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| Registros recuperados : 7 | |
| 2. |  | XAVIER, P. A. M.; ANJOS, L. H. C. dos; PINHEIRO, H. S. K.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de. Usage of pedometrics for data evaluation and harmonization in soil profiles from Cerrado region, Mato Grosso do Sul. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 75. WCSS 2018.| Biblioteca(s): Embrapa Solos. |
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| 3. | | CHAGAS, C. da S.; CARVALHO JUNIOR, W. de; PINHEIRO, H. S. K.; XAVIER, P. A. M.; BHERING, S. B.; PEREIRA, N. R.; CALDERANO FILHO, B. Mapping soil cation exchange capacity in a semiarid region through predictive models and covariates from remote sensing data. Revista Brasileira de Ciência do Solo, v. 42, article e0170183, 2018.| Biblioteca(s): Embrapa Solos. |
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| 4. | | SILVA, E. F. da; XAVIER, P. A. M.; CARVALHO FILHO, A. de; MOTTA, P. E. F. da; BACA, J. F. M. Avaliação da aptidão agrícola das terras das áreas desmatadas da Amazônia Legal para Lavouras no nível tecnológico médio. In: ENCONTRO REGIONAL DE CIÊNCIA DO SOLO NA AMAZÔNIA ORIENTAL, 2., 2016, Capanema, PA. Anais... Capanema, PA: UFRA, 2016. Amazon Soil 2016.| Biblioteca(s): Embrapa Solos. |
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| 5. | | XAVIER, P. A. M.; SILVA, E. F. da; CARVALHO FILHO, A. de; MOTTA, P. E. F. da; BACA, J. F. M. Avaliação e caracterização da aptidão agrícola em áreas desmatadas do Estado de Rondônia para lavouras no nível tecnológico C. In: ENCONTRO REGIONAL DE CIÊNCIA DO SOLO NA AMAZÔNIA ORIENTAL, 2., 2016, Capanema, PA. Anais... Capanema, PA: UFRA, 2016. Amazon Soil 2016.| Biblioteca(s): Embrapa Solos. |
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| 7. | | PINHEIRO, H. S. K.; XAVIER, P. A. M.; ANJOS, L. H. C. dos; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de. Pedometric tools applied to zoning management of areas in brazilian semiarid region. In: MOUDRY, J.; BERNAS, J.; MENDES, K.; SOUSA, R. N. de; TEIXEIRA, R. da S. (Ed.). Multifunctionality and impacts of organic agriculture. London: IntechOpen, 2019.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 7 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
21/06/2018 |
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Data da última atualização: |
11/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PINHEIRO, H. S. K.; ANJOS, L. H. C. dos; XAVIER, P. A. M.; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de. |
|
Afiliação: |
HELENA S. K. PINHEIRO, UFRRJ; LÚCIA HELENA CUNHA DOS ANJOS, UFRJ; PEDRO A. M. XAVIER, UFRRJ; CESAR DA SILVA CHAGAS, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS. |
|
Título: |
Quantitative pedology to evaluate a soil profile collection from the Brazilian semi-arid region. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
South African Journal of Plant and Soil, v. 35, n. 4, p. 269-279, 2018. |
|
DOI: |
https://doi.org/10.1080/02571862.2017.1419385 |
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Idioma: |
Inglês |
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Conteúdo: |
This work applies pedometric tools to analyse soil property information relevant to morphological characterisation and soil classification. The objective of this paper was further to identify similarities in soil properties among a soil profile collection. The harmonisation of soil data enables the comparison between soil profiles, transference of information and modelling of soil horizons distribution. The statistical procedures were implemented in R software, through the Algorithms for Quantitative Pedology (AQP package), which contains a collection of algorithms to model soil resources and aid soil classification, soil profile aggregation and visualisation. The procedures allowed definition of values for soil properties in every one-centimetre layer of the soil profile, by regrouping the data in a different layer thickness, and it was possible to analyse similarity between profiles using a dissimilarity matrix for each depth slice. The AQP allowed analysis of a large number of soil profiles, in terms of vertical variability of soil continuous properties (e.g. sand and clay content, and pH) and for categorical variables, such as diagnostic horizons. Soil depth functions were developed to represent soil properties and probability of occurrence to diagnostic horizons to a large data set, and the dissimilarity analysis allowed separation of a small group of similar soil profiles and further qualitative comparison among the select profiles. |
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Palavras-Chave: |
Algorithms for Quantitative Pedology; Pacote AQP; Pedometria; Propriedades do solo. |
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Thesagro: |
Profundidade; Solo. |
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Thesaurus NAL: |
Soil depth; Soil properties. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02342naa a2200277 a 4500
001 2092685
005 2021-11-11
008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1080/02571862.2017.1419385$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aQuantitative pedology to evaluate a soil profile collection from the Brazilian semi-arid region.$h[electronic resource]
260 $c2018
520 $aThis work applies pedometric tools to analyse soil property information relevant to morphological characterisation and soil classification. The objective of this paper was further to identify similarities in soil properties among a soil profile collection. The harmonisation of soil data enables the comparison between soil profiles, transference of information and modelling of soil horizons distribution. The statistical procedures were implemented in R software, through the Algorithms for Quantitative Pedology (AQP package), which contains a collection of algorithms to model soil resources and aid soil classification, soil profile aggregation and visualisation. The procedures allowed definition of values for soil properties in every one-centimetre layer of the soil profile, by regrouping the data in a different layer thickness, and it was possible to analyse similarity between profiles using a dissimilarity matrix for each depth slice. The AQP allowed analysis of a large number of soil profiles, in terms of vertical variability of soil continuous properties (e.g. sand and clay content, and pH) and for categorical variables, such as diagnostic horizons. Soil depth functions were developed to represent soil properties and probability of occurrence to diagnostic horizons to a large data set, and the dissimilarity analysis allowed separation of a small group of similar soil profiles and further qualitative comparison among the select profiles.
650 $aSoil depth
650 $aSoil properties
650 $aProfundidade
650 $aSolo
653 $aAlgorithms for Quantitative Pedology
653 $aPacote AQP
653 $aPedometria
653 $aPropriedades do solo
700 1 $aANJOS, L. H. C. dos
700 1 $aXAVIER, P. A. M.
700 1 $aCHAGAS, C. da S.
700 1 $aCARVALHO JUNIOR, W. de
773 $tSouth African Journal of Plant and Soil$gv. 35, n. 4, p. 269-279, 2018.
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