SOIL ORGANIC MATTER FRACTIONS AND MULTIVARIATE ANALYSIS IN THE DEFINITION OF PASTURE MANAGEMENT ZONES

• Autor(a) principal: Silva,Eudocio R. O. da
• Data de Publicação: 2022
• Outros Autores: Pereira,Marcos G., Barros,Murilo M. de, Santos,Luise M. M. dos, Gomes,João H. G.
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Engenharia Agrícola
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162022000600204
• topic: geoestatistic; humic substances; k-means clustering; precision agriculture; Tifton 85

ABSTRACT The use of Precision Agriculture tools and soil attributes has contributed to local agricultural management in the identification of different productive potentials and quality of pastures. The present study aimed to use Precision Agriculture tools to investigate the spatial variability of soil organic matter fractions and soil chemical and physical attributes and to delineate management zones in pasture soils cultivated under tropical conditions. The study was conducted on a hay production farm located in Seropédica, Brazil. Fifty points were collected on a irregular grid and soil samples were taken at depths of 0-0.20 and 0.20-0.40 m and crop productivity was evaluated. Chemical and physical soil organic matter fractionation was performed to obtain data on fulvic acid, humic and humin fractions, mineral-associated and particulate organic carbon, and light organic matter. Geostatistics and multivariate analysis (principal component analysis and k-means clustering) were performed to define the management zones. The results obtained contributed to the division of the pasture area into two regions that can be managed in different ways aiming to increase soil organic matter in a localized manner with the possibility of reducing the use of inputs and directed management that respects the productive potential of the pasture on the farm.