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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
27/07/2017 |
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Data da última atualização: |
27/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEQUENO, I. D.; TURCO, S. H. N.; SILVA, T. G. F. da; FACO, O. |
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Afiliação: |
Izaac D. Pequeno, Companhia de Desenvolvimento dos Vales do São Francisco e do Parnaíb (Codevasf) - Petrolina - PE, Brasil; Silvia H. N. Turco, Universidade Federal do Vale do São Francisco (UNIVASF) - Juazeiro, BA, Brasil; Thieres G. F. da Silva, Universidade Federal Rural de Pernambuco (UFRPE) - Serra Talhada, PE, Brasil; OLIVARDO FACO, CNPC. |
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Título: |
Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Engenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017. |
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DOI: |
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: This study aimed to modeling and bioclimatic zoning of "Saanen" goat milk production in northeastern Brazil. Data were obtained from a 14-year dairy control program for 246 ?Saanen? goat matrices. Dairy production meteorological influence and mathematical modeling were assessed through statistical analyses such as Pearson?s correlation matrix and path analysis. Bioclimatic zoning for current and future scenarios, with climate changes, were delineated using inverse-square distance (ISD) and spherical model (kriging) interpolations. Results showed maximum air temperature to contribute substantially to goat dairy production; therefore, its modeling was based thereon. Current and future dairy production maps highlighted Maranhão and Piauí as regions of limited ?Saanen? milk production. Furthermore, we should emphasize that temperature rises in further scenarios may have significant impact on the potential of dairy farming for the region under study. |
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Palavras-Chave: |
Análise de variância; Bioclimatic zoning; Brasil; Índice de temperatura; Modelagem; Path analysis; Região Nordeste; Statistical methods; Welfare; Zoneamento bioclimático. |
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Thesagro: |
Caatinga; Caprino; Leite de cabra; Método estatístico; Produção leiteira; Stress. |
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Thesaurus Nal: |
Bioclimatology; Brazil; Climate change; Goat milk; Milk production. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/162151/1/CNPC-2017-Dairy.pdf
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Marc: |
LEADER 02215naa a2200421 a 4500
001 2073269
005 2017-07-27
008 2017 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017$2DOI
100 1 $aPEQUENO, I. D.
245 $aDairy production of "Saanen" goats based on meteorological variables and future climate scenarios.$h[electronic resource]
260 $c2017
520 $aAbstract: This study aimed to modeling and bioclimatic zoning of "Saanen" goat milk production in northeastern Brazil. Data were obtained from a 14-year dairy control program for 246 ?Saanen? goat matrices. Dairy production meteorological influence and mathematical modeling were assessed through statistical analyses such as Pearson?s correlation matrix and path analysis. Bioclimatic zoning for current and future scenarios, with climate changes, were delineated using inverse-square distance (ISD) and spherical model (kriging) interpolations. Results showed maximum air temperature to contribute substantially to goat dairy production; therefore, its modeling was based thereon. Current and future dairy production maps highlighted Maranhão and Piauí as regions of limited ?Saanen? milk production. Furthermore, we should emphasize that temperature rises in further scenarios may have significant impact on the potential of dairy farming for the region under study.
650 $aBioclimatology
650 $aBrazil
650 $aClimate change
650 $aGoat milk
650 $aMilk production
650 $aCaatinga
650 $aCaprino
650 $aLeite de cabra
650 $aMétodo estatístico
650 $aProdução leiteira
650 $aStress
653 $aAnálise de variância
653 $aBioclimatic zoning
653 $aBrasil
653 $aÍndice de temperatura
653 $aModelagem
653 $aPath analysis
653 $aRegião Nordeste
653 $aStatistical methods
653 $aWelfare
653 $aZoneamento bioclimático
700 1 $aTURCO, S. H. N.
700 1 $aSILVA, T. G. F. da
700 1 $aFACO, O.
773 $tEngenharia Agrícola, Jaboticabal$gv. 37, n. 2, p. 226-235, mar./abr. 2017.
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Embrapa Caprinos e Ovinos (CNPC) |
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