Título:	Soil physical attributes for discriminating soybean yield-based management zones.
Autor:	SACALON, L. Q. FLORA, D. P. D. CORTEZ, J. W. TOMAZI, M. SCHWAMBACH, D. A.
Afiliación:	LOURENÇO Q. SCALON, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; DIANDRA P. D. FLORA, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; JORGE W. CORTEZ, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS; MICHELY TOMAZI, CPAO; DARIO A. SCHWAMBACH, UNIVERSIDADE FEDERAL DA GRANDE DOURADOS, DOURADOS.
Año:	2026
Referencia:	Revista Brasileira de Engenharia Agrícola e Ambiental, v. 30, n. 5, e302513, 2026.
Descripción:	This study aimed to identify soil physical attributes most effective in discriminating management zones associated with soybean yield across three consecutive growing seasons. The research was conducted on a commercial farm managed under a long-term no-tillage system for more than 30 years, using a 73-point georeferenced sampling grid. Soil attributes analyzed included clay, silt, sand, microporosity, aggregate stability index, organic matter, bulk density, degree of flocculation, mean weight diameter of aggregates, depth to maximum penetration resistance, and water-dispersible clay. Soybean yield data were obtained from a calibrated yield monitor installed on a combine harvester. Data analysis involved geostatistical procedures and spatial interpolation using ordinary kriging, followed by delineation of two management zones based on the Fuzzy performance index and Normalized classification entropy. Integration of soil physical attributes with multi-season yield data proved effective and reliable for defining management zones. The high-yield zone was characterized by higher clay and silt contents, organic matter, water-dispersible clay, and microporosity, which showed positive correlations with yield. In contrast, higher sand content and greater depth to maximum penetration resistance were associated with the low-yield zone and exhibited negative correlations with soybean yield. These results indicate that combining soil physical properties with multitemporal yield data enables identification of consistent spatial patterns, supporting development of site-specific management strategies in soybean production systems
Thesagro:	Matéria Orgânica Solo
Palabras clave:	Agricultua de precisão Geoestatística
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CPAO)