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Effect of Azospirillum brasilense in gas exchanges and production of soybean

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  • The present study aimed to verify the photosynthetic responses and yield of soybean cultivars in relation to foliar inoculation with Azospirillum brasilense at different sowing dates. For this, three field experiments were carried out at the Federal University of Tocantins, Palmas campus, Brazil. Consecutive seasons were carried out on three sowing dates, November 15th, 2019, December 2nd, 2019 and December 20th, 2019. The experiment was conducted in a randomized block design with four replicates, in a 2 × 5 factorial scheme, represented by two soybean cultivars (M9144RR and TMG1188RR) and five doses of Azospirillum brasilense (0, 100, 200, 300 and 400 mL), applied via foliar at the stage of growth V5. Stomatal conductance rate (gs), internal CO2 concentration (iC), transpiration rate (E), net photosynthetic rate (A) and grain yield were evaluated. The cultivars showed different responses to sowing dates and to doses of A. brasilense in all evaluated parameters. The cultivar TMG1188RR showed higher yield (3,450 kg·ha−1) and gs (4.89 µmol CO2 m−2·s−1) at the lowest dose applied, while the cultivar M9144RR showed higher yield (3,441 kg·ha−1), gs (3.35 µmol CO2 m−2·s−1) and A (17.32 µmol CO2 m−2·s−1) at highest dose applied. The leaf inoculation with A. brasilense was more responsive in periods in which there were unfavorable environmental conditions for soybean cultivation and can be recommended as complementary management in these conditions.
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  • [1]

    Conab – Companhia Nacional de Abastecimento. Levantamento de Safras. www.conab.gov.br/info-agro/safras/serie-historica-das-safras (Accessed 3 December 2020)

    [2]

    Ortega AC, Silva GJC, Martins HEP. 2014. Recent production transformations agriculture in the Savanna: the analysis of the Triangulo Region Mineiro and Alto Paranaíba. Ensaios FEE 35(2):555−84

    Google Scholar

    [3]

    Marques TV, Mendes K, Mutti P, Medeiros S, Silva L, et al. 2020. Environmental and biophysical controls of evapotranspiration from seasonally dry tropical forests (Caatinga) in the Brazilian Semiarid. Agricultural and Forest Meteorology 287:107957

    doi: 10.1016/j.agrformet.2020.107957

    CrossRef   Google Scholar

    [4]

    Vieira EL, Souza GS, Santos AR, Santos Silva J. 2010. Manual de Fisiologia Vegetal. São Luis: EDUFMA. 230 pp. www.edufma.ufma.br/wp-content/uploads/woocommerce_uploads/2021/04/MANUAL-Fisiologia-vegetal-2021-Vers%C3%A3o-publicada-EDUFMA-Final.pdf

    [5]

    Manavalan LP, Guttikonda SK, Phan Tran LS, Nguyen HT. 2009. Physiological and molecular approaches to improve drought resistance in soybean. Plant and Cell Physiology 50:1260−76

    doi: 10.1093/pcp/pcp082

    CrossRef   Google Scholar

    [6]

    Wang LS, Chen QS, Xin DW, Qi ZM, Zhang C, et al. 2018. Overexpression of GmBIN2, a soybean glycogen synthase kinase 3 gene, enhances tolerance to salt and drought in transgenic Arabidopsis and soybean hairy roots. Journal of Integrative Agriculture 17(9):1959−71

    doi: 10.1016/S2095-3119(17)61863-X

    CrossRef   Google Scholar

    [7]

    Kasim WA, Osman MEH, Omar MN, Salama S. 2021. Enhancement of drought tolerance in Triticum aestivum L. seedlings using Azospirillum brasilense NO40 and Stenotrophomonas maltophilia B11. Bulletin of the National Research Centre 45:95

    doi: 10.1186/s42269-021-00546-6

    CrossRef   Google Scholar

    [8]

    Bulegon LG, Rampim L, Klein J, Kestring D, Guimarães VF, et al. 2016. Components of production and yield of soybean inoculated with Bradyrhizobium and Azospirillum. Terra Latinoam 34(2):169−76

    Google Scholar

    [9]

    Armanhi JSL, de Souza RSC, Biazotti BB, Yassitepe JECT, Arruda P. 2021. Modulating drought stress response of maize by a synthetic bacterial community. Frontiers in Microbiology 12:747541

    doi: 10.3389/fmicb.2021.747541

    CrossRef   Google Scholar

    [10]

    Naoe AML, Peluzio JM, Simão AH. 2018. Tecnologia de coinoculação com Azospirillum brasiliense sobre a eficiência do uso da água em cultivares de soja submetidas a estresse hídrico. Tópicos especiais em biotecnologia e biodiversidade 2:27−38

