The use of different sampling grids in determining the variability of soil physical attributes of a Oxisol

Bottega, Eduardo Leonel; Queiroz, Daniel Marçal de; Pinto, Francisco de Assis de Carvalho; Santos, Nerilson Terra

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dc.creator	Bottega, Eduardo Leonel
dc.creator	Queiroz, Daniel Marçal de
dc.creator	Pinto, Francisco de Assis de Carvalho
dc.creator	Santos, Nerilson Terra
dc.date	2014-06-30
dc.date.accessioned	2022-03-21T20:07:17Z
dc.date.available	2022-03-21T20:07:17Z
dc.identifier	https://comunicatascientiae.com.br/comunicata/article/view/330
dc.identifier	10.14295/cs.v5i2.330
dc.identifier.uri	http://biblioteca-repositorio.clacso.edu.ar/handle/CLACSO/77626
dc.description	This study aimed to analyze the influence of different sampling grids in determining the spatial variability of physical attributes of a Oxisol. It was used to study an area of approximately 90 hectares, where soil was sampled at depth from 0 to 0.20 meters, using a grid of 2 points per hectare (G1). Each soil sample was composed of four subsamples and obtained using a soil sampler Dutch type. The samples were sent to the laboratory to granulometric analysis. From the initial grid, the area was divided into sampling cells of 2.9 (G2) and 4.7 hectares (G3), and assigned a coordinate value representative of the center of each cell. Classical statistical and geostatistical methods were used to characterize the data and to model the spatial dependence. Spatial dependence was detected for all physical variables of the soil, regardless of the sampling grid used. The utilization of sampling grid of 1 point for each 2.9 hectares, and the sampling cell characterized by 12 subsamples, showed itself capable of detecting the spatial variability of the physical attributes of the soil, guaranteeing reliability in the estimates, even reducing the quantity of points when compared to the densest grid.	en-US
dc.format	application/pdf
dc.language	eng
dc.publisher	Federal University of Piauí	en-US
dc.relation	https://comunicatascientiae.com.br/comunicata/article/view/330/236
dc.source	Comunicata Scientiae; Vol. 5 No. 2 (2014); 131-139	en-US
dc.source	Comunicata Scientiae; v. 5 n. 2 (2014); 131-139	pt-BR
dc.source	2177-5133
dc.source	2176-9079
dc.subject	precision agriculture	en-US
dc.subject	physical attributes	en-US
dc.subject	spatial variability	en-US
dc.subject	geostatistics	en-US
dc.title	The use of different sampling grids in determining the variability of soil physical attributes of a Oxisol	en-US
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion