DAIRY PRODUCTION OF ‘SAANEN’ GOATS BASED ON METEOROLOGICAL VARIABLES AND FUTURE CLIMATE SCENARIOS
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia Agrícola |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000200226 |
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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Engenharia Agrícola |
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DAIRY PRODUCTION OF ‘SAANEN’ GOATS BASED ON METEOROLOGICAL VARIABLES AND FUTURE CLIMATE SCENARIOSpath analysiswelfarestressclimate changeABSTRACT 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.Associação Brasileira de Engenharia Agrícola2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000200226Engenharia Agrícola v.37 n.2 2017reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-eng.agric.v37n2p226-235/2017info:eu-repo/semantics/openAccessPequeno,Izaac D.Turco,Silvia H. N.Silva,Thieres G. F. daFacó,Olivardoeng2017-04-03T00:00:00Zoai:scielo:S0100-69162017000200226Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2017-04-03T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)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,Izaac D. path analysis welfare stress climate change |
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,Izaac D. |
author_facet |
Pequeno,Izaac D. Turco,Silvia H. N. Silva,Thieres G. F. da Facó,Olivardo |
author_role |
author |
author2 |
Turco,Silvia H. N. Silva,Thieres G. F. da Facó,Olivardo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Pequeno,Izaac D. Turco,Silvia H. N. Silva,Thieres G. F. da Facó,Olivardo |
dc.subject.por.fl_str_mv |
path analysis welfare stress climate change |
topic |
path analysis welfare stress climate change |
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 |
2017-04-01 |
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=S0100-69162017000200226 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000200226 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1809-4430-eng.agric.v37n2p226-235/2017 |
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 |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola v.37 n.2 2017 reponame:Engenharia Agrícola instname:Associação Brasileira de Engenharia Agrícola (SBEA) instacron:SBEA |
instname_str |
Associação Brasileira de Engenharia Agrícola (SBEA) |
instacron_str |
SBEA |
institution |
SBEA |
reponame_str |
Engenharia Agrícola |
collection |
Engenharia Agrícola |
repository.name.fl_str_mv |
Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA) |
repository.mail.fl_str_mv |
revistasbea@sbea.org.br||sbea@sbea.org.br |
_version_ |
1752126273193246720 |