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Registro Completo |
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
16/06/2023 |
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Data da última atualização: |
16/06/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
IWATA, B. de F.; BRANDÃO, M. L. S. M.; BRAZ, R. dos S.; LEITE, L. F. C.; COSTA, M. C. G. |
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Afiliação: |
BRUNA DE FREITAS IWATA, INSTITUTO FEDERAL DO PIAUÍ; MARIA LETÍCIA STEFANY MONTEIRO BRANDÃO, INSTITUTO FEDERAL DO PIAUÍ; REGIS DOS SANTOS BRAZ, ESCOLA FAMÍLIA AGRÍCOLA, IPUEIRAS, CE.; LUIZ FERNANDO CARVALHO LEITE, CPAMN; MIRIAN CRISTINA GOMES COSTA, UNIVERSIDADE FEDERAL DO CEARÁ. |
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Título: |
Total and particulate contents and vertical stratification of organic carbon in agroforestry system in caatinga. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Caatinga, v. 34, n. 2, p. 443-451, abr./jun. 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to evaluate the variation in total and particulate organic carbon contents, carbon vertical stratification, and sensitivity index of organic matter fractions in soils with organic residues arranged in alleys in an agroforestry system, with and without use of fire, in the Caatinga biome, in Brazil. |
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Palavras-Chave: |
Adubação orgânica; Frações físicas do carbono; Qualidade do solo. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154482/1/TotalParticulateContentsVerticalStratificationRC34.2021.pdf
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Marc: |
LEADER 00999naa a2200205 a 4500
001 2154482
005 2023-06-16
008 2021 bl uuuu u00u1 u #d
100 1 $aIWATA, B. de F.
245 $aTotal and particulate contents and vertical stratification of organic carbon in agroforestry system in caatinga.$h[electronic resource]
260 $c2021
520 $aThe objective of this work was to evaluate the variation in total and particulate organic carbon contents, carbon vertical stratification, and sensitivity index of organic matter fractions in soils with organic residues arranged in alleys in an agroforestry system, with and without use of fire, in the Caatinga biome, in Brazil.
653 $aAdubação orgânica
653 $aFrações físicas do carbono
653 $aQualidade do solo
700 1 $aBRANDÃO, M. L. S. M.
700 1 $aBRAZ, R. dos S.
700 1 $aLEITE, L. F. C.
700 1 $aCOSTA, M. C. G.
773 $tRevista Caatinga$gv. 34, n. 2, p. 443-451, abr./jun. 2021.
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Registro original: |
Embrapa Meio-Norte (CPAMN) |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
13/09/2019 |
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Data da última atualização: |
28/11/2019 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
PINHEIRO, H. S. K.; XAVIER, P. A. M.; ANJOS, L. H. C. dos; CHAGAS, C. da S.; CARVALHO JUNIOR, W. de. |
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Afiliação: |
HELENA SARAIVA KOENOW PINHEIRO, UFRRJ; PEDRO ARMENTANO MUDADO XAVIER, UFRRJ; LÚCIA HELENA CUNHA DOS ANJOS, UFRRJ; CESAR DA SILVA CHAGAS, CNPS; WALDIR DE CARVALHO JUNIOR, CNPS. |
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Título: |
Pedometric tools applied to zoning management of areas in brazilian semiarid region. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
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. |
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DOI: |
10.5772/intechopen.88526 |
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Idioma: |
Inglês |
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Conteúdo: |
Brazilian semi-arid region is a recent frontier in the country for agribusiness. The objective of this study is to apply pedometric tools to zoning areas with distinct potential and limitations to agricultural purposes. The research was set in three main steps: (i) to compile a database with all complete profile data collection; (ii) to analyze the vertical variability of soil properties and select a set of soil key properties useful to define the land potential and limitations; and (iii) to classify the area according to potential for agriculture, considering a medium technological level of the farmers. The quantitative methods applied are supported by geographic information systems (GIS) and spatial statistics. The soil data compilation was based on legacy data, with corresponding topographical data and information from remote sensing images of the area. Tree-based and geostatistical algorithms were applied to predict the spatial variability of the soil key properties. The definition of management zones was based on Iso Cluster and Maximum Likelihood Classification tools. The results pointed three different management zones according to risks of salinization and requirements for irrigation control. The approach showed to be a simple and useful way to select and recommend primarily potential areas for agriculture based on soil properties. |
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Thesagro: |
Análise do Solo; Profundidade; Sistema de Informação Geográfica; Zoneamento Agrícola. |
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Thesaurus NAL: |
Agricultural zoning; Geographic information systems; Soil analysis; Soil depth. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205724/1/Pedometric-tools-applied-to-zoning-management-of-areas-in-brazilian-semiarid-region-2019.pdf
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Marc: |
LEADER 02338naa a2200277 a 4500
001 2112161
005 2019-11-28
008 2019 bl uuuu u00u1 u #d
024 7 $a10.5772/intechopen.88526$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aPedometric tools applied to zoning management of areas in brazilian semiarid region.$h[electronic resource]
260 $c2019
520 $aBrazilian semi-arid region is a recent frontier in the country for agribusiness. The objective of this study is to apply pedometric tools to zoning areas with distinct potential and limitations to agricultural purposes. The research was set in three main steps: (i) to compile a database with all complete profile data collection; (ii) to analyze the vertical variability of soil properties and select a set of soil key properties useful to define the land potential and limitations; and (iii) to classify the area according to potential for agriculture, considering a medium technological level of the farmers. The quantitative methods applied are supported by geographic information systems (GIS) and spatial statistics. The soil data compilation was based on legacy data, with corresponding topographical data and information from remote sensing images of the area. Tree-based and geostatistical algorithms were applied to predict the spatial variability of the soil key properties. The definition of management zones was based on Iso Cluster and Maximum Likelihood Classification tools. The results pointed three different management zones according to risks of salinization and requirements for irrigation control. The approach showed to be a simple and useful way to select and recommend primarily potential areas for agriculture based on soil properties.
650 $aAgricultural zoning
650 $aGeographic information systems
650 $aSoil analysis
650 $aSoil depth
650 $aAnálise do Solo
650 $aProfundidade
650 $aSistema de Informação Geográfica
650 $aZoneamento Agrícola
700 1 $aXAVIER, P. A. M.
700 1 $aANJOS, L. H. C. dos
700 1 $aCHAGAS, C. da S.
700 1 $aCARVALHO JUNIOR, W. de
773 $tIn: MOUDRY, J.; BERNAS, J.; MENDES, K.; SOUSA, R. N. de; TEIXEIRA, R. da S. (Ed.). Multifunctionality and impacts of organic agriculture. London: IntechOpen, 2019.
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