Research Articles
Vol. 13 No. sp9 (2026): Recent Advances in Agriculture
Impact of weather parameters on the progression of bakanae disease (Fusarium moniliforme Sheldon) in aromatic rice (Oryza sativa L.) in the north-western region of Haryana, India
Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125 004, Haryana, India
College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Kaul 136 021, Kaithal, Haryana, India
Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125 004, Haryana, India
Cotton Research Station, Chaudhary Charan Singh Haryana Agricultural University, Sirsa 125 055, Haryana, India
Department of Genetics and Plant Breeding, Chaudhary Charan Singh Haryana Agricultural University, Hisar 125 004, Haryana, India
Abstract
Various biotic constraints affect the cultivation of aromatic rice in India, especially in the North-West Plain Zone and bakanae disease is responsible for high economic losses ranging from 3.0–95.4 %. It occurs in Haryana and the adjoining states, particularly in early-transplanted rice crops. Weather influences all stages of the host and pathogen life cycle, as well as disease progression. To manage and forecast bakanae disease, it is important to understand the interaction between the host, pathogen and environment. Therefore, the present study was undertaken at Chaudhary Charan Singh Haryana Agricultural University, Rice Research Station, Kaul, Kaithal, during kharif 2021 and 2022 to study the effect of weather parameters viz., maximum and minimum temperatures (°C; Tmax and Tmin), relative humidity in the morning and evening (%; RHM and RHE), rainfall (mm), wind velocity (km/hr) and bright sunshine (hr) on bakanae disease progression in basmati rice varieties PB 1121 and CSR 30. Accordingly, bakanae disease incidence across both seasons and pooled data progressively increased from the 28th to the 39th standard meteorological week (SMW), with PB 1121 showing higher susceptibility [19.1–34.6 % disease incidence (DI)] than CSR 30 (15.0–28.8 % DI). Peak disease incidence was observed under Tmax of around 33.6–37.7 °C, RHM of 94.9–97.6 % and low wind velocity of 2.0–2.5 km hr-1. The RHM showed a significant positive correlation with disease incidence (r = 0.754–0.851), whereas minimum temperature (r = −0.722 to −0.857) and wind velocity (r = −0.659 to −0.789) exhibited significant negative correlations. Multiple regression analysis revealed high coefficients of determination (R² = 0.85–0.99), indicating a strong influence of weather parameters on bakanae disease progression. Ultimately, these results establish predictable weather thresholds that enable early warning systems to protect susceptible basmati rice varieties from economic losses.
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