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This biometeorological assessment shows associations of climate with sesame yield, suggesting strategies for adaptation.
= 0.29 to 0.78) identified monthly temperature indices (Tmin, Tmax, Tavg, DTR, and GDD) and rainfall distribution and intensity indices (RainyDays, R10_days, R20_days, CWD, SDII, and CDD) as more important predictors than seasonal averages. The findings revealed that moderate warming may benefit sesame production, whereas excess and poorly distributed rainfall remains an important climatic constraint. Overall, this biometeorological assessment offers a strong scientific basis for formulating climate-resilient sesame production strategies that effectively address long-term climate trends as well as short-term weather variability.
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Singh et al. (2026) studied this question.
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