ArticleScientific reports2026
Associations of meteorological variability with sesame yield in semi-arid Bundelkhand region of India.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Understanding long-term changes in weather variables and their impact on crop productivity is essential for climate resilient agriculture in semi-arid regions of India. This study assessed the district wise long-term trends in temperature and rainfall and examined their linkages with sesame (Sesamum indicum L.) yield across Bundelkhand region of India. Long-term monthly temperature and seasonal rainfall trends were analyzed using simple linear regression, Mann-Kendall, modified Mann-Kendall and Sen's slope methods. District-wise crop weather relations between sesame yield and weather variables were evaluated using correlation analysis and stepwise linear regression models. The long-term trends revealed a consistent warming across the region (0.9-2.2 °C/100 years), particularly during the late monsoon and post-monsoon months, whereas monsoon as well as annual rainfall showed a declining trend at the rate of -1.03 to -1.51 mm/year. Correlation results indicated that sesame yield was positively associated with temperature and heat accumulation indices (r = 0.28 to 0.48) especially during August-September, reflecting favourable thermal conditions for crop growth. In contrast, rainfall-related variables, including rainfall amount, number of rainy days, heavy rainfall events, and prolonged wet spells showed negative correlations with sesame yield (r = -0.26 to -0.47), with August rainfall exerting the strongest adverse influence. Regression models (R
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