Modelling the Effect of Environmental Conditions on Wheat Yield in Gujarat Using APSIM-Wheat Model

R. M. Desai

Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand-388110, Gujarat, India.

S. B. Yadav *

Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand-388110, Gujarat, India.

B. M. Chaudhari

Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand-388110, Gujarat, India.

N. J. Chaudhari

Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand-388110, Gujarat, India.

A. G. Gamit

Department of Agricultural Meteorology, B. A. College of Agriculture, Anand Agricultural University, Anand-388110, Gujarat, India.

*Author to whom correspondence should be addressed.


Abstract

Wheat (Triticum aestivum L.) is a major staple crop globally and a key contributor to food and nutritional security in India. The area, production, and productivity of wheat in India have increased significantly due to the introduction of high-yielding varieties during the Green Revolution. Climate change-induced variations in temperature, radiation, and atmospheric CO₂ concentration are expected to significantly influence wheat productivity. The study aims to effect of change in environmental conditions on wheat grain yield using the APSIM wheat model. A sensitivity analysis was conducted using the APSIM-Wheat model to quantify the effects of changes in maximum temperature (Tmax), minimum temperature (Tmin), bright sunshine hours (BSS), and CO₂ levels on the grain yield of three wheat varieties, GW 496, GW 451 and GW 513, under the climatic conditions of Anand, Gujarat. Simulation results indicated that increasing Tmax had a substantial negative impact on yield, with a +5°C rise reducing grain yield by 19.5-23.1%, whereas a −5°C decrease enhanced yields by up to 19.2%. Similarly, elevated Tmin reduced productivity, with GW 496 showing the highest loss (-27.3% at +5°C), while lower Tmin values improved yields by up to 10.9%. Among the varieties, GW 496 exhibited the greatest sensitivity to temperature fluctuations, while all varieties responded positively to increased BSS and CO₂ enrichment. These findings emphasise the dual challenge and opportunity posed by climate change-while rising temperatures threaten yield stability, strategic management of sowing dates, irrigation, and cultivar selection, combined with the potential benefits of CO₂ fertilisation, could help sustain wheat production. This study provides valuable insights for climate-resilient agricultural planning and underscores the importance of integrating crop simulation modelling into policy and farm-level decision-making to ensure long-term wheat productivity under changing environmental conditions. Overall, the findings emphasise that wheat production in Anand is particularly vulnerable to an increase in temperature and a reduction in sunshine hours, but could benefit from elevated atmospheric CO2 levels, provided other growth factors remain optimal.

Keywords: Wheat, agricultural production systems simulator, sensitivity analysis, green revolution, climate change


How to Cite

Desai, R. M., S. B. Yadav, B. M. Chaudhari, N. J. Chaudhari, and A. G. Gamit. 2025. “Modelling the Effect of Environmental Conditions on Wheat Yield in Gujarat Using APSIM-Wheat Model”. International Journal of Environment and Climate Change 15 (9):431-38. https://doi.org/10.9734/ijecc/2025/v15i95027.

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