:677

    doi: 10.3390/horticulturae8080677

    CrossRef   Google Scholar

    [16]

    Smith RH, Burrows J, Kurten K. 1999. Challenges associated with micropropagation of Zephyranthes and Hippesatrum sp. (Amaryllidaceae). In Vitro Cellular & Developmental Biology - Plant 35:281−82

    doi: 10.1007/s11627-999-0032-y

    CrossRef   Google Scholar

    [17]

    Us-Camas R, Rivera-Solís G, Duarte-Aké F, De-la-Peña C. 2014. In vitro culture: an epigenetic challenge for plants. Plant Cell, Tissue and Organ Culture (PCTOC) 118:187−201

    doi: 10.1007/s11240-014-0482-8

    CrossRef   Google Scholar

    [18]

    Haque SM, Ghosh B. 2018. An improved micropropagation protocol for the recalcitrant plant Capsicum – a study with ten cultivars of Capsicum spp. (C. annuum, C. chinense, and C. frutescens) collected from diverse geographical regions of India and Mexico. The Journal of Horticultural Science and Biotechnology 93:91−99

    doi: 10.1080/14620316.2017.1345331

    CrossRef   Google Scholar

    [19]

    Sokolov RS, Atanassova BY, Iakimova ET. 2014. Physiological response of in vitro cultured MAGNOLIA SP. to nutrient medium composition. Journal of Horticultural Research 22:49−61

    doi: 10.2478/johr-2014-0006

    CrossRef   Google Scholar

    [20]

    Teixeira da Silva JA, Cardoso JC, Dobránszki J, Zeng S. 2015. Dendrobium micropropagation: a review. Plant Cell Reports 34:671−704

    doi: 10.1007/s00299-015-1754-4

    CrossRef   Google Scholar

    [21]

    Gurung R, Sharma S, Sharma S, Sharma V. 2021. Gloriosa superba: Its properties and in vitro production methods. International Journal of Botany Studies 6:74−77

    Google Scholar

    [22]

    Muruganandam C, Mohideen MK, Barathkumar TR. 2019. Studies on in-vitro propagation in glory lily (Gloriosa superba L.). Annals of Plant and Soil Research 21:177−84

    Google Scholar

    [23]

    Singh D, Mishra M, Yadav A. 2015. Study the Effect of Growth Regulators on Micropropagation of Gloriosa superba L. from Seeds and Their Acclimatization. Annual Research & Review in Biology 7:84−90

    doi: 10.9734/ARRB/2015/12975

    CrossRef   Google Scholar

    [24]

    Sivakumar G, Krishnamurthy KV. 2004. In vitro organogenetic responses of Gloriosa superba. Russian Journal of Plant Physiology 51:713−21

    doi: 10.1023/B:RUPP.0000040761.45363.75

    CrossRef   Google Scholar

    [25]

    Somani V, John C, Thengane R. 1989. In vitro propagation and corm formation in Gloriosa superba. Indian Journal of Experimental Biology 27:578−79

    Google Scholar

    [26]

    Sivakumar S, Siva G, Sathish S, Prem Kumar G, Vigneswaran M, et al. 2019. Influence of exogenous polyamines and plant growth regulators on high frequency in vitro mass propagation of Gloriosa superba L. and its colchicine content. Biocatalysis and Agricultural Biotechnology 18:101030

    doi: 10.1016/j.bcab.2019.101030

    CrossRef   Google Scholar

    [27]

    Mosoh DA. 2024. Widely-targeted in silico and in vitro evaluation of veratrum alkaloid analogs as FAK inhibitors and dual targeting of FAK and Hh/SMO pathways for cancer therapy: A critical analysis. International Journal of Biological Macromolecules 281:136201

    doi: 10.1016/j.ijbiomac.2024.136201

    CrossRef   Google Scholar

    [28]

    Sanyal R, Nandi S, Pandey S, Das T, Kaur P, et al. 2022. In vitro propagation and secondary metabolite production in Gloriosa superba L. Applied Microbiology and Biotechnology 106:5399−414

    doi: 10.1007/s00253-022-12094-8

    CrossRef   Google Scholar

    [29]

    Ade R, Rai M. 2011. Multiple shoot formation in Gloriosa superba: A rare and endangered Indian medicinal plant. Nusantara Bioscience 3(2):68−72

    doi: 10.13057/nusbiosci/n030203

    CrossRef   Google Scholar

    [30]

    Murashige T, Skoog F. 1962. A revised medium for rapid growth and bio assays with tobacco tissue cultures. Physiologia plantarum 15:473−97

    doi: 10.1111/j.1399-3054.1962.tb08052.x

    CrossRef   Google Scholar

    [31]

    Wang Y, Dong W, Saha MC, Udvardi MK, Kang Y. 2021. Improved node culture methods for rapid vegetative propagation of switchgrass (Panicum virgatum L.). BMC Plant Biology 21:128

    doi: 10.1186/s12870-021-02903-z

    CrossRef   Google Scholar

    [32]

    Ahlawat J, Sehrawat AR, Choudhary R, Samarina L, Bandaralage JH, et al. 2020. Quantifying synergy of plant growth hormones, anti-oxidants, polyamines and silver nitrate for optimizing the micro propagation of Capparis decidua: an underutilised medicinal shrub. Nucleus 63:313−25

    doi: 10.1007/s13237-020-00333-0

    CrossRef   Google Scholar

    [33]

    Lian X, Liu S, Sikandar A, Kang Z, Feng Y, Jiang L, Wang Y. 2023. The influence of 6-Benzylaminopurine (BAP) on yield responses and photosynthetic physiological indices of soybean. Kuwait Journal of Science 50:345−52

    doi: 10.1016/j.kjs.2022.12.002

    CrossRef   Google Scholar

    [34]

    Murthy BNS, Murch SJ, Saxena PK. 1998. Thidiazuron: a potent regulator of in vitro plant morphogenesis. In vitro Cellular & Developmental Biology-Plant 34:267−75

    doi: 10.1007/BF02822732

    CrossRef   Google Scholar

    [35]

    Amali P, Ramakrishnan M, Kingsley SJ, Ignacimuthu S. 2014. Direct regeneration potential of Sorghum bicolor (L.) Moench under the influence of plant growth regulators. Plant Cell Biotechnology and Molecular Biology 15:118−26

    Google Scholar

    [36]

    Ghauri EG, Afridi MS, Marwat GA, Rahman I, Akram M. 2013. Micropropagation of Stevia rebaudiana Bertoni through root explants. Pakistan Journal of Botany 45:1411−16

    Google Scholar

    [37]

    Mondal TK, Bhattacharya A, Sood A, Ahuja PS. 1998. Micropropagation of tea (Camellia sinensis (L.) O. Kuntze) using Thidiazuron. Plant Growth Regulation 26:57−61

    doi: 10.1023/A:1006019206264

    CrossRef   Google Scholar

    [38]

    Huetteman CA, Preece JE. 1993. Thidiazuron: a potent cytokinin for woody plant tissue culture. Plant Cell, Tissue and Organ Culture (PCTOC) 33:105−19

    doi: 10.1007/BF01983223

    CrossRef   Google Scholar

    [39]

    Gübbük H, Pekmezci M. 2004. In vitro propagation of some new banana types (Musa spp.). Turkish Journal of Agriculture and Forestry 28:355−61

    Google Scholar

    [40]

    Thomas TD. 2008. The role of activated charcoal in plant tissue culture. Biotechnology Advances 26:618−31

    doi: 10.1016/j.biotechadv.2008.08.003

    CrossRef   Google Scholar

    [41]

    Wang PJ, Huang LC. 1976. Beneficial effects of activated charcoal on plant tissue and organ cultures. In Vitro 12:260−62

    Google Scholar

    [42]

    Abu-Romman SM, Al-Hadid KA, Arabiyyat AR. 2015. Kinetin is the most effective cytokinin on shoot multiplication from cucumber. Journal of Agricultural Science 7:159

    doi: 10.5539/jas.v7n10p159

    CrossRef   Google Scholar

    [43]

    Naaz A, Shahzad A, Anis M. 2014. Effect of adenine sulphate interaction on growth and development of shoot regeneration and inhibition of shoot tip necrosis under in vitro condition in adult Syzygium cumini L. — a multipurpose tree. Applied Biochemistry and Biotechnology 173:90−102

    doi: 10.1007/s12010-014-0797-2

    CrossRef   Google Scholar

    [44]

    Singh AK, Sharma MK, Chaudhary R, Sengar RS. 2017. Effects of BAP and adenine sulphate on shoot regeneration from callus in potato (Solanum Tuberosum L.). Biotech Today: An International Journal of Biological Sciences 7:49−51

    doi: 10.5958/2322-0996.2017.00006.0

    CrossRef   Google Scholar

    [45]

    Royani JI, Chotimah S, Utami RN, Fatma WS, Susiyanti, et al. 2021. Effect of Benzilaminopurine and Kinetin for shoot multiplication of Indigofera (Indigofera zollingeriana Miq.) by in vitro culture. IOP Conference Series: Earth and Environmental Science 637:012053

    doi: 10.1088/1755-1315/637/1/012053

    CrossRef   Google Scholar

    [46]

    Cardoso JC, Teixeira da Silva JA. 2013. Gerbera micropropagation. Biotechnology Advances 31:1344−57

    doi: 10.1016/j.biotechadv.2013.05.008

    CrossRef   Google Scholar

    [47]

    Trigiano RN, Gray DJ (eds.). 2010. Plant Tissue Culture, Development, and Biotechnology. 1st Edition. Boca Raton, FL, USA: CRC Press. 608 pp. doi: 10.1201/9781439896143

    [48]

    Vengadesan G, Pijut PM. 2009. In vitro propagation of northern red oak (Quercus rubra L.). In vitro Cellular & Developmental Biology-Plant 45:474−82

    doi: 10.1007/s11627-008-9182-6

    CrossRef   Google Scholar

    [49]

    Kim MS, Schumann CM, Klopfenstein NB. 1997. Effects of thidiazuron and benzyladenine on axillary shoot proliferation of three green ash (Fraxinus pennsylvanica Marsh.) clones. Plant Cell, Tissue and Organ Culture (PCTOC) 48:45−52

    doi: 10.1023/A:1005856720650

    CrossRef   Google Scholar

    [50]

    Satish L, Ceasar SA, Shilpha J, Rency AS, Rathinapriya P, et al. 2015. Direct plant regeneration from in vitro-derived shoot apical meristems of finger millet (Eleusine coracana (L.) Gaertn.). In Vitro Cellular & Developmental Biology - Plant 51:192−200

    doi: 10.1007/s11627-015-9672-2

    CrossRef   Google Scholar

    [51]

    Fujita H, Kawaguchi M. 2011. Strategy for shoot meristem proliferation in plants. Plant Signaling & Behavior 6:1851−54

    doi: 10.4161/psb.6.11.17656

    CrossRef   Google Scholar

    [52]

    Ezeibekwe I, Ezenwaka C, Mbagwu F, Unamba C. 2009. Effects of combination of different levels of Auxin (NAA) and Cytokinin (BAP) on in vitro propagation of Dioscorea rotundata L. (White Yam). Journal of Molecular Genetics 1:18−22

    doi: 10.3923/jmolgene.2009.18.22

    CrossRef   Google Scholar

    [53]

    Singh N, Meena MK, Patni V. 2011. Effect of plant growth regulators, explants type and efficient plantlet regeneration protocol through callus induction in Naringi crenulata (Roxb.) Nicolson and its biochemical investigation. African Journal of Biotechnology 10:17769−777

    doi: 10.5897/AJB11.1158

    CrossRef   Google Scholar

    [54]

    Imtiaz M, Khattak AM, Ara N, Iqbal A, Rahman H. 2014. Micropropagation of Jartorpha curcas L. through shoot tip explants using different concentrations of phytohormones. The Journal of Animal & Plant Sciences 24:229−33

    Google Scholar

    [55]

    Mosoh DA, Khandel AK, Verma SK, Vendrame WA. 2024. Overcoming dual seed dormancy and enhancing in vitro seedling development of Gloriosa superba (L.) with a targeted sterilization approach and plant growth regulator synergy. Tropical Plants 3:e031

    doi: 10.48130/tp-0024-0033

    CrossRef   Google Scholar

    [56]

