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Subject: Agricultural Meteorology × Author: Attri, Anurag × End date: 2023 × Start date: 2020 ×
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    ThesisItemOpen Access
    Effect of meteorological parameters on Karnal bunt incidence in wheat
    (Punjab Agricultural University, Ludhiana, 2021) Attri, Anurag; Sandhu, Sarabjot Kaur
    The present study on “Effect of meteorological parameters on Karnal bunt incidence in wheat” was conducted during Rabi 2019-20 at Research Farm, Department of Climate Change and Agricultural Meteorology, PAU Ludhiana. The experiment was conducted under factorial split plot design with 6 replications having three dates of sowing (20th October, 5th November and 20th November) and two method of cultivation (recommended cultivation and additional leaf wetness) in main plots and three varieties (Unnat PBW 343, PBW 725 and HD 2967) in sub plots. Artificial inoculations were carried out at booting stage of the crop and incidence of Karnal bunt was recorded at time of harvesting. The maximum disease incidence (22.15%) was observed in 5th November sown crop followed by 20th November (19.64%) and 20th October (16.03%) sown crop. Maximum incidence was observed in variety PBW 725 (26.52%) followed by HD 2967 (19.77%) and Unnat PBW 343 (11.54%). Additional leaf wetness resulted in higher disease incidence (26.99%) as compared to recommended cultivation (11.56%). Relative humidity inside crop canopy and canopy temperature showed 71 and 65 per cent variability in disease incidence, respectively. Among micrometeorological parameters, PAR interception (82.9 %) and relative humidity (55.5%) was maximum in 20th October sown crop, while temperature inside the canopy (25.3ºС) and canopy temperature (22.4ºС) was maximum in 20thNovember sowing. The grain yield was maximum (47.9 q/ha) in 20th October sowing followed by 5th November (45.0 q/ha) and 20th November (42.4 q/ha) sown crop. Percentage of yield losses due to Karnal bunt was 2.26, 1.88 and 1.46 per cent in 5th November, 20th November and 20th October sowing, respectively. Forewarning model for Karnal bunt was developed for Ludhiana and Bathinda district by using eleven and nine year historical data of the respective location. Correlation coefficients and step wise regression models developed from disease and weather data showed that evening relative humidity and rainfall showed significant positive correlation with disease incidence and infection in Ludhiana district, while morning relative humidity and rainfall had significant positive correlation in Bathinda district. Step wise regression indicated up to 91 and 97 per cent variability in disease development in Ludhiana and Bathinda district respectively.