Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28449
metadata.artigo.dc.title: Geostatistical analysis of the spatial variation of the berry borer and leaf miner in a coffee agroecosystem
metadata.artigo.dc.creator: Alves, Marcelo de Carvalho
Silva, Fabio Moreira da
Moraes, Jair Campos de
Pozza, Edson Ampélio
Oliveira, Marcelo Silva de
Souza, Júlio César Silva de
Alves, Luciana Sanches
metadata.artigo.dc.subject: Coffee – Diseases and pests – Spatial distribution
Plant diseases – Statistical methods
Geology – Statistical methods
Café – Doenças e pragas – Distribuição espacial
Fitopatologia – Métodos estatísticos
Geologia – Métodos estatísticos
Hypothenemus hampei
Leucoptera coffeella
metadata.artigo.dc.publisher: Springer
metadata.artigo.dc.date.issued: Feb-2011
metadata.artigo.dc.identifier.citation: ALVES, M. de C. et al. Geostatistical analysis of the spatial variation of the berry borer and leaf miner in a coffee agroecosystem. Precision Agriculture, [Dordrecht], v.12, n. 1, p. 18-31, Feb. 2011.
metadata.artigo.dc.description.abstract: The advent of geostatistics and geographical information systems has made it possible to analyze complex spatial patterns of ecological phenomena over large areas in applied insect ecology and pest management. The objective of this study was to use geostatistics to characterize the spatial structure and map the spatial variation of damage caused by the berry borer (Hypothenemus hampei) and leaf miner (Leucoptera coffeella) in a coffee agroecosystem planted with the cultivar Catuai Vermelho IAC-99. Infestations of berry borer and leaf miner were evaluated in fruits and leaves, respectively. The pests were monitored at 67 georeferenced points in an area of 6.6 ha in 2005, 2006 and 2007. Variograms estimated by the method of moments (MoM) and residual maximum likelihood REML were compared. The latter were generally better in terms of the kriging error coefficients. Spherical variograms estimated by REML for berry borer infestation in fruits had ranges of spatial dependence of 34.62–118.4 m and for the leaf miner they were 53.93–133.7 m. For models fitted by weighted ordinary least squares (OLS) to the MoM experimental variogram, the ranges varied between 37.22 and 68.67 m for the berry borer and 100 and 155.4 m for leaf miner infestation. The variogram model parameters were used with the data for ordinary kriging to map the spatial variation of coffee pests for different monitoring periods. If there was no suitable variogram, inverse distance weighting was used to map the variation. The maps enabled visualization of the intensity of infestation of the insect pests for the different periods evaluated.
metadata.artigo.dc.identifier.uri: https://link.springer.com/article/10.1007/s11119-009-9151-z
http://repositorio.ufla.br/jspui/handle/1/28449
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos
DFP - Artigos publicados em periódicos

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