    Chatterjee T, Ghosh B. 2015. An efficient method of in vitro propagation of Gloriosa superba L. - an endangered medicinal plant. Plant Science Research 37:18−23

    Google Scholar

    [57]

    Mosoh DA, Khandel AK, Verma SK, Vendrame WA. 2023. Effects of sterilization methods and plant growth regulators on in vitro regeneration and tuberization in Gloriosa superba (L.). In Vitro Cellular & Developmental Biology - Plant 59:792−807

    doi: 10.1007/s11627-023-10387-9

    CrossRef   Google Scholar

    [58]

    Hassan AKMS, Roy SK. 2005. Micropropagation of Gloriosa superba L. through high frequency shoot proliferation. Plant Tissue Culture & Biotechnology 15(1):67−74

    Google Scholar

    [59]

    Hoang NN, Kitaya Y, Shibuya T, Endo R. 2020. Effects of supporting materials in in vitro acclimatization stage on ex vitro growth of wasabi plants. Scientia Horticulturae 261:109042

    doi: 10.1016/j.scienta.2019.109042

    CrossRef   Google Scholar

    [60]

    Mosoh DA, Khandel AK, Verma SK, Vendrame WA. 2024. Optimizing callus induction and indirect organogenesis in non-dormant corm explants of Gloriosa superba (L.) via media priming. Frontiers in Horticulture 3:1378098

    doi: 10.3389/fhort.2024.1378098

    CrossRef   Google Scholar

    [61]

    Teixeira da Silva JA, Hossain MM, Sharma M, Dobránszki J, Cardoso JC, et al. 2017. Acclimatization of in vitro-derived Dendrobium. Horticultural Plant Journal 3:110−24

    doi: 10.1016/j.hpj.2017.07.009

    CrossRef   Google Scholar

  • Cite this article

    Mosoh DA, Khandel AK, Verma SK, Vendram WA. 2024. Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.). Tropical Plants 3: e039 doi: 10.48130/tp-0024-0038
    Mosoh DA, Khandel AK, Verma SK, Vendram WA. 2024. Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.). Tropical Plants 3: e039 doi: 10.48130/tp-0024-0038

Figures(15)  /  Tables(5)

Article Metrics

Article views(1394) PDF downloads(290)

ARTICLE   Open Access    

Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.)

Tropical Plants  3 Article number: e039  (2024)  |  Cite this article

Abstract: Gloriosa superba L., commonly known as glory lily, is a monocotyledonous plant with both ornamental and medicinal value. In this study, the objective was to develop a reliable and reproducible technique for inducing organogenic bud formation from various explants of the glory lily. The effects of different types and combinations of plant growth regulators (PGRs) on in vitro plant regeneration using Murashige and Skoog medium (MS) across different explant types were investigated. This study established protocols for shoot induction and plant regeneration using apical shoot, meristem, shoot tip, nodal segment, and non-dormant corm explants of Gloriosa superba L. For nodal explants, the highest shoot induction rate of 88.9% was achieved with 1.5 mg·L−1 6-benzylaminopurine (BAP) and 0.2 mg·L−1 thidiazuron (TDZ), with shoots forming within 8 d. Non-dormant corm explants demonstrated the highest shoot induction rate of 91.7% when treated with 1.5 mg·L−1 BAP and 10 mg·L−1 adenine sulfate (ADS), with shoots forming within 7 d. For shoot tip explants, a maximum shoot induction rate of 86.1% was observed with a combination of 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, and 8 mg·L−1 ADS, with shoot formation occurring within 6 d. Apical shoot explants showed an 85.4% shoot induction rate when supplemented with 1.5 mg·L−1 BAP and 0.2 mg·L−1 1-naphthaleneacetic acid (NAA), with shoots forming within 8.25 d. Finally, meristem explants achieved a maximum shoot induction rate of 89.6% with 1.5 mg·L−1 BAP and 0.2 mg·L−1 NAA, with shoots forming within 7 d. All rooting treatments successfully induced root formation, with the most effective results observed on half-strength MS medium supplemented with 1.0 mg·L−1 IBA. This treatment achieved the highest rooting response rate of 81.3% and the longest average root length of 4.64 cm. The in vitro-grown plantlets were effectively acclimatized and transplanted into a garden soil mixture of sand and vermiculite (2:1:1, v/v) under direct sunlight, achieving a survival rate of 60% after ten weeks. This study underscores the significance of a multi-explant in vitro regeneration system for the conservation of Gloriosa superba L., emphasizing the strategic application of plant growth regulators and the process of direct organogenesis. The findings offer a comprehensive framework for the sustainable management and preservation of this species.

    • Endangered plants often grapple with challenges such as habitat loss, overexploitation, and disease susceptibility, making their conservation a complex task. Plant tissue culture offers a powerful tool in this battle against extinction[1,2]. It allows for the propagation of rare and threatened plant species in controlled environments, enabling the mass production of genetically identical individuals. This not only aids in augmenting dwindling populations but also ensures the preservation of their genetic diversity through the application of an advanced plant tissue culture technique known as cryopreservation[3,4]. Moreover, it provides a means to recover and propagate plants from limited or damaged wild populations, acting as a form of botanical insurance. Plant tissue culture also helps overcome the reproductive barriers that some endangered species face, including low seed viability, self-incompatibility, or complex pollination requirements[5]. Furthermore, it allows for the rescue and preservation of unique and valuable plant traits that might otherwise be lost. Beyond conservation, these techniques play a vital role in research and the development of sustainable cultivation methods for endangered species that have economic, medicinal, or ecological significance[6,7].

      Gloriosa superba L., an endangered perennial climber from the Liliaceae family, is native to South-East Asia and Africa, with its significance spanning both ornamental and medicinal applications, primarily attributed to the alkaloid colchicine and its derivatives[8,9]. The soaring global demand for biomass has outstripped supply, driving unsustainable harvesting practices that significantly impede its natural regeneration in the wild[10,11]. This perilous situation has escalated to the point where Gloriosa superba L. faces a high risk of extinction, emphasizing the urgent need for its conservation[11,12]. Compounded by factors such as poor seed germination due to a hard seed coat and seed dormancy, vulnerability to soil microorganisms impacting vegetative propagation via tubers, and ongoing unsustainable harvesting practices, the situation becomes even more precarious[11,13]. Consequently, the exploration of alternative methods, including in vitro propagation, has become paramount for conservation efforts[14]. However, this study advocates for a paradigm shift in the current prevailing practices within the global plant tissue culture community for the conservation of endangered plant species through in vitro propagation methods.

      Plant tissue culture techniques play a crucial role in plant regeneration and propagation[2]. Direct organogenesis, one such technique entails the immediate differentiation of shoots, roots, or other plant organs from the chosen explant, omitting the need for an intermediate callus formation. Conversely, indirect organogenesis involves a multi-step process wherein callus tissue serves as an intermediary stage in the regeneration process. Through this method, shoots, roots, or other plant organs differentiate from undifferentiated callus tissue, offering an alternative approach to plant propagation and regeneration. However, developing a multi-explant in vitro regeneration protocol utilizing multiple explant types simultaneously is of paramount importance for plant conservation efforts, as it offers numerous advantages that can significantly impact the field. Traditional conservation studies often employ single explant types, making it challenging to draw comprehensive conclusions and reducing the flexibility to adapt to variable conditions such as biological, physiological, and technical challenges[15]. The implementation of a multi-explant regeneration system transcends these limitations by providing multiple alternatives. This approach not only mitigates the difficulties associated with comparing studies employing just one explant type but also addresses the confounding effects of inter-study variability, enhancing the reliability and robustness of the data gathered. It is a novel concept in the sense that it leverages the versatility of plant tissue culture techniques to tackle the intricacies of plant conservation comprehensively, thus representing a paradigm shift in the field. By promoting multi-explant in vitro plant regeneration methods, future plant conservation programs can benefit from a more holistic and adaptable approach. This, in turn, not only refines the quality of research within a single study but also fosters a deeper understanding of the dynamic response of multiple explants to various experimental factors and plant growth regulator treatment combinations. As a result, this approach should be the new norm in plant conservation studies employing plant tissue culture techniques, ushering in a paradigm shift in plant conservation.

      Regardless of the chosen approach, in vitro clonal propagation offers numerous advantages, such as the production of virus-free and true-to-type plant stocks. However, it comes with its share of challenges, including issues like vitrification, phenolic leakage, medium browning, poor explant response, recalcitrance, and contamination, which can impede explant growth and overall tissue culture success[16,17]. The selection of appropriate explants is pivotal in formulating a successful in vitro clonal propagation protocol. The type, age, physiological state, and culture method of the chosen explants play a crucial role in influencing culture initiation and subsequent morphogenetic responses[18,19]. Moreover, factors such as plant material availability, seasonal development (particularly relevant in floral tissues), infection levels, and tissue abundance, especially concerning juvenile tissues, further dictate the selection of suitable explants[20]. In this context, prior studies have successfully demonstrated in vitro regeneration using a wide array of Gloriosa superba L. explants, including nodal segments, axillary buds, root explants, young leaves, stems, pedicels, both dormant and non-dormant corm buds, seeds, tubers, and shoot tips sourced from aerial shoots[14,2125]. However, these studies predominantly focused on one explant type at a time, often under differing conditions, limiting the possibility of an unbiased comparison.

      Through a comprehensive analysis of the existing literature concerning in vitro propagation methods for Gloriosa superba L., it became evident that only a limited number of studies have developed plant regeneration protocols via direct organogenesis, and the choice of explant type has been predominantly restricted to shoot tip explants (Supplementary Table S1). In contrast, there are many in vitro protocols centered around callus formation and indirect organogenesis, primarily driven by the potential of harnessing callus for the production of the valuable secondary metabolite, colchicine, which holds immense pharmaceutical and commercial significance[21,24,26,27]. This has created misconceptions and disparities in the literature, as most studies do not provide clarity regarding the distinction between direct and indirect organogenesis approaches, particularly in the context of Gloriosa superba L. For example, a critical examination of many prior in vitro clonal propagation studies on Gloriosa superba L. reveal instances where indirect organogenesis has been wrongly reported as direct organogenesis, potentially confusing[22,28].

      Furthermore, while this study strongly advocates the necessity of implementing multi-explant in vitro propagation strategies for the conservation of endangered plants, indeed, this approach has been applied in the case of Gloriosa superba L. In this case, only three prior studies were identified in the existing literature. However, in all three cases, the multi-explant approaches exclusively focused on indirect organogenesis through callus derived from various explant types often with a limited interpretation and documentation of results concerning shoot initiation, affirming the aforementioned rationale (Supplementary Tables S2S4). To the best of our knowledge, there is no record of any study presenting a multi-explant in vitro propagation method for the conservation of Gloriosa superba L. through direct organogenesis. The unavailability of such studies is attributable to the prevailing misconceptions surrounding direct and indirect organogenesis in Gloriosa superba L. Ade & Rai[29] conducted a comprehensive study examining the impact of various media types (including Murashige & Skoog[30], Gamborg's B5, Nitsch medium, White's medium, and Chu's N6, each supplemented with Coconut water) on callus growth and the formation of multiple shoots in Gloriosa superba L., utilizing a range of explants such as leaves, non-dormant corm buds, auxiliary buds, nodal portions, and seeds. All experiments in this study used the Murashige and Skoog (MS) medium because their findings showed it to be the best option for this specific plant species. Moreover, this research endeavors to rectify prevailing misinformation surrounding direct organogenesis in Gloriosa superba L. by exemplifying the multi-explant approach for direct organogenesis in Gloriosa superba L.

      Therefore, this study aims to establish a robust multi-explant regeneration system that simultaneously utilizes and compares the effect of various types and combinations of plant growth regulators (PGRs) on direct organogenesis from apical shoots, meristems, shoot tips, nodal segments, and non-dormant corm explants of Gloriosa superba L. This approach allows for a fair and impartial comparison of various PGR treatments and explant types for direct organogenesis, facilitating the identification of the most effective process for in vitro clonal propagation for conservation purposes. Additionally, it tackles the issue of inter-study variability, a common challenge when studies rely on fewer than two explant types, in contrast to the five explored in this study. The goal of this inclusive approach is to not only identify the best type of explant and plant growth regulator (PGR) treatment for direct organogenesis but also to address the urgent need for conservation. This new approach is essential for advancing research on plant conservation, ensuring a complete understanding of how different types of explants respond to various PGR treatments, and establishing a standard for a comprehensive evaluation in the important task of conserving endangered plant species like Gloriosa superba L.

