Legume Research
Web of Science
  • Year: 2024
  • Volume: 47
  • Issue: 12

Leveraging extended range weather forecast for groundnut bud necrosis disease forewarning: A data-driven approach

  • Author:
  • G. Senbagavalli1, Ga. Dheebakaran1,*, N.K. Sathyamoorthy1, P. Renukadevi2, Balaji Kannan3, K.P. Ragunath4, S. Kokilavani1
  • Total Page Count: 9
  • Page Number: 2158 to 2166

1Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

2Department of Plant Pathology, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

3Department of Soil and Water Conservation Engineering, Agricultural Engineering College and Research Institute, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

4Centre for Water and Geospatial Studies, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India

*Corresponding Author: Ga. Dheebakaran, Agro Climate Research Centre, Tamil Nadu Agricultural University, Coimbatore-641 003, Tamil Nadu, India, Email: gadheebakaran@tnau.ac.in, Orcids: https://orcid.org/0000-0002-6035-2329, https://orcid.org/0000-0002-0603-192X, https://orcid.org/0000-0002-7296-4808, https://orcid.org/0000-0001-9665-1681, https://orcid.org/0000-0003-2330-0893, https://orcid.org/0000-0002-7851-4437s, https://orcid.org/0000-0003-3548-6146

Online published on 10 June, 2025.

Abstract

Groundnut (Arachis hypogaea L.), a globally prominent oilseed crop, is experiencing significant losses due to the Groundnut Bud Necrosis Virus (GBNV). The extended range weather forecast (ERWF) provides timely weather information and protects crops from weather-induced biotic and abiotic risks.

An ERWF-based GBNV disease forewarning study was conducted at Coimbatore, Tamil Nadu in 2023 and 2024. The ERWF output from Weather Research and Forecasting (WRFv4.4) with two microphysics (WSM3 and Kessler) were leveraged to forewarn the GBNV disease, using the thumb rule as adapted in Tamil Nadu Agricultural University-Agro Advisory Service (TNAU - AAS): Web cum Mobile App, which is maximum temperature (>33°C), relative humidity (40-70%), wind speed (>5 kmph) and rainfall (0 mm).

Among the two microphysics options, the WSM3 performed better and provided more usable ERWF than the Kessler scheme. The WSM3 based ERWF usability percentage was 50 to 100 for rainfall and 80-100 for all other weather variables. The higher performance of ERWF resulted in a more precise forewarning of thrips and GBNV. The first and peak activity of thrips and GBNV incidence was well correlated (70-80%) with the ERWF based forewarning.

Keywords

Epidemiology, Forewarning, Groundnut bud necrosis virus (GBNV), Extended range weather forecast (ERWF), Thrips, WRF