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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
25/09/2020 |
Data da última atualização: |
11/01/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BRANCO, T.; MOURA, D. J.; NÄÄS, I. A.; OLIVEIRA, S. R. de M. |
Afiliação: |
TATIANE BRANCO, Feagri/Unicamp; DANIELLA J. MOURA, Feagri/Unicamp; IRENILZA ALENCAR NÄÄS, Feagri/Unicamp; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA. |
Título: |
Detection of broiler heat stress by using the generalised sequential pattern algorithm. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Biosystems Engineering, v. 199, p. 121-126, Nov. 2020. |
DOI: |
https://doi.org/10.1016/j.biosystemseng.2019.10.012 |
Idioma: |
Inglês |
Notas: |
Na publicação: Stanley R. M. Oliveira. |
Conteúdo: |
The sequence pattern mining method aims to identify frequent sequences that exceed a user-specified support threshold. The present study uses the same approach based on sequential standards to estimate the heat stress of broilers from a resulting behavioural pattern. Experimental data were recorded in a climate chamber where the behaviour of broilers was recorded under thermoneutral (comfort) conditions, set as standard, and when exposed to thermal stress (cold and heat). The Generalised Sequential Patterns (GSP) algorithm was used to evaluate the heat stress of broilers in the third and fourth week of growth. The results indicated that the mining of pattern sequences is a useful and straightforward technique to estimate the welfare of broiler chickens, allowing the identification of temporal relations between thermal stress and the consequent behaviour of the broiler. Temperature 8 oC below the standard thermoneutral conditions showed that the broiler remained lying down most of the time, walking only to the drinker and feeder trough. Broilers exposed to temperatures 8 oC above the standard thermoneutral conditions () tend to decrease locomotor activities, showing lower welfare status. |
Palavras-Chave: |
Behavioural pattern; Bem estar animal; Broiler; Data mining algorithm; Detection of sequential frequency; Mineração de dados; Padrão de comportamento; Stress térmico. |
Thesagro: |
Frango. |
Thesaurus Nal: |
Animal welfare; Heat stress. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02190naa a2200313 a 4500 001 2125113 005 2021-01-11 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.biosystemseng.2019.10.012$2DOI 100 1 $aBRANCO, T. 245 $aDetection of broiler heat stress by using the generalised sequential pattern algorithm.$h[electronic resource] 260 $c2020 500 $aNa publicação: Stanley R. M. Oliveira. 520 $aThe sequence pattern mining method aims to identify frequent sequences that exceed a user-specified support threshold. The present study uses the same approach based on sequential standards to estimate the heat stress of broilers from a resulting behavioural pattern. Experimental data were recorded in a climate chamber where the behaviour of broilers was recorded under thermoneutral (comfort) conditions, set as standard, and when exposed to thermal stress (cold and heat). The Generalised Sequential Patterns (GSP) algorithm was used to evaluate the heat stress of broilers in the third and fourth week of growth. The results indicated that the mining of pattern sequences is a useful and straightforward technique to estimate the welfare of broiler chickens, allowing the identification of temporal relations between thermal stress and the consequent behaviour of the broiler. Temperature 8 oC below the standard thermoneutral conditions showed that the broiler remained lying down most of the time, walking only to the drinker and feeder trough. Broilers exposed to temperatures 8 oC above the standard thermoneutral conditions () tend to decrease locomotor activities, showing lower welfare status. 650 $aAnimal welfare 650 $aHeat stress 650 $aFrango 653 $aBehavioural pattern 653 $aBem estar animal 653 $aBroiler 653 $aData mining algorithm 653 $aDetection of sequential frequency 653 $aMineração de dados 653 $aPadrão de comportamento 653 $aStress térmico 700 1 $aMOURA, D. J. 700 1 $aNÄÄS, I. A. 700 1 $aOLIVEIRA, S. R. de M. 773 $tBiosystems Engineering$gv. 199, p. 121-126, Nov. 2020.
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2. |  | PINTO, L. F. G.; GONÇALVES, E. T.; BERKEMBROCK, D.; YAMADA, M.; SORICE, L. Características, potencial e limitações de diferentes modalidades de certificação socio-ambiental para sistemas agroflorestais. Cadernos de Ciência & Tecnologia, Brasília, DF, v. 30, n. 1/3, p. 11-32, jan/dez. 2013.Biblioteca(s): Embrapa Solos / UEP-Recife; Embrapa Unidades Centrais. |
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