    Google Scholar

    [11]

    de L Naoe AM, Peluzio JM, Campos LJM, Naoe LK, Silva RAE. 2020. Co-inoculation with Azospirillum brasilense in soybean cultivars subjected to water déficit. Revista Brasileira de Engenharia Agrícola e Ambiental 24(2):89−94

    doi: 10.1590/1807-1929/agriambi.v24n2p89-94

    CrossRef   Google Scholar

    [12]

    Hungria M, Nogueira MA, Araújo RS. 2013. Co-inoculation of soybeans and common beans with Rhizobia and Azospirilla: Strategies to improve sustainability. Biology Fertility of Soils 49:791−801

    doi: 10.1007/s00374-012-0771-5

    CrossRef   Google Scholar

    [13]

    Zuffo AM, Bruzi AT, de Rezende PM, Bianchi MC, Zambiazzi EV, et al. 2016. Morphoagronomic and productive traits of RR® soybean due to inoculation via Azospirillum brasilense groove. African Journal of Microbiology Research 10(13):438−44

    doi: 10.5897/AJMR2015.7682

    CrossRef   Google Scholar

    [14]

    Scott AJ, knott M. 1974. Cluster analysis method for grouping means in the analysis of variance. Biometrics 30(3):505−12

    doi: 10.2307/2529204

    CrossRef   Google Scholar

    [15]

    Ferreira DF. 1998. Sisvar - sistema de análise de variância para dados balanceados. Lavras: UFLA. 19 pp. https://des.ufla.br/~danielff/meusarquivospdf/art63.pdf

    [16]

    Hungria M. 2011. Inoculação com Azospirillum brasilense: inovação em rendimento a baixo custo. Embrapa Soja, Documento 325. https://ainfo.cnptia.embrapa.br/digital/bitstream/item/29676/1/Inoculacao-com-azospirillum.pdf

    [17]

    Matsumura EE, Secco VA, Moreira RS, dos Santos OJAP, Hungria M, et al. 2015. Composition and activity of endophytic bacterial communities in field-grown maize plants inoculated with Azospirillum brasilense. Annals of Microbiology 65:2187−200

    doi: 10.1007/s13213-015-1059-4

    CrossRef   Google Scholar

    [18]

    Marques DM, Magalhães PC, Marriel IE, Gomes CC Jr, da Silva AB, et al. 2021. Gas exchange, root morphology and nutrients in maize plants inoculated with Azospirillum brasilense cultivated under two water conditions. Brazilian Archives of Biology and Technology 64:e21190580

    doi: 10.1590/1678-4324-2021190580

    CrossRef   Google Scholar

    [19]

    Tonelli ML, Magallanes-Noguera C, Fabra A. 2017. Symbiotic performance and induction of systemic resistance against Cercospora sojina in soybean plants co-inoculated with Bacillus sp. CHEP5 and Bradyrhizobium japonicum E109. Archives of Microbiology 199:1283−291

    doi: 10.1007/s00203-017-1401-2

    CrossRef   Google Scholar

    [20]

    Lawson T, Blatt MR. 2014. Stomatal size, speed, and responsiveness impact on photosynthesis and water use efficiency. Plant Physiology 164(4):1556−70

    doi: 10.1104/pp.114.237107

    CrossRef   Google Scholar

    [21]

    Cohen AC, Bottini R, Pontin M, Berli FJ, Moreno D, et al. 2015. Azospirillum brasilense ameliorates the response of Arabidopsis thaliana to drought mainly via enhancement of ABA levels. Physiologia Plantarum Journal 153:79−90

    doi: 10.1111/ppl.12221

    CrossRef   Google Scholar

    [22]

    Wei Z, Abdelhakim LOA, Fang l, Peng X, Liu J, et al. 2022. Elevated CO2 effect on the response of stomatal control and water use efficiency in amaranth and maize plants to progressive drought stress. Agricultural Water Management 266:107609

    doi: 10.1016/j.agwat.2022.107609

    CrossRef   Google Scholar

    [23]

    Flexas J, Barón M, Bota J, Ducruet JM, Gallé A, Galmés J, et al. 2009. Photosynthesis limitations during water stress acclimation and recovery in the drought-adapted Vitis hybrid Richter-110 (V. Berlandieri × V. rupestris). Journal of Experimental Botany 60(8):2361−77

    doi: 10.1093/jxb/erp069

    CrossRef   Google Scholar

    [24]

    da Costa GF, Marenco RA. 2007. Photosynthesis, stomatal conductance and leaf water potential in crabwood (Carapa guianensis). Acta Amazonica 37(2):229−34

    doi: 10.1590/S0044-59672007000200008

    CrossRef   Google Scholar

    [25]

    Cohen AC, Travaglia CN, Bottini R, Piccoli PN. 2009. Participation of abscisic acid and gibberellins produced by endophytic Azospirillum in the alleviation of drought effects in maize. Botany 87(5):455−62

    doi: 10.1139/B09-023

    CrossRef   Google Scholar

    [26]

