Multivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens

dc.creatorMorales-Suárez, Walter
dc.creatorOspina-Rojas, Iván Camilo
dc.creatorMéndez-Arteaga, Jonh Jairo
dc.creatorFerreira, Adriana Helena do Nascimento
dc.creatorVáquiro-Herrera, Henry Alexander
dc.date2022-12-20T18:25:20Z
dc.date2022-12-20T18:25:20Z
dc.date2021-07-30
dc.date.accessioned2023-09-27T21:23:59Z
dc.date.available2023-09-27T21:23:59Z
dc.identifierMorales-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.identifier1806-9290
dc.identifierhttps://locus.ufv.br//handle/123456789/30320
dc.identifierhttps://doi.org/10.37496/rbz5020200262
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8959961
dc.descriptionAn 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
dc.formatapplication/pdf
dc.languageeng
dc.publisherBrazilian Journal of Animal Science
dc.relationR. Bras. Zootec., 50:e20200262, 2021
dc.rightsCreative Commons Attribution License
dc.subjectbird nutrition
dc.subjectegg laying
dc.subjectmathematical model
dc.subjectmultivariate analysis
dc.subjectpoultry
dc.subjectnonlinear model
dc.titleMultivariate modeling strategies to predict nutritional requirements of essential amino acids in semiheavy second-cycle hens
dc.typeArtigo


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