    • The plant materials used in this study were collected from the Pachmarhi Biosphere Reserve in Madhya Pradesh, India. Specifically, shoot tips and meristem explants were selected from in vitro cultivated Gloriosa superba L. plants. Additionally, explants such as apical shoots, nodal segments, and non-dormant corms were excised from healthy, mature plants and employed as sources for further experimentation. Murashige and Skoog (MS) medium (1962)[30] was employed for the culture media, along with specific supplements and growth regulators. Adenine sulphate (ADS), activated charcoal (AC), 6-benzylaminopurine (BAP), kinetin (KN), thidiazuron (TDZ), indole-3-acetic acid (IAA), indole-3-butyric acid (IBA), 1-naphthaleneacetic acid (NAA), and their respective solvents were procured from Sigma-Aldrich (Mumbai, India).

    • Nodal segments and non-dormant corm explants underwent a thorough washing process to ensure their cleanliness. Initially, the explants were immersed in Teepol solution (5% v/v) for 20 min, followed by three rinses with double distilled water (DDW). Subsequently, they were washed with Bavistin solution (1% w/v) for 30 min and rinsed three times with DDW. The explants were treated within a laminar flow hood to achieve surface sterilization. They were first exposed to 70% ethanol (v/v) for 20 s, followed by immersion in 0.1% HgCl2 (w/v) for 5 min. Afterward, the explants were rinsed three times with sterile water to remove residual sterilising agents. These sterilized explants were then prepared by cutting them into small segments using sterile scalpel blades before being transferred to the culture media. On the other hand, uncontaminated shoot tips and meristem explants, obtained directly from in vitro grown plants, were considered already clean and required only three rinses with sterile water before culture establishment.

    • The cultures were carefully maintained on shelves within a dedicated growth room. Two centrally positioned fluorescent bulbs (Philips, India) were installed approximately 25−30 cm above the culture vessels to ensure a photosynthetic photon flux density of 80 μmol·m−2·s−1. The photoperiod was set to 16 h of light and 8 h of darkness. The growth room maintained a consistent temperature range of 25 ± 2 °C during the light period, while it gradually decreased to 5 °C in the dark period. This controlled temperature regime provided optimal conditions for the cultures' growth and development.

    • This study investigated the effect of different types, combinations, and concentrations of plant growth regulators (PGRs) on direct organogenesis in various explants of Gloriosa superba L., involving apical shoots, nodal segments, non-dormant corms, and in vitro shoot tips and meristems.

    • Nodal explants (3 cm long) that had undergone surface sterilisation were aseptically transferred to culture media containing varying concentrations of plant growth regulators, specifically BAP (0.5−2.5 mg·L−1) and TDZ (0.1−1.0 mg·L−1), as shown in Table 1. The culture medium comprised full-strength MS basal salts with 2% (w/v) sucrose (HiMedia, India), pH of 5.8, solidified using 0.8% (w/v) agar (HiMedia, India). The culture flasks containing 50 ml of basal MS medium were sealed with non-absorbent cotton plugs and autoclaved at 121 °C and 104 kPa pressure for 20 min to maintain sterility. Each treatment consisted of four replications containing nine surface sterilized nodal explants cultured individually in 250 ml flasks. After a six-week incubation period, the cultures were evaluated, and data was recorded on parameters including the number of nodal explants forming shoots, the response rate to the shooting treatment, the time required for shoot induction, the number of new shoots per explant, and the length of the shoots in centimeters.

      Table 1.  Concentrations and combinations of 6-benzylaminopurine (BAP) and thidiazuron (TDZ) evaluated for their efficacy in inducing direct organogenesis in nodal explants of Gloriosa superba L.

      Group Treatments PGR combinations (mg·L−1)
      BAP TDZ
      T1 (control) 0.0 0.0
      1 T2 0.5 0.0
      T3 1.0 0.0
      T4 1.5 0.0
      T5 2.0 0.0
      T6 2.5 0.0
      2 T7 0.5 0.1
      T8 0.5 0.2
      T9 1.0 0.2
      T10 1.0 0.5
      T11 1.5 0.2
      T12 1.5 0.5
      T13 1.5 1.0
      T14 2.0 0.5
      T15 2.0 1.0
      T16 2.5 0.5
      T17 2.5 1.0
    • Non-dormant corm explants (1 cm × 1 cm), having undergone surface sterilization, were aseptically placed onto culture media with varying concentrations of plant growth regulators. Specifically, BAP (0.5−2.5 mg·L−1) in combination with either ADS (1.5 mg·L−1) or AC (10−20 mg·L−1) and KN (0.2−2.5 mg·L−1) in combination with either ADS (1.5 mg·L−1) or AC (10−20 mg·L−1) as indicated in Table 2. The medium consisted of half-strength MS basal salts and vitamins, supplemented with 2% (w/v) sucrose (HiMedia, India). The pH of the medium was adjusted to 5.8, and solidification was achieved by incorporating 0.8% (w/v) agar (HiMedia, India). To maintain aseptic conditions, culture flasks containing 50 ml of basal MS were sealed with non-absorbent cotton plugs and autoclaved at 121 °C and 104 kPa pressure for 20 min. Each treatment included four replications containing nine surface sterilized non-dormant corm explants cultured individually in 250 ml flasks. After a six-week incubation period, the cultures were assessed, and data was collected on parameters such as the number of non-dormant corm explants forming shoots, the response rate to the shooting treatment, the time required for shoot induction, the number of new shoots per explant, and the length of the shoots in centimeters.

      Table 2.  Concentrations and combinations of 6-benzylaminopurine (BAP), kinetin (KN), activated charcoal (AC), and adenine sulphate (ADS) evaluated for their efficacy in inducing direct organogenesis in non-dormant corm explants of Gloriosa superba L.

      Group Treatments PGR combinations (mg·L−1)
      BAP KN AC (mg·L−1)
      T1 (control) 0.0 0.0 0.0
      1 T2 0.2 1.5
      T3 0.5 1.5
      T4 1.0 1.5
      T5 1.5 1.5
      T6 2.0 1.5
      T7 2.5 1.5
      2 T8 0.2 1.5
      T9 0.5 1.5
      T10 1.0 1.5
      T11 1.5 1.5
      T12 2.0 1.5
      T13 2.5 1.5
      ADS (mg·L−1)
      3 T14 0.5 10
      T15 1.0 10
      T16 1.5 10
      T17 0.5 20
      T18 1.0 20
      T19 1.5 20
      4 T20 0.5 10
      T21 1.0 10
      T22 1.5 10
      T23 0.5 20
      T24 1.0 20
      T25 1.5 20
    • Uncontaminated in vitro derived shoot tip explants (2 cm long) were aseptically placed onto culture media with varying concentrations of plant growth regulators, namely BAP (0.5−2.5 mg·L−1), TDZ (0.1−1.0 mg·L−1), and ADS (5−10 mg·L−1) as presented in Table 3. The composition of the medium consisted of full-strength MS basal salts with 2% (w/v) sucrose (HiMedia, India), pH adjusted to 5.8, and solidification was achieved by incorporating 0.8% (w/v) agar (HiMedia, India). The culture vessels containing 50 ml of basal MS were sealed using non-absorbent cotton plugs to maintain sterile conditions and subjected to autoclaving at 121 °C under 104 kPa pressure for 20 min. Each treatment included four replications, with each replicate containing nine surface sterilized shoot tip explants cultured individually in 250 ml flasks. Following a six-week incubation period, the cultures were assessed, and data was collected on parameters such as the number of shoot tip explants forming shoots, the response rate to the shooting treatment, the time required for shoot induction, the number of new shoots per explant, and the length of the shoots in centimeters.

      Table 3.  Concentrations and combinations of 6-benzylaminopurine (BAP), thidiazuron (TDZ), and adenine sulphate (ADS) evaluated for their efficacy in inducing direct organogenesis in shoot tip explants of Gloriosa superba L.

      Group Treatments PGR combinations (mg·L−1)
      BAP TDZ ADS
      T1 (control) 0.0 0.0 0.0
      1 T2 0.5 0.0 5
      T3 1.0 0.0 5
      T4 1.5 0.0 5
      T5 2.0 0.0 5
      T6 2.5 0.0 5
      2 T7 0.5 0.1 8
      T8 0.5 0.2 8
      T9 1.0 0.2 8
      T10 1.0 0.5 8
      T11 1.5 0.2 8
      T12 1.5 0.5 8
      3 T13 1.5 1.0 10
      T14 2.0 0.5 10
      T15 2.0 1.0 10
      T16 2.5 0.5 10
      T17 2.5 1.0 10
    • In separate experiments, surface sterilized apical shoots (2 cm long) and uncontaminated in vitro-derived meristem explants (2 cm long) were introduced to culture media with varying concentrations of plant growth regulators. Specifically, BAP (0.5−2.0 mg·L−1), KN (0.5−2.0 mg·L−1), and BAP (0.5−2.0 mg·L−1) in combination with NAA (0.1–0.8 mg·L−1) were utilized, as depicted in Table 4. The composition of the medium consisted of full-strength MS basal salts with 2% (w/v) sucrose (HiMedia, India), pH adjusted to 5.8, and solidification was achieved by incorporating 0.8% (w/v) agar (HiMedia, India). The culture vessels containing 50 ml of basal MS were sealed using non-absorbent cotton plugs to maintain aseptic conditions and autoclaved at 121 °C under 104 kPa pressure for 20 min. Each experiment included four replications containing 12 surface sterilized apical shoot and meristem explants cultured individually in 250 ml flasks. After a six-week incubation period, the cultures were assessed, and data was collected on various parameters, including the count of explants forming shoots, the response rate to the shooting treatment, the time required for shoot induction, the number of new shoots per explant, and the length of the shoots in centimeters.

      Table 4.  Concentrations and combinations of 6-benzylaminopurine (BAP), kinetin (KN), and 1-naphthaleneacetic acid (NAA) evaluated for their efficacy in inducing direct organogenesis in apical shoot and meristem explants of Gloriosa superba L.

      Group Treatments PGR combinations (mg·L−1)
      BAP NAA KN
      1 T1 0.5
      T2 1.0
      T3 1.5
      T4 2.0
      2 T5 0.5 0.1
      T6 1.0 0.2
      T7 1.5 0.4
      T8 2.0 0.6
      T9 2.5 0.8
      3 T10 0.5
      T11 1.0
      T12 1.5
      T13 2.0
      T14 (control) 0.0 0.0 0.0
    • An equivalent number of micro shoots (6–8 cm long) were randomly selected from in vitro cultures of apical shoots, meristems, nodal segments, non-dormant corms, and shoot tip explants. These excised micro shoots were assigned, following a completely randomized design, to culture media containing IBA (0.5–1.5 mg·L−1), IAA (0.5–1.5 mg·L−1), or NAA (0.5–1.5 mg·L−1), as illustrated in Table 5. The medium composition consisted of half-strength MS basal salts with a pH adjusted to 5.8. Solidification was achieved by incorporating 0.8% (w/v) agar (HiMedia, India). The culture flasks were sealed with non-absorbent cotton plugs and autoclaved at 121 °C under 104 kPa pressure for 20 min to maintain aseptic conditions. Each treatment was replicated four times, with each replicate containing 12 uncontaminated micro shoots cultured individually in 250 ml flasks. The cultures were maintained under the same conditions as previously described. After a six-week incubation period, the cultures were assessed, and data was collected on the number of micro shoots developing roots, the response rate to the rooting treatment, the time required for root induction, and the length of the roots in centimeters.

      Table 5.  Concentrations of indole-3-butyric acid (IBA), indole-3-acetic acid (IAA), and 1-naphthaleneacetic acid (NAA) evaluated for their efficacy in inducing rooting in micro shoots derived from nodal, non-dormant corm, shoot tip, apical shoot, and meristem explants of Gloriosa superba L.

