Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants

The study of the soil fertility spatial variation has grown in importance, in discussions on agricultural management, once the uniform approach of cultivated areas provides inconsistent results, capable of affecting the crops yield. By using multivariate geostatistics methods, this study aimed at ev...

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Main Authors: Samuel de Assis Silva, Julião Soares de Souza Lima
Format: Article
Language:English
Published: Universidade Federal de Goiás 2013-12-01
Series:Pesquisa Agropecuária Tropical
Subjects:
Online Access:https://www.revistas.ufg.br/pat/article/view/20509
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spelling doaj-c1d813979b114e4ba3696cf9e2e24fac2020-11-25T01:44:04ZengUniversidade Federal de Goiás Pesquisa Agropecuária Tropical1983-40632013-12-0143437738410.1590/S1983-40632013000400002Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plantsSamuel de Assis Silva0Julião Soares de Souza Lima1Universidade Estadual de Santa Cruz (UESC), Departamento de Ciências Agrárias e Ambientais, Ilhéus, BA, Brasil.Universidade Federal do Espírito Santo (UFES), Centro de Ciências Agrárias, Departamento de Engenharia Rural, Alegre, ES, Brasil.The study of the soil fertility spatial variation has grown in importance, in discussions on agricultural management, once the uniform approach of cultivated areas provides inconsistent results, capable of affecting the crops yield. By using multivariate geostatistics methods, this study aimed at evaluating the spatial relationship between the stock of nutrients and density of a humic Rhodic Hapludox. The study was conducted in an area cultivated with Coffea arabica L. (Catucaí cultivar), in a sample grid with 100 points. The soil sampling was performed in the 0-0.20 m layer, in order to determine the soil density and the P, K, Ca and Mg contents, which were converted into stock values. After this transformation, the data were analyzed by using descriptive and exploratory statistics, determining the correlation between density and stocks. Then, the univariate and multivariate geostatistics were used, followed by interpolation with ordinary kriging and cokriging. The distribution of nutrients stocks was inversely proportional to the soil density, except for the P stock. The cokriging allowed to characterize the soil, favoring the interpretation of the fertility spatial distribution behavior.https://www.revistas.ufg.br/pat/article/view/20509Coffea arabica L.spatial variabilityprecision agriculturesoil fertilitycokriging
collection DOAJ
language English
format Article
sources DOAJ
author Samuel de Assis Silva
Julião Soares de Souza Lima
spellingShingle Samuel de Assis Silva
Julião Soares de Souza Lima
Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
Pesquisa Agropecuária Tropical
Coffea arabica L.
spatial variability
precision agriculture
soil fertility
cokriging
author_facet Samuel de Assis Silva
Julião Soares de Souza Lima
author_sort Samuel de Assis Silva
title Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
title_short Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
title_full Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
title_fullStr Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
title_full_unstemmed Spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
title_sort spatial relationship between the stock of nutrients and density of a soil cultivated with coffee plants
publisher Universidade Federal de Goiás
series Pesquisa Agropecuária Tropical
issn 1983-4063
publishDate 2013-12-01
description The study of the soil fertility spatial variation has grown in importance, in discussions on agricultural management, once the uniform approach of cultivated areas provides inconsistent results, capable of affecting the crops yield. By using multivariate geostatistics methods, this study aimed at evaluating the spatial relationship between the stock of nutrients and density of a humic Rhodic Hapludox. The study was conducted in an area cultivated with Coffea arabica L. (Catucaí cultivar), in a sample grid with 100 points. The soil sampling was performed in the 0-0.20 m layer, in order to determine the soil density and the P, K, Ca and Mg contents, which were converted into stock values. After this transformation, the data were analyzed by using descriptive and exploratory statistics, determining the correlation between density and stocks. Then, the univariate and multivariate geostatistics were used, followed by interpolation with ordinary kriging and cokriging. The distribution of nutrients stocks was inversely proportional to the soil density, except for the P stock. The cokriging allowed to characterize the soil, favoring the interpretation of the fertility spatial distribution behavior.
topic Coffea arabica L.
spatial variability
precision agriculture
soil fertility
cokriging
url https://www.revistas.ufg.br/pat/article/view/20509
work_keys_str_mv AT samueldeassissilva spatialrelationshipbetweenthestockofnutrientsanddensityofasoilcultivatedwithcoffeeplants
AT juliaosoaresdesouzalima spatialrelationshipbetweenthestockofnutrientsanddensityofasoilcultivatedwithcoffeeplants
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