Development of weather based statistical models for Rhizoctonia aerial blight disease of soybean in Tarai region of Uttarakhand

Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India Corresponding author email: anuragsatpathi50@gmail.com The cultivation of soybean (Glycine max) holds a crucial position in global agriculture, making subst...

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Published inJournal of agrometeorology Vol. 26; no. 2; pp. 268 - 270
Main Authors Nainwal, Mukta, Satpathi, Anurag, Ranjan, Rajeev, Nain, Ajeet Singh
Format Journal Article
LanguageEnglish
Published Anand Association of Agrometeorologist 01.06.2024
Association of agrometeorologists
Subjects
Agriculture
Agrometeorology
Blight
Conflicts of interest
Crop diseases
Crops
Cultivars
Cultivation
Editing
Food industry
Humidity
Maximum temperatures
Rain
Soybeans
Statistical models
Variables
Uttarakhand India
India
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Summary:Department of Agrometeorology, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar-263145, Uttarakhand, India Corresponding author email: anuragsatpathi50@gmail.com The cultivation of soybean (Glycine max) holds a crucial position in global agriculture, making substantial contributions to both the food and industrial sectors. The region's distinctive climate and topography create an intriguing and challenging environment for soybean cultivation, with temperature, humidity, and precipitation acting as pivotal factors influencing disease dynamics. Analysing the positive or negative contributions of the studied meteorological factors to PDI increase, this study corroborates findings by Rini et al., (2017) regarding the inverse relationship between maximum temperature and PDI.
ISSN:0972-1665
2583-2980
DOI:10.54386/jam.v26i2.2530