      Treatments ½ MS + Auxins (mg·L−1)
      IBA
      T1 0.5
      T2 1.0
      T3 1.5
      IAA
      T4 0.5
      T5 1.0
      T6 1.5
      NAA
      T7 0.5
      T8 1.0
      T9 1.5
      T10 (control) 0.0
    • To prepare for acclimatization, well-developed plantlets were carefully harvested from the rooting medium and thoroughly rinsed with deionized water to eliminate any residual medium. Subsequently, the plantlets were transferred to small polyethene bags, plastic trays, plastic pots, or 7-cm-diameter thermocol cups. The containers were filled with sterile vermiculite and soil mixed in a 1:1 ratio. During the initial acclimatisation stage, the plantlets were placed under a 16-h photoperiod with a photosynthetic photon flux density of 50 μmol m−2s−1 provided by white fluorescent tubes (40 W; Philips, India). Plantlets were covered with polyethene bags with small air holes to maintain high humidity and prevent dehydration. The culture room was kept at a temperature of 25 ± 2 °C. The bags were removed for 1 h each day. For two weeks, the potted plantlets were irrigated every 4 d with 10 ml of half-strength Murashige & Skoog[30] basal salt solution (excluding sucrose and myo-inositol), adjusted to a pH of 5.8.

      After the initial acclimatization, the plantlets were transplanted into medium-sized polyethene bags, plastic cups, or thermocol cups containing a mixture of garden soil, sand, and vermiculite in a ratio of 2:1:1 (v/v). These transplanted plantlets were placed in a shade net house (SNH) for two weeks with regular misting using tap water. The relative humidity (RH) was gradually reduced by 50%. Subsequently, the plantlets were transplanted into larger earthen pots with a diameter of 15 cm, filled with a standard mixture of garden soil, sand, and farmyard manure in a ratio of 2:1:1 (v/v). These pots were kept in direct sunlight for ten weeks (i.e., until the 14th week).

      Measurements of plant survival, plant height (cm), number of leaves per plant, number of flowers per plant, and number of micro-tubers per plant were recorded two weeks after transplantation in sterilized vermiculite and soil (1:1) in the culture room (CR), two weeks after transplantation in garden soil, sand, and vermiculite (2:1:1) under shade in the net house (USNH), and ten weeks after transplantation in standard garden soil, sand, and farmyard manure (2:1:1) under direct sunlight. Data was collected for 14 weeks following the initiation of micro shoot acclimatisation. Weekly observations were made after the transplantation of micro-plantlets into the aforementioned potting mixtures. Each treatment consisted of four replicates containing 14 micro-plantlets, resulting in 56 micro-plantlets observed per treatment. The survival rate of the regenerated plantlets was calculated using the equation: Survival rate (%) = (Number of surviving regenerated plants / Total number of transplanted regenerated plants) × 100%. The presented data represents the mean values with standard error (SE).

    • A completely randomized experimental design was employed for all experiments, where seeds and seedlings were randomly assigned to different treatment groups. In the in vitro shoot multiplication and in vitro rooting experiments, each treatment level was replicated four times, with nine explants and 12 micro shoots in each replicate, respectively. The experiments were repeated twice to ensure the reliability of the results. Data for all parameters were collected after six weeks. The percent response to treatment was calculated as the number of explants or micro shoots that exhibited a positive response divided by the total number of replicates multiplied by 100. The normality of the data was assessed using the Shapiro-Wilk test. If the normality test yielded a non-significant result (p ≥ 0.05), a parametric test (one-way ANOVA at α = 0.05) was utilized to compare the means. Conversely, if the normality test yielded a significant result (p ≤ 0.05), a non-parametric test (Kruskal-Wallis test at α = 0.05) was employed for mean comparisons. Data analysis was performed using R Studio software (version 4.4.0), applying one-way analysis of variance (ANOVA) and the Kruskal-Wallis test. Mean separation was conducted using Tukey's honestly significant difference (HSD) test at α = 0.05. All results were expressed as mean values ± standard error. Different letters in the figures indicated significant differences at the p ≤ 0.05 level.

    • The application of various plant growth regulators at different concentrations significantly affected the in vitro regeneration of shoots from nodal, non-dormant corm, shoot tip, apical shoot, and meristem explants of Gloriosa superba L. During the shoot morphogenesis process, no root formation was observed, and no callus development occurred at the base of the shoots. Additionally, the leaves did not exhibit hyperhydricity (Supplementary Figs S1S7 illustrate these observations).

    • Overall, the concentration of BAP influenced the shoot induction response rate (Fig. 1). The nodal explants treated with 1.5 mg·L−1 of BAP exhibited the highest rate of shoot formation. However, this was not statistically different from the other treatments (Fig. 1b) (p > 0.276). Similar trends were observed in the average number of days required for shoot induction and average shoot length (cm), except for shoot proliferation, where significant differences were noted (Fig. 1e). Treatment with 1.5 mg·L−1 BAP achieved the highest shoot response rate (50.0%), followed by 1.0 mg·L−1 BAP (41.7%), 0.5 mg·L−1 BAP (38.9%), and 2.0 mg·L−1 BAP (36.1%) (Fig. 1b). The shortest average time required for shoot formation (12 d) was observed with 0.5 mg·L−1 BAP and 1.0 mg·L−1 BAP, which was significantly shorter than the control (p < 0.03834) but not different from the other treatments (Fig. 1c). Except for the control, there were no significant differences in the average number of shoots per explant among the treatments (p > 0.120). The highest number of shoots per nodal explant (3.25) was recorded for 1.5 mg·L−1 BAP (Fig. 2d). Treatment with 1.5 mg·L−1 BAP also resulted in an average shoot length of 3.77 cm. This was significantly longer than what was seen with T5, T6, and the control (Fig. 1e) (p < 0.001).

      Figure 1. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in nodal explant of Gloriosa superba L. (a) Mean nodal explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T2: 0.5 mg·L−1 BAP; T3: 1.0 mg·L−1 BAP; T4: 1.5 mg·L−1 BAP; T5: 2.0 mg·L−1 BAP; T6: 2.5 mg·L−1 BAP. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

      Figure 2. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in nodal explant of Gloriosa superba L. (a) Mean nodal explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T7: 0.5 mg·L−1 BAP, 0.1 mg·L−1 TDZ; T8: 0.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ; T9: 1.0 mg·L−1 BAP, 0.2 mg·L-1 TDZ; T10: 1.0 mg·L−1 BAP, 0.5 mg·L−1 TDZ; T11: 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ; T12: 1.5 mg·L−1 BAP, 0.5 mg·L−1 TDZ; T13: 1.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ; T14: 2.0 mg·L−1 BAP, 0.5 mg·L−1 TDZ; T15: 2.0 mg·L−1 BAP, 1.0 mg·L−1 TDZ; T16: 2.5 mg·L−1 BAP, 0.5 mg·L−1 TDZ; T17: 2.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The types and concentrations of cytokinins used significantly influenced the response rate to the shooting treatment (Figs 1 & 2). Treatment of nodal explants with 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ yielded the most rapid and optimal response for shoot formation, showing statistically significant differences compared to all other treatments, including the control (Fig 2ac) (p < 0.001). After six weeks of incubation, this treatment also resulted in the highest shoot length (biomass) and shoot proliferation (the average number of shoots per explant). While the shoot length was statistically significant, the differences in shoot proliferation were not (Fig 2d & e). The highest shoot response rate, 88.89%, was achieved with 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ, significantly differing from the control and other combinations, including 2.0 mg·L−1 BAP + 1.0 mg·L−1 TDZ, 2.5 mg·L−1 BAP + 0.5 mg·L−1 TDZ, and 2.5 mg·L−1 BAP + 1.0 mg·L−1 TDZ (Fig. 2b) (p < 0.001). However, no significant differences in shoot proliferation were observed across the treatments (Fig. 2d).

      The shortest time to shoot formation (8 d) was observed with 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ, which was significantly different from both the control and 2.5 mg·L−1 BAP + 1.0 mg·L−1 TDZ (Fig. 2c) (p < 0.001). While there was no significant difference in the average number of shoots per explant, the highest number (5.75) was recorded with the 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ treatment (Fig. 2d) (p > 0.2307). This treatment also exhibited the greatest average shoot length (6.71 cm), which was significantly different from the control and other treatments, including T7, T13, T14, T15, T16, and T17 (Fig. 2e) (p < 0.001). Furthermore, the base of the shoots showed no callus formation, and the leaves showed no signs of hyperhydricity (Supplementary Fig. S1).

    • The treatment of 1.5 mg·L−1 BAP + 1.5 mg·L−1 AC achieved the highest shoot response rate, 63.89%, significantly surpassing the control. This was followed by the treatments with 1.0 mg·L−1 BAP + 1.5 mg·L−1 AC and 0.5 mg·L−1 BAP + 1.5 mg·L−1 AC, which also differed significantly from the control (Fig. 3a & b). No significant differences in shoot formation were observed among the remaining treatments (Fig. 3a) (p > 0.095). The time required for shoot formation was consistently 12 d across all treatments (p > 0.122), with a statistically significant difference observed only in the control (p < 0.001) (Fig. 3c). The treatment of 1.5 mg·L−1 BAP + 1.5 mg·L−1 AC also resulted in the highest average number of shoots per explant (5.5), although this did not significantly differ from other treatments except the control (Fig. 3d) (p > 0.066). The second-highest average number of shoots per explant (5.0) was observed with 1.0 mg·L−1 BAP + 1.5 mg·L−1 AC. Regarding shoot length, the highest average of 4.93 cm was recorded with 1.5 mg·L−1 BAP + 1.5 mg·L−1 AC, which did not significantly differ from other treatments except the control (Fig. 3e) (p < 0.020). The treatment of 1.0 mg·L−1 BAP + 1.5 mg·L−1 AC produced the second-highest average shoot length of 4.77 cm. The base of the shoots showed no callus, and the leaves showed no signs of hyperhydricity (Supplementary Figs S2S4).

      Figure 3. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in non-dormant corm explant of Gloriosa superba L. (a) Mean non-dormant corm explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T2: 0.2 mg·L−1 BAP, 1.5 mg·L−1 AC; T3: 0.5 mg·L−1 BAP, 1.5 mg·L−1 AC; T4: 1.0 mg·L−1 BAP, 1.5 mg·L−1 AC; T5: 1.5 mg·L−1 BAP, 1.5 mg·L−1 AC; T6: 2.0 mg·L−1 BAP, 1.5 mg·L−1 AC; T7: 2.5 mg·L−1 BAP, 1.5 mg·L−1 AC. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The highest shoot response rate of 50.0% was achieved with the treatment of 1.5 mg·L−1 KN + 1.5 mg L−1 AC, followed by 1.0 mg·L−1 KN + 1.5 mg·L−1 AC, and 0.5 mg·L−1 KN + 1.5 mg·L−1 AC (Fig. 4b). Statistical analysis revealed no significant differences in shoot formation among these treatments, except for the control (Fig. 4a) (p < 0.017). The shortest time to shoot formation, averaging 15 d was observed with 1.5 mg·L−1 KN + 1.5 mg·L−1 AC, although this did not differ significantly from other treatments, excluding the control (Fig. 4c) (p < 0.001). The treatment of 1.5 mg·L−1 BAP + 1.5 mg·L−1 AC resulted in the highest average number of shoots per explant (3.25), which was not significantly different from other treatments, including the control (p > 0.29) (Fig. 4d). The second-highest average number of shoots per explant (3.00) was achieved with 1.0 mg·L−1 BAP + 1.5 mg·L−1 AC. For average shoot length, 1.5 mg·L−1 BAP + 1.5 mg·L−1 AC yielded the greatest length of 2.52 cm, which did not significantly differ from other treatments, including the control (p > 0.138) (Fig. 4e). The second-highest average shoot length (2.38 cm) was observed with 1.0 mg·L−1 BAP + 1.5 mg·L−1 AC. The base of the shoots showed no callus, and the leaves showed no signs of hyperhydricity (Supplementary Figs S2S4).