    Neto FJD, Yoshimi FK, Doratiotto RG, Miyamamoto YR, Domingues MCS. 2013. Desenvolvimento e produtividade do milho verde safrinha em resposta à aplicação foliar com Azospirillum brasilense. Enciclopédia Biosfera 9(17):1030−40 www.conhecer.org.br/enciclop/2013b/CIENCIAS%20AGRARIAS/desenvolvimento%20e%20produtividade.pdf

    [27]

    Zuffo AM, Bruzi AT, de Rezende PM, de Carvalho MLM, Zambiazzi EV, et al. 2016. Foliar application of Azospirillum brasilense in soybean and seed physiological quality. African Journal of Microbiology Research 10(20):675−80

    doi: 10.5897/AJMR2016.7911

    CrossRef   Google Scholar

  • Cite this article

    Reina E, Peluzio JM, Naoe AMdL, Monteiro FJF. 2024. Effect of Azospirillum brasilense in gas exchanges and production of soybean. Technology in Agronomy 4: e006 doi: 10.48130/tia-0024-0003
    Reina E, Peluzio JM, Naoe AMdL, Monteiro FJF. 2024. Effect of Azospirillum brasilense in gas exchanges and production of soybean. Technology in Agronomy 4: e006 doi: 10.48130/tia-0024-0003

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ARTICLE   Open Access    

Effect of Azospirillum brasilense in gas exchanges and production of soybean

Technology in Agronomy  4 Article number: e006  (2024)  |  Cite this article

Abstract: The present study aimed to verify the photosynthetic responses and yield of soybean cultivars in relation to foliar inoculation with Azospirillum brasilense at different sowing dates. For this, three field experiments were carried out at the Federal University of Tocantins, Palmas campus, Brazil. Consecutive seasons were carried out on three sowing dates, November 15th, 2019, December 2nd, 2019 and December 20th, 2019. The experiment was conducted in a randomized block design with four replicates, in a 2 × 5 factorial scheme, represented by two soybean cultivars (M9144RR and TMG1188RR) and five doses of Azospirillum brasilense (0, 100, 200, 300 and 400 mL), applied via foliar at the stage of growth V5. Stomatal conductance rate (gs), internal CO2 concentration (iC), transpiration rate (E), net photosynthetic rate (A) and grain yield were evaluated. The cultivars showed different responses to sowing dates and to doses of A. brasilense in all evaluated parameters. The cultivar TMG1188RR showed higher yield (3,450 kg·ha−1) and gs (4.89 µmol CO2 m−2·s−1) at the lowest dose applied, while the cultivar M9144RR showed higher yield (3,441 kg·ha−1), gs (3.35 µmol CO2 m−2·s−1) and A (17.32 µmol CO2 m−2·s−1) at highest dose applied. The leaf inoculation with A. brasilense was more responsive in periods in which there were unfavorable environmental conditions for soybean cultivation and can be recommended as complementary management in these conditions.

    • Soybean (Glycine max (L.) Merrill) is the most cultivated grain in the State of Tocantins, being the largest producer in the North region of Brazil[1]. The climate in the region is favorable for planting during the rainy season, however, dry periods have been observed frequently, affecting soybean development through changes in physiological parameters, resulting from unfavorable weather conditions[2].

      Water deficiency is responsible for causing changes from molecular to morphophysiological levels, limiting plant growth and development[3]. One of the first physiological signs in response to increased temperature and reduced soil moisture is related to stomatal conductance, where a series of coordinated responses occur, preventing and/or hindering gas exchange[4]. Thus, there is a change in the photosynthetic apparatus with effects on carbon assimilation, nitrogen fixation and water use efficiency[5].

      Studies conducted by Wang et al.[6] with soybean under water deficit conditions indicated a reduction in photosynthetic activity due to stomatal closure, causing a drop in productivity. Therefore, ensuring that, even under stress conditions, the plant manages to reduce cell damage, avoiding drastic losses in productivity, is a challenge.

      Some strategies, such as the use of plant growth-promoting bacteria, have shown promising results. Kasim et al.[7] observed a reduction in the effects of severe water stress on the relative water content of wheat plants inoculated with A. brasilense. In addition, the authors also found a decrease in reactive oxygen species and a reduction in the inhibitory effects of drought on chlorophylls a and b. Bulegon et al.[8] also observed positive effects in the removal of reactive oxygen species and in the protection of chlorophyll a in Urochloa ruziziensis plants inoculated with A. brasilense.

      Studies conducted by Armanhi et al.[9] verified that the inoculation of corn plants with colonizing microorganisms optimized water use in plants under water stress, in addition to reducing leaf temperature. Naoe et al.[10] also found an increase in water use efficiency in soybean under water deficit and inoculated with A. brasilense.

