Análise multivariada na diferenciaçãoentre manejos de solos cultivados com café

• Autor(a) principal: Silva, Alessandra Fagioli da [UNESP]
• Data de Publicação: 2014
• Outros Autores: Barbosa, Ana Paula [UNESP], Zimback, Celia Regina Lopes [UNESP], Lima, Julião Soares de Souza, Landim, Paulo Milton Barbosa [UNESP]
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.17224/EnergAgric.2014v29n1p57-63; http://hdl.handle.net/11449/137627
• topic: Organic management; Principal component analysis; Kriging.; Manejo orgânico; Análise de componentes principais; Krigagem.

The goal of this study was to identify the differences between two soil management systems of arabica coffee plantations using geostatistics. Soil samples were collected in two coffee plantations under organic and conventional management systems in two georeferenced grid. For chemical analysis of pH, potassium (K), phosphorus (P), calcium (Ca), magnesium (Mg) and aluminum (Al), organic carbon total (OCT), water-soluble carbon (WSC) and CO2 evolution (CO2 Ev.) , data were collected for each management system in 40 points, in the depth of 0 – 0.10 meters,. The multivariate analysis was performed with the method of principal components analysis (PCA) involving all the variables under study. The geostatistical analysis was applied to determine the theoretical models of variograms and data interpolation, generated by PCA. In the organic management, the attributes are better correlated than in the conventional management. For both managements, the attributes with the highest weight factor in component 1 are pH, base saturation, and organic matter and in component 2, water soluble.