      Figure 4. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in non-dormant corm explant of Gloriosa superba L. (a) Mean non-dormant corm explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T8: 0.2 mg·L−1 KN, 1.5 mg·L−1 AC; T9: 0.5 mg·L−1 KN, 1.5 mg·L−1 AC; T10: 1.0 mg·L−1 KN, 1.5 mg·L−1 AC; T11: 1.5 mg·L−1 KN, 1.5 mg·L−1 AC; T12: 2.0 mg·L−1 KN, 1.5 mg·L−1 AC; T13: 2.5 mg·L−1 KN, 1.5 mg·L−1 AC. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The highest shoot response rate of 91.7% was achieved with the treatment of 1.5 mg·L−1 BAP + 10 mg·L−1 ADS, significantly surpassing the control and other treatments (Fig. 5b) (p < 0.001). This was followed by the combinations of 1.5 mg·L−1 BAP + 20 mg·L−1 ADS and 1.0 mg·L−1 BAP + 10 mg·L−1 ADS, both of which also showed significant differences compared to the control. The remaining treatments showed no significant differences in shoot formation. The 1.5 mg·L−1 BAP + 10 mg·L−1 ADS treatment recorded the shortest duration for shoot formation, at 7 d. This duration was significantly shorter compared to the control but not significantly different from other treatments (Fig. 5c) (p < 0.001). The highest average number of shoots per explant was 16.20 with the 1.5 mg·L−1 BAP + 10 mg·L−1 ADS treatment, which was significantly higher than all other treatments except the control (Fig. 5d) (p < 0.001). The second-highest average number of shoots per explant (15.5) was observed with 1.5 mg·L−1 BAP + 20 mg·L−1 ADS. The maximum average shoot length of 8.62 cm was achieved with the 1.5 mg·L−1 BAP + 10 mg·L−1 ADS treatment, which was significantly longer than all treatments except the control (Fig. 5e) (p < 0.001). The second-highest average shoot length of 8.44 cm was recorded with 1.5 mg·L−1 BAP + 20 mg·L−1 ADS. The base of the shoots showed no callus, and the leaves showed no signs of hyperhydricity (Supplementary Figs S2S4).

      Figure 5. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in non-dormant corm explant of Gloriosa superba L. (a) Mean non-dormant corm explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T14: 0.5 mg·L−1 BAP, 10 mg·L−1 ADS; T15: 1.0 mg·L−1 BAP, 10 mg·L−1 ADS; T16: 1.5 mg·L−1 BAP, 10 mg·L−1 ADS; T17: 0.5 mg·L−1 BAP, 20 mg·L−1 ADS; T18: 1.0 mg·L−1 BAP, 20 mg·L−1 ADS; T19: 1.5 mg·L−1 BAP, 20 mg·L−1 ADS. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The highest shoot response rate of 79.4% was achieved with a combination of 1.5 mg·L−1 KN + 20 mg·L−1 ADS, followed by 1.5 mg·L−1 KN + 10 mg·L−1 ADS, 1.0 mg·L−1 KN + 10 mg·L−1 ADS, and 1.0 mg·L−1 KN + 20 mg·L−1 ADS (Fig. 6b). No significant differences in shoot formation were observed among these treatments, except for the control (Fig. 6a) (p < 0.001). The shortest shoot formation time of 9 d was recorded for the 1.5 mg·L−1 KN + 10 mg·L−1 ADS treatment, which was not significantly different from other treatments except the control (Fig. 6c) (p < 0.001). The highest average number of shoots per explant, 8.25, was also observed with 1.5 mg·L−1 KN + 10 mg·L−1 ADS, with no significant difference from other treatments except the control (Fig. 6d) (p < 0.001). The second-highest average number of shoots per explant, 7.75, was recorded with 1.5 mg·L−1 BAP + 20 mg·L−1 ADS. The highest average shoot length of 6.96 cm was achieved with 1.5 mg·L−1 BAP + 10 mg·L−1 ADS, which did not differ significantly from other treatments except the control (Fig. 6e) (p < 0.001). The second-highest average shoot length of 6.78 cm was observed with 1.5 mg·L−1 BAP + 20 mg·L−1 ADS. The base of the shoots showed no callus, and the leaves showed no signs of hyperhydricity (Supplementary Figs S2S4).

      Figure 6. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in non-dormant corm explant of Gloriosa superba L. (a) Mean non-dormant corm explants forming shoots, (b) response rate to shooting treatment, and (c) mean days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T20: 0.5 mg·L−1 KN, 10 mg·L−1 ADS; T21: 1.0 mg·L−1 KN, 10 mg·L−1 ADS; T22: 1.5 mg·L−1 KN, 10 mg·L−1 ADS; T23: 0.5 mg·L−1 KN, 20 mg·L−1 ADS; T24: 1.0 mg·L−1 KN, 20 mg·L−1 ADS; T25: 1.5 mg·L−1 KN, 20 mg·L−1 ADS. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The highest shoot response rate of 47.22% was observed when Murashige and Skoog (MS) media were supplemented with 1.5 mg·L−1 BAP and 5 mg·L−1 ADS. This response rate did not significantly differ from other treatments, including the control (Fig. 7a & b) (p > 0.066). The treatments of 0.5 mg·L−1 BAP + 5 mg·L−1 ADS and 1.0 mg·L−1 BAP + 5 mg·L−1 ADS achieved the shortest average time to shoot morphogenesis, 11 days. Response to these treatments was significantly faster compared to all other treatments except the control (Fig. 7c) (p < 0.001). For the average number of shoots per explant, the treatment with 1.5 mg·L−1 BAP + 5 mg·L−1 ADS yielded the highest average of 2.75 shoots per explant. However, this did not differ significantly from other treatments, including the control (Fig. 7d) (p > 0.197). The longest average shoot length of 3.51 cm was recorded with 1.5 mg·L−1 BAP + 5 mg·L−1 ADS, although this length did not significantly differ from all other treatments except the control (Fig. 7e) (p < 0.001). Adventitious shoots were observed within four weeks of culture, but no root formation was noted. Furthermore, no callus formation was observed at the base of the shoots, and the leaves exhibited no signs of hyperhydricity (Supplementary Fig. S5).

      Figure 7. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in shoot tip explant of Gloriosa superba L. (a) Mean shoot tip explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T2: 0.5 mg·L−1 BAP, 5 mg·L−1 ADS; T3: 1.0 mg·L−1 BAP, 5 mg·L−1 ADS; T4: 1.5 mg·L−1 BAP, 5 mg·L−1 ADS; T5: 2.0 mg·L−1 BAP, 5 mg·L−1 ADS; T6: 2.5 mg·L−1 BAP, 5 mg·L−1 ADS. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The treatment groups showed significant differences in in vitro shoot formation (p < 0.001). The highest shoot response rate of 86.1% was achieved with MS media supplemented with 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, and 8 mg L−1 ADS. This treatment showed no significant difference from other treatments except the control (Fig. 8a & b) (p < 0.001). The shortest average duration for shoot morphogenesis, 6 days, was also recorded with the same combination of 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, and 8 mg·L−1 ADS, which was significantly faster than both the control and T7 treatments (Fig. 8c) (p < 0.001). Regarding the average number of shoots per explant, the highest number (6.75) was achieved with 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, and 8 mg·L−1 ADS. This result was significantly different from the control treatment but not from other treatments (Fig. 8d) (p < 0.01). The longest average shoot length of 7.16 cm was also observed with this treatment, again differing significantly from the control but not from other treatments (Fig. 8e) (p < 0.001). Adventitious shoots emerged within four weeks of culture but without root formation. No callus was observed at the base of the shoots, and there was no incidence of leaf hyperhydricity (Supplementary Fig. S5).

      Figure 8. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in shoot tip explant of Gloriosa superba L. (a) Mean shoot tip explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T7: 0.5 mg·L−1 BAP, 0.1 mg·L−1 TDZ, 8 mg·L−1 ADS; T8: 0.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, 8 mg·L−1 ADS; T9: 1.0 mg·L−1 BAP, 0.2 mg·L−1 TDZ, 8 mg·L−1 ADS; T10: 1.0 mg·L−1 BAP, 0.5 mg·L−1 TDZ, 8 mg·L−1 ADS; T11: 1.5 mg·L−1 BAP, 0.2 mg·L−1 TDZ, 8 mg·L−1 ADS; T12: 1.5 mg·L−1 BAP, 0.5 mg·L−1 TDZ, 8 mg·L−1 ADS. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The highest shoot response rate, reaching 58.33%, was observed when the Murashige and Skoog (MS) medium was supplemented with 1.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ, and 10 mg·L−1 ADS. This response rate was significantly greater than that of the control (Fig. 9a & b) (p < 0.001). Additionally, the shortest average time for shoot morphogenesis, 12 d, was recorded under the same treatment conditions (1.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ, 10 mg·L−1 ADS), which was significantly faster compared to the control (Fig. 9c) (p < 0.001). Regarding the average number of shoots per explant, the treatment of 2.0 mg·L−1 BAP, 1.0 mg·L−1 TDZ, and 10 mg·L−1 ADS resulted in the highest average number of shoots (3.75). This result was significantly higher than that of the control, though not significantly different from other treatments (Fig. 9d) (p < 0.01). The longest shoots (7.16 cm) were achieved with 1.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ, and 10 mg·L−1 ADS for average shoot length. This length was significantly greater than that of the control but not significantly different from other treatments (Fig. 9e) (p < 0.001). Adventitious shoots were observed within four weeks of culture; however, root formation was not noted. No callus formation occurred at the base of the shoots, and the leaves exhibited no signs of hyperhydricity (Supplementary Fig. S5).

      Figure 9. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in shoot tip explant of Gloriosa superba L. (a) Mean shoot tip explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, and (e) mean shoot length. Treatments were T1: Control (media without PGRs); T13: 1.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ, 10 mg·L−1 ADS; T14: 2.0 mg·L−1 BAP, 0.5 mg·L−1 TDZ, 10 mg·L−1 ADS; T15: 2.0 mg·L−1 BAP, 1.0 mg·L−1 TDZ, 10 mg·L−1 ADS; T16: 2.5 mg·L−1 BAP, 0.5 mg·L−1 TDZ, 10 mg·L−1 ADS; T17: 2.5 mg·L−1 BAP, 1.0 mg·L−1 TDZ, 10 mg·L−1 ADS. Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The treatment with 1.5 mg·L−1 BAP demonstrated the highest rate of shoot morphogenesis, achieving a response rate of 41.7%. This rate was statistically comparable to all other treatments except the control (Fig. 10a & b) (p < 0.01). Additionally, 1.5 mg·L−1 BAP resulted in the fastest average shoot formation time of 14.5 d, which was significantly shorter than that observed with 0.5 mg·L−1 BAP (T1) and the control (Fig. 10c) (p < 0.001). The treatment also produced the highest average number of shoots per explant (3.25), with results not significantly different from other treatments except the control (Fig. 10d) (p < 0.001). For shoot length, the treatment with 2.0 mg·L−1 BAP yielded the longest average shoot length of 6.57 cm, significantly surpassing that of 0.5 mg·L−1 BAP (T1) and the control (Fig. 10e) (p < 0.001). In terms of shoot biomass, 1.5 mg·L−1 BAP also led to the highest average fresh weight (184 mg) and dry weight (28.0 mg). These results were significantly greater than those of the control and all other treatments, except for 1.0 mg·L−1 BAP (T2), which produced the second-highest fresh weight (171 mg) and dry weight (25.8 mg) (Fig. 10f & g) (p < 0.001). The base of the shoots showed no callus formation and the leaves showed no signs of hyperhydricity (Supplementary Fig. S6).

      Figure 10. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in apical shoot explant of Gloriosa superba L. (a) Mean apical shoot bud explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments were T1: 0.5 mg·L−1 BAP; T2: 1.0 mg·L−1 BAP; T3: 1.5 mg·L−1 BAP; T4: 2.0 mg·L−1 BAP; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The treatment with 2.0 mg·L−1 BAP + 0.6 mg·L−1 NAA yielded the highest shoot morphogenesis response rate at 85.4%, which was statistically indistinguishable from other treatments except for the control (Fig. 11a & b) (p < 0.001). The fastest average shoot formation time of 8.25 days was achieved with 1.5 mg·L−1 BAP + 0.4 mg·L−1 NAA, significantly different from the control and the 0.5 mg·L−1 BAP + 0.1 mg·L−1 NAA treatment (Fig. 11c) (p < 0.001). The highest average number of shoots per explant, at 4.5, was also observed with 1.5 mg·L−1 BAP + 0.4 mg·L−1 NAA, with no significant difference from other treatments except the control (Fig. 11d) (p < 0.001). The longest average shoot length of 6.54 cm was recorded with 1.0 mg·L−1 BAP + 0.2 mg·L−1 NAA, which was comparable to other treatments, excluding the control (Fig. 11e) (p < 0.001). In terms of shoot biomass, the 2.0 mg·L−1 BAP + 0.6 mg·L−1 NAA treatment achieved the highest average fresh weight (220 mg) and average dry weight (33.4 mg), significantly outperforming all other treatments except for 1.5 mg·L−1 BAP + 0.4 mg·L−1 NAA, which had the second-highest results (219 mg fresh weight and 28.9 mg dry weight) (Fig. 11f & g) (p < 0.001). The base of the shoots showed no callus formation, and the leaves showed no signs of hyperhydricity (Supplementary Fig. S6).

