Título:	Spatial distribution of agronomic attributes of corn plants in integrated production systems in Brazilian Amazonia.
Autor:	FEITOSA, I. de L. OLIVEIRA, M. S. de PASSOS, A. M. A. dos CIPRIANI, H. N.
Afiliación:	IZABELA DE LIMA FEITOSA, INSTITUTO NACIONAL DE PESQUISA DA AMAZÔNIA; MARCELO SILVA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE LAVRAS; ALEXANDRE MARTINS ABDAO DOS PASSOS, CNPMS; HENRIQUE NERY CIPRIANI, CPAF-RO.
Año:	2022
Referencia:	International Journal of Advanced Engineering Research and Science, v. 9, n. 12, p. 382-388, 2022.
Descripción:	Crop-livestock-forest systems are a sustainable production alternative based on the integration of several components and configurations that increase the complexity of management and soil-plant relationships. The aim of this study was to investigate the spatial distribution of many agronomic characteristics of maize intercropped with grass (Urochloa brizantha 'Xaraés') in an integrated crop-livestock and crop-livestock-forest system. To assess the yield components of maize intercropped with grass, 120 plant samples were collected in a normal 30 x 30 m grid at 120 positions. The GeoR software was used to perform for geostatistical and Kriging analyses. There were found spatial dependencies in ear insertion height, number of kernels per row, number of kernel rows per ear, ear length, and ear diameter. In the crop-livestock-forest systems, we detected geographical variation in corn plant characteristics, although with a weak spatial relationship. The observed wavy pattern illustrates the sensitivity of corn characteristics to the presence of eucalyptus trees. To increase maize yield components in crop-livestock-forest systems in the southwestern region of the Amazon, 42-meter-wide tree strips are suggested
NAL Thesaurus:	Geostatistics Kriging Soil fertility Precision agriculture
Palabras clave:	No-tillage system
DOI:	https://dx.doi.org/10.22161/ijaers.912.42
Tipo de Material:	Artigo de periódico
Acceso:	openAccess
Aparece en las colecciones:	Artigo em periódico indexado (CNPMS)