Modeling spatial variability and pattern of rust and brown eye spot in coffee agroecosystem |
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Authors: | Marcelo de Carvalho Alves Fábio Moreira da Silva Edson Ampélio Pozza Marcelo Silva de Oliveira |
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Institution: | (1) Department of Soil and Rural Engineering, Faculty of Agronomy and Veterinary Medicine, Federal University of Mato Grosso, Av. Fernando Correa da Costa S/N, Coxipo District, Cuiabá, MT, 78060-900, Brazil;(2) Engineering Department, Campus of Federal University of Lavras (UFLA), cx. 3037, Lavras, MG, cep 37200-000, Brazil;(3) Department of Phytopathology, UFLA, cx. 3037, Lavras, MG, cep 37200-000, Brazil;(4) Department of Exact Sciences, UFLA, cx. 3037, Lavras, MG, cep 37200-000, Brazil |
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Abstract: | The advent of Precision Agriculture has made possible the analysis of complex spatial patterns of plant disease epidemiology
considering statements of integrated disease management. The objective of this work was to use geostatistics, statistics and
geographical information systems to characterize the structure and magnitude of spatial dependency of rust (Hemileia vastatrix) and brown eye spot (Cercospora coffeicola) incidence and severity in coffee agroecosystem cultivated with Catuai Vermelho IAC-99 (Coffea arabica L.). Evaluations of incidence and severity of rust and brown eye spot were accomplished at 67 georeferenced points arranged
in 6.6202 ha of coffee crop, in the years of 2005, 2006 and 2007. Exponential models of covariance enabled the characterization
of the magnitude and structure of rust and brown eye spot spatial variability in the evaluated dates. Ordinary block kriging
presented satisfactory performance to map rust and brown eye spot outbreaks based on kriging error coefficients. Kriged maps
enabled the visualization of intensity of rust and brown eye spot in each evaluation date. Assessments of incidence and severity
presented highly statistical correlation based on linear regression models, also confirmed by the spatial variability of kriging
maps. Kriging maps of rust and brown eye spot enabled to observe that intensity of disease was dispersed in foci patterns
along the coffee plantation, indicating that the current strategy of disease control based in total area may be replaced by
site specific disease management, with less environmental impact and sustainability of coffee crop, according to statements
of integrated disease management and precision agriculture. |
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Keywords: | Cercospora coffeicola Disease Hemileia vastatrix Ordinary kriging Precision agriculture Plant protection |
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