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| Registros recuperados : 2 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
07/05/2019 |
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Data da última atualização: |
20/08/2019 |
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Autoria: |
APARECIDO, L. E. de O.; BATISTA, R. M.; MORAES, J. R. da S. C. de; COSTA, C. T. S.; MORAES-OLIVEIRA, A. F. de. |
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Afiliação: |
Lucas Eduardo de Oliveira Aparecido, Instituto Federal de Mato Grosso do Sul - IFMS; Rafael Madureira Batista, Instituto Federal de Mato Grosso do Sul - IFMS; José Reinaldo da Silva Cabral de Moraes, Universidade Estadual Paulista- UNESP/Faculdade de Ciências Agrárias e Veterinárias/Departamento de Ciências Exatas; Cícero Teixeira Silva Costa, Instituto Federal de Mato Grosso do Sul - IFMS; Adriana Ferreira de Moraes-Oliveira, Universidade Estadual Paulista - UNESP/Faculdade de Ciências Agrárias e Veterinárias/Departamento de Economia. |
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Título: |
Agricultural zoning of climate risk for Physalis peruviana cultivation in Southeastern Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 54, e00057, 2019. |
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Idioma: |
Português |
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Notas: |
Título em português: Zoneamento agrícola de risco climático para o cultivo de Physalis peruviana no Sudeste do Brasil. |
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Conteúdo: |
The objective of this work was to elaborate the agricultural zoning of climatic risk (ZARC) for Physalis peruviana, through the thermal and water requirements of the crop in Southeastern Brazil. Air temperature (TAIR) and precipitation (PYEAR) data from 1,530 meteorological stations covering the entire region were used. Regions were considered climatically favorable to Physalis peruviana when TAIR was between 13 and 18ºC and PYEAR between 1,000 and 2,000 mm per year. Regions where TAIR was above 30ºC or less than 13ºC were considered inapt. Maps were created with this information and used to identify climatic characteristics and to establish the agricultural aptitude classes, termed apt, inapt, and marginal for the cultivation of Physalis peruviana. The Southeastern region of Brazil showed a thermal variation from 16.5 to 22.6°C and water amplitude from 800 to 2,800 mm. ZARC shows that 10% of Southeastern Brazil is climatically apt for the cultivation of Physalis peruviana, corresponding to the following regions of Brazilian states: central and southern Minas Gerais, western Rio de Janeiro and Espírito Santo, and eastern and southern São Paulo. |
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Palavras-Chave: |
Agrometeorologia; Big data; Climate risk; Modelagem; Modeling. |
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Thesagro: |
Risco Climático. |
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Thesaurus NAL: |
Agrometeorology. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/197061/1/Agricultura-zoning-of-climate-risk.pdf
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Marc: |
LEADER 02063naa a2200265 a 4500
001 2108842
005 2019-08-20
008 2019 bl uuuu u00u1 u #d
100 1 $aAPARECIDO, L. E. de O.
245 $aAgricultural zoning of climate risk for Physalis peruviana cultivation in Southeastern Brazil.$h[electronic resource]
260 $c2019
500 $aTítulo em português: Zoneamento agrícola de risco climático para o cultivo de Physalis peruviana no Sudeste do Brasil.
520 $aThe objective of this work was to elaborate the agricultural zoning of climatic risk (ZARC) for Physalis peruviana, through the thermal and water requirements of the crop in Southeastern Brazil. Air temperature (TAIR) and precipitation (PYEAR) data from 1,530 meteorological stations covering the entire region were used. Regions were considered climatically favorable to Physalis peruviana when TAIR was between 13 and 18ºC and PYEAR between 1,000 and 2,000 mm per year. Regions where TAIR was above 30ºC or less than 13ºC were considered inapt. Maps were created with this information and used to identify climatic characteristics and to establish the agricultural aptitude classes, termed apt, inapt, and marginal for the cultivation of Physalis peruviana. The Southeastern region of Brazil showed a thermal variation from 16.5 to 22.6°C and water amplitude from 800 to 2,800 mm. ZARC shows that 10% of Southeastern Brazil is climatically apt for the cultivation of Physalis peruviana, corresponding to the following regions of Brazilian states: central and southern Minas Gerais, western Rio de Janeiro and Espírito Santo, and eastern and southern São Paulo.
650 $aAgrometeorology
650 $aRisco Climático
653 $aAgrometeorologia
653 $aBig data
653 $aClimate risk
653 $aModelagem
653 $aModeling
700 1 $aBATISTA, R. M.
700 1 $aMORAES, J. R. da S. C. de
700 1 $aCOSTA, C. T. S.
700 1 $aMORAES-OLIVEIRA, A. F. de.
773 $tPesquisa Agropecuária Brasileira$gv. 54, e00057, 2019.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
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