Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | https://locus.ufv.br//handle/123456789/30320 https://doi.org/10.37496/rbz5020200262 |
Resumo: | An experiment with 23 diets was performed to evaluate the effect of digestible lysine (Lys), digestible methionine + cysteine (Met+Cys), and digestible threonine (Thr) on egg production of H&N Brown second-cycle laying hens (SCLH) for 20 weeks (92-111 weeks of age) in cages under environmental conditions. Body weight (BW), feed intake (FI), feed conversion ratio (FCR), egg weight (EW), number of hen-housed eggs, and livability were also evaluated during the experiment. Diets were formulated from a central composite design that combined five levels of Lys, Met+Cys, and Thr ranging from 727 to 1159, 662 to 1055, and 552 to 882 mg/kg, respectively. Egg production (EP) data were evaluated through three different modeling strategies: egg production models, multivariate polynomial models, and artificial neural networks (ANN). A cascade-forward neural network with logsigmoid transfer function was selected as the best model according to goodness-offit statistics in both identification and validation data. One of the best scenarios for EP of H&N Brown SCLH under specific outdoor conditions was established at Lys, Met+Cys, and Thr levels of 1138, 1031, and 717 mg/hen·day, respectively. The ANN model may be an appropriate tool to study and predict EP of H&N Brown SCLH based on the combination of three different levels of essential digestible amino acids. The strategies included in this work may contribute to improving poultry performance based on modeling techniques to study other production parameters in terms of different nutritional requirements and productive conditions |
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Morales-Suárez, WalterOspina-Rojas, Iván CamiloMéndez-Arteaga, Jonh JairoFerreira, Adriana Helena do NascimentoVáquiro-Herrera, Henry Alexander2022-12-20T18:25:20Z2022-12-20T18:25:20Z2021-07-30Morales-Suárez, W.; Ospina-Rojas, I. C.; Méndez-Arteaga, J. J.; Ferreira, A. H. N. and Váquiro-Herrera, H. A. 2021. Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens. Revista Brasileira de Zootecnia 50:e202002621806-9290https://locus.ufv.br//handle/123456789/30320https://doi.org/10.37496/rbz5020200262An experiment with 23 diets was performed to evaluate the effect of digestible lysine (Lys), digestible methionine + cysteine (Met+Cys), and digestible threonine (Thr) on egg production of H&N Brown second-cycle laying hens (SCLH) for 20 weeks (92-111 weeks of age) in cages under environmental conditions. Body weight (BW), feed intake (FI), feed conversion ratio (FCR), egg weight (EW), number of hen-housed eggs, and livability were also evaluated during the experiment. Diets were formulated from a central composite design that combined five levels of Lys, Met+Cys, and Thr ranging from 727 to 1159, 662 to 1055, and 552 to 882 mg/kg, respectively. Egg production (EP) data were evaluated through three different modeling strategies: egg production models, multivariate polynomial models, and artificial neural networks (ANN). A cascade-forward neural network with logsigmoid transfer function was selected as the best model according to goodness-offit statistics in both identification and validation data. One of the best scenarios for EP of H&N Brown SCLH under specific outdoor conditions was established at Lys, Met+Cys, and Thr levels of 1138, 1031, and 717 mg/hen·day, respectively. The ANN model may be an appropriate tool to study and predict EP of H&N Brown SCLH based on the combination of three different levels of essential digestible amino acids. The strategies included in this work may contribute to improving poultry performance based on modeling techniques to study other production parameters in terms of different nutritional requirements and productive conditionsengBrazilian Journal of Animal ScienceR. Bras. Zootec., 50:e20200262, 2021Creative Commons Attribution Licenseinfo:eu-repo/semantics/openAccessbird nutritionegg layingmathematical modelmultivariate analysispoultrynonlinear modelMultivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hensinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlereponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINAL1806-9290-rbz-50-e20200262.pdf1806-9290-rbz-50-e20200262.pdfartigoapplication/pdf1911090https://locus.ufv.br//bitstream/123456789/30320/1/1806-9290-rbz-50-e20200262.pdf0239b831a3935d2b6823e95eb09cc6e9MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/30320/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/303202022-12-20 15:25:20.433oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452022-12-20T18:25:20LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
