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Field experiments were conducted during the Chinese wolfberry growing seasons (April−September) in 2018 and 2019. The experiments were located at the RunDe Chinese wolfberry plantation in Hexi town, Tongxin County, WuZhong City, Ningxia Province, China (36°58'48" N, 105°54'24" E, altitude 1,240 m amsl). This region belongs to an arid zone with a typical continental monsoon climate. The average annual precipitation is around 145−280 mm which is received mostly in July through September. The average annual temperature is recorded at 8.8 °C, while the mean annual sunshine duration amounts to 2,983 h. The frost-free period spans approximately 150 d, with an effective accumulated temperature (calculated by summing the daily temperatures when the daily mean temperature exceeds 10 °C) reaching around 3,397 °C. The drought index is measured at 8.4, and the groundwater depth is determined to be more than 30 m. A decagon micro meteorological monitoring station was installed in an open place 10 m away from the experimental location to monitor meteorological variables. The effective rainfall (≥ 5 mm) during the experimental period was 149 and 155 mm in 2018 and 2019, respectively. The changes in weather variables of daily mean air temperature, rainfall, and reference crop evapotranspiration during the growth period of Chinese wolfberry from 2018 to 2019 are shown in Fig. 1. During the whole growth period of the crop, the temperature and precipitation reached a peak in June to July, and the precipitation was mainly confined to June–September (Fig. 1a). In addition, the variation of reference crop evapotranspiration was similar to that of the temperature (Fig. 1b). In the same period, the reference crop evapotranspiration in 2019 exceeded that of 2018, and the inter-annual variation was inconsistent or irregular.
Figure 1.
(a) Daily rainfall and daily mean temperature, and (b) reference crop evapotranspiration (ET0) during the study period in 2018 and 2019.
The physicochemical properties of soil in the experimental field are shown in Table 1. The soil in this region is generally silt loam in texture and most of them are saline-alkaline soils. There were no substantial variations in the measured soil chemical properties across the experimental years. The soil was low in terms of soil carbon and other nutrients, representing most of the marginal soils in the arid regions.
Table 1. Soil physicochemical properties of the experimental site during the study period.
Year pH Organic
matter
(g·kg−1)Total
N
(g·kg−1)Available
N
(mg·kg−1)Available
P
(mg·kg−1)Available
K
(mg·kg−1)Total
salt
(g·kg−1)2018 8.27 9.77 0.41 13.7 4.87 112 2.22 2019 8.25 9.95 0.47 14.2 5.64 91 2.09 Experimental design and treatment combinations
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A popular variety 'Ningqi No.7' of Chinese wolfberry crop at the 4-year maturity stage was selected for this study and the crops were already established in a 75 and 300 cm spacing (Fig. 2). A 60 cm wide plastic film strip was laid on the cropping line to mulch the soil. Nearly 240 cm of intercrop space was uncovered and exposed to the environment (Fig. 2). A drip irrigation pipe with 16 mm inner diameter was used for irrigation and it was kept 5 cm away from the Chinese wolfberry tree (Fig. 2). The average discharge rate of the pipe was 3.0 L·h−1 and the amount of irrigation is controlled by an electronic water meter mounted on a drip irrigation pipe. Spring irrigation and winter irrigations were 300 and 450 m3·ha−1, respectively.
Three levels of drip irrigation and three levels of fertilization were arranged in a randomized complete two-factor factorial block design and each treatment was replicated three times. The irrigation levels were selected considering the historical precipitation and evapotranspiration of the study area. Three levels of drip irrigation were applied based on reference crop evapotranspiration (ET0), which were low irrigation (65% ET0, W1), medium irrigation (85% ET0, W2), and high irrigation (105% ET0, W3) as presented in Table 2. In this study, the application of fertilizer treatments involved the application of a compound fertilizer which consisted of a combination of all three N-P-K fertilizers. Three levels of N-P2O5-K2O fertilizer treatments were 135-45-90 (F1), 180-60-120 (F2), and 225-75-150 (F3) kg·ha−1. Each treatment plot had a row of ten Chinese wolfberry trees.