      Thus, inoculation with A. brasilense seems to bring benefits to crops under unfavorable environmental conditions[8, 11]. In addition, in soybeans, its use associated with Bradirhyzobium japonicum is indicated as a management technique that increases crop productivity[12] and contributes to improving morphological characteristics of plants[13]. Another important point in studies with A. brasilense is in relation to the best dose and forms of application, as there is still no consensus in the literature, since the beneficial effects attributed to plants are multifactorial and difficult to understand.

      Therefore, considering the frequent extreme drought and temperature events, especially in the State of Tocantins, it is necessary to seek alternatives that reduce losses in the productivity of crops. Therefore, the present study aimed to evaluate the alterations resulting from the foliar application of Azospirillum brasilense in the physiological parameters and in the productivity of two soybean cultivars in the Savanna Tocantinense, cultivated in three sowing dates and five different doses of inoculant.

    • The study was conducted at the experimental fields of the Federal University of Tocantins, municipality of Palmas, TO, Brazil (10°10' S and 48°21' W, at 216 m of altitude), from November 2019 to March 2020. Consecutive seasons were carried out on three sowing sessions, November 15th, 2019 (S1); December 2nd, 2019 (S2) and December 20th, 2019 (S3). Figure 1 presents the climatic data observed throughout both experiments.

      Figure 1. 

      Mean values of maximum (Tmax) and minimum (Tmin) temperature (°C), and precipitation (mm).

      The soil of the experimental area was classified as Oxisol, with loamy sand texture, showing a pH of 4.9, available concentrations of P and K of 3.00 and 26.00 mg·dm−3, respectively; Ca and Mg concentrations of 1.5 and 0.7 cmolc·dm−3, respectively, and base saturation equal to 54.44%. The mean soil bulk density was 1.55 kg·dm−3, with sand, silt and clay percentage of 82, 13 and 5 dag·kg−1, respectively.

      The cultivars M9144RR (Monsoy Ltda) and TMG1188RR (Tropical Genetic Improvement) were used, with maturation grade 9.1 and 8.8, respectively, both with determined growth habit and demanding in terms of fertility.

    • At each sowing date, the experiments were conducted in a randomized block design, consisting of five treatments and four replications. The treatments were arranged in a 2 × 5 factorial scheme, represented by the two cultivars (M9144RR and TMG1188RR) and five doses of A. brasilense (0, 100, 200, 300 and 400 mL·ha−1), applied via foliar.

      At the time of sowing, the seeds were inoculated with strains of B. japonicum Semia 5079 and Semia 5080 (5.0 × 109 CFU·mL−1) at a dose of 60 g/50 kg of seeds. When the plants reached the stage of growth V5 (Fifth fully developed trifoliate leaf), the foliar application of the treatments was realized with A. brasilense strains AbV5 and AbV6 (2.0 × 108 CFU·mL−1) at doses 0, 100, 200, 300 and 400 mL·ha−1.

      The experimental plot consisted of four 5-m-long rows at spacing of 0.50 m between rows and 1.0 m between treatments, with a density of 15 plants per linear meter.

    • To measure net photosynthesis rate [(A) µmol CO2 m2·s−1], stomatal conductance [(gs) µmol CO2 m2·s−1], transpiration [(E) mmol H2O m2·s−1)] and internal CO2 concentration [(iC) µmol CO2 m2·s−1], was used an infrared gas analyzer (IRGA; Li-COR CO2/H2O Gas analyzer 6400, Lincoln, NE, USA). Measurements were always performed in the morning, between 8:00AM and 10:00AM, on fully expanded leaves, at R1 and R5 stages.

      Grain yield per hectare (GY) was calculated considering the observation area of the plot of 3 m2, eliminating the border effect.

    • The data were subjected to individual analysis of variance and, subsequently, to a joint analysis when the homogeneity of variances was verified. Means of yield were grouped by the test of Scott & Knott[14] at p ≤ 0.05. After that, the doses of A. brasilense were subjected to regression analysis, using first-, second-, and third-degree polynomial models. The statistical programs SISVAR 5.0[15] and OriginPro (2015) were used.

    • Table 1 presents the summary of the joint analysis of variance for physiological parameters and grain yield of two soybean cultivars, submitted to different doses of A. brasilense, at three different sowing dates.

      Table 1.  Analysis of variance related to the characteristics: net photosynthesis rate (A µmol CO2 m2·s−1), stomatal conductance (gs µmol CO2 m2·s−1), transpiration rate (E mmol H2O m2·s−1), internal CO2 concentration (iC µmol CO2 m2·s−1) and grain yield (GY kg·ha−1) of the soybean cultivars (C), M9144RR and TMG1188RR, produced on three sowing dates (S).

