dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:30:24Z
dc.date.available2014-05-20T13:30:24Z
dc.date.created2014-05-20T13:30:24Z
dc.date.issued2012-01-01
dc.identifierSemina-ciencias Agrarias. Londrina: Universidade Estadual de Londrina (UEL), v. 33, n. 2, p. 541-552, 2012.
dc.identifier1676-546X
dc.identifierhttp://hdl.handle.net/11449/10329
dc.identifier10.5433/1679-0359.2012v33n2p541
dc.identifierWOS:000307002600011
dc.identifierWOS000307002600011.pdf
dc.description.abstractThe soybean is the crop most cultivated in Brazil, with great socioeconomic importance. In the agriculture year 2008/09 in Selviria County, Mato Grosso do Sul State, in the Brazilian Savannah, was analyzed the production components and the soybean yield cultivated in a Typic Acrustox on no-tillage. The main purpose objective was select among the production components number of pods per plant, number of grains per pod, number of grains per plant, mass of a thousand grains, mass of grains per plant and population of plants, which of the best linear and spatial correlation aiming explain the soybean yield variability. The irregular geostatistical grid was installed to collect of data, with 120 sampling points, in an area of 8.34 ha. The values of spatial dependence range to be utilized should be among 38.1 and 114.7 meters. The model of the adjusted semivariograma was predominantly the spherical. of the lineal and spatial point of view, the number of pods per plant and the mass of grains per plant they were correlated in a direct way with the soybean yield, demonstrating be the best components to esteem her.
dc.languagepor
dc.publisherUniversidade Estadual de Londrina (UEL)
dc.relationSemina: Ciências Agrárias
dc.relation0.349
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectPrecision agriculture
dc.subjectgeoestatistics
dc.subjectGlycine max
dc.subjectspatial variability
dc.titleCorrelação linear e espacial dos componentes de produção e produtividade da soja
dc.typeArtículos de revistas


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