Effect of meteorological parameters on Karnal bunt incidence in wheat
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Date
2021
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Punjab Agricultural University, Ludhiana
Abstract
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.
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Citation
Attri, Anurag (2021). Effect of meteorological parameters on Karnal bunt incidence in wheat (Unpublished M.Sc. thesis). Punjab Agricultural University, Ludhiana, Punjab, India.