Table 2. Irrigation scheduling of Chinese wolfberry during the two years of experiments.
Year Growth stage Irrigation
date (m/d)Number of irrigation Irrigation (mm) Low (W1) Medium (W2) High (W3) 2018 Spring slightly growing stage 5/4 1 17.8 23.3 28.8 Flowering stage 5/17 2 22.6 29.6 36.5 6/2 3 26.3 34.5 42.6 Fruit ripening stage 6/19 4 39.3 51.4 63.5 7/5 5 30.6 40.0 49.5 7/21 6 26.7 34.9 43.1 Deciduous stage 8/4 7 24.3 31.7 39.2 Total 187.6 245.4 303.2 2019 Spring slightly growing stage 5/5 1 18.3 24.0 29.6 Flowering stage 5/19 2 24.5 32.1 39.2 6/4 3 38.7 50.7 62.6 Fruit ripening stage 6/20 4 35.2 46.1 56.9 7/3 5 30.3 39.6 48.9 7/13 6 27.4 35.8 44.2 Deciduous stage 8/5 7 25.7 33.6 41.5 Total 200.1 261.9 322.9 Fertilizers namely urea (N 46%), superphosphate (P2O5 44%), and potassium chloride (K2O 60%) were applied a total of seven times to the fields at different growth stages of the crop. The fertilizer was fertigated with drip irrigation at the middle stage in each irrigation event. The supply of fertilizer for different growth stages were; 20% at the spring slightly growing stage (one time), 20% at the flowering stage (two times equal application), 50% at the fruit ripening stage (three times equal application), and 10% at the deciduous stage (one time). Separate differential pressure tanks with 13 L capacity were used to set up fertigation of each treatment plot.
Measurements and calculations
Growth measurements
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The plant height and leaf area of Chinese wolfberry were measured for three trees from each plot which were randomly selected in each measurement. The plant height was measured using a meter stick for three replicates and the average value of each growth stage was calculated. A portable leaf area meter (CI-202, CID Bioscience, Camas, WA, USA) was used to measure the leaf area. Three sample plants were calibrated in each plot, and the maximum leaf area of the sample plants at each growth stage was taken as the leaf area value of the plot.
Yield measurements
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Chinese wolfberry crops bear fruit for two seasons namely summer and autumn. Generally, the quality and yield of autumn fruits are relatively low and therefore, the yield of summer fruits was only considered in this study. The yield can be categorized into dry fruit yield and fresh fruit yield, with dry fruit being more convenient for preservation and transportation compared to fresh fruit. Hence, this study adopts dry fruit yield as the standard for evaluation. Summer fruits were harvested in late June (first pick), early July (second pick), mid-July (third pick), late July (fourth pick), and early August (fifth pick). A total of 10 Chinese wolfberry trees were harvested from each treatment plot in both years. The harvested fruits were subjected to gradient drying under the following combinations of temperature and time; 40 °C - 2 h, 45 °C - 15 h, 55 °C - 15 h and 65 °C - 6 h. The dried weight of 100 grains for a plot was repeated and the maximum value of the mean was taken as the weight of 100-grain Chinese wolfberry.
Water consumption and water use efficiency
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Water consumption was calculated based on the water balance equation (Eqn 1)[29].
$ ET=I+P+U-R-D-\Delta W $ (1) where, ET is evapotranspiration (mm), I is irrigation amount (mm), P is rainfall (mm), U is groundwater recharge (mm), R is runoff (mm), D is deep percolation (mm), and
is the change in soil moisture between the onset and end of the study (mm). The groundwater recharge, runoff, and deep percolation were negligible due to the prevailing conditions of the experimental site during the experiment period. Therefore, the Eqn (1) could thus be simplified as,$ \Delta W $ $ ET=I+P-\Delta W $ (2) The irrigation amount was calculated based on the reference crop evapotranspiration (ET0) using the Penman-Monteith equation[30].
