数字农科院2.0

Modeling the interplay of cultivars, irrigation regimes, and planting dates for optimizing cotton productivity in core and non-core cotton areas of Pakistan

文献类型： 外文期刊

作者： Osman, Raheel;Iqbal, Muhammad Shahid;Sarfraz, Zareen;Mahmood, Abid;Shahid, Muhammad Rafiq;Feike, Til;Wang, Lin;Fu, Shenglei;Ata-Ul-Karim, Syed Tahir

作者机构：

关键词： CSM-CROPGRO-Cotton;Long-term simulations;Phenology;Scenario analysis;Maturity group;Water use efficiency

期刊名称： COMPUTERS AND ELECTRONICS IN AGRICULTURE

ISSN： 0168-1699

年卷期： 2025 年 241 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Cotton, the world's most widely cultivated fiber crop, faces increasing challenges from climate change across many production regions. Optimizing cotton production requires aligning cultivar selection, irrigation, and planting dates, yet evidence and decision-support tools are lacking. The study aimed to evaluate the DSSAT-CSMCROPGRO-Cotton to identify promising combinations of cultivars, irrigation regimes, and planting dates for core and non-core cotton growing areas of Pakistan. The model was calibrated and validated using an extensive dataset from twelve (short, medium, and long duration) cultivars and eleven sites across core and non-core cotton growing areas of Pakistan over two seasons. The model was then used to assess cotton production for 30 years on these sites, under three planting dates (25-Apr, 10-May, and 25-May) and four irrigation regimes (30 %, 50 %, 70 %, and 90 % plant available water). Calibration results showed satisfactory model performance for simulating phenology, biomass, and yield across cultivars and sites, with normalized root mean square error remaining below 20 %. Long-term simulations demonstrated superior performance with the highest biomass, yield, harvest index, water use efficiency (WUE), and WUE irrigation (WUE_irri) in core areas. Long-duration cultivars excelled in the harvest index, whereas medium-duration cultivars showed the maximum biomass, yield, WUE, and WUE_irri. 70 % and 90 % irrigation produced similar maximum biomass and yield, and WUE was highest at 50 % irrigation. Planting dates had no significant impact on yield. The findings offer useful insights to guide cotton growers to make informed decisions and improve productivity across Pakistan.

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