Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation

Detalhes bibliográficos
Autor(a) principal: Zou,Y
Data de Publicação: 2021
Outros Autores: Liu,S, Peng,Y, Chen,D, Tan,H
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=S1516-635X2021000300500
Resumo: ABSTRACT This study assessed whether the net energy (NE) system is beneficial for determining the efficiency of feed utilization in Chinese Yellow Chickens. A total of 5,600 male Chinese Yellow Chickens were assigned to eight dietary treatments (ten replicate pens per treatment and 70 chickens per pen) of differing apparent metabolizable energy (AME) and NE values. A highly significant linear correlation between dietary energy and feed conversion ratios (FCR) was observed (p<0.01). The linear regression equation between metabolizable energy (ME) and FCR was: AME=−1435.5×F/G+6278.2, where R²=0.8272. The linear regression equation between NE and FCR was NE=−1350.1×F/G+5340.9, and R²=0.9551. The R² of FCR (0.9551) for diets formulated using NE values was higher than the R² of FCR (0.8272) for diets prepared on the basis of the ME system. We conclude that the NE system is more accurate than the AME system for determining the energy requirements of Chinese Yellow Chickens.
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spelling Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy EvaluationNet energyChinese Yellow Chickensprediction equationABSTRACT This study assessed whether the net energy (NE) system is beneficial for determining the efficiency of feed utilization in Chinese Yellow Chickens. A total of 5,600 male Chinese Yellow Chickens were assigned to eight dietary treatments (ten replicate pens per treatment and 70 chickens per pen) of differing apparent metabolizable energy (AME) and NE values. A highly significant linear correlation between dietary energy and feed conversion ratios (FCR) was observed (p<0.01). The linear regression equation between metabolizable energy (ME) and FCR was: AME=−1435.5×F/G+6278.2, where R²=0.8272. The linear regression equation between NE and FCR was NE=−1350.1×F/G+5340.9, and R²=0.9551. The R² of FCR (0.9551) for diets formulated using NE values was higher than the R² of FCR (0.8272) for diets prepared on the basis of the ME system. We conclude that the NE system is more accurate than the AME system for determining the energy requirements of Chinese Yellow Chickens.Fundacao de Apoio a Ciência e Tecnologia Avicolas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2021000300500Brazilian Journal of Poultry Science v.23 n.3 2021reponame:Brazilian Journal of Poultry Science (Online)instname:Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)instacron:FACTA10.1590/1806-9061-2020-1293info:eu-repo/semantics/openAccessZou,YLiu,SPeng,YChen,DTan,Heng2021-11-26T00:00:00Zoai:scielo:S1516-635X2021000300500Revistahttp://www.scielo.br/rbcahttps://old.scielo.br/oai/scielo-oai.php||rvfacta@terra.com.br1806-90611516-635Xopendoar:2021-11-26T00:00Brazilian Journal of Poultry Science (Online) - Fundação APINCO de Ciência e Tecnologia Avícolas (FACTA)false
dc.title.none.fl_str_mv Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
title Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
spellingShingle Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
Zou,Y
Net energy
Chinese Yellow Chickens
prediction equation
title_short Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
title_full Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
title_fullStr Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
title_full_unstemmed Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
title_sort Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
author Zou,Y
author_facet Zou,Y
Liu,S
Peng,Y
Chen,D
Tan,H
author_role author
author2 Liu,S
Peng,Y
Chen,D
Tan,H
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Zou,Y
Liu,S
Peng,Y
Chen,D
Tan,H
dc.subject.por.fl_str_mv Net energy
Chinese Yellow Chickens
prediction equation
topic Net energy
Chinese Yellow Chickens
prediction equation
description ABSTRACT This study assessed whether the net energy (NE) system is beneficial for determining the efficiency of feed utilization in Chinese Yellow Chickens. A total of 5,600 male Chinese Yellow Chickens were assigned to eight dietary treatments (ten replicate pens per treatment and 70 chickens per pen) of differing apparent metabolizable energy (AME) and NE values. A highly significant linear correlation between dietary energy and feed conversion ratios (FCR) was observed (p<0.01). The linear regression equation between metabolizable energy (ME) and FCR was: AME=−1435.5×F/G+6278.2, where R²=0.8272. The linear regression equation between NE and FCR was NE=−1350.1×F/G+5340.9, and R²=0.9551. The R² of FCR (0.9551) for diets formulated using NE values was higher than the R² of FCR (0.8272) for diets prepared on the basis of the ME system. We conclude that the NE system is more accurate than the AME system for determining the energy requirements of Chinese Yellow Chickens.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S1516-635X2021000300500
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2021000300500
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-9061-2020-1293
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.23 n.3 2021
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
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