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Spatial analysis of factors influencing bacterial leaf blight in rice production.
Ahmad, T M; Haider, M S; Randhir, T O; Randhir, R; Ahmad, S R.
Afiliação
  • Ahmad TM; University of the Punjab, Faculty of Agricultural Sciences, Lahore, Pakistan.
  • Haider MS; University of the Punjab, Faculty of Agricultural Sciences, Lahore, Pakistan.
  • Randhir TO; University of Massachusetts, College of Natural Sciences, Department of Environmental Conservation, Amherst, MA, USA.
  • Randhir R; Springfield Technical Community College, Department of Biological Sciences, Springfield, MA, USA.
  • Ahmad SR; University of the Punjab, College of Earth and Environmental Sciences, Lahore, Pakistan.
Braz J Biol ; 83: e264249, 2023.
Article em En | MEDLINE | ID: mdl-36946787
Xanthomonas oryzae pv. oryzae (Xoo) causes bacterial leaf blight that is a major threat to rice production. Crop losses in extreme situations can reach up to75%, and millions of hectares of rice are affected each year. Management of the disease required information about the spatial distribution of BLB incidence, severity, and prevalence. In this study, major rice-growing areas of Pakistan were surveyed during 2018-2019 for disease occurrence, and thematic maps were developed using geographic information system (GIS). Results showed that Narowal district had highest percentage of disease incidence (54-69%), severity (42-44%), and prevalence (72-90%) meanwhile Jhung district had the lowest incidence (21-23%), severity (18-22%), and prevalence (45-54%). To understand the environmental factors contributing to this major rice disease, the research analyze, the spatial relationships between BLB prevalence and environmental variables. Those variables include relative humidity (RH), atmospheric pressure (A.P), minimum temperature, soil organic carbon, soil pH, and elevation, which were evaluated by using GIS-based Ordinary Least Square (OLS) spatial model. The fitted model had a coefficient of determination (R2) of 65 percent explanatory power of disease development. All environmental variables showed a general trend of positive correlation between BLB prevalence and environmental variables. The results show the potential for disease management and prediction using environmental variable and assessment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Braz J Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Brasil
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza Tipo de estudo: Prognostic_studies / Risk_factors_studies País/Região como assunto: Asia Idioma: En Revista: Braz J Biol Assunto da revista: BIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Paquistão País de publicação: Brasil