Spatialization of climate, physical and socioeconomic factors that affect the dairy goat production in Brazil and their impact on animal breeding decisions
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , , |
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. |
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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 |