      SVDFMean square
      gsEiCAGY
      S236.0*2.0*394858.7*504.7*2667545.8*
      C169.0*2.4*6200.2*213.9*290306.9*
      D412.1*2.4*4320.4*27.5*301862.8ns
      R (S)91.2ns0.1ns261.4ns1.2ns54749.0ns
      S × C218.6*3.2*27846.9*108.2*543547.6*
      S × D88.7*1.1*1623.9*12.4*307563.6*
      C × D425.4*2.2*702.3*3.3*321298.1*
      S × D × C89.9*0.5*3313.1*7.5*507260.0*
      Error811.00.2122.11.290896.9
      Total119
      CV (%)16.876.594.336.2512.69
      *: Significant at p ≤ 0.05 by F test; ns: Not significant. DF: Degrees of freedom; SV: Source of variation; S: sowing dates; C: cultivars; D: doses of Azospirillum brasilense; R: Replications.

      Isolated effects of sowing dates (S), cultivars (C) and doses of A. brasilense (D) were observed in all evaluated physiological parameters and grain yield. In addition, there was interaction between all sources of variation studied.

      For the double interaction D × S, the significant effect showed that environmental variations influenced the plant/bacteria system, which, in turn, reflected in gas exchange. Similarly, the C × D interaction shows that different cultivars present different behavior in response to A. brasilense, as already observed by Hungria[16].

      In addition, the triple interaction S × C × D demonstrated that, under some conditions, A. brasilense exerts a direct influence on the photosynthetic apparatus and benefits plants in stress situations, resulting from environmental variations on different sowing dates.

    • Table 2 presents the gs averages of two soybean cultivars, cultivated on three sowing dates and different doses of A. brasilense applied via foliar application.

      Table 2.  Means of S × C × D interaction for stomatal conductance (gs) of two soybean cultivars, in three sowing dates and different doses of A. brasilense.

      Sowing datesCultivarsgs (µmol CO2 m2·s−1)
      Dose (mL·ha−1)
      0100200300400
      S1M9144RR1.70Ab1.65Aa1.85Aa3.1Aa2.45Aa
      TMG132RR1.25Ba1.50Ba1.50Aa1.55Bb1.95Bb
      S2M9144RR1.40Ab1.25Ab1.15Ab1.55Bb3.15Aa
      TMG132RR3.70Aa4.80Aa1.80Aa2.17Aa2.95Aa
      S3M9144RR1.40Aa1.35Aa1.55Aa1.35Ba1.90Ba
      TMG132RR1.45Ba1.45Ba1.60Aa1.70Ba1.60Ba
      Means between seasons, within the same cultivar, followed by the same capital letter in the column do not differ by the Scott Knott test at 5% probability. Means between cultivars, within the same season, followed by the same lowercase letter in the column do not differ by the Scott Knott test at 5% probability. * S1: sowing date 1; S2: sowing date 2; S3: sowing date 3.

      The study between sowing times showed that, for the M9144RR cultivar, the highest gs averages were observed at S1 and S2, at the highest applied dose, while in the TMG1188RR cultivar, the highest average was observed only at S2 and at the lowest applied dose (Table 2).

      Among the cultivars, within each sowing date, the materials behaved differently, demonstrating different responses to the imposed environmental conditions. With regards to doses, the study showed that there was only adjustment in the second sowing date, for both cultivars (Fig. 2).

      Figure 2. 

      Stomatal conductance (gs) as a function of foliar application of different doses of A. brasilense in soybean at vegetative stage V5, on three sowing dates.

      For the M9144RR cultivar, the quadratic adjustment showed a higher gs rate (3.35 µmol CO2 m2·s−1) at the dose of 400 mL·ha−1 (Fig. 2a). In this case, the application of A. brasilense contributed to the increase in stomatal conductance.

      Differently, for the TMG1188RR cultivar, the cubic adjustment showed that the highest gs (4.89 µmol CO2 m2·s−1) occurred at the lowest applied dose (120.52 mL·ha−1), followed by the control (Fig. 2b). The difference observed between the cultivars in relation to the gs possibly occurred due to the plant-bacterium interaction. According to Matsumura at al.[17], inoculation response may vary according to plant genotype, bacterial strain and environmental conditions, which may be related to the genetic traits intrinsic to each soybean genotype.

      The literature has reported effects on the interaction of A. brasilense in plants under conditions of water restriction and high temperatures[11], which could partly explain the increase in gs in less favorable environmental conditions for cultivar M9144RR, like those observed in E2 (Fig. 1).

      Marques et al.[18] also reported an increase in gs in corn plants inoculated with A. brasilense and subjected to water stress. According to the authors, the increase in gs in inoculated plants may be related to the improvement in water use efficiency, which, in this case, may have been mediated by the bacteria. Furthermore, Tonelli et al.[19] reported that genetic characteristics and climatic conditions are also responsible for different responses between cultivars and bacteria.

      On the other hand, it is necessary to consider that the increase in gs also entails a higher cost of water loss via transpiration[20]. Furthermore, Cohen et al.[21] found a reduction in stomatal conductance in A. thaliana plants under water deficit and inoculated with A. brasilense. According to the authors, this process could be related to the greater presence of ABA in the plant-bacteria system, which would benefit the plants under temporary drought conditions, as may have occurred for the cultivar TMG1188RR.

    • Table 3 presents the transpiration averages of two soybean cultivars, on three sowing dates and different doses of A. brasilense applied via foliar application.

      Table 3.  Means of S × C × D interaction for transpiration (E) of two soybean cultivars, on three sowing dates and different doses of A. brasilense.

      Sowing datesCultivarE (mmol H2O m−2·s−1)
      Dose mL·ha−1
      0100200300400
      S1M9144RR7.60Aa7.35Aa7.00Aa7.10Aa7.30Aa
      TMG132RR7.15Aa6.95Ba6.90Ba6.00Aa7.00Aa
      S2M9144RR7.00Aa6.25Bb6.80Aa7.60Aa7.50Aa
      TMG132RR7.25Aa7.30Aa6.65Ba6.80Aa7.25Aa
      S3M9144RR7.25Aa6.95Ba7.05Aa7.10Aa7.50Aa
      TMG132RR7.00Aa7.75Aa7.25Aa6.90Aa7.55Aa
      Means between seasons, within the same cultivar, followed by the same capital letter in the column do not differ by the Scott Knott test at 5% probability. Means between cultivars, within the same season, followed by the same lowercase letter in the column do not differ by the Scott Knott test at 5% probability. * S1: sowing date 1; S2: sowing date 2; S3: sowing date 3.

      In the study between sowing dates, the cultivar M9144RR showed a distinct behavior at the lowest applied dose, in which the lowest E value was observed at S2 and S3. On the other hand, the TMG132RR cultivar had the lowest E value observed in S1 (Table 3).

      Under conditions of water stress and high temperatures, such as those recorded in S2 (Fig. 1), plants may occasionally increase transpiration to reduce internal temperature. Armanhi et al.[9] found that inoculation with root-colonizing microorganisms reduced leaf temperature by up to 4 °C in maize plants subjected to thermal and water stress, which may also have occurred in the present study.

      In this case, there would be a transient increase in stomatal conductance, mediated by A. brasilense and, consequently, an increase in transpiration.

      Although the C × S × D interaction was significant for all evaluated parameters, there was no dose adjustment for E, indicating that there is no functional relationship between doses for this characteristic.

    • Table 4 presents the iC averages of two soybean cultivars, on three sowing dates and different doses of A. brasilense applied via foliar application.

      Table 4.  Means of S × C × D interaction for internal CO2 concentration (iC) of two soybean cultivars, on three sowing dates and different doses of A. brasilense.

      Sowing datesCultivarsiC (μmol CO2 m−2·s−1)
      Dose mL·ha−1
      0100200300400
      S1M9144RR331.00Aa338.50Aa329.00Aa343.00Aa347.00Aa
      TMG132RR332.50Aa344.00Aa327.50Aa336.50Aa328.50Aa
      S2M9144RR202.50Ba198.50Ba193.00Ba198.50Bb195.00Bb
      TMG132RR202.50Ba201.50Ba219.00Ba234.50Ba247.50Ba
      S3M9144RR211.50Ba222.50Ba234.00Ba247.00Ba305.00Aa
      TMG132RR190.50Ba196.00Ba194.00Ba192.00Ba196.00Bb
      Means between seasons, within the same cultivar, followed by the same capital letter in the column do not differ by the Scott Knott test at 5% probability. Means between cultivars, within the same season, followed by the same lowercase letter in the column do not differ by the Scott Knott test at 5% probability. * S1: sowing date 1; S2: sowing date 2; S3: sowing date 3.

      Between the sowing dates, the two cultivars registered higher iC averages in S1, season that registered better environmental conditions (Fig. 1). Among the cultivars, there was a distinct response at S2 and S3, at the highest applied dose.

      Regarding the doses, for the M9144RR cultivar, the adjustment occurred through a cubic equation, only in S3, responding with a greater accumulation of iC (328.65 μmol CO2 m−2·s−1), at the highest applied dose (400 mL·ha−1) (Fig. 3a).

      Figure 3. 

      Intercellular CO2 concentration as a function of foliar application of different doses of A. brasilense in soybean phenology stage V5, on three sowing dates.

      Differently, for the cultivar TMG1188RR, the adjustment occurred only in S2, through a linear equation, with the highest dose providing accumulation of 247.26 mmol CO2 m−2·s−1 of iC. In both cultivars, the dose of 400 mL·ha−1 of A. brasilense favored the highest accumulation of iC. In this case of the M9144RR cultivar, this increase was accompanied by an increase in gs (Fig. 2a) and E (Table 3), which was expected under these conditions.

      However, in the TMG1188RR cultivar, the linear increase was accompanied by a reduction in gs (Fig. 2b). Wei et al.[22]observed that in situations of low water availability, an increase in the internal carbon concentration in the substomatal chamber may occur, partially explaining the results obtained for this cultivar.