title |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
spellingShingle |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens Morales-Suárez, Walter bird nutrition egg laying mathematical model multivariate analysis poultry nonlinear model |
title_short |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
title_full |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
title_fullStr |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
title_full_unstemmed |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
title_sort |
Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens |
author |
Morales-Suárez, Walter |
author_facet |
Morales-Suárez, Walter Ospina-Rojas, Iván Camilo Méndez-Arteaga, Jonh Jairo Ferreira, Adriana Helena do Nascimento Váquiro-Herrera, Henry Alexander |
author_role |
author |
author2 |
Ospina-Rojas, Iván Camilo Méndez-Arteaga, Jonh Jairo Ferreira, Adriana Helena do Nascimento Váquiro-Herrera, Henry Alexander |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Morales-Suárez, Walter Ospina-Rojas, Iván Camilo Méndez-Arteaga, Jonh Jairo Ferreira, Adriana Helena do Nascimento Váquiro-Herrera, Henry Alexander |
dc.subject.eng.fl_str_mv |
bird nutrition egg laying mathematical model multivariate analysis poultry nonlinear model |
topic |
bird nutrition egg laying mathematical model multivariate analysis poultry nonlinear model |
description |
An experiment with 23 diets was performed to evaluate the effect of digestible lysine (Lys), digestible methionine + cysteine (Met+Cys), and digestible threonine (Thr) on egg production of H&N Brown second-cycle laying hens (SCLH) for 20 weeks (92-111 weeks of age) in cages under environmental conditions. Body weight (BW), feed intake (FI), feed conversion ratio (FCR), egg weight (EW), number of hen-housed eggs, and livability were also evaluated during the experiment. Diets were formulated from a central composite design that combined five levels of Lys, Met+Cys, and Thr ranging from 727 to 1159, 662 to 1055, and 552 to 882 mg/kg, respectively. Egg production (EP) data were evaluated through three different modeling strategies: egg production models, multivariate polynomial models, and artificial neural networks (ANN). A cascade-forward neural network with logsigmoid transfer function was selected as the best model according to goodness-offit statistics in both identification and validation data. One of the best scenarios for EP of H&N Brown SCLH under specific outdoor conditions was established at Lys, Met+Cys, and Thr levels of 1138, 1031, and 717 mg/hen·day, respectively. The ANN model may be an appropriate tool to study and predict EP of H&N Brown SCLH based on the combination of three different levels of essential digestible amino acids. The strategies included in this work may contribute to improving poultry performance based on modeling techniques to study other production parameters in terms of different nutritional requirements and productive conditions |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-07-30 |
dc.date.accessioned.fl_str_mv |
2022-12-20T18:25:20Z |
dc.date.available.fl_str_mv |
2022-12-20T18:25:20Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
Morales-Suárez, W.; Ospina-Rojas, I. C.; Méndez-Arteaga, J. J.; Ferreira, A. H. N. and Váquiro-Herrera, H. A. 2021. Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens. Revista Brasileira de Zootecnia 50:e20200262 |
dc.identifier.uri.fl_str_mv |
https://locus.ufv.br//handle/123456789/30320 |
dc.identifier.issn.none.fl_str_mv |
1806-9290 |
dc.identifier.doi.pt-BR.fl_str_mv |
https://doi.org/10.37496/rbz5020200262 |
identifier_str_mv |
Morales-Suárez, W.; Ospina-Rojas, I. C.; Méndez-Arteaga, J. J.; Ferreira, A. H. N. and Váquiro-Herrera, H. A. 2021. Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens. Revista Brasileira de Zootecnia 50:e20200262 1806-9290 |
url |
https://locus.ufv.br//handle/123456789/30320 https://doi.org/10.37496/rbz5020200262 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
R. Bras. Zootec., 50:e20200262, 2021 |
dc.rights.driver.fl_str_mv |
Creative Commons Attribution License info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Creative Commons Attribution License |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Brazilian Journal of Animal Science |
publisher.none.fl_str_mv |
Brazilian Journal of Animal Science |
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reponame:LOCUS Repositório Institucional da UFV instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
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LOCUS Repositório Institucional da UFV |
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