Spatial variability of physical atributes of a Spodosol and sugarcane yield

ABSTRACT Agricultural practices promote alterations in the physical properties of the soil, causing changes in its bulk density, porosity, distribution of pore diameter and water retention, which influences the availability to the plants. Precision agriculture acts as a tool that assists in soil man...

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Main Authors: Diego H. S. de Souza, Ênio F. de F. e Silva, Antonio Paz-González, Glécio M. Siqueira, Jucicléia S. da Silva, Daniel da C. Dantas
Format: Article
Language:English
Published: Universidade Federal de Campina Grande 2023-03-01
Series:Revista Brasileira de Engenharia Agrícola e Ambiental
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000700521&lng=en&tlng=en
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author Diego H. S. de Souza
Ênio F. de F. e Silva
Antonio Paz-González
Glécio M. Siqueira
Jucicléia S. da Silva
Daniel da C. Dantas
author_facet Diego H. S. de Souza
Ênio F. de F. e Silva
Antonio Paz-González
Glécio M. Siqueira
Jucicléia S. da Silva
Daniel da C. Dantas
author_sort Diego H. S. de Souza
collection DOAJ
description ABSTRACT Agricultural practices promote alterations in the physical properties of the soil, causing changes in its bulk density, porosity, distribution of pore diameter and water retention, which influences the availability to the plants. Precision agriculture acts as a tool that assists in soil management, favoring agricultural yield. The objective of this study was to evaluate the influence of the spatial variability of the physical attributes of a Spodosol on sugarcane yield. Soil sampling and crop yield evaluations were performed at 90 randomly chosen points in the experimental area. Disturbed and undisturbed samples were collected in the soil layers of 0.00-0.20 and 0.20-0.40 m to analyze the attributes: particle size, bulk density, field capacity, total porosity, macroporosity and microporosity. The highest sugarcane yields were observed in regions with more aerated soil, with lower bulk density and higher total porosity, and with greater water retention capacity in the 0.00-0.20 m layer. It was not possible to detect spatial dependence for the granulometric fractions of the soil with the sampling scheme used, except for the clay in the 0.20-0.40 m layer. The spherical model was the one that best fitted to the set of data of the studied variables.
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spelling doaj-art-b808fb162d174b1eacbb9c99ec47184b2025-08-20T02:02:41ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292023-03-0127752153010.1590/1807-1929/agriambi.v27n7p521-530Spatial variability of physical atributes of a Spodosol and sugarcane yieldDiego H. S. de Souzahttps://orcid.org/0000-0002-2125-6553Ênio F. de F. e Silvahttps://orcid.org/0000-0002-8652-503XAntonio Paz-Gonzálezhttps://orcid.org/0000-0001-6318-8117Glécio M. Siqueirahttps://orcid.org/0000-0002-3513-2658Jucicléia S. da Silvahttps://orcid.org/0000-0003-3409-0326Daniel da C. Dantashttps://orcid.org/0000-0002-2459-9877ABSTRACT Agricultural practices promote alterations in the physical properties of the soil, causing changes in its bulk density, porosity, distribution of pore diameter and water retention, which influences the availability to the plants. Precision agriculture acts as a tool that assists in soil management, favoring agricultural yield. The objective of this study was to evaluate the influence of the spatial variability of the physical attributes of a Spodosol on sugarcane yield. Soil sampling and crop yield evaluations were performed at 90 randomly chosen points in the experimental area. Disturbed and undisturbed samples were collected in the soil layers of 0.00-0.20 and 0.20-0.40 m to analyze the attributes: particle size, bulk density, field capacity, total porosity, macroporosity and microporosity. The highest sugarcane yields were observed in regions with more aerated soil, with lower bulk density and higher total porosity, and with greater water retention capacity in the 0.00-0.20 m layer. It was not possible to detect spatial dependence for the granulometric fractions of the soil with the sampling scheme used, except for the clay in the 0.20-0.40 m layer. The spherical model was the one that best fitted to the set of data of the studied variables.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000700521&lng=en&tlng=enprecision agriculturespatial dependencegeostatisticssoil physics
spellingShingle Diego H. S. de Souza
Ênio F. de F. e Silva
Antonio Paz-González
Glécio M. Siqueira
Jucicléia S. da Silva
Daniel da C. Dantas
Spatial variability of physical atributes of a Spodosol and sugarcane yield
Revista Brasileira de Engenharia Agrícola e Ambiental
precision agriculture
spatial dependence
geostatistics
soil physics
title Spatial variability of physical atributes of a Spodosol and sugarcane yield
title_full Spatial variability of physical atributes of a Spodosol and sugarcane yield
title_fullStr Spatial variability of physical atributes of a Spodosol and sugarcane yield
title_full_unstemmed Spatial variability of physical atributes of a Spodosol and sugarcane yield
title_short Spatial variability of physical atributes of a Spodosol and sugarcane yield
title_sort spatial variability of physical atributes of a spodosol and sugarcane yield
topic precision agriculture
spatial dependence
geostatistics
soil physics
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662023000700521&lng=en&tlng=en
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