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British Poultry Science Volume 54, 2013 - Issue 4
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Nutrition & Metabolism

Study of broiler chicken responses to dietary protein and lysine using neural network and response surface models

A. Faridi Animal Sciences Department, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, IranCorrespondence[email protected] [email protected]
,
A. Golian Animal Sciences Department, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
,
J. France Centre for Nutrition Modelling, Department of Animal and Poultry Science, University of Guelph, Guelph, ON, Canada
&
A. Heravi Mousavi Animal Sciences Department, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran
Pages 524-530 | Accepted 25 Mar 2013, Published online: 01 Aug 2013

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A. Faridi, A. Gitoee, N.K. Sakomura, D.C.Z. Donato, C. Angelica Gonsalves, M. Feire Sarcinelli, M. Bernardino de Lima & J. France. (2016) Broiler responses to digestible total sulphur amino acids at different ages: a neural network approach. Journal of Applied Animal Research 44:1, pages 315-322.
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Articles from other publishers (6)

Freddy Alexander Horna Morillo, Marcos Macari, Matheus de Paula Reis, Guilherme Ferreira da Silva Teofilo, Rosiane de Souza Camargos & Nilva Kazue Sakomura. (2023) Energy requirements for maintenance as a function of body weight and critical temperature in broiler chickens. Livestock Science 277, pages 105340.
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M. Ghanaatparast-Rashti, M. Mottaghitalab & H. Ahmadi. (2018) In ovo feeding of nutrients and its impact on post-hatching water and feed deprivation up to 48 hr, energy status and jejunal morphology of chicks using response surface models. Journal of Animal Physiology and Animal Nutrition 102:2, pages e806-e817.
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Eduardo Souza do Nascimento, Cristina Amorim Ribeiro de Lima, Ronner Joaquim Mendonça Brasil, Noédson de Jesus Beltrão Machado, Felipe Dilelis de Resende Sousa & Gerusa da Silva Salles Corrêa. (2016) Digestible lysine for broiler chickens with lower genetic potential grown on free-range system. Ciência e Agrotecnologia 40:4, pages 454-463.
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A. Faridi, A. Gitoee, D. C. Z. Donato, J. France & N. K. Sakomura. (2016) Broiler responses to digestible threonine at different ages: a neural networks approach. Journal of Animal Physiology and Animal Nutrition 100:4, pages 738-747.
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A. Faridi, A. Gitoee & J. France. (2015) Evaluation of the effects of crude protein and lysine on the growth performance of two commercial strains of broilers using meta-analysis. Livestock Science 181, pages 77-84.
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Majid Mottaghitalab, Mohsen Nikkhah, Hassan Darmani-Kuhi, Secundino López & James France. (2015) Predicting methionine and lysine contents in soybean meal and fish meal using a group method of data handling-type neural network. Spanish Journal of Agricultural Research 13:1, pages e0601.
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