    • Table 5 presents the A averages of two soybean cultivars, in three sowing dates and different doses of A. brasilense applied via foliar application.

      Table 5.  Means of S × C × D interaction for net photosynthesis rate (A) of two soybean cultivars, on three sowing dates and different doses of A. brasilense.

      Sowing datesCultivarsA (µmol CO2 m−2·s−1)
      Dose mL ha−1
      0100200300400
      S1M9144RR20.35Aa21.05Aa20.10Aa21.70Aa23.10Aa
      TMG132RR18.90Ab19.00Aa17.75Ab20.85Aa23.70Aa
      S2M9144RR16.0Ba15.60Ca16.25Ca17.05Ba17.20Cb
      TMG132RR16.55Ba16.95Ba15.65Ba15.80Bb21.60Ba
      S3M9144RR17.15Ba18.75Ba18.55Ba17.40Ba20.00Ba
      TMG132RR14.30Cb14.65Cb13.50Cb14.00Cb12.75Cb
      Means between seasons, within the same cultivar, followed by the same capital letter in the column do not differ by the Scott Knott test at 5% probability. Means between cultivars, within the same season, followed by the same lowercase letter in the column do not differ by the Scott Knott test at 5% probability. * S1: sowing date 1; S2: sowing date 2; S3: sowing date 3.

      In general, between the sowing dates, the two cultivars had the highest rates of A in S1, as well as in iC (Table 4). However, they differed among themselves within each season, demonstrating their different behavior to the effects of inoculation in face of environmental variations resulting from sowing dates.

      Regarding the doses, for the cultivar M9144RR, the adjustment occurred only in S2, through a cubic equation (Fig. 4a), with an A of 17.32 mmol CO2 m−2·s−1, at a dose of 400 mL·ha−1, which was also observed for gs (Fig. 2a) and iC (Fig. 3a).

      Figure 4. 

      Net photosynthesis rate as a function of foliar application of different doses of A. brasilense in soybean at phenological stage V5, on three sowing dates.

      For the cultivar TMG1188RR, equation adjustment was obtained on the first and second sowing dates, also by means of cubic equation. In both seasons, the highest applied dose of A. brasilense provided a photosynthetic rate of 23.00 CO2 m−2·s−1 and 21.39 CO2 m−2·s−1 (Fig. 4b & c), respectively. On the other hand, in this same condition there was a reduction in gs (Fig. 2b) and an increase in iC (Fig. 3b).

      The net photosynthetic rate can be considered as a product of gas exchange, which begins with stomatal conductance and is dependent on factors such as water availability, light and temperature. However, A can be compromised, not only by reducing gs, but also by reducing the rate of electron transport and photophosphorylation, both processes in the photochemical step of photosynthesis[23].

      Costa & Marenco[24] found a low correlation between A and gs, explaining that both photosynthesis and stomatal conductance are plant parameters that respond to a set of factors that interact in a coordinated but highly complex manner.

      Therefore, for cultivar TMG1188RR, what would possibly explain the increase in A, even with a reduction in gs, could be an additional external factor. Thus, the inoculation seems to have protected the photosynthetic apparatus, guaranteeing chain reactions, even with the plant under unfavorable environmental conditions.

    • When comparing the averages (Table 6), it was possible to observe that, between the sowing dates, the cultivar M9144RR obtained the highest average productivity value in S2, at the highest dose applied, differing from the control.

      Table 6.  Means of S × C × D interaction for grain yield (GY) of two soybean cultivars, on three sowing dates and different doses of A. brasilense.

      Sowing datesCultivarsGY (kg·ha−1)
      Doses (mL·ha−1)
      0100200300400
      S1M9144RR2,512 Aa2,438 Aa2,578 Bb2,737 Ab2,529 Bb
      TMG1188RR2,471 Ba2,472 Ba3,235 Aa3,239 Aa3,210 Aa
      S2M9144RR2,792 Aa2,658 Ab3,212Aa2,844 Aa3,441 Aa
      TMG1188RR3,022 Aa3,450 Aa3,094 Aa2,331 Bb2,644 Bb
      S3M9144RR1,106 Ba1,508 Ba1,265 Cb1,251 Bb1,730 Ca
      TMG1188RR1,553 Ca1,506 Ca1,609 Ba1,562 Ca1,311 Cb
      Means between seasons, within the same cultivar, followed by the same capital letter in the column do not differ by the Scott Knott test at 5% probability. Means between cultivars, within the same season, followed by the same lowercase letter in the column do not differ by the Scott Knott test at 5% probability. * S1: sowing date 1; S2: sowing date 2; S3: sowing date 3.