Water use efficiency (WUE) was calculated based on Badr et al.[25] as follows,
$ W U E=Y/ET $ (3) where, WUE is water use efficiency (kg·m−3), Y is dry fruit yield (kg·ha−1) and ET is evapotranspiration (mm).
Partial factor productivity of fertilizer (PFP)
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The partial factor productivity of fertilizer was calculated as proposed by Ierna et al.[31] using the following formula,
$ P F P=Y/{F}_{T} $ (4) where, PFP is partial factor productivity of fertilizer (kg·kg−1), Y is yield (kg·ha−1) and FT is the total amount of N-P2O5-K2O fertilizer (kg·ha−1).
Economic benefit (E)
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The economic benefit was calculated using a simple benefit-cost analysis as shown in Eqn 5.
$ E={G}_{w}-{W}_{w}-{F}_{w}-{H}_{w}-{O}_{w} $ (5) where, E is Economic benefits (CNY¥·ha−1), Gw is the gross profit, Ww is the water fee, Fw is the fertilizer cost, Hw is the harvesting cost, and Ow is other costs (pesticides, weeding, etc.).
Data analysis
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The data were analyzed using the analysis of variance (ANOVA) procedure for the factorial experiments and mean separation was performed using least significance differences (LSD) at the 5% level. The SPSS 19.0 software (Chicago, IL, USA) was used in statistical analysis and the Matlab (Version 2016b, Natick, MA, USA) was used to calculate the evaluation values. The Origin (Version 2018, Irvine, CA, USA) was used for graphical visualization.
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In both years, plant height was significantly (p < 0.05) affected by irrigation, but not significantly influenced by fertilization. Although the interaction of irrigation and fertilizer was not significant on plant height in 2018, it was significant (p < 0.05) in 2019 (Table 3). The plant height showed an unclear relationship with fertilization rate under the same level of irrigation in both years (Fig 3). Similarly, the relationship between plant height and irrigation level was random at the same fertilizer application level for both years (Fig 3). It is because of the synergistic effect of water and fertilization on plant height from the measured data, as shown in Table 3. Under the same irrigation and fertilization level, the average plant height in 2018 was 2%−12% higher than that in 2019.
Table 3. Level of significance of growth parameters and yield under different irrigation and fertilizer treatments in 2018 and 2019.
Treatment Plant height Leaf area Yield 2018 2019 2018 2019 2018 2019 Level of significance Irrigation * * * ** * * Fertilization ns ns ns * * ns Irrigation × fertilization ns * ns ns ** ** * means significant at the 0.05 probability level, ** means significant at the 0.01 probability level, and ns means non-significant. Figure 3.
Effects of different irrigation and fertilizer treatments on plant height, leaf area, and yield in 2018 and 2019. Error bars show the standard error (n = 3). Different letters on top of the bar indicate a significant difference for the means at p < 0.05 according to the LSD test.
The interaction effect of irrigation and fertilization was not significant on the leaf area in both years. Irrigation exhibited a significant effect (p < 0.05) on the leaf area in 2018 and it was strongly significant (p < 0.01) in 2019. Fertilization did not significantly influence leaf area in 2018 but it was significant in 2019 (Table 3). Generally, the leaf area was smaller in 2019 than the previous year (Fig. 3). This could be due to dryer weather in 2019 compared to the year 2018, which appears to decrease the leaf area.
In both years, irrigation and fertilization had a strong significant interaction effect on yield (p < 0.01) (Table 3). At low-level irrigation (65% ET0, W1), the yield of Chinese wolfberry significantly (p < 0.05) increased with the increasing fertilization rate in 2018. The lowest yield (1,506 kg·ha−1) in 2018 was recorded for W1F1 treatment whereas the highest yield (2,056 kg·ha−1) was observed for W2F2 treatment. At the irrigation level of W2, the yield increased first and then decreased with increasing fertilizer application, and the highest yield (2,356 kg·ha−1) was received for W2F2 treatment in 2018 (Fig. 3). At the W1 irrigation level, the yield was not significantly different between different fertilizer treatments for 2019. The W3F3 treatment provided the lowest yield (1,325 kg·ha−1) while the highest was observed in the W2F3 treatment (1,954 kg·ha−1) in 2019. Under the high irrigation regime (105% ET0, W3), increasing fertilizer levels decreased the yield significantly (p < 0.05) (Fig. 3). For F1 and F2 fertilization levels, the yield significantly increased (p < 0.05) initially and declined thereafter with increasing irrigation levels in 2018 (Fig. 3). Nevertheless, this trend was not seen in the F3 treatment. For F2 and F3 fertilizer application levels, increasing irrigation levels significantly (p < 0.05) increased the yield initially and then significantly (p < 0.05) decreased during the year 2019 (Fig. 3). For the same year, yield significantly (p < 0.05) increased with increasing irrigation levels for F1 fertilizer treatment.
In general, the W3F1 treatment showed the highest plant height in both years and the leaf area was highest for W1F2, W1F3, W2F1, W2F2, and W2F3 treatment combinations over the two years. However, the highest yield was obtained with W2F2 and W2F3 treatments in 2018 and 1019, respectively (Fig. 3).
Overall, under the same irrigation and fertilization regime, the changes in leaf area and yield were similar. However, the changes in plant height of Chinese wolfberry were not uniform. In 2018, the yield of Chinese wolfberry reached the highest under the medium irrigation-fertilizer regime (W2F2), while in 2019, the highest yield was obtained under the medium irrigation and high fertilization (W2F3). Accordingly, the medium irrigation level could be the key to obtaining high yield in Chinese wolfberry. Furthermore, the interaction effect of irrigation and fertilization was highly significant on yield than plant height and leaf area (Table 3).
Water use efficiency (WUE) and partial factor productivity (PFP) of fertilizer
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Water use efficiency (WUE) was significantly (p < 0.05) influenced by irrigation in 2019 and it was strongly significant (p < 0.01) in 2018 (Table 4). Fertilization had no significant effect on WUE in 2019, and conversely, it showed a significant effect in 2018 (p < 0.05). The interaction of irrigation and fertilization had a significant effect on WUE in both years. The highest WUE (0.55 kg·m−3) was attained for W2F2 treatment, and it was 40%−41% higher than the lowest values (W3F1 and W3F3) in 2018. The highest WUE value in 2019 was recorded for the W2F3 treatment (0.39 kg·m−3) and it was 41 % greater than the lowest value obtained for the W3F3 treatment (Table 4).
Table 4. Treatment effects on water use efficiency (kg·m−3) and partial factor productivity of fertilizer (kg·kg−1).
Treatment Water use efficiency
(kg·m−3)Partial factor
productivity of
fertilizer (kg·kg−1)2018 2019 2018 2019 W1F1 0.42d 0.34b 5.58b 4.89b W1F2 0.43c 0.31cd 4.40cd 3.36cd W1F3 0.47b 0.33bc 4.34d 3.24d W2F1 0.42d 0.32c 6.59a 5.2a W2F2 0.55a 0.31cd 6.55a 3.82c W2F3 0.44c 0.39a 4.78c 4.5b W3F1 0.37ef 0.32c 6.52a 5.76a W3F2 0.42d 0.27d 5.55b 3.63c W3F3 0.39e 0.23e 4.75c 2.89e Level of significance Irrigation ** * * * Fertilization * ns ** ** Irrigation × fertilization * * * * Means with different letters are significantly different (p < 0.05) based on the LSD test. * Means significant at the 0.05 probability level, ** means significant at the 0.01 probability level, and ns means non-significant. The interaction effect of irrigation and fertilization was significant (p < 0.05) in PFP during both years (Table 4). The maximum values for PFP were recorded with W2F1, W2F2, and W3F1 treatments in 2018 and the corresponding PFP values were 6.59, 6.55, and 6.52 kg·kg−1, respectively. The lowest values in 2018 were observed for W1F2, and W1F3 treatments which were 4.40 and 4.34 kg·kg−1, respectively. At a higher level of irrigation (W3), PFP decreased with increasing fertilizer application rate in 2018 (Table 4).
