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Delineation of specific management areas for coffee cultivation based on the soil-relief relationship and numerical classification

dc.contributor.authorSanchez, Maria Gabriela Baracat [UNESP]
dc.contributor.authorMarques Jr., José [UNESP]
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.authorCamargo, Livia Arantes [UNESP]
dc.contributor.authorPereira, Gener Tadeu [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:27:27Z
dc.date.available2014-05-27T11:27:27Z
dc.date.issued2013-01-01
dc.description.abstractPredicting and mapping productivity areas allows crop producers to improve their planning of agricultural activities. The primary aims of this work were the identification and mapping of specific management areas allowing coffee bean quality to be predicted from soil attributes and their relationships to relief. The study area was located in the Southeast of the Minas Gerais state, Brazil. A grid containing a total of 145 uniformly spaced nodes 50 m apart was established over an area of 31. 7 ha from which samples were collected at depths of 0. 00-0. 20 m in order to determine physical and chemical attributes of the soil. These data were analysed in conjunction with plant attributes including production, proportion of beans retained by different sieves and drink quality. The results of principal component analysis (PCA) in combination with geostatistical data showed the attributes clay content and available iron to be the best choices for identifying four crop production environments. Environment A, which exhibited high clay and available iron contents, and low pH and base saturation, was that providing the highest yield (30. 4l ha-1) and best coffee beverage quality (61 sacks ha-1). Based on the results, we believe that multivariate analysis, geostatistics and the soil-relief relationships contained in the digital elevation model (DEM) can be effectively used in combination for the hybrid mapping of areas of varying suitability for coffee production. © 2012 Springer Science+Business Media New York.en
dc.description.affiliationDept. Solos e Adubos, Faculdade de Ciências Agrárias e Veterinárias Unesp - Univ Estadual Paulista, Campus de Jaboticabal, Jaboticabal, SP, 14870-900
dc.description.affiliationDept. Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias Unesp - Univ Estadual Paulista, Campus de Jaboticabal, Jaboticabal, SP, 14870-900
dc.description.affiliationUnespDept. Solos e Adubos, Faculdade de Ciências Agrárias e Veterinárias Unesp - Univ Estadual Paulista, Campus de Jaboticabal, Jaboticabal, SP, 14870-900
dc.description.affiliationUnespDept. Ciências Exatas, Faculdade de Ciências Agrárias e Veterinárias Unesp - Univ Estadual Paulista, Campus de Jaboticabal, Jaboticabal, SP, 14870-900
dc.format.extent201-214
dc.identifierhttp://dx.doi.org/10.1007/s11119-012-9288-z
dc.identifier.citationPrecision Agriculture, v. 14, n. 2, p. 201-214, 2013.
dc.identifier.doi10.1007/s11119-012-9288-z
dc.identifier.issn1385-2256
dc.identifier.lattes7053426037771460
dc.identifier.scopus2-s2.0-84874709313
dc.identifier.urihttp://hdl.handle.net/11449/74143
dc.identifier.wosWOS:000316021700006
dc.language.isoeng
dc.relation.ispartofPrecision Agriculture
dc.relation.ispartofjcr2.435
dc.relation.ispartofsjr0,778
dc.rights.accessRightsAcesso restrito
dc.sourceScopus
dc.subjectDrink quality
dc.subjectMultivariate analysis
dc.subjectSpatial variability
dc.subjectclassification
dc.subjectclay
dc.subjectcoffee
dc.subjectcrop production
dc.subjectcrop yield
dc.subjectcultivation
dc.subjectdata interpretation
dc.subjectdigital elevation model
dc.subjectfood industry
dc.subjectgeostatistics
dc.subjectiron
dc.subjectmapping
dc.subjectmultivariate analysis
dc.subjectnumerical method
dc.subjectphysicochemical property
dc.subjectprecision agriculture
dc.subjectprincipal component analysis
dc.subjectrelief
dc.subjectsoil property
dc.subjectspatial variation
dc.subjectBrazil
dc.subjectMinas Gerais
dc.titleDelineation of specific management areas for coffee cultivation based on the soil-relief relationship and numerical classificationen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights
dspace.entity.typePublication
unesp.author.lattes7053426037771460
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt
unesp.departmentCiências Exatas - FCAVpt
unesp.departmentSolos e Adubos - FCAVpt

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