Articles | Volume 19, issue 20
https://doi.org/10.5194/gmd-19-9973-2026
https://doi.org/10.5194/gmd-19-9973-2026
Model description paper
 | 
19 Oct 2026
Model description paper |  | 19 Oct 2026

Improving photosynthate allocation dynamic simulations of crops under water stress conditions

Wei Xu, Wen Zhang, Yongqiang Yu, and Qing Zhang

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Cited articles

Allard, V., Martre, P., and Le Gouis, J.: Genetic variability in biomass allocation to roots in wheat is mainly related to crop tillering dynamics and nitrogen status, Eur. J. Agron., 46, 68–76, https://doi.org/10.1016/j.eja.2012.12.004, 2013. 
Allen, R. G., Pereira, L. S., Smith, M., Raes, D., and Wright, J. L.: FAO-56 Dual Crop Coefficient Method for Estimating Evaporation from Soil and Application Extensions, J. Irrig. Drain Eng., 131, 2–13, https://doi.org/10.1061/(ASCE)0733-9437(2005)131:1(2), 2005. 
Bertheloot, J., Martre, P., and Andrieu, B.: Dynamics of Light and Nitrogen Distribution during Grain Filling within Wheat Canopy, Plant Physiol., 148, 1707–1720, https://doi.org/10.1104/pp.108.124156, 2008. 
Boretti, A. and Rosa, L.: Reassessing the projections of the World Water Development Report, npj Clean Water, 2, 15, https://doi.org/10.1038/s41545-019-0039-9, 2019. 
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This study improves the Agro-C model to better represent how crops respond to changing soil moisture. The updated model adjusts carbon allocation between roots and leaves according to soil moisture and growth stage, and also accounts for leaf aging under water stress. Tests with field data for maize and wheat showed better predictions of plant growth above and below ground. The results can improve estimates of crop production and soil carbon storage under future drought and climate change.
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