In 2019, the maximum values for PFP were 5.2 and 5.76 kg·kg−1 for W2F1 and W3F1 treatments, respectively. The W1F3 treatment exhibited the lowest PFP value (3.24 kg·kg−1) in 2019. In the same year, the irrigation levels W1 and W3 showed a similar trend on PFP to that of 2018 with increasing fertilization levels (Table 4).
In general, under W1 and W2 irrigation levels, PFP decreased with increasing fertilizer application rates. Furthermore, under the low fertilization level (F1), PFP increased with increasing level of irrigation. The PFP reached the minimum value at W3F3 for the year 2019, which could be an indication that the yield of Chinese wolfberry can be retarded under the high level of irrigation and fertilization.
Economic benefits
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At present, Chinese wolfberry cultivation provides an annual comprehensive output value of 13 billion RMB and an average annual income of CNY¥13,500 to 195,000 ha−1[32]. The effect of different irrigation and fertilization treatments on economic benefits in 2018 and 2019 were estimated and presented in Table 5. The economic benefits in 2018 and 2019 were between CNY¥155,596 ha−1 (W1F1) to CNY¥218,001 ha−1 (W2F2), and CNY¥132,423 ha−1 (W3F3) to CNY¥205,199 ha−1 (W2F3), respectively. In 2018 and 2019, the highest economic benefits were higher by 28.5% and 35.5% compared to the lowest economic benefits, respectively. This result indicates that a higher level of irrigation and fertilization do not always maximize the economic benefits, thus emphasizing the requirement for an optimum level of irrigation and fertilizer management for Chinese wolfberry production.
Table 5. Effects of different irrigation and fertilization treatments on economic benefits.
Treatment Water fee
(CNY¥ ha−1)Fertilizer cost
(CNY¥ ha−1)Harvesting cost
(CNY¥ ha−1)Other costs
(CNY¥ ha−1)Gross profit
(CNY¥ ha−1)Economic benefits
(CNY¥ ha−1)2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 2018 2019 W1F1 500 534 2,878 6,778 6,847 15,000 180,752 182,584 155,596 157,325 W1F2 500 534 3,838 7,027 6,344 15,000 187,375 169,178 161,010 143,462 W1F3 500 534 4,797 7,706 6,606 15,000 205,499 176,150 177,496 149,213 W2F1 654 698 2,878 8,010 7,218 15,000 213,607 192,474 187,065 166,680 W2F2 654 698 3838 9,253 7,536 15,000 246,746 200,947 218,001 173,875 W2F3 654 698 4,797 8,397 8,793 15,000 223,925 234,487 195,077 205,199 W3F1 808 862 2,878 7,917 7,900 15,000 211,108 210,656 184,505 184,016 W3F2 808 862 3,838 8,958 6,785 15,000 238,883 180,940 210,279 154,455 W3F3 808 862 4,797 8,330 5,964 15,000 222,120 159,046 193,185 132,423 The water fee is the smallest proportion of the total expenditure and the cost difference of the water fee between treatments is also small. The low cost of water fees and considerable economic losses in cutting down irrigation levels are the major reasons for the lack of interest by farmers in water saving. Suboptimal or super-optimal application of water and fertilizer not only affect the economic return but also waste a very competitive resource like water.
