Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269
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dc.contributor.authorPEQUENO, I. D.pt_BR
dc.contributor.authorTURCO, S. H. N.pt_BR
dc.contributor.authorSILVA, T. G. F. dapt_BR
dc.contributor.authorFACO, O.pt_BR
dc.date.accessioned2017-07-27T11:11:11Zpt_BR
dc.date.available2017-07-27T11:11:11Zpt_BR
dc.date.created2017-07-27pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationEngenharia Agrícola, Jaboticabal, v. 37, n. 2, p. 226-235, mar./abr. 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1073269pt_BR
dc.descriptionAbstract: 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectZoneamento bioclimáticopt_BR
dc.subjectModelagempt_BR
dc.subjectBioclimatic zoningpt_BR
dc.subjectÍndice de temperaturapt_BR
dc.subjectBrasilpt_BR
dc.subjectRegião Nordestept_BR
dc.subjectAnálise de variânciapt_BR
dc.subjectPath analysispt_BR
dc.subjectStatistical methodspt_BR
dc.subjectWelfarept_BR
dc.titleDairy production of "Saanen" goats based on meteorological variables and future climate scenarios.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-07-27T11:11:11Zpt_BR
dc.subject.thesagroCaprinopt_BR
dc.subject.thesagroLeite de cabrapt_BR
dc.subject.thesagroProdução leiteirapt_BR
dc.subject.thesagroCaatingapt_BR
dc.subject.thesagroMétodo estatísticopt_BR
dc.subject.thesagroStresspt_BR
dc.subject.nalthesaurusClimate changept_BR
dc.subject.nalthesaurusBioclimatologypt_BR
dc.subject.nalthesaurusBrazilpt_BR
dc.subject.nalthesaurusGoat milkpt_BR
dc.subject.nalthesaurusMilk productionpt_BR
riaa.ainfo.id1073269pt_BR
riaa.ainfo.lastupdate2017-07-27pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/1809-4430-eng.agric.v37n2p226-235/2017pt_BR
dc.contributor.institutionIzaac 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.pt_BR
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