Estimating mortality in laying hens as the environmental temperature increases
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1590/S1516-635X2010000400008 http://hdl.handle.net/11449/239 |
Resumo: | Layer mortality due to heat stress is an important economic loss for the producer. The aim of this study was to determine the mortality pattern of layers reared in the region of Bastos, SP, Brazil, according to external environment and bird age. Data mining technique were used based on monthly mortality records of hens in production, 135 poultry houses, from January 2004 to August 2008. The external environment was characterized according maximum and minimum temperatures, obtained monthly at the meteorological station CATI in the city of Tupa, SP, Brazil. Mortality was classified as normal (<= 1.2%) or high (> 1.2%), considering the mortality limits mentioned in literature. Data mining technique produced a decision tree with nine levels and 23 leaves, with 62.6% of overall accuracy. The hit rate for the High class was 64.1% and 59.9% for Normal class. The decision tree allowed finding a pattern in the mortality data, generating a model for estimating mortality based on the thermal environment and bird age. |
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Estimating mortality in laying hens as the environmental temperature increasesData mininglayer productionmortalitythermal comfortLayer mortality due to heat stress is an important economic loss for the producer. The aim of this study was to determine the mortality pattern of layers reared in the region of Bastos, SP, Brazil, according to external environment and bird age. Data mining technique were used based on monthly mortality records of hens in production, 135 poultry houses, from January 2004 to August 2008. The external environment was characterized according maximum and minimum temperatures, obtained monthly at the meteorological station CATI in the city of Tupa, SP, Brazil. Mortality was classified as normal (<= 1.2%) or high (> 1.2%), considering the mortality limits mentioned in literature. Data mining technique produced a decision tree with nine levels and 23 leaves, with 62.6% of overall accuracy. The hit rate for the High class was 64.1% and 59.9% for Normal class. The decision tree allowed finding a pattern in the mortality data, generating a model for estimating mortality based on the thermal environment and bird age.Association of Farmers of BastosUniv Estadual Paulista, UNESP, BR-17602496 Tupa, SP, BrazilUniversidade Federal de Santa Maria (UFSM) RS, Dept Zootecnia, UFSM, Santa Maria, RS, BrazilPontificia Univ Catolica, Dep Matemat, Campinas, SP, BrazilUniv Estadual Paulista, UNESP, BR-17602496 Tupa, SP, BrazilFacta-fundacio Arnco Ciência Tecnologia AvicolasUniversidade Estadual Paulista (Unesp)Universidade Federal de Santa Maria (UFSM)Pontificia Univ CatolicaPereira, Danilo Florentino [UNESP]do Vale, M. M.Zevolli, B. R. [UNESP]Salgado, D. D.2014-05-20T13:12:15Z2014-05-20T13:12:15Z2010-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article265-271application/pdfhttp://dx.doi.org/10.1590/S1516-635X2010000400008Brazilian Journal of Poultry Science. Campinas: Facta-fundacio Arnco Ciência Tecnologia Avicolas, v. 12, n. 4, p. 265-271, 2010.1516-635Xhttp://hdl.handle.net/11449/239S1516-635X2010000400008WOS:000287072600008S1516-635X2010000400008-en.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBrazilian Journal of Poultry Science0.463info:eu-repo/semantics/openAccess2024-06-10T14:49:04Zoai:repositorio.unesp.br:11449/239Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:41:10.049276Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Estimating mortality in laying hens as the environmental temperature increases |
title |
Estimating mortality in laying hens as the environmental temperature increases |
spellingShingle |
Estimating mortality in laying hens as the environmental temperature increases Pereira, Danilo Florentino [UNESP] Data mining layer production mortality thermal comfort |
title_short |
Estimating mortality in laying hens as the environmental temperature increases |
title_full |
Estimating mortality in laying hens as the environmental temperature increases |
title_fullStr |
Estimating mortality in laying hens as the environmental temperature increases |
title_full_unstemmed |
Estimating mortality in laying hens as the environmental temperature increases |
title_sort |
Estimating mortality in laying hens as the environmental temperature increases |
author |
Pereira, Danilo Florentino [UNESP] |
author_facet |
Pereira, Danilo Florentino [UNESP] do Vale, M. M. Zevolli, B. R. [UNESP] Salgado, D. D. |
author_role |
author |
author2 |
do Vale, M. M. Zevolli, B. R. [UNESP] Salgado, D. D. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de Santa Maria (UFSM) Pontificia Univ Catolica |
dc.contributor.author.fl_str_mv |
Pereira, Danilo Florentino [UNESP] do Vale, M. M. Zevolli, B. R. [UNESP] Salgado, D. D. |
dc.subject.por.fl_str_mv |
Data mining layer production mortality thermal comfort |
topic |
Data mining layer production mortality thermal comfort |
description |
Layer mortality due to heat stress is an important economic loss for the producer. The aim of this study was to determine the mortality pattern of layers reared in the region of Bastos, SP, Brazil, according to external environment and bird age. Data mining technique were used based on monthly mortality records of hens in production, 135 poultry houses, from January 2004 to August 2008. The external environment was characterized according maximum and minimum temperatures, obtained monthly at the meteorological station CATI in the city of Tupa, SP, Brazil. Mortality was classified as normal (<= 1.2%) or high (> 1.2%), considering the mortality limits mentioned in literature. Data mining technique produced a decision tree with nine levels and 23 leaves, with 62.6% of overall accuracy. The hit rate for the High class was 64.1% and 59.9% for Normal class. The decision tree allowed finding a pattern in the mortality data, generating a model for estimating mortality based on the thermal environment and bird age. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-10-01 2014-05-20T13:12:15Z 2014-05-20T13:12:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1590/S1516-635X2010000400008 Brazilian Journal of Poultry Science. Campinas: Facta-fundacio Arnco Ciência Tecnologia Avicolas, v. 12, n. 4, p. 265-271, 2010. 1516-635X http://hdl.handle.net/11449/239 S1516-635X2010000400008 WOS:000287072600008 S1516-635X2010000400008-en.pdf |
url |
http://dx.doi.org/10.1590/S1516-635X2010000400008 http://hdl.handle.net/11449/239 |
identifier_str_mv |
Brazilian Journal of Poultry Science. Campinas: Facta-fundacio Arnco Ciência Tecnologia Avicolas, v. 12, n. 4, p. 265-271, 2010. 1516-635X S1516-635X2010000400008 WOS:000287072600008 S1516-635X2010000400008-en.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brazilian Journal of Poultry Science 0.463 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
265-271 application/pdf |
dc.publisher.none.fl_str_mv |
Facta-fundacio Arnco Ciência Tecnologia Avicolas |
publisher.none.fl_str_mv |
Facta-fundacio Arnco Ciência Tecnologia Avicolas |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128686779531264 |