Net Energy Prediction Equations Used in Chinese Yellow Chickens for Energy Evaluation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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=S1516-635X2021000300500 |
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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Brazilian Journal of Poultry Science (Online) |
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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 |
_version_ |
1754122515717816320 |