Architecture of broiler breeder energy partitioning models

ABSTRACT: A robust model that estimates the ME intake over broiler breeder lifetime is essential for formulating diets with optimum nutrient levels. The experiment was conducted as a randomized controlled trial with 40 Ross 708 broiler breeder pullets reared on 1 of 10 target growth trajectories, wh...

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Autores principales:	Mohammad Afrouziyeh, Nicole M. Zukiwsky, Jihao You, René P. Kwakkel, Douglas R. Korver, Martin J. Zuidhof
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	broiler breeder feed restriction energy partitioning model prediction optimization random term Animal culture SF1-1100
Acceso en línea:	https://doaj.org/article/5d8ee67d05b64a8488b9ceccb923e73f
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spelling	oai:doaj.org-article:5d8ee67d05b64a8488b9ceccb923e73f2021-11-24T04:22:54ZArchitecture of broiler breeder energy partitioning models0032-579110.1016/j.psj.2021.101518https://doaj.org/article/5d8ee67d05b64a8488b9ceccb923e73f2022-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S003257912100540Xhttps://doaj.org/toc/0032-5791ABSTRACT: A robust model that estimates the ME intake over broiler breeder lifetime is essential for formulating diets with optimum nutrient levels. The experiment was conducted as a randomized controlled trial with 40 Ross 708 broiler breeder pullets reared on 1 of 10 target growth trajectories, which were designed with 2 levