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<p>The study was conducted to analyze the impact of extreme climate and weather events on maize crop productivity in Anantapur District, Andhra Pradesh, India. Climate indices derived from temperature and rainfall data collected over 23 years (1997–2020) from the National Climate Data Centre, IMD, Pune, and Maize crop productivity data from the Ministry of Agriculture and Farmers Welfare, Govt. of India was utilized. The changes in average maximum and minimum temperatures were identified as influential factors affecting maize productivity. Regression analysis indicated that rising temperatures negatively affect maize yield. Maize productivity is negatively affected by amount of hot days, mean daily temperatures, number of days when maximum temperature was at least 30&#xa0;°C and 35&#xa0;°C, for the reason that, with warmer days and colder nights reflected by a negative trend in TR (Tropical nights), the maize productivity is found to decrease. These findings also characterize strong positive relationships for rainfall indices and their effect on Maize productivity. RX1day shows an R² of 0.21 for <i>Rabi</i> maize, indicating that nearly 20% of the variability in <i>Rabi</i> yield is linked to extreme single-day rainfall events. These findings could help mitigate scientific intervention in formulating evidence-based strategies to farming methods aimed at strengthening resilience and ensuring food security under evolving climatic conditions.</p>

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Quantifying the Influence of Extreme Climate Events on Maize Crop Productivity Using Climate Indices in Anantapur District of Andhra Pradesh

  • 期刊论文

  • 发表日期：

    2025年12月2日

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  • Shirish Khedikar,
  • Adarsh Dube,
  • K. P. D. Raju,
  • Swapnil Panchabhai

摘要

The study was conducted to analyze the impact of extreme climate and weather events on maize crop productivity in Anantapur District, Andhra Pradesh, India. Climate indices derived from temperature and rainfall data collected over 23 years (1997–2020) from the National Climate Data Centre, IMD, Pune, and Maize crop productivity data from the Ministry of Agriculture and Farmers Welfare, Govt. of India was utilized. The changes in average maximum and minimum temperatures were identified as influential factors affecting maize productivity. Regression analysis indicated that rising temperatures negatively affect maize yield. Maize productivity is negatively affected by amount of hot days, mean daily temperatures, number of days when maximum temperature was at least 30 °C and 35 °C, for the reason that, with warmer days and colder nights reflected by a negative trend in TR (Tropical nights), the maize productivity is found to decrease. These findings also characterize strong positive relationships for rainfall indices and their effect on Maize productivity. RX1day shows an R² of 0.21 for Rabi maize, indicating that nearly 20% of the variability in Rabi yield is linked to extreme single-day rainfall events. These findings could help mitigate scientific intervention in formulating evidence-based strategies to farming methods aimed at strengthening resilience and ensuring food security under evolving climatic conditions.