Work

Weather-based forecasting models for false smut disease of rice (Oryza sativa L.) in West Bengal

Year: 2025

Type: article

Abstract: To evaluate the effect of weather parameters and develop prediction models for rice false smut disease, metrological data were obtained from the Department of Agricultural Meteorology, Bidhan Chandra Krishi Vishwavidyalaya.The temporal dynamics of disease development were modelled using three non-linear growth models i.e., Logistic, Gompertz, and Monomolecular and compared against a Multiple Linear Regression (MLR) model.

Source: Journal of Agrometeorology

DOI: 10.54386/jam.v27i3.2913

Authors: SUKRAM THAPA, SUNITA MAHAPATRA, DEEWAKAR BARAL, ACHAL LAMA, PRAVALLIKAREE RAYANOOTHALA, BIKASH SUBBA, SRIKANTA DAS

Institutions: Lovely Professional University, Bidhan Chandra Krishi Viswavidyalaya, Indian Agricultural Statistics Research Institute, Centurion University of Technology and Management

Language: English

Topic: Climate change impacts on agriculture

Subfield: Ecology, Evolution, Behavior and Systematics

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: diamond

OpenAlex ID: W4413866085

FWCI: 0.958

Cites:

Cited by: 1

Related to: 10