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Soil color for the identification of areas with different yield potential and coffee quality

dc.contributor.authorBaldo do Carmo, Danilo Almeida [UNESP]
dc.contributor.authorMarques Junior, Jose [UNESP]
dc.contributor.authorSiqueira, Diego Silva [UNESP]
dc.contributor.authorRabelo de Souza Bahia, Angelica Santos [UNESP]
dc.contributor.authorSantos, Henrique Menezes [UNESP]
dc.contributor.authorPollo, Gustavo Zanetti
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionGrp Cambuhy Agr
dc.date.accessioned2018-11-26T17:10:40Z
dc.date.available2018-11-26T17:10:40Z
dc.date.issued2016-09-01
dc.description.abstractThe objective of this work was to verify soil color effectiveness for the identification of areas with different yield potentials and coffee quality, in an Ultisol developed from sandstone, in Planalto Ocidental Paulista, in the state of Sao Paulo, Brazil. One hundred seventy-three samples were collected from 39 ha, for the determination of hue, value, chroma, and the soil redness index, based on data of diffuse reflectance spectroscopy (DRS). Productivity and quality of coffee fruit were also evaluated, and the leaf diagnosis index (DRIS) was calculated. The highest spatial correlation, observed in the cross variogram, occurred between hue and DRIS in points up to 497 m apart. The lowest spatial correlation was observed for chroma and production, in points spaced by up to 207 m. The areas with the highest yield potential (20 to 33 bags per hectare) showed hue between 6.99 and 7.06, croma between 5.00 and 5.08, and value between 4.40 and 4.45. The areas with the lowest productivity potential (3 to 7 bags per hectare) showed hue between 7.27 and 7.68, chroma between 5.20 and 5.28, and value between 4.51 and 4.67. In these places, clay content was of 16 g kg(-1), P levels varied between 65 and 75 mg dm(-3), and the sum of bases was between 56 and 58 mmol(c) dm(-3). The use of the color determined by DRS is effective to identify areas with different productive potentials and coffee quality, with 61 to 97% accuracy.en
dc.description.affiliationUniv Estadual Paulista, Fac Ciencias & Agr Vet, Dept Solos & Adubos, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationGrp Cambuhy Agr, Rodovia Whashington Luiz,Km 307-3, BR-5995900 Matao, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Fac Ciencias & Agr Vet, Dept Solos & Adubos, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP, Brazil
dc.format.extent1261-1271
dc.identifierhttp://dx.doi.org/10.1590/S0100-204X2016000900026
dc.identifier.citationPesquisa Agropecuaria Brasileira. Brasilia Df: Empresa Brasil Pesq Agropec, v. 51, n. 9, p. 1261-1271, 2016.
dc.identifier.doi10.1590/S0100-204X2016000900026
dc.identifier.fileS0100-204X2016000901261.pdf
dc.identifier.issn0100-204X
dc.identifier.scieloS0100-204X2016000901261
dc.identifier.urihttp://hdl.handle.net/11449/162169
dc.identifier.wosWOS:000388061600029
dc.language.isopor
dc.publisherEmpresa Brasil Pesq Agropec
dc.relation.ispartofPesquisa Agropecuaria Brasileira
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectCoffea arabica
dc.subjectsoil color
dc.subjectgeostatistics
dc.subjectpedometrics
dc.titleSoil color for the identification of areas with different yield potential and coffee qualityen
dc.typeArtigo
dcterms.rightsHolderEmpresa Brasil Pesq Agropec
dspace.entity.typePublication
unesp.author.orcid0000-0003-3339-1143[3]
unesp.departmentSolos e Adubos - FCAVpt

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