      Considering that S2 presented unfavorable environmental conditions (Fig. 2), this difference may be related to inoculation responses in plants under water stress, as observed by Cohen et al.[25] in corn plants grown under similar conditions. In addition, in S2, the same cultivar showed better response to gs (Fig. 2a) and A (Fig. 4a), at the highest applied dose.

      In cultivar TMG1188RR, the highest yield occurred at the lowest dose applied, also in S2 (Table 6), in addition to an increase in gs (Fig. 2b), indicating an antagonistic response to that observed for cultivar M9144RR. In this case, it can be considered that the cultivar TMG1188RR was more sensitive to the effects of inoculation within the same sowing date. However, at the highest applied dose, productivity decreased.

      It is important to note that, in the control treatment, there was no mean difference between the cultivars in each season (Table 6), that is, without the presence of A. brasilense, the behavior of the materials in the face of environmental variations was similar for productivity. However, after the control, this behavior changed, indicating that the response to inoculation really is multifactorial and dependent on factors such as the type of cultivar and the environmental conditions to which they are subjected.

      For the M9144RR cultivar, dose adjustment occurred only in S3, using a linear equation (Fig. 5a), with the best response at the maximum dose applied (1,725.45 kg·ha−1). However, the effects of the bacteria were also observed in S2. The low productivity observed in S3 may have occurred due to multiple environmental factors. It is important to note that the averages observed in gs and A were also low in S3, especially for the cultivar TMG1188RR, which showed the lowest productivity. Furthermore, the low rainfall at the beginning of sowing, before inoculation with A. brasilense, may have been an additional factor that contributed to the low yield in this condition.

      Figure 5. 

      Grain yield as a function of foliar application of different doses of A. brasilense in soybean at phenological stage V5, on three sowing dates.

      For the cultivar TMG1188RR, the adjustment occurred in S1 and S2, by means of cubic equation (Fig. 5b & c). In the first sowing season, with the highest dose applied, the average yield reached was 3,339.71 kg·ha−1. This result shows how environmental conditions can interfere differently in the plant/bacteria relationship, even in the same cultivar.

      Considering the second sowing date to be the one in which the environmental conditions were less favorable, the cultivar TMG1188RR showed greater sensitivity to the effects of the bacteria, responding at the lowest applied doses. This result was also observed for the physiological parameters. However, under more adequate conditions of water availability (S1), the benefits attributed to the inoculation were achieved in the highest doses applied.

      That way, the productivity response can be attributed to the physiological parameters, which were influenced by the bacteria. Neto et al.[26] observed significant changes in dry biomass and root structure at different doses of A. brasilense in corn. Naoe et al.[11] also observed different responses in the productivity of soybean inoculated with A. brasilense under different environmental conditions. On the other hand, Zuffo et al.[27] did not observe beneficial effects on the productivity of soybean inoculated with the bacteria.

      Thus, in unfavorable environmental conditions, A. brasilense seems to exert an additional benefit to the plants. However, in this study, the way in which the cultivars responded to this interaction was different, although both were favored directly and/or indirectly by inoculation.

    • The foliar application of A. brasilense on soybean plants influenced the physiological parameters and grain yield differently in the two evaluated cultivars.

      At the dose of 100 mL·ha−1, the TMG1188RR cultivar showed greater yield (3,450 kg·ha−1) and gs (4.89 µmol CO2 m−2·s−1). While the cultivar M9144RR showed higher yield (3,441 kg·ha−1), gs (3.35 µmol CO2 m−2·s−1) and A (17.32 µmol CO2 m−2·s−1), at the dose of 400 mL·ha−1.

      The foliar inoculation with A. brasilense can be recommended as a biotechnological technique that influences the physiological characteristics of soybeans and improves yield in unfavorable environmental conditions.

    • The authors confirm contribution to the paper as follows: Study conception and design: Reina E, Peluzio JM; data collection: Reina E, Monteiro FJF; analysis and interpretation of results: Reina E, Peluzio JM, Naoe AML; draft manuscript preparation: Naoe AML, Reina E ; review & editing: Naoe AML. All authors reviewed the results and approved the final version of the manuscript.

    • The data in this paper are free from any conflict of interest. The data that support the findings of this study are available from the corresponding author upon reasonable request.

      • The support rendered by the Federal University of Tocantins and Brazilian Agricultural Research Corporation is fully acknowledged.

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

      • Copyright: © 2024 by the author(s). Published by Maximum Academic Press, Fayetteville, GA. 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 (5)  Table (6) References (27)
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    Reina E, Peluzio JM, Naoe AMdL, Monteiro FJF. 2024. Effect of Azospirillum brasilense in gas exchanges and production of soybean. Technology in Agronomy 4: e006 doi: 10.48130/tia-0024-0003
    Reina E, Peluzio JM, Naoe AMdL, Monteiro FJF. 2024. Effect of Azospirillum brasilense in gas exchanges and production of soybean. Technology in Agronomy 4: e006 doi: 10.48130/tia-0024-0003

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