Interaction effect of water and fertilizer on yield, WUE, PFP, and economic benefits
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Farmers cultivating Chinese wolfberry aim at high economic return and it is usually considered that a high water and fertilizer input would increase the economic return. However, the results of this study showed that higher irrigation and fertilization levels increased the yield of Chinese wolfberry only up to a certain extent, usually referred to as an optimum level of input. Application beyond this level has led to economic loss, and reduction of water use efficiency and PFP. Moreover, excessive use of chemical fertilizer deteriorates the soil health, increases fertilizer loss to the environment, causing soil and water pollution, and eventually affecting the sustainability of agriculture[14]. Water use efficiency, economic benefits and ecologically sound crop production are the keys to sustainable agricultural development in arid regions. Therefore, the Chinese wolfberry yield, WUE, PFP, and economic benefits were selected as targeting variables for the optimization process of relevant inputs.
Based on the least square method, four binary quadratic regression equations were established, considering irrigation and fertilizer levels as the independent variables and Chinese wolfberry yield, WUE, PFP, and economic benefits as the dependent variables (Table 6). In addition, the amount of irrigation and fertilization were calculated when the above dependent variables were maximized (Table 7).
Table 6. Regression equations between irrigation and fertilization inputs and yield, WUE, PFP and economic benefits.
Dependent variable/Y Regression equation R2 P Yield/Y1 Y1 = −4120.2737 + 37.5905I + 5.7081Y − 0.0628I2 − 0.0031F2 − 0.0129IF
0.67 * (0.037) WUE/Y2 Y2 = −0.7415 + 0.007I + 0.0018F − 0.000013I2 − 0.00000144F2 − 0.000003IF
0.63 * (0.043) PFP/Y3 Y3 = −3.233 + 0.122I − 0.0325F − 0.0002I2 + 0.000047F2 − 0.000043IF
0.74 * (0.029) Economic benefits/Y4 Y4 = −490877.3168 + 4339.0072I + 648.5543F − 7.2545I2 − 0.3537F2 − 1.4897IF
0.67 * (0.038) I and F represent the amounts of irrigation and fertilization, respectively. * Means significant at the 0.05 probability level. Table 7. The optimum level of irrigation and fertilization for maximum yield, WUE, PFP, and economic benefits.
Dependent variable/Y Maximum value of dependent variable Irrigation
amount
(mm)Fertilization
(N-P2O5-K2O)
(kg·ha−1)Yield/Y1 1859.74 259.7 192-64-128 WUE/Y2 0.42 225.5 204-68-136 PFP/Y3 6.31 269.5 135-45-90 Economic benefits/Y4 195,101.33 261.5 183-61-122 It is difficult to obtain the maximum yield, WUE, PFP, and economic benefits simultaneously. When the amount of irrigation and fertilization (N-P2O5-K2O) were 259.7 mm and 192-64-128 kg·ha−1, respectively, the Chinese wolfberry yield reached the maximum of 1,859.74 kg·ha−1. The WUE reached the maximum of 0.42 kg·m−3 at the amount of irrigation and fertilization (N-P2O5-K2O) of 225.5 mm and 204-68-136 kg·ha−1, respectively. The greatest PFP (6.3 kg·kg−1) was achieved at 269.5 mm and 135-45-90 kg·ha−1 irrigation and fertilization (N-P2O5-K2O) levels, respectively. The maximum economic benefit of CNY¥195,101 ha−1 was achieved with the irrigation and fertilization application of 261.5 mm and 183-61-122 kg·ha−1 of (N-P2O5-K2O), respectively. The irrigation amount at the time of the highest economic benefit was 0.67% higher than that at the time of the highest yield, and the corresponding fertilizer application amount was 4.86% lower than that at the time of the highest yield.
The WUE reached the maximum at a 13.8% lower irrigation amount and 10 % higher fertilization rate than the maximum economic benefit point. The amount of irrigation and fertilization rate was higher than 3% and 26.3%, respectively, for the highest PFP compared to the highest economic benefits.
