Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.

Detalhes bibliográficos
Autor(a) principal: PEQUENO, I. D.
Data de Publicação: 2017
Outros Autores: TURCO, S. H. N., SILVA, T. G. F. da, FACO, O.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017
Resumo: 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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spelling Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.Zoneamento bioclimáticoModelagemBioclimatic zoningÍndice de temperaturaBrasilRegião NordestePath analysisAnálise de variânciaStatistical methodsWelfareCaprinoLeite de cabraProdução leiteiraCaatingaMétodo estatísticoStressClimate changeBioclimatologyBrazilGoat milkMilk productionAbstract: 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.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.PEQUENO, I. D.TURCO, S. H. N.SILVA, T. G. F. daFACO, O.2017-07-27T11:11:11Z2017-07-27T11:11:11Z2017-07-2720172017-07-27T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleEngenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:48:11Zoai:www.alice.cnptia.embrapa.br:doc/1073269Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:48:11falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:48:11Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
title Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
spellingShingle Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
PEQUENO, I. D.
Zoneamento bioclimático
Modelagem
Bioclimatic zoning
Índice de temperatura
Brasil
Região Nordeste
Path analysis
Análise de variância
Statistical methods
Welfare
Caprino
Leite de cabra
Produção leiteira
Caatinga
Método estatístico
Stress
Climate change
Bioclimatology
Brazil
Goat milk
Milk production
title_short Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
title_full Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
title_fullStr Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
title_full_unstemmed Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
title_sort Dairy production of "Saanen" goats based on meteorological variables and future climate scenarios.
author PEQUENO, I. D.
author_facet PEQUENO, I. D.
TURCO, S. H. N.
SILVA, T. G. F. da
FACO, O.
author_role author
author2 TURCO, S. H. N.
SILVA, T. G. F. da
FACO, O.
author2_role author
author
author
dc.contributor.none.fl_str_mv 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.
dc.contributor.author.fl_str_mv PEQUENO, I. D.
TURCO, S. H. N.
SILVA, T. G. F. da
FACO, O.
dc.subject.por.fl_str_mv Zoneamento bioclimático
Modelagem
Bioclimatic zoning
Índice de temperatura
Brasil
Região Nordeste
Path analysis
Análise de variância
Statistical methods
Welfare
Caprino
Leite de cabra
Produção leiteira
Caatinga
Método estatístico
Stress
Climate change
Bioclimatology
Brazil
Goat milk
Milk production
topic Zoneamento bioclimático
Modelagem
Bioclimatic zoning
Índice de temperatura
Brasil
Região Nordeste
Path analysis
Análise de variância
Statistical methods
Welfare
Caprino
Leite de cabra
Produção leiteira
Caatinga
Método estatístico
Stress
Climate change
Bioclimatology
Brazil
Goat milk
Milk production
description 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.
publishDate 2017
dc.date.none.fl_str_mv 2017-07-27T11:11:11Z
2017-07-27T11:11:11Z
2017-07-27
2017
2017-07-27T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Engenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017
identifier_str_mv Engenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269
http://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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