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dc.contributor.author
Alesso, Carlos Agustín
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dc.contributor.author
Masola, María Josefina
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dc.contributor.author
Carrizo, Maria Eugenia
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dc.contributor.author
Imhoff, Silvia del Carmen
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dc.date.available
2019-11-18T21:42:37Z
dc.date.issued
2017-11
dc.identifier.citation
Alesso, Carlos Agustín; Masola, María Josefina; Carrizo, Maria Eugenia; Imhoff, Silvia del Carmen; Estimating sample size of soil cone index profiles by bootstrapping; Sociedade Brasileira de Ciência do Solo; Revista Brasileira de Ciência do Solo; 41; 11-2017; 1-12
dc.identifier.issn
0100-0683
dc.identifier.uri
http://hdl.handle.net/11336/89167
dc.description.abstract
Measurements of the soil cone index are widely used to assess soil resistanceto root penetration (SR) and to monitor the soil compaction status of agricultural fields. However, soil sampling for SR estimation is a rather challenging task in view of the high spatial and temporal variability of the soil. This study proposed a bootstrapping method to determine the minimum sample size required to estimate the vertical profile of mean soil cone index (CI) values at different levels of precision and confidence. For this purpose, CI data from a Typic Argiudoll under no-tillage before and after chiseling was used. A total of 151 CI profiles were recorded before and after chiseling in a 3,200 m2 (40 × 80 m) no-tillage area at sampling points distributed on a horizontal 5 × 5 m aligned grid and from the top layer to 0.40 m depth by in 0.02 m intervals. A modified bootstrap routine was developed to estimate the sampling distribution of the sample mean and medians of CI values per layer. The minimum sample size to estimate the vertical profile of mean CI values at different levels of precision and confidence was determined from data of thewhole soil profile, including the autocorrelation of CI readings in the vertical direction. Tilling increased the variability of this measurement and thus the sampling efforts to achieve the same level of precision and confidence were different before and after the procedure. The standard errors of sample medians estimated by bootstrapping were higher than those corresponding to sample means. In addition, to achieve the same level of precision and confidence, the estimation of the vertical profile of mean CI values based on sample medians required more observations than based on sample means. This study shows that the viability of the bootstrap approach to determine the implications of soil variability on the sampling efforts required for an accurate estimation of the vertical distribution of resistance in soils under different managements.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Sociedade Brasileira de Ciência do Solo
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Sampling
dc.subject
Soil Resistance
dc.subject
Bootstrap Procedure
dc.subject
Soil Variability
dc.subject.classification
Meteorología y Ciencias Atmosféricas
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Estimating sample size of soil cone index profiles by bootstrapping
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-02T14:03:56Z
dc.identifier.eissn
1806-9657
dc.journal.volume
41
dc.journal.pagination
1-12
dc.journal.pais
Brasil
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dc.journal.ciudad
Vicosa
dc.description.fil
Fil: Alesso, Carlos Agustín. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
dc.description.fil
Fil: Masola, María Josefina. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
dc.description.fil
Fil: Carrizo, Maria Eugenia. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina
dc.description.fil
Fil: Imhoff, Silvia del Carmen. Universidad Nacional del Litoral. Facultad de Cs.agrarias. Departamento de Ciencias del Ambiente; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina
dc.journal.title
Revista Brasileira de Ciência do Solo
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1590/18069657rbcs20160464
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