Analysis of the correlation of soil physical attributes with maize grain yield components in different cultivation systems

The aim of this work was to analyze the correlation soil physical attributes of the soil with the components of maize grain yield in minimum tillage, conventional tillage and no-tillage systems. An experimental area of ​​approximately 2.13 ha was used, subdivided into three parts, each one receiving...

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Detalles Bibliográficos
Autores: Adão, Alexandre da Silva, Fernandes, Haroldo Carlos, Santos, Nerilson Terra, Martins, Frederico Cássio Moreira, Pereira, Priscila Souza, Souza, Lucas Moraes Rufini de, Oliveira, Zenil Ricardo Cunha Rodrigues de
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:Brasil
Institución:Universidade Federal de Itajubá (UNIFEI)
Repositorio:Research, Society and Development
Idioma:portugués
OAI Identifier:oai:ojs.pkp.sfu.ca:article/26059
Acceso en línea:https://rsdjournal.org/index.php/rsd/article/view/26059
Access Level:acceso abierto
Palabra clave:Zea mays L.
Geoestadística
Labranza mínima
Labranza convencional
Labranza cero.
Geoestatística
Cultivo mínimo
Preparo convencional
Plantio direto.
Geostatistics
Minimum tillage
Conventional tillage
No-tillage.
Descripción
Sumario:The aim of this work was to analyze the correlation soil physical attributes of the soil with the components of maize grain yield in minimum tillage, conventional tillage and no-tillage systems. An experimental area of ​​approximately 2.13 ha was used, subdivided into three parts, each one receiving a soil management system. At least 150 points were georeferenced in each of the three sub-areas, using an irregular grid, and simple and deformed soil samples were collected at these points. At the defined points, the following attributes were evaluated: gravity moisture, soil density, particle density, total porosity and texture. To evaluate the components of maize yield, the following were measured: number of rows per cob, number of grains per row, number of grains per cob, weight of grains per cob and weight of thousand grains in the sample. Person correlation analysis and geostatistical analysis were performed. The crossed semivariograms satisfactorily reproduced the behavior of the attributes that presented spatial dependence in the same pattern as the simple semivariograms, allowing its use to estimate the weight of grains per maize.