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dc.contributor.authorWADT, P. G. S.pt_BR
dc.date.accessioned2011-04-10T11:11:11Zpt_BR
dc.date.available2011-04-10T11:11:11Zpt_BR
dc.date.created2007-06-01pt_BR
dc.date.issued2005pt_BR
dc.identifier.citationRevista Brasileira de Ciência do Solo, v. 29, n. 2, p. 227-234, maio/abr. 2005.pt_BR
dc.identifier.issn0100-0683 (impresso)pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/506306pt_BR
dc.descriptionFarm planning requires an assessment of the soil class. Research suggest that the Diagnosis and Recommendation Integrated System (DRIS) has the capacity to evaluate the nutritional status of coffee plantations, regardless of environmental conditions. Additionally, the use of DRIS could reduce the costs for farm planning. This study evaluated the relationship between the soil class and nutritional status of coffee plants (Coffea canephora Pierre) using the Critical Level (CL) and DRIS methods, based on two multivariate statistical methods (discriminant and multidimensional scaling analyses). During three consecutive years, yield and foliar concentration of nutrients (N, P, K, Ca, Mg, S, B, Zn, Mn, Fe and Cu) were obtained from coffee plantations cultivated in Espírito Santo state. Discriminant analysis showed that the soil class was an important factor determining the nutritional status of the coffee plants. The grouping separation by the CL method was not as effective as the DRIS one. The bidimensional analysis of Euclidean distances did not show the same relationship between plant nutritional status and soil class. Multidimensional scaling analysis by the CL method indicated that 93.3 % of the crops grouped into one cluster, whereas the DRIS method split the fields more evenly into three clusters. The DRIS method thus proved to be more consistent than the CL method for grouping coffee plantations by soil class.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCoffeept_BR
dc.subjectCafé Conilonpt_BR
dc.subjectClasses de solospt_BR
dc.subjectMétodo DRISpt_BR
dc.subjectDRIS Methodpt_BR
dc.subjectMétodo do Nível Críticopt_BR
dc.subjectLevel Critical Methodpt_BR
dc.subjectAnálise multivariadapt_BR
dc.subjectAnálisis de multivarianzapt_BR
dc.subjectClasificación de suelospt_BR
dc.subjectEstatus nutricionalpt_BR
dc.subjectNutrición de las plantaspt_BR
dc.subjectAnálisis estadísticopt_BR
dc.titleRelationships between soil class and nutritional status of coffee plantations.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2019-01-07T11:11:11Zpt_BR
dc.subject.thesagroPlanejamento agrícolapt_BR
dc.subject.thesagroCafépt_BR
dc.subject.thesagroCoffea canephorapt_BR
dc.subject.thesagroEstado nutricionalpt_BR
dc.subject.thesagroClassificação do solopt_BR
dc.subject.thesagroAnálise estatísticapt_BR
dc.subject.nalthesaurusPlant nutritionpt_BR
dc.subject.nalthesaurusNutritional statuspt_BR
dc.subject.nalthesaurusSoil classificationpt_BR
dc.subject.nalthesaurusStatistical analysispt_BR
dc.subject.nalthesaurusMultivariate analysispt_BR
riaa.ainfo.id506306pt_BR
riaa.ainfo.lastupdate2019-01-07 -02:00:00pt_BR
dc.identifier.doi10.1590/S0100-06832005000200008.pt_BR
dc.contributor.institutionPAULO GUILHERME SALVADOR WADT, CPAF-AC.pt_BR
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