Modeling mustard water use and its effects on soil water content and subsequent maize performance under projected climate scenarios

Mustard ( Brassica spp .) grown as a cover crop retains root-zone soil water; however, if terminated late, it may lead to excessive water uptake. We calibrated and evaluated the decision support system for agrotechnology transfer (DSSAT) using field data from 2019 to 20 to simulate soil water content (SWC), leaf area index (LAI), aboveground biomass (AGB), and grain yield for maize ( Zea mays L.) in southwest Texas. We applied DSSAT with climate projections from seven global climate models (GCMs) to assess soil water dynamics and crop responses under projected climate scenarios. The model accurately calibrated and evaluated LAI for maize (RMSE = 0.28) and mustard (RMSE = 1.42), and AGB for maize (RMSE = 1092.51 kg ha −1 ) and mustard (RMSE = 772.54 kg ha −1 ). Simulated SWC matched observed values in 2019 and closely followed field observations at 10 cm depth in 2020, confirming the model's sensitivity to root-zone moisture dynamics. Future climate impacts were assessed using Seasonal Analysis tool with bias-corrected projections from seven GCMs under RCP 4.5 and RCP 8.5. Results showed that maize yield is projected to peak in 2050 under RCP 4.5 and declined under RCP 8.5. Mustard cover cropping improved SWC (0.29 m 3 m −3 ) and subsequently maize yield under moderate to high rainfall scenarios, but had neutral effects under drier conditions (SWC as 0.13 m 3 m −3 ). It is critical to maintain SWC above 0.27 m 3 m −3 for maize yield stability in this region. Maize irrigation demand is projected to increase 20 % by 2100. Sensitivity analysis showed that maize yield is strongly influenced by genetic parameters such as P1, P5, and G2 that regulate phenology and grain filling duration. Our study recommends targeted irrigation at flowering and physiological maturity in maize to optimize WUE, while demonstrating that projected warming and altered rainfall patterns are expected to intensify soil moisture deficits in mustard–maize rotation. Soil water conservation and climate-resilient maize-mustard rotations with strategic irrigation management to address projected declines in yields due to climate change. The integration of maize and mustard in crop rotations significantly improves SWC and overall system resilience. Its effectiveness is influenced by the projected irrigation demands and the specific climate scenarios (RCP4.5 and RCP8.5) considered. Increased SWC from winter-grown mustard enhances moisture availability for subsequent maize crops, leading to improved yield potential. The projected rise in irrigation needs under future climate scenarios underscores the importance of adaptive strategies, such as deficit and focused irrigation at both flowering and physiological maturity stages, to optimize WUE. • Mustard increases maize yields by 3 % under wet conditions; neutral in dry years. • Critical SWC threshold of 0.27 m 3 m −3 essential for maize yield stability. • Projected irrigation demand rises 20 % by 2100, requiring adaptive management. • Deficit subsurface drip irrigation at flowering/maturity maximizes WUE.

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Publication Details

Journal
European Journal of Agronomy
Published
2026-01-02
DOI
https://doi.org/10.1016/j.eja.2025.127971
Primary Topic
Climate change impacts on agriculture
Type
article
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article

Modeling mustard water use and its effects on soil water content and subsequent maize performance under projected climate scenarios

Uzair Ahmad, Xuejun Dong, Shah Jahan Leghari, Gerrit Hoogenboom
European Journal of Agronomy
Climate change impacts on agriculture
article

Modeling mustard water use and its effects on soil water content and subsequent maize performance under projected climate scenarios

Uzair Ahmad, Xuejun Dong, Shah Jahan Leghari, Gerrit Hoogenboom
article en

Abstract

Mustard ( Brassica spp .) grown as a cover crop retains root-zone soil water; however, if terminated late, it may lead to excessive water uptake. We calibrated and evaluated the decision support system for agrotechnology transfer (DSSAT) using field data from 2019 to 20 to simulate soil water content (SWC), leaf area index (LAI), aboveground biomass (AGB), and grain yield for maize ( Zea mays L.) in southwest Texas. We applied DSSAT with climate projections from seven global climate models (GCMs) to assess soil water dynamics and crop responses under projected climate scenarios. The model accurately calibrated and evaluated LAI for maize (RMSE = 0.28) and mustard (RMSE = 1.42), and AGB for maize (RMSE = 1092.51 kg ha −1 ) and mustard (RMSE = 772.54 kg ha −1 ). Simulated SWC matched observed values in 2019 and closely followed field observations at 10 cm depth in 2020, confirming the model's sensitivity to root-zone moisture dynamics. Future climate impacts were assessed using Seasonal Analysis tool with bias-corrected projections from seven GCMs under RCP 4.5 and RCP 8.5. Results showed that maize yield is projected to peak in 2050 under RCP 4.5 and declined under RCP 8.5. Mustard cover cropping improved SWC (0.29 m 3 m −3 ) and subsequently maize yield under moderate to high rainfall scenarios, but had neutral effects under drier conditions (SWC as 0.13 m 3 m −3 ). It is critical to maintain SWC above 0.27 m 3 m −3 for maize yield stability in this region. Maize irrigation demand is projected to increase 20 % by 2100. Sensitivity analysis showed that maize yield is strongly influenced by genetic parameters such as P1, P5, and G2 that regulate phenology and grain filling duration. Our study recommends targeted irrigation at flowering and physiological maturity in maize to optimize WUE, while demonstrating that projected warming and altered rainfall patterns are expected to intensify soil moisture deficits in mustard–maize rotation. Soil water conservation and climate-resilient maize-mustard rotations with strategic irrigation management to address projected declines in yields due to climate change. The integration of maize and mustard in crop rotations significantly improves SWC and overall system resilience. Its effectiveness is influenced by the projected irrigation demands and the specific climate scenarios (RCP4.5 and RCP8.5) considered. Increased SWC from winter-grown mustard enhances moisture availability for subsequent maize crops, leading to improved yield potential. The projected rise in irrigation needs under future climate scenarios underscores the importance of adaptive strategies, such as deficit and focused irrigation at both flowering and physiological maturity stages, to optimize WUE. • Mustard increases maize yields by 3 % under wet conditions; neutral in dry years. • Critical SWC threshold of 0.27 m 3 m −3 essential for maize yield stability. • Projected irrigation demand rises 20 % by 2100, requiring adaptive management. • Deficit subsurface drip irrigation at flowering/maturity maximizes WUE.

European Journal of AgronomyVol. 174
Texas A&M University System (US), University of Florida (US), North West Agriculture and Forestry University (CN)
Climate action
Openalex Percentile: Top 98%
Climate change impacts on agriculture
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