Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens
ABSTRACT 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 enviro...
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| Format: | Article |
| Language: | English |
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Sociedade Brasileira de Zootecnia
2021-08-01
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| Series: | Revista Brasileira de Zootecnia |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100608&tlng=en |
| _version_ | 1818951219785236480 |
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| author | Walter Morales-Suárez Iván Camilo Ospina-Rojas Jonh Jairo Méndez-Arteaga Adriana Helena do Nascimento Ferreira Henry Alexander Váquiro-Herrera |
| author_facet | Walter Morales-Suárez Iván Camilo Ospina-Rojas Jonh Jairo Méndez-Arteaga Adriana Helena do Nascimento Ferreira Henry Alexander Váquiro-Herrera |
| author_sort | Walter Morales-Suárez |
| collection | DOAJ |
| description | ABSTRACT 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 log-sigmoid transfer function was selected as the best model according to goodness-of-fit 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. |
| first_indexed | 2024-12-20T09:31:01Z |
| format | Article |
| id | doaj.art-4f86da4dc2784b088e0515e70e5080e6 |
| institution | Directory Open Access Journal |
| issn | 1806-9290 |
| language | English |
| last_indexed | 2024-12-20T09:31:01Z |
| publishDate | 2021-08-01 |
| publisher | Sociedade Brasileira de Zootecnia |
| record_format | Article |
| series | Revista Brasileira de Zootecnia |
| spelling | doaj.art-4f86da4dc2784b088e0515e70e5080e62022-12-21T19:45:05ZengSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia1806-92902021-08-015010.37496/rbz5020200262Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hensWalter Morales-Suárezhttps://orcid.org/0000-0001-8962-954XIván Camilo Ospina-Rojashttps://orcid.org/0000-0001-6457-3535Jonh Jairo Méndez-Arteagahttps://orcid.org/0000-0001-8503-352XAdriana Helena do Nascimento Ferreirahttps://orcid.org/0000-0002-3980-9371Henry Alexander Váquiro-Herrerahttps://orcid.org/0000-0002-9684-1423ABSTRACT 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 log-sigmoid transfer function was selected as the best model according to goodness-of-fit 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100608&tlng=enbird nutritionegg layingmathematical modelmultivariate analysisnonlinear modelpoultry |
| spellingShingle | Walter Morales-Suárez Iván Camilo Ospina-Rojas Jonh Jairo Méndez-Arteaga Adriana Helena do Nascimento Ferreira Henry Alexander Váquiro-Herrera Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens Revista Brasileira de Zootecnia bird nutrition egg laying mathematical model multivariate analysis nonlinear model poultry |
| title | 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_short | 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 |
| topic | bird nutrition egg laying mathematical model multivariate analysis nonlinear model poultry |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100608&tlng=en |
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