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September 10, 2025Journal of Environmental BiologyOpen Access

Development and validation of predictive regression model for Brown planthopper population in rice

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Authors

SRS. RajnaAVAmit K. VishwakarmaVPVinod K. Padala

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Overview

Multilinear regression model predicts brown planthopper infestations in rice, indicating weather parameters' crucial role.

Key Points

  • Significant negative correlations between brown planthopper population and minimum temperature in early and normal transplanted rice.
  • Model validation for 2022 and 2023 showed satisfactory accuracy for early and normal transplanting, but lower for late transplanting.
  • Weather parameters such as humidity and sunshine hours significantly influence brown planthopper infestations in rice.
  • Integration of pest management strategies with weather conditions is essential for effective mitigation of brown planthopper impacts.

Cite This Study

Rajna et al. (2025) studied this question.

synapsesocial.com/papers/68c1840e9b7b07f3a06108bbhttps://doi.org/10.22438/jeb/46/5/mrn-5381
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