Response surface models to predict broiler performance and applications for economic analysis
Autor(a) principal: | |
---|---|
Data de Publicação: | 2008 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Journal of Poultry Science (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2008000200009 |
Resumo: | A study was carried out to elaborate response surface models using broiler performance data recovered from literature in order to predict performance and elaborate economic analyses. Nineteen studies published between 1995 and 2005 were retrieved using the systematic literature review method. Weight gain and feed conversion data were collected from eight studies that fulfilled the pre-established inclusion criteria, and a response surface model was adjusted using crude protein, environmental temperature, and age as independent variables. The models produced for weight gain (r² = 0.93) and feed conversion (r² = 0.85) were accurate, precise, and not biased. Protein levels, environmental temperature and age showed linear and quadratic effects on weight gain and feed conversion. There was no interaction between protein level and environmental temperature. Age and crude protein showed interaction for weight gain and feed conversion, whereas interaction between age and temperature was detected only for weight gain. It was possible to perform economic analyses to determine maximum profit as a function of the variables that were included in the model. It was concluded that the response surface models are effective to predict the performance of broiler chickens and allow the elaboration of economic analyses to optimize profit. |
id |
FACTA-1_cbd9110cd0bbcb8e2caefd96969fcf65 |
---|---|
oai_identifier_str |
oai:scielo:S1516-635X2008000200009 |
network_acronym_str |
FACTA-1 |
network_name_str |
Brazilian Journal of Poultry Science (Online) |
repository_id_str |
|
spelling |
Response surface models to predict broiler performance and applications for economic analysisCrude proteinenvironmental temperatureregression analysisresponse surfaceslaughter agesystematic literature reviewA study was carried out to elaborate response surface models using broiler performance data recovered from literature in order to predict performance and elaborate economic analyses. Nineteen studies published between 1995 and 2005 were retrieved using the systematic literature review method. Weight gain and feed conversion data were collected from eight studies that fulfilled the pre-established inclusion criteria, and a response surface model was adjusted using crude protein, environmental temperature, and age as independent variables. The models produced for weight gain (r² = 0.93) and feed conversion (r² = 0.85) were accurate, precise, and not biased. Protein levels, environmental temperature and age showed linear and quadratic effects on weight gain and feed conversion. There was no interaction between protein level and environmental temperature. Age and crude protein showed interaction for weight gain and feed conversion, whereas interaction between age and temperature was detected only for weight gain. It was possible to perform economic analyses to determine maximum profit as a function of the variables that were included in the model. It was concluded that the response surface models are effective to predict the performance of broiler chickens and allow the elaboration of economic analyses to optimize profit.Fundacao de Apoio a Ciência e Tecnologia Avicolas2008-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2008000200009Brazilian Journal of Poultry Science v.10 n.2 2008reponame:Brazilian Journal of Poultry Science (Online)instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)instacron:FACTA10.1590/S1516-635X2008000200009info:eu-repo/semantics/openAccessFaria Filho,DERosa,PSTorres,KAAMacari,MFurlan,RLeng2008-09-26T00:00:00Zoai:scielo:S1516-635X2008000200009Revistahttp://www.scielo.br/rbcahttps://old.scielo.br/oai/scielo-oai.php||rvfacta@terra.com.br1806-90611516-635Xopendoar:2008-09-26T00:00Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)false |
dc.title.none.fl_str_mv |
Response surface models to predict broiler performance and applications for economic analysis |
title |
Response surface models to predict broiler performance and applications for economic analysis |
spellingShingle |
Response surface models to predict broiler performance and applications for economic analysis Faria Filho,DE Crude protein environmental temperature regression analysis response surface slaughter age systematic literature review |
title_short |
Response surface models to predict broiler performance and applications for economic analysis |
title_full |
Response surface models to predict broiler performance and applications for economic analysis |
title_fullStr |
Response surface models to predict broiler performance and applications for economic analysis |
title_full_unstemmed |
Response surface models to predict broiler performance and applications for economic analysis |
title_sort |
Response surface models to predict broiler performance and applications for economic analysis |
author |
Faria Filho,DE |
author_facet |
Faria Filho,DE Rosa,PS Torres,KAA Macari,M Furlan,RL |
author_role |
author |
author2 |
Rosa,PS Torres,KAA Macari,M Furlan,RL |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Faria Filho,DE Rosa,PS Torres,KAA Macari,M Furlan,RL |
dc.subject.por.fl_str_mv |
Crude protein environmental temperature regression analysis response surface slaughter age systematic literature review |
topic |
Crude protein environmental temperature regression analysis response surface slaughter age systematic literature review |
description |
A study was carried out to elaborate response surface models using broiler performance data recovered from literature in order to predict performance and elaborate economic analyses. Nineteen studies published between 1995 and 2005 were retrieved using the systematic literature review method. Weight gain and feed conversion data were collected from eight studies that fulfilled the pre-established inclusion criteria, and a response surface model was adjusted using crude protein, environmental temperature, and age as independent variables. The models produced for weight gain (r² = 0.93) and feed conversion (r² = 0.85) were accurate, precise, and not biased. Protein levels, environmental temperature and age showed linear and quadratic effects on weight gain and feed conversion. There was no interaction between protein level and environmental temperature. Age and crude protein showed interaction for weight gain and feed conversion, whereas interaction between age and temperature was detected only for weight gain. It was possible to perform economic analyses to determine maximum profit as a function of the variables that were included in the model. It was concluded that the response surface models are effective to predict the performance of broiler chickens and allow the elaboration of economic analyses to optimize profit. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-06-01 |
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=S1516-635X2008000200009 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2008000200009 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1516-635X2008000200009 |
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 |
Fundacao de Apoio a Ciência e Tecnologia Avicolas |
publisher.none.fl_str_mv |
Fundacao de Apoio a Ciência e Tecnologia Avicolas |
dc.source.none.fl_str_mv |
Brazilian Journal of Poultry Science v.10 n.2 2008 reponame:Brazilian Journal of Poultry Science (Online) instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA) instacron:FACTA |
instname_str |
Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA) |
instacron_str |
FACTA |
institution |
FACTA |
reponame_str |
Brazilian Journal of Poultry Science (Online) |
collection |
Brazilian Journal of Poultry Science (Online) |
repository.name.fl_str_mv |
Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA) |
repository.mail.fl_str_mv |
||rvfacta@terra.com.br |
_version_ |
1754122511414460416 |