Estimating mortality in laying hens as the environmental temperature increases
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Fundação APINCO de Ciência e Tecnologia Avícolas
2010
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| _version_ | 1876438730087071744 |
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| author | DF Pereira |
| author_facet | DF Pereira |
| contents | Estimating mortality in laying hens as the environmental temperature increases DF Pereira MM do Vale BR Zevolli DD Salgado Agrociencias mortality Data mining thermal comfort layer production 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 Tupã, 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. 2010 artículo científico 1516-635X https://www.redalyc.org/articulo.oa?id=179715864008 en http://www.redalyc.org/revista.oa?id=1797 Revista Brasileira de Ciência Avícola application/pdf Fundação APINCO de Ciência e Tecnologia Avícolas Revista Brasileira de Ciência Avícola (Brasil) Num.4 Vol.12 |
| format | Artículo científico |
| id | redalyc_179715864008 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Fundação APINCO de Ciência e Tecnologia Avícolas |
| spellingShingle | Estimating mortality in laying hens as the environmental temperature increases DF Pereira Agrociencias mortality Data mining thermal comfort layer production Estimating mortality in laying hens as the environmental temperature increases DF Pereira MM do Vale BR Zevolli DD Salgado Agrociencias mortality Data mining thermal comfort layer production 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 Tupã, 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. 2010 artículo científico 1516-635X https://www.redalyc.org/articulo.oa?id=179715864008 en http://www.redalyc.org/revista.oa?id=1797 Revista Brasileira de Ciência Avícola application/pdf Fundação APINCO de Ciência e Tecnologia Avícolas Revista Brasileira de Ciência Avícola (Brasil) Num.4 Vol.12 |
| title | Estimating mortality in laying hens as the environmental temperature increases |
| topic | Agrociencias mortality Data mining thermal comfort layer production |
| url | https://www.redalyc.org/articulo.oa?id=179715864008 |