Multivariate analysis of peanut mechanized harvesting

dc.contributor.authorNoronha, Rafael H.F. [UNESP]
dc.contributor.authorZerbato, Cristiano [UNESP]
dc.contributor.authorda Silva, Rouverson P. [UNESP]
dc.contributor.authorOrmond, Antonio T.S. [UNESP]
dc.contributor.authorde Oliveira, Mailson F. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:37:12Z
dc.date.available2018-12-11T17:37:12Z
dc.date.issued2018-03-01
dc.description.abstractThe peanuts harvesting mechanization is affected by the soil physical characteristics and it may increase the losses due to the production of pods in subsurface. The objective of the experiment was to identify the clusters through multivariate exploratory approaches from similarity in six soil textures (very clayey, clayey, silty clayey loam, clayey loam, sandy loam and sandy) in the state of São Paulo, Brazil, determining the main agronomic variables that most influenced the clustering division to assist the decision-making process in peanuts mechanized harvesting. The data were analyzed by the multivariate exploratory that is performed to simplify the description of a set of interrelated variables, using: yield, maturity, soil and pod moisture content, windrow width and height, visible and invisible digging losses, and gathering losses, as agronomic indicators of quality. The low and high clay content were grouped into clusters I and III, respectively, according to the agronomic traits of the peanut crop. The principal components analysis (PC) allowed a single distribution of accesses since only two eigenvalues were higher than one: the highest eigenvalues of 4.51 and 1.79, resulted in a Biplot that explained 70% of the original variability, 50.11% and 19.89% of which in the PC1 and PC2, respectively. The multivariate analysis indicated that high peanut yields in soils with low clay are correlated with the losses during the peanut mechanized harvesting operation.en
dc.description.affiliationSão Paulo State University - UNESP
dc.description.affiliationUnespSão Paulo State University - UNESP
dc.format.extent244-250
dc.identifierhttp://dx.doi.org/10.1590/1809-4430-Eng.Agric.v38n2p244-250/2018
dc.identifier.citationEngenharia Agricola, v. 38, n. 2, p. 244-250, 2018.
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v38n2p244-250/2018
dc.identifier.fileS0100-69162018000200244.pdf
dc.identifier.issn1808-4389
dc.identifier.issn0100-6916
dc.identifier.scieloS0100-69162018000200244
dc.identifier.scopus2-s2.0-85047614963
dc.identifier.urihttp://hdl.handle.net/11449/179897
dc.language.isoeng
dc.relation.ispartofEngenharia Agricola
dc.relation.ispartofsjr0,305
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectArachis hypogaea L.
dc.subjectPrincipal components analysis
dc.subjectSoil textural classes
dc.titleMultivariate analysis of peanut mechanized harvestingen
dc.typeArtigo

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