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Registro Completo |
Biblioteca(s): |
Embrapa Acre; Embrapa Rondônia. |
Data corrente: |
18/01/2022 |
Data da última atualização: |
04/04/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
TAVARES, O. C. H.; TAVARES, T. R.; PINHEIRO JUNIOR, C. R.; SILVA, L. M. da; WADT, P. G. S.; PEREIRA, M. G. |
Afiliação: |
ORLANDO C. H. TAVARES, Universidade Federal Rural do Rio de Janeiro (UFRRJ); TIAGO R. TAVARES, Centro de Energia Nuclear na Agricultura (CENA) / Universidade de São Paulo (USP); CARLOS R. PINHEIRO JUNIOR, Universidade Federal Rural do Rio de Janeiro (UFRRJ); LUCIELIO MANOEL DA SILVA, CPAF-AC; PAULO GUILHERME SALVADOR WADT, CPAF-RO; MARCOS G. PEREIRA, Universidade Federal Rural do Rio de Janeiro (UFRRJ). |
Título: |
Pedometric tools for classification of southwestern Amazonian soils: a quali-quantitative interpretation incorporating visible-near infrared spectroscopy. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Journal of Near Infrared Spectroscopy, v. 30, n. 1, p. 18-30, Feb. 2022. |
ISSN: |
0967-0335 |
DOI: |
https://doi.org/10.1177/09670335211061854 |
Idioma: |
Inglês |
Conteúdo: |
The southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments, as well as for being a transition region with other two Brazilian biomes. In this study, the use of pedometric tools (the Algorithms for Quantitative Pedology (AQP) R package and diffuse reflectance spectroscopy) was evaluated for the characterization of 15 soil profiles in southwestern Amazon. The AQP statistical package-which evaluates the soil in-depth based on slicing functions-indicated a wide range of variation in soil attributes, especially in the superficial horizons. In addition, the results obtained in the similarity analysis corroborated with the description of physical, chemical components and oxide contents in-depth, aiding the classification of soil profiles. The in-depth characterization of visible-near infrared spectra allowed inference of the pedogenetic processes of some profiles, setting precedents for future work aiming to establish analytical strategies for soil classification in southwestern Amazon based on spectral data. |
Palavras-Chave: |
AQP R package; Clasificación de suelos; Diffuse reflectance spectroscopy; Espectroscopía del infrarrojo cercano; Espectroscopia no infravermelho próximo; Pedometrics; Soil attributes; Soil-depth functions. |
Thesagro: |
Classificação do Solo. |
Thesaurus Nal: |
Amazonia; Near-infrared spectroscopy; Soil classification. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230355/1/27262.pdf
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Marc: |
LEADER 02360naa a2200349 a 4500 001 2139149 005 2022-04-04 008 2022 bl uuuu u00u1 u #d 022 $a0967-0335 024 7 $ahttps://doi.org/10.1177/09670335211061854$2DOI 100 1 $aTAVARES, O. C. H. 245 $aPedometric tools for classification of southwestern Amazonian soils$ba quali-quantitative interpretation incorporating visible-near infrared spectroscopy.$h[electronic resource] 260 $c2022 520 $aThe southwestern region of the Amazon has great environmental variability, presents a great complexity of pedoenvironments due to its rich variability of geological and geomorphological environments, as well as for being a transition region with other two Brazilian biomes. In this study, the use of pedometric tools (the Algorithms for Quantitative Pedology (AQP) R package and diffuse reflectance spectroscopy) was evaluated for the characterization of 15 soil profiles in southwestern Amazon. The AQP statistical package-which evaluates the soil in-depth based on slicing functions-indicated a wide range of variation in soil attributes, especially in the superficial horizons. In addition, the results obtained in the similarity analysis corroborated with the description of physical, chemical components and oxide contents in-depth, aiding the classification of soil profiles. The in-depth characterization of visible-near infrared spectra allowed inference of the pedogenetic processes of some profiles, setting precedents for future work aiming to establish analytical strategies for soil classification in southwestern Amazon based on spectral data. 650 $aAmazonia 650 $aNear-infrared spectroscopy 650 $aSoil classification 650 $aClassificação do Solo 653 $aAQP R package 653 $aClasificación de suelos 653 $aDiffuse reflectance spectroscopy 653 $aEspectroscopía del infrarrojo cercano 653 $aEspectroscopia no infravermelho próximo 653 $aPedometrics 653 $aSoil attributes 653 $aSoil-depth functions 700 1 $aTAVARES, T. R. 700 1 $aPINHEIRO JUNIOR, C. R. 700 1 $aSILVA, L. M. da 700 1 $aWADT, P. G. S. 700 1 $aPEREIRA, M. G. 773 $tJournal of Near Infrared Spectroscopy$gv. 30, n. 1, p. 18-30, Feb. 2022.
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Embrapa Acre (CPAF-AC) |
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1. | | EASTWOOD, R. J.; TAMBAM, B. B.; ABOAGYE, L. M.; AKPAROV, Z. I.; ALADELE, S. E.; ALLEN, R.; AMRI, A.; ANGLIN, N.; ARAYA, R.; ARRIETA-ESPINOZA, G.; ASGEROV, A.; AWANG, K.; AWAS, T.; BARATA, A. M.; BOATENG, S. K.; BREHM, J. M.; BREIDY, J.; BREMAN, E.; ANGULO, A. B.; BURLE, M. L.; CASTAÑEDA-ÁLVAREZ, N. P.; CASIMIRO, P.; CHAVES, N. F.; CLEMENTE, A. S.; COCKEL, C. P.; DAVEY, A.; LA ROSA, L. de; DEBOUCK, D. G.; DEMPEWOLF, H.; DOKMAK, H.; ELLIS, D.; FARUK, A.; FREITAS, C.; GALSTYAN, S.; GARCÍA, R. M.; GHIMIRE, K. H.; GUARINO, L.; HARKER, R.; HOPE, R.; HUMPHRIES, A.; JAMORA, N.; JATOI, S. A.; KHUTSISHVILI, M.; KIKODZE, D.; KYRATZIS, A. C.; LEÓN-LOBOS, P.; LIU, U.; MAINALI, R. P.; MAMMADOV, A. T.; MANRIQUE-CARPINTERO, N. C.; MANZELLA, D.; ALI, M. S. M.; MEDEIROS, M. B. de; GUZMÁN, M. A. M.; MIKATADZE-PANTSULAIA, T.; MOHAMED, E. T. I.; MONTEROS-ALTAMIRANO, A.; MORALES, A.; MÜLLER, J. V.; MULUMBA, J. W.; NERSESYAN, A.; NÓBREGA, H.; NYAMONGO, D. O; OBREZA, M.; OKERE, A. U.; ORSENIGO, S.; ORTEGA-KLOSE, F.; PAPIKYAN, A.; PEARCE, T. R.; CARVALHO, M. A. A. P. de; PROHENS, J.; ROSSI, G.; SALAS, A.; SHRESTHA, D. S.; SIDDIQUI, S. U.; SMITH, P. P.; SOTOMAYOR, D. A.; TACÁN, M.; TAPIA, C.; TOLEDO, A.; TOLL, J.; VU, D. T.; VU, T. D.; WAY, M. J.; YAZBEK, M.; ZORRILLA, C.; KILIAN, B. Adapting agriculture to climate change: a synopsis of Coordinated National Crop Wild Relative Seed Collecting Programs across five continents. Plants, v. 11, 2022. 1840. Na publicação: Marcelo B. Medeiros.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 4 |
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