      Figure 11. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in apical shoot explant of Gloriosa superba L. (a) Mean apical shoot bud explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments were T5: 0.5 mg·L−1 BAP, 0.1 mg·L−1 NAA; T6: 1.0 mg·L−1 BAP, 0.2 mg·L−1 NAA; T7: 1.5 mg·L−1 BAP, 0.4 mg·L−1 NAA; T8: 2.0 mg·L−1 BAP, 0.6 mg·L−1 NAA; T9: 2.5 mg·L−1 BAP, 0.8 mg·L−1 NAA; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The treatment with 1.5 mg·L−1 KN yielded the highest shoot morphogenesis response rate of 27.08%, a result that was not significantly different from other treatments, including the control (Fig. 12a & b) (p > 0.276). This treatment also achieved the shortest average shoot formation time of 20.80 days, which was significantly faster compared to all treatments except T11 (1.0 mg·L−1 KN) (Fig. 12c) (p < 0.001). The highest average number of shoots per explant, 3.5, was recorded with 1.5 mg·L−1 KN, showing no significant difference from other treatments, including the control (Fig. 12d) (p > 0.0939). The treatment of 1.0 mg·L−1 KN resulted in the longest average shoot length of 3.68 cm, which was significantly different from the control but not from other treatments (Fig. 12e) (p < 0.01). In terms of shoot biomass, 1.5 mg·L−1 KN produced the highest average fresh weight (150 mg) and average dry weight (18.4 mg). These weights were significantly different from those of other treatments, except for dry weight, where the difference was not significant compared to all treatments except the control (Fig. 12f & g) (p < 0.001). The base of the shoots showed no callus formation, and the leaves showed no signs of hyperhydricity (Supplementary Fig. S6).

      Figure 12. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in apical shoot explant of Gloriosa superba L. (a) Mean apical shoot bud explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments were T10: 0.5 mg·L−1 KN; T11: 1.0 mg·L−1 KN; T12: 1.5 mg·L−1 KN; T13: 2.0 mg·L−1 KN; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • Treatment with 1.5 mg·L−1 BAP yielded the highest shoot response rate at 43.8%, which was significantly greater than the control (p < 0.01), although not significantly different from other treatments (Fig. 13a & b). This concentration also resulted in the shortest average shoot induction time of 15 d, which was significantly shorter compared to the control (p < 0.001) but not significantly different from other treatments (Fig. 13c). The number of shoots per explant showed no significant differences among treatments, except for the control (p < 0.001). The treatment with 1.5 mg·L−1 BAP produced the highest average number of shoots per explant (3.75), followed by T4 with 3.25 shoots per explant (Fig. 13d). Similarly, shoot length did not significantly vary among treatments other than the control (p < 0.001). The longest average shoot length was observed with 1.5 mg·L−1 BAP (4.93 cm), followed by T2 (4.56 cm), T4 (4.22 cm), and T1 (4.09 cm) (Fig. 13e). Regarding shoot biomass, the 1.5 mg·L−1 BAP treatment resulted in the highest average fresh weight (192 mg) and dry weight (30.3 mg) of shoots. This treatment significantly differed from all others in fresh weight, and while the difference in dry weight was significant for all treatments, it was not significant when compared to T2 (1.0 mg·L−1 BAP) (Fig. 13f & g) (p < 0.001). Adventitious shoots were observed within four weeks of culture, although no root formation occurred. Additionally, no callus formation was noted at the base of shoots, and leaves did not exhibit hyperhydricity (Supplementary Fig. S7).

      Figure 13. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in meristem explant of Gloriosa superba L. (a) Mean meristem explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments were T1: 0.5 mg·L−1 BAP; T2: 1.0 mg·L−1 BAP; T3: 1.5 mg·L−1 BAP; T4: 2.0 mg·L−1 BAP; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • Treatment with 2.0 mg·L−1 BAP + 0.6 mg·L−1 NAA yielded the highest shoot response rate at 89.58%. This result was significantly greater compared to all other treatments except for T5 and the control (p < 0.001) (Fig. 14a & b). Additionally, this treatment resulted in the shortest average shoot induction time of 7 d, significantly differing from all treatments except the control (p < 0.001) (Fig. 14c). The highest average number of shoots per explant was also observed with 2.0 mg·L−1 BAP + 0.6 mg L−1 NAA, averaging 5.75 shoots per explant, followed by T7 with 5.25 shoots per explant (Fig. 14d). Most treatments showed no significant differences in the average number of shoots per explant, except for T5 (3), T9 (3), and the control (p < 0.001). Regarding shoot length, the treatment of 2.0 mg·L−1 BAP + 0.6 mg·L−1 NAA produced the longest average shoot length of 6.31 cm, surpassing T7 (5.82 cm), T6 (5.63 cm), and T9 (5.29 cm) (Fig. 14e). Shoot length did not significantly vary among treatments except for the control, where the differences were statistically significant (p < 0.001). For shoot biomass, 2.0 mg·L−1 BAP + 0.6 mg·L−1 NAA resulted in the highest average fresh weight (233 mg) and average dry weight (34.3 mg) of shoots. The fresh weight was significantly different from all other treatments, while the dry weight was significantly different from all treatments, including the control, except for T7 (1.5 mg·L−1 BAP + 0.4 mg·L−1 NAA) (p < 0.001) (Fig. 14f & g). Adventitious shoots were noted within four weeks of culture, although no root formation occurred. The base of the shoots showed no callus, and the leaves showed no signs of hyperhydricity (Supplementary Fig. S7).

      Figure 14. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in meristem explant of Gloriosa superba L. (a) Mean meristem explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments are T5: 0.5 mg·L−1 BAP, 0.1 mg·L−1 NAA; T6: 1.0 mg·L−1 BAP, 0.2 mg·L−1 NAA; T7: 1.5 mg·L−1 BAP, 0.4 mg·L−1 NAA; T8: 2.0 mg·L−1 BAP, 0.6 mg·L−1 NAA; T9: 2.5 mg·L−1 BAP, 0.8 mg·L−1 NAA; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • The treatment with 1.5 mg·L−1 KN achieved the highest shoot response rate at 29.16%, which was not significantly different from other treatments, including the control (p > 0.191) (Fig. 15a & b). This treatment also resulted in the shortest average shoot induction time of 19.8 days, significantly differing from all other treatments except for T10 (20.5 d) (p < 0.001) (Fig. 15c). The average number of shoots per explant did not show significant variation among the treatments (p > 0.807). However, the highest average number of shoots per explant (1.75) was observed with 1.5 mg·L−1 KN, followed by T13 and T10, both with 1.50 shoots per explant (Fig. 15d). Shoot length did not significantly vary among most treatments, except for the control (p < 0.001). The treatment with 1.5 mg·L−1 KN produced the longest average shoot length at 3.66 cm, followed by T11 (3.49 cm), T13 (3.19 cm), and T10 (2.92 cm) (Fig. 15e). In terms of shoot biomass, the 1.5 mg L-1 KN treatment resulted in shoots with the highest average fresh weight (153 mg) and dry weight (19.8 mg). This treatment significantly differed from all others in fresh weight, and in dry weight, it was significantly different from all treatments, including the control, except for T11 (1.0 mg·L−1 KN) and T13 (2.0 mg·L−1 KN) (Fig. 15f & g) (p < 0.001). Adventitious shoots were observed within four weeks of culture, although no rooting was noted. Additionally, no callus was observed at the base of the shoots, and the leaves did not exhibit hyperhydricity (Supplementary Fig. S7).

      Figure 15. 

      Effect of PGRs on in vitro morphogenetic response (shoot multiplication) in meristem explant of Gloriosa superba L. (a) Mean meristem explants forming shoots, (b) response rate to shooting treatment, and (c) days required for shoot induction, (d) mean of new shoots per explant, (e) mean shoot length, (f) mean fresh weight of shoots, and (g) mean dry weight of shoots. Treatments were T10: 0.5 mg·L−1 KN; T11: 1.0 mg·L−1 KN; T12: 1.5 mg·L−1 KN; T13: 2.0 mg·L−1 KN; T14: Control (media without PGRs). Bars indicate mean ± SE. Different letters indicate significant differences by Tukey's test at p ≤ 0.05.

    • In all rooting experiments, roots were observed in all randomly selected shoots from various explants (Supplementary Fig. S12). The response of root formation varied depending on the type and concentration of auxin incorporated into the medium (Supplementary Fig. S8b). The highest rooting response rate (81.3%) was recorded at 1.0 mg·L−1 IBA, significantly differing from the control treatment, followed by 1.0 mg·L−1 IAA (72.9%), 1.5 mg·L−1 IBA (68.8%), and 1.0 mg·L−1 NAA (66.7%) (Supplementary Fig. S8a) (p < 0.001).

      Treatment with 1.0 mg·L−1 IBA exhibited the shortest average root induction time (8 days), significantly differing from T7, T8, T9, T10, and the control (Supplementary Fig. S8c) (p < 0.001). The most extended average root length (4.64 cm) was achieved with 1.0 mg·L−1 IBA, followed by T5 (3.98 cm) and T1 (3.49 cm), which did not differ significantly from the other treatments except T4, T6, T7, T9 and the control (Supplementary Fig. S8d) (p < 0.001). Regardless of the explant source of the in vitro micro shoots, it was observed that 1.0 mg·L−1 IBA consistently yielded the best results (Supplementary Fig. S9b).

    • The plantlets were successfully transferred ex vitro onto a substrate of sterilized vermiculite soil in a 1:1 (v/v) ratio. They were grown in a culture room for 14 d, followed by an additional 14 d under shade in a net house. During this period, the acclimatization rate reached 100%. However, by the fourth week, the survival rate dropped to 95% (Supplementary Fig. S10a). Subsequently, the plantlets were transferred to a substrate consisting of garden soil mixed with sand and vermiculite in a 2:1:1 (v/v) ratio. Over the next ten weeks, while exposed to direct sunlight, the survival rate further decreased to 60% (Supplementary Fig. S10a) meanwhile all surviving plants exhibited average plant height (146 cm), number of leaves per plant (12.9), flowering (3.14), and micro-tuber production (2.76), indicating significant differences (p < 0.001) (Supplementary Fig. S10bS10e & S11aS11h).

    • The findings of this study on Gloriosa superba L. highlight the impact of the type, concentration, and combinations of plant growth regulators on various explant types, as well as their unique responses to in vitro culture conditions. All examined explants—apical shoot, meristem, nodal segment, non-dormant corm, and shoot tip—demonstrated responses to the tissue culture conditions employed. This study reaffirmed the well-established correlation between the auxin-to-cytokinin ratio in the medium and its impact on shoot morphogenesis, demonstrating that a higher cytokinin-to-auxin ratio favors shoot morphogenesis[26,32]. Furthermore, measuring shoot growth proved to be a critical metric for evaluating explant responsiveness. This provided valuable insights into the growth-promoting effects induced by specific media modifications, including the application of plant growth regulators (PGRs).

    • 6-Benzylaminopurine (BAP) is a first-generation cytokinin and a broad-spectrum plant growth regulator that plays a critical role in influencing plant growth and development. BAP promotes cell division, inhibits chlorophyll degradation, enhances amino acid content, and delays leaf senescence. Additionally, BAP can be used to artificially modify morphogenesis, improve resistance to environmental stressors, enhance photosynthetic efficiency, and regulate flowering, fruit, and seed production[33]. On the other hand, Thidiazuron (TDZ; N-phenyl-1,2,3-thiadiazole-5-yl urea) is a potent plant growth regulator widely used in tissue culture and micropropagation. When added to media such as Murashige and Skoog medium, TDZ can significantly promote or accelerate plant organogenesis, particularly shoot regeneration and overall plant regeneration. Originally developed as a defoliant, TDZ is a phenylurea compound with cytokinin-like activity. Notably, TDZ exhibits the unique capability to mimic both auxin and cytokinin effects on the growth and differentiation of cultured explants, despite being structurally distinct from both auxins and purine-based cytokinins by possessing two functional groups, phenyl, and thiadiazole[34].

      Micropropagation through nodal explant culture is widely recognized as an efficient method for rapid clonal propagation, minimizing harm to the parent plant[31]. In this study, nodal explants were cultured on MS media supplemented with two distinct plant growth regulator treatments: one with varying concentrations of BAP alone and the other with a combination of BAP and TDZ. The nodal explants exhibited a favorable response to shoot morphogenesis, particularly with 1.5 mg·L−1 BAP. This concentration was identified as optimal for both shoot proliferation and elongation, though it initiated shoot morphogenesis at a slightly slower rate compared to lower concentrations, such as 0.5 and 1.0 mg·L−1 BAP (Fig. 1). The superior performance of 1.5 mg·L−1 BAP in promoting shoot development suggests it is the most effective concentration for this genotype, balancing both the quantity and quality of shoot formation. These findings establish 1.5 mg·L−1 BAP as the optimal concentration for inducing shoot morphogenesis in the nodal explants of Gloriosa superba L.

      Combining 1.5 mg·L−1 BAP with 0.2 mg·L−1 TDZ significantly enhanced the response of nodal explants to treatment (Fig. 2). This specific combination yielded the most optimal outcomes, resulting in the highest response rate of nodal explants to shoot induction, the shortest time required for shoot bud formation, and the most pronounced effects on shoot elongation and proliferation. These findings underscore the importance of the interaction between plant growth regulators and their concentrations in influencing shoot induction. The results indicate that the combination of BAP and TDZ is more effective at promoting shoot induction than BAP alone. This observation is consistent with previous research, which reported a synergistic effect of BAP and TDZ (each at 1.0 mg·L−1) on shoot proliferation in shoot tip explants of Sorghum bicolor (L.) Moench[35]. Moreover, the current study suggests that TDZ accelerates the morphogenic response of nodal explants, though its effectiveness diminishes at concentrations above 0.2 mg·L−1 (Fig. 2).

      A study on Stevia rebaudiana Bertoni observed similar results, identifying 1.25 mg·L−1 BAP as the optimal concentration for shoot induction from root explants and 0.5 mg·L−1 TDZ as the optimal concentration for the same explants. Additionally, when testing the synergistic effects of BAP and TDZ, the study found that a combination of 1.25 mg·L−1 BAP and 0.5 mg·L−1 TDZ yielded the highest shoot induction efficacy at 89.5% ± 0.707%. Deviations from these optimal concentrations, whether higher or lower, resulted in a significant decrease in shoot induction efficacy[36].

      The results of this study reveal that even when using the optimal concentration of 1.5 mg·L−1 BAP (Fig. 1), the addition of higher concentrations of TDZ above 0.2 mg·L−1 led to a marked decrease in the response rate of nodal explants to shoot morphogenesis. Furthermore, BAP concentrations ranging from 2.0 mg·L−1 to 2.5 mg·L−1 exacerbated this decline in shoot morphogenesis (Fig. 2). These findings suggest that increasing TDZ concentration beyond 0.2 mg·L−1 exerts an inhibitory effect on shoot morphogenesis, indicating that TDZ has a limited range within which it synergistically enhances BAP activity.

      This observation aligns with previous studies that reported lower synergistic interactions between TDZ and NAA compared to BAP and NAA[37]. Notably, the impact of varying concentrations of BAP and TDZ extended beyond shoot response frequency, affecting the duration of induction, shoot proliferation, and shoot length in a consistent manner (Fig. 2). These results suggest that the interaction between BAP and TDZ influences all aspects of the organogenic process in nodal explants, highlighting the complex dynamics of their combined effects.

      In this experiment, the effect of TDZ alone on shoot morphogenesis in nodal explants of Gloriosa superba L. was not evaluated. However, TDZ alone is effective for shoot induction in various woody plant species[38]. Studies, for example, have demonstrated that TDZ outperforms BAP in promoting shoot induction in Musa spp. shoot tip explants, highlighting its superior efficacy compared to BAP[39]. Similarly, studies have reported that TDZ outperforms BAP in promoting shoot induction in the nodal segments of Camellia sinensis[37]. These findings suggest that TDZ has a strong potential for enhancing shoot morphogenesis across different plant species.

    • Activated charcoal (AC) is composed of carbon arranged in a quasi-graphitic structure and is characterized by its small particle size, porosity, and tastelessness. The removal of non-carbon impurities and the oxidation of its surface distinguish AC from elementary carbon, creating a network of fine pores with an exceptionally large surface area and volume. This unique structure endows AC with high adsorption capacity, making it a valuable tool in plant tissue culture[40].

      In plant tissue culture, AC is commonly added to both liquid and semi-solid media to enhance cell growth and development. Several factors contribute to its effectiveness: it adsorbs inhibitory substances from the culture medium reduces phenolic oxidation and brown exudate accumulation adjusts the medium's pH to optimal levels for morphogenesis, and creates a darkened environment that mimics soil conditions[41]. Although the impact of AC on plant growth regulator (PGR) uptake remains unclear, some researchers suggest that AC may gradually release adsorbed nutrients and PGRs, as well as substances inherently present in AC that promote plant growth. Additionally, AC aids in the removal of growth-inhibitory chemicals like 5-hydroxymethylfurfural, a product of sucrose dehydration during autoclaving[40].

      Kinetin, or 6-Furfuryl-aminopurine, is a cytokinin growth regulator of plants. When used in plant tissue culture media, it can induce callus formation and tissue regeneration from callus. Kinetin has also been shown to be effective at inducing shoot formation in various plant species. For instance, a prior study that compared various cytokinins including BAP, KN, TDZ, and Zeatin each at a concentration ranging from 0 to 3 mg·L−1 reported that KN was the most effective for inducing shoots from nodal explants of cucumber. The maximum rate of regeneration, shoot proliferation per explant, and longest shoots were obtained on MS medium fortified with 1 mg·L−1 KN[42].

      Adenine, particularly in the form of adenine sulfate (ADS), is commonly used as an additive in plant cell culture. ADS significantly stimulates cell growth and enhances shoot formation[43]. It acts synergistically with other plant growth regulators (PGRs) and either serves as a precursor for cytokinin synthesis or boosts the biosynthesis of natural cytokinins. Additionally, cells more readily assimilate ADS as an alternative nitrogen source compared to inorganic nitrogen sources. ADS's role is particularly notable in the mass multiplication of in vitro regenerants, where it effectively functions as a plant growth regulator. Its beneficial effects are often observed when used in conjunction with cytokinins, such as BAP. Various plant species consistently highlight the stimulatory impact of ADS on shoot multiplication[44].

      In this study, non-dormant corm explants of Gloriosa superba L. were cultured on MS medium supplemented with varying concentrations of BAP or KN, ranging from 0 to 2.5 mg·L−1, in combination with either 1.5 mg·L−1 AC or 10 or 20 mg·L−1 ADS (Table 2). The results indicate that 1.5 mg·L−1 was the optimal concentration for both BAP and KN when used in conjunction with 1.5 mg·L−1 AC (Figs 3 & 4). Notably, BAP demonstrated a higher response rate for shoot induction in non-dormant corm explants compared to KN, suggesting that BAP is more effective than KN in promoting shoot formation in Gloriosa superba L. This finding aligns with previous research showing that BAP is superior to KN for shoot multiplication in Indigofera zollingeriana Miq[45]. However, studies involving cucumber have reported contrasting results, showing that KN was more effective than BAP for shoot induction[42]. These discrepancies highlight that the relative efficacy of BAP and KN can vary significantly across different plant species, emphasizing the need for species-specific optimization of cytokinin applications.

      Significantly enhanced outcomes in response rate, induction duration, shoot proliferation, and shoot elongation were observed when the optimal concentration of either BAP or KN was combined with ADS (Figs 5 & 6). Notably, the combination of ADS with BAP consistently outperformed the combination with KN across all measured parameters, indicating that BAP exhibits superior synergistic effects with ADS compared to KN. This finding aligns with a previous study on Gloriosa superba L. corms, which reported more effective shoot multiplication when cultures were supplemented with BAP and ADS in MS medium compared to those with BAP alone[24].

      In contrast to AC, which primarily functions to maintain pH and mimic soil conditions, ADS significantly enhanced the effects of both BAP and KN. This underscores the pronounced impact of ADS on all measured parameters. Although AC may have had a beneficial effect on shoot morphogenesis, this effect cannot be definitively proven due to the absence of a positive control using BAP alone at an optimal concentration of 1.5 mg·L−1. Thus, while AC's role in improving shoot morphogenesis cannot be ruled out, its effects appear limited relative to the enhanced outcomes achieved with ADS.

    • Shoot tips are the most widely utilized method for micropropagation in commercial production due to their numerous advantages. Compared to alternative micropropagation techniques, shoot cultures offer several distinct benefits: (1) they achieve reliable and consistent multiplication rates after culture stabilization; (2) they exhibit reduced susceptibility to genetic variation, ensuring uniformity across propagated plants; and (3) they facilitate the clonal propagation of periclinal chimeras, preserving desired traits and enhancing production efficiency[46,47]. This study evaluated the efficacy of BAP combined with ADS, as well as BAP combined with TDZ and ADS, for inducing shoot morphogenic responses in shoot tip explants of Gloriosa superba L. This investigation assessed the synergistic effect of each type of combination on shoot regeneration and development.

      For non-dormant corm explants, the combination of 1.5 mg·L−1 BAP with 10 mg L−1 ADS yielded the highest response rate of 91.7%, outperforming all other treatments. In contrast, the shoot tip explants treated with 1.5 mg·L−1 BAP and 5 mg·L−1 ADS exhibited a lower response rate of 47.2%, which fell short of expectations (Figs 5 & 7). These findings support the conclusion that 1.5 mg·L−1 BAP is the optimal concentration for inducing shoot morphogenesis, as it consistently produced the highest response rates across different treatments. The lower response observed with 1.5 mg·L−1 BAP and 5 mg·L−1 ADS suggests that the concentration of ADS was insufficient to fully enhance the effects of BAP. Conversely, the superior response rate with non-dormant corm explants at 10 mg·L−1 ADS implies that this concentration might offer a better synergistic effect with 1.5 mg·L−1 BAP. Therefore, it is plausible that a higher concentration of ADS could also improve the efficacy of BAP in shoot tip explants.

      Although this study did not explore the effect of varying concentrations of ADS beyond 8 mg·L−1, the combination of optimal BAP and TDZ concentrations with 8 mg·L−1 ADS yielded the most effective shoot morphogenesis in shoot tip explants of Gloriosa superba L. (Fig. 8). Notably, this combination also resulted in the shortest shoot induction period of 6 d, the shortest observed among all explant types (Fig. 9c). These findings suggest that 0.2 mg·L−1 TDZ synergistically enhanced the effect of 1.5 mg·L−1 BAP and 8 mg·L−1 ADS, thereby optimizing shoot morphogenesis in shoot tip explants.

      It is possible that increasing the ADS concentration to 10 mg·L−1 might have further improved the results, though this was not tested in the present study. Furthermore, higher concentrations of BAP and TDZ than the optimal levels of 1.5 and 0.2 mg·L−1, respectively, were found to decrease the effectiveness of shoot morphogenesis, even with the optimal ADS concentration of 10 mg·L−1 (Fig. 9). This supports the conclusion that 0.2 mg·L−1 TDZ is the optimal concentration for promoting shoot morphogenesis in Gloriosa superba L., consistent with findings for nodal explants in this study.

      Previous studies have demonstrated that TDZ exhibits a strong synergistic effect with BAP at lower concentrations, resulting in an optimal shoot response from node explants of Quercus rubra L.[48]. In contrast, other research has shown that while lower TDZ concentrations are effective in stimulating axillary shoot proliferation across various woody plants, higher concentrations of TDZ can lead to the formation of both axillary and adventitious shoots in Fraxinus pennsylvanica Marsh.[49]. This discrepancy highlights the varying responses of different species to TDZ concentration, emphasizing the need for species-specific optimization in plant tissue culture protocols.

