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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
27/07/2017 |
Data da última atualização: |
27/07/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PEQUENO, I. D.; TURCO, S. H. N.; SILVA, T. G. F. da; FACO, O. |
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. |
Título: |
Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Engenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017. |
DOI: |
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017 |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Análise de variância; Bioclimatic zoning; Brasil; Índice de temperatura; Modelagem; Path analysis; Região Nordeste; Statistical methods; Welfare; Zoneamento bioclimático. |
Thesagro: |
Caatinga; Caprino; Leite de cabra; Método estatístico; Produção leiteira; Stress. |
Thesaurus Nal: |
Bioclimatology; Brazil; Climate change; Goat milk; Milk production. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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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