The interaction effect of irrigation and fertilization inputs on yield, WUE, and economic benefits showed a downward convex shape, while the PFP decreased with increasing fertilization application (Fig. 4). The maxima of yield, WUE, and economic benefits were reached at similar levels of irrigation and fertilization, however, input values to maximize the PFP differs greatly from the other three indicators. Ecological sustainability, water and fertilizer savings are the goals of our multi-objective optimization problem to achieve high yield and high economic benefits. A comprehensive evaluation method by combining the entropy weight method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was established to evaluate each irrigation and fertilization treatment in 2018 and 2019, as shown in Fig. 5.
Figure 4.
Relationship of (a) yield, (b) water use efficiency (WUE), (c) partial factor productivity (PFP) and (d) economic benefits with the amount of irrigation and fertilization (N-P2O5-K2O) during the two years. The red dots in the figure represent the measured experimental data during 2018 to 2019.
Figure 5.
Effects of irrigation and fertilization on comprehensive evaluation index for (a) 2018, and (b) 2019.
It can be found that the maximum index value appeared in the medium level of irrigation and fertilization region in 2018 and a medium level of irrigation and high level of fertilization region in 2019. This observation is consistent with the irrigation and fertilization level reflected by the measured data in these two years. To have an overlapping area in the maximum value of comprehensive evaluation indicators in both years, 90% of the maximum value of comprehensive evaluation indicators was determined as acceptable regions. According to this, when the irrigation range was 252 to 262 mm and the fertilization range was 185-62-123 to 200-67-133 kg·ha−1, the Chinese wolfberry yield, WUE, PFP, and economic benefits reached above 90% of their maxima concurrently.
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All data generated or analyzed during this study are included in this published article.
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About this article
Cite this article
Deng Z, Yin J, Eeswaran R, Gunaratnam A, Wu J, et al. 2024. Interacting effects of water and compound fertilizer on the resource use efficiencies and fruit yield of drip-fertigated Chinese wolfberry (Lycium barbarum L.). Technology in Horticulture 4: e019 doi: 10.48130/tihort-0024-0016
Interacting effects of water and compound fertilizer on the resource use efficiencies and fruit yield of drip-fertigated Chinese wolfberry (Lycium barbarum L.)
- Received: 11 June 2024
- Revised: 01 August 2024
- Accepted: 05 August 2024
- Published online: 28 August 2024
Abstract: Chinese wolfberry (Lycium barbarum L.) is an important cash crop in the Ningxia region of China, but water scarcity, low water use efficiency (WUE) and fertilizer use efficiency (FUE) have limited the growth of its production. Field experiments were conducted in central Ningxia (China) during 2018−2019 to investigate the interaction effects of irrigation and fertilizer levels on agronomic performances (AP), WUE, partial fertilizer productivity (PFP), and economic benefits (EB). The optimal range of irrigation and fertilizer inputs was determined using multiple regression, the entropy weight method, and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) coupling comprehensive evaluation method. Three drip irrigation levels were designated as a percentage of reference crop evapotranspiration (ETo); low (65% ET0: W1), medium (85% ET0: W2) and high (105% ET0: W3). Three N-P2O5-K2O compound fertilization levels (kg·ha−1) were selected as low (135-45-90: F1), medium (180-60-120: F2) and high (225-75-150: F3). Results showed that AP, WUE, PFP, and EB increased initially and then decreased with increasing levels of irrigation under the same fertilization levels. The PFP decreased with increasing fertilization levels and the lowest PFP was observed at high fertilizer (F3) application level. The above parameters reached the maximum value under medium irrigation. By establishing the multi-objective optimization model, it was found that 252−262 mm of irrigation and 185-62-123~200-67-133 kg·ha−1 of N-P2O5-K2O fertilization level offers more than 90% of yield, WUE, PFP, and EB simultaneously. The present results provide scientific insights into the resource optimization under drip-fertigation for Chinese wolfberry.