Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions

Detalhes bibliográficos
Autor(a) principal: Lopes,Fernando B.
Data de Publicação: 2012
Outros Autores: Silva,Marcelo C. da, Miyagi,Eliane S., Fioravanti,Maria C.S., Facó,Olivardo, Guimarães,Renato F., C. Júnior,Osmar A. de, McManus,Concepta M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Veterinária Brasileira (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2012001100001
Resumo: Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.
id EMBRAPA-2_1d54d8e7b3d53d7fa376badea8a380d3
oai_identifier_str oai:scielo:S0100-736X2012001100001
network_acronym_str EMBRAPA-2
network_name_str Pesquisa Veterinária Brasileira (Online)
repository_id_str
spelling Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisionsSpatializationanimal breeding programclustermilkmultivariate analysisBrazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.Colégio Brasileiro de Patologia Animal - CBPA2012-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2012001100001Pesquisa Veterinária Brasileira v.32 n.11 2012reponame:Pesquisa Veterinária Brasileira (Online)instname:Colégio Brasileiro de Patologia Animal (CBPA)instacron:EMBRAPA10.1590/S0100-736X2012001100001info:eu-repo/semantics/openAccessLopes,Fernando B.Silva,Marcelo C. daMiyagi,Eliane S.Fioravanti,Maria C.S.Facó,OlivardoGuimarães,Renato F.C. Júnior,Osmar A. deMcManus,Concepta M.eng2012-12-03T00:00:00Zoai:scielo:S0100-736X2012001100001Revistahttp://www.pvb.com.br/https://old.scielo.br/oai/scielo-oai.phpcolegio@cbpa.org.br||pvb@pvb.com.br0100-736X1678-5150opendoar:2012-12-03T00:00Pesquisa Veterinária Brasileira (Online) - Colégio Brasileiro de Patologia Animal (CBPA)false
dc.title.none.fl_str_mv Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
title Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
spellingShingle Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
Lopes,Fernando B.
Spatialization
animal breeding program
cluster
milk
multivariate analysis
title_short Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
title_full Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
title_fullStr Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
title_full_unstemmed Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
title_sort Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
author Lopes,Fernando B.
author_facet Lopes,Fernando B.
Silva,Marcelo C. da
Miyagi,Eliane S.
Fioravanti,Maria C.S.
Facó,Olivardo
Guimarães,Renato F.
C. Júnior,Osmar A. de
McManus,Concepta M.
author_role author
author2 Silva,Marcelo C. da
Miyagi,Eliane S.
Fioravanti,Maria C.S.
Facó,Olivardo
Guimarães,Renato F.
C. Júnior,Osmar A. de
McManus,Concepta M.
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lopes,Fernando B.
Silva,Marcelo C. da
Miyagi,Eliane S.
Fioravanti,Maria C.S.
Facó,Olivardo
Guimarães,Renato F.
C. Júnior,Osmar A. de
McManus,Concepta M.
dc.subject.por.fl_str_mv Spatialization
animal breeding program
cluster
milk
multivariate analysis
topic Spatialization
animal breeding program
cluster
milk
multivariate analysis
description Brazil has high climate, soil and environmental diversity, as well as distinct socioeconomic and political realities, what results in differences among the political administrative regions of the country. The objective of this study was to determine spatial distribution of the physical, climatic and socioeconomic aspects that best characterize the production of dairy goats in Brazil. Production indices of milk per goat, goat production, milk production, as well as temperature range, mean temperature, precipitation, normalized difference vegetation index, relative humidity, altitude, agricultural farms; farms with native pasture, farms with good quality pasture, farms with water resources, farms that receive technical guidance, family farming properties, non-familiar farms and the human development index were evaluated. The multivariate analyses were carried out to spatialize climatic, physical and socioeconomic variables and so differenciate the Brazilian States and Regions. The highest yields of milk and goat production were observed in the Northeast. The Southeast Region had the second highest production of milk, followed by the South, Midwest and North. Multivariate analysis revealed distinctions between clusters of political-administrative regions of Brazil. The climatic variables were most important to discriminate between regions of Brazil. Therefore, it is necessary to implement animal breeding programs to meet the needs of each region.
publishDate 2012
dc.date.none.fl_str_mv 2012-11-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2012001100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-736X2012001100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0100-736X2012001100001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Colégio Brasileiro de Patologia Animal - CBPA
publisher.none.fl_str_mv Colégio Brasileiro de Patologia Animal - CBPA
dc.source.none.fl_str_mv Pesquisa Veterinária Brasileira v.32 n.11 2012
reponame:Pesquisa Veterinária Brasileira (Online)
instname:Colégio Brasileiro de Patologia Animal (CBPA)
instacron:EMBRAPA
instname_str Colégio Brasileiro de Patologia Animal (CBPA)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Veterinária Brasileira (Online)
collection Pesquisa Veterinária Brasileira (Online)
repository.name.fl_str_mv Pesquisa Veterinária Brasileira (Online) - Colégio Brasileiro de Patologia Animal (CBPA)
repository.mail.fl_str_mv colegio@cbpa.org.br||pvb@pvb.com.br
_version_ 1754122232371609600