    • The apical shoot comprises the shoot apical meristem and the young, developing tissues that arise from it. It represents the growing tip of a shoot, where elongation primarily occurs. Shoot apical meristems are crucial for plant development as they generate essential structures such as leaves, stems, axillary meristems, and roots[50]. The efficiency of plant regeneration is highly dependent on the precise regulation of shoot apical meristem growth and density[51]. This regulation is critical not only for normal developmental processes but also as a key adaptive mechanism, enabling plants to respond to environmental changes and recover from injuries.

      Consistent with findings from other explants in this study, both 1.5 mg·L−1 of BAP and 1.5 mg·L−1 of KN were identified as optimal cytokinin concentrations for inducing shoot morphogenesis in apical shoot and meristem explants of Gloriosa superba L. (Supplementary Figs S4, S8S10). Additionally, BAP consistently outperformed KN across all evaluated parameters, reinforcing its superior efficacy in promoting shoot development (Supplementary Figs S4, S8S10).

      Treatment with 2.0 mg L−1 BAP combined with 0.6 mg·L−1 NAA produced the highest shoot response rates for apical shoot and meristem explants, at 85.41% and 89.58%, respectively. Treatments with 1.5 mg·L−1 BAP + 0.4 mg·L−1 NAA and 2.5 mg·L−1 BAP + 0.8 mg·L−1 NAA followed suit (Figs 11 & 14). These results indicate that meristem explants exhibit higher responsiveness compared to apical shoot explants (Supplementary Table S5). In both types of explants, the observed synergy between BAP and NAA appears to have a positive influence on shoot morphogenesis.

      Other studies have reported similar positive synergistic effects. For instance, the combination of 0.2 mg·L−1 BAP with 0.5 mg·L−1 NAA demonstrated beneficial effects on the in vitro propagation of Dioscorea rotundata L.[52]. Furthermore, a study on Naringi crenulata (Roxb.) Nicolson reported that the highest number of shoots (25 ± 0.3) was achieved on MS medium supplemented with 2.0 mg·L−1 BAP and 0.5 mg·L−1 NAA[53]. Another study found that maximum shoot induction (73.33%) and the highest number of shoot buds per explant (5.1) were achieved with 8.88 μM BAP and 2.68 μM NAA in shoot tip explants of Jatropha curcas L.[54].

    • A representative sample of well-developed elongated shoots derived from in vitro regenerated shoots of Gloriosa superba L. obtained from five different explants were randomly selected and transferred to half-strength MS medium supplemented with various concentrations of indole-3-butyric acid (IBA) (0.5−1.5 mg·L−1), indole-3-acetic acid (IAA) (0.5−1.5 mg·L−1), and 1-naphthaleneacetic acid (NAA) (0.5−1.5 mg·L−1) for root induction (Table 5). The results of this study revealed that 1.0 mg·L−1 IBA exhibited a superior root induction rate, minimum time required for root initiation, and average root length, thus representing the optimal concentration for root formation. This indicates that IBA is the most effective auxin for rooting Gloriosa superba L. micro shoots. These findings align with previous research, demonstrating that IBA is highly efficient for root development from the base of in vitro micro shoots[24,55]. Similar results were observed in a study using tuber explants, where 0.5 mg·L−1 IBA yielded favorable outcomes[56,57]. Another study successfully combined IBA with IAA for shoot tip and nodal explant-derived micro shoots[58].

      The acclimatization of plantlets involved their survival assessment after two weeks in a culture room on a substrate composed of sterilised vermiculite-soil at a ratio of 1:1 (v/v), followed by an additional two weeks in a shaded net house on a substrate of garden soil-sand-vermiculite at a ratio of 2:1:1 (v/v). Under the latter condition, the survival rate decreased to 95% after two weeks. Subsequently, the plantlets were transferred from the shaded net house to direct sunlight on the same substrate, resulting in a 60% survival rate after ten weeks. This observation can be attributed to the decrease in vermiculite content and the increase in photosynthetically active radiation (PAR) when the plantlets were shifted from the culture room to vessels containing a mixture of garden soil, sand, and vermiculite in the shaded net house[5961]. Notably, no discernible morphological or growth characteristics differences were observed among the acclimatized plants.

    • This pioneering study introduces a multi-explant in vitro regeneration approach through direct organogenesis, utilizing apical shoot, meristem, nodal segment, non-dormant corm, and shoot tip explants of Gloriosa superba L. (Supplementary Table S5).

      The study determined that 1.5 mg·L−1 BAP was the optimal concentration for shoot induction across all five explant types. In combination treatments, 0.2 mg·L−1 TDZ exhibited the most effective synergistic interaction with 1.5 mg·L−1 BAP, particularly enhancing shoot induction and development in shoot tip and nodal explants. For non-dormant corm explants, 10 mg·L−1 ADS, in combination with 1.5 mg·L−1 BAP, proved to be the most effective for shoot formation and development, with similar benefits observed in shoot tip explants even when 8 mg·L−1 ADS was used.

      BAP, whether used alone or in combination with AC or ADS, consistently outperformed KN, either alone or in combination with AC or ADS, establishing BAP as the preferred cytokinin for direct organogenesis in Gloriosa superba L. Supplementing 2.0 mg·L−1 BAP and 0.6 mg·L−1 NAA in MS media achieved the highest shoot induction response in apical and meristem explants, indicating a strong synergistic effect between BAP and NAA. The findings also demonstrate that an optimal concentration of TDZ significantly accelerates shoot morphogenesis. Additionally, ADS was found to be effective in promoting shoot proliferation and reinforcing the effects of other PGRs in combination treatments.

      Regardless of the explant source, all micro shoots successfully rooted when cultured on half-strength MS medium supplemented with 1.0 mg·L−1 IBA, achieving the highest rooting response rate of 81.25% and an average root length of 4.64 cm. The in vitro-grown plantlets were subsequently acclimatized and transplanted into a garden soil mixture, with a 60% survival rate observed after ten weeks under direct sunlight.

      These findings highlight the vital role of multi-explant in vitro propagation methods in the conservation of endangered plant species like Gloriosa superba L. This approach is strongly recommended for broader plant conservation efforts using plant tissue culture. This method enables a comprehensive and unbiased comparison of various plant growth regulator (PGR) treatments and explant types for direct organogenesis, facilitating the identification of the most effective strategies for in vitro clonal propagation. Furthermore, it tackles the issue of variability both within and across studies, a challenge often encountered when fewer than two explant types are used. In contrast, this study's inclusion of five explant types enhances the reliability and applicability of the results for conservation purposes.

      Future efforts should prioritize adopting a multi-explant, in vitro regeneration approach for plant conservation. Utilizing three or more explant types can provide a more thorough, rigorous, and reliable evaluation, which is crucial for the preservation of endangered plant species through tissue culture techniques. For this purpose, direct organogenesis is particularly advantageous, offering a faster and more streamlined process compared to indirect organogenesis.

      Future research should also focus on elucidating the molecular mechanisms underlying the effects of the various plant growth regulators (PGRs) used in this study. Specifically, investigating the synergistic interactions between PGRs, the mechanism by which thidiazuron (TDZ) accelerates shoot induction, and the enhancing effect of adenine sulfate (ADS) when used in combination treatments will provide deeper insights into optimizing in vitro regeneration protocols.

      • The USDA National Institute of Food and Agriculture has provided support for this study, specifically under the Hatch project 7001563. The corresponding author thanks Chief MOSOH Paul Tandong and Chieftess Ateyim Espe MOSOH Ostensia Nkeng of PINYIN (Santa, North-West Region, Cameroon) for their tremendous support. Dr. Rohit Sharma, the founder of the Centre for Biodiversity Exploration and Conservation (CBEC), provided invaluable assistance at the start of this project. His contributions have significantly influenced the direction of our research. Additionally, we express our sincere appreciation to the reviewer(s) for their diligent review of our work, and for their insightful comments and suggestions, which have significantly enriched the quality of our manuscript.

      • The authors confirm contribution to the paper as follows: conceptualization: Khandel AK; data collection and curation, project management, resources: Mosoh DA, Khandel AK; formal analysis, software, writing – draft manuscript preparation, visualization: Mosoh DA; funding acquisition, validation: Mosoh DA, Khandel AK, Vendrame WA; investigation, supervision: Mosoh DA, Khandel AK, Verma SK, Vendrame WA; methodology: Mosoh DA, Khandel AK, Verma SK; writing – manuscript revise: Mosoh DA, Vendrame WA. All authors reviewed the results and approved the final version of the manuscript.

      • The data that support the findings of this study are available on request from the corresponding author.

      • The authors declare that they have no conflict of interest.

      • Received 29 May 2024; Accepted 12 September 2024; Published online 22 November 2024

      • This study presents the first report on a multi-plant approach for in vitro plant regeneration through direct organogenesis in Gloriosa superba L.

        The study found that a concentration of 1.5 mg·L−1 of BAP was the most effective for inducing shoots across all five types of explants.

        Optimal TDZ concentration was observed to expedite the response to shoot induction.

        In combined treatments, ADS was found to effectively promote shoot proliferation and enhance the effects of other plant growth regulators.

        The highest rate of rooting response in micro shoots was achieved when the rooting media was supplemented with 1.0 mg·L−1 of IBA.

        This multi-explant in vitro propagation approach is recommended for wider conservation efforts using plant tissue culture.

      • Supplementary Table S1 Summary data on prior studies reporting shoot morphogenesis in Gloriosa superba L. via direct organogenesis from selected explant type.
      • Supplementary Table S2 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1].
      • Supplementary Table S3 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1]*.
      • Supplementary Table S4 Study on in vitro production methods of Gloriosa superba L. via indirect organogenesis in various callus-derived explants[1].
      • Supplementary Table S5 Summary table showing explant type, treatment, and shoot initiation rate (%) of this study.
      • Supplementary Fig. S1 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived nodal segments of Gloriosa superba L.
      • Supplementary Fig. S2 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2 % Sucrose + 0.8 % Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
      • Supplementary Fig. S3 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2% Sucrose + 0.8% Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
      • Supplementary Fig. S4 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in ½ MS + 2% Sucrose + 0.8% Agar medium from in vivo derived non-dormant corms of Gloriosa superba L.
      • Supplementary Fig. S5 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) on MS medium containing 1.5 mg·L−1 BAP + 0.2 mg·L−1 TDZ + 8 mg·L−1 ADS from in vitro derived shoot tips of Gloriosa superba L.
      • Supplementary Fig. S6 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived apical shoots of Gloriosa superba L.
      • Supplementary Fig. S7 Effect of plant growth regulators on in vitro morphogenetic response (shoot multiplication) in MS medium from in vivo derived meristems of Gloriosa superba L.
      • Supplementary Fig. S8 Effect of PGRs on in vitro morphogenetic response to rooting of microshoots of Gloriosa superba L.
      • Supplementary Fig. S9 Effects of auxins (IBA, NAA, and IAA) on different trends in vitro rooting micro-shoots derived from apical shoot explants of Gloriosa superba L. on half-strength MS medium after six weeks of culture.
      • Supplementary Fig. S10 Acclimatisation of in vitro regenerated plantlets of Gloriosa superba L.
      • Supplementary Fig. S11 Acclimatisation of in vitro regenerated plantlets of Gloriosa superba L.
      • Supplementary Fig. S12 Effect of different concentrations of PGRs on in vitro rooting of shoots derived from different explants of Gloriosa superba L. on half-strength MS medium after six weeks of culture.
      • Copyright: © 2024 by the author(s). Published by Maximum Academic Press on behalf of Hainan University. This article is an open access article distributed under Creative Commons Attribution License (CC BY 4.0), visit https://creativecommons.org/licenses/by/4.0/.
    Figure (15)  Table (5) References (61)
  • About this article
    Cite this article
    Mosoh DA, Khandel AK, Verma SK, Vendram WA. 2024. Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.). Tropical Plants 3: e039 doi: 10.48130/tp-0024-0038
    Mosoh DA, Khandel AK, Verma SK, Vendram WA. 2024. Multi-explant and multiplex applications of plant growth regulators: A critical analysis of direct organogenesis in Gloriosa superba (L.). Tropical Plants 3: e039 doi: 10.48130/tp-0024-0038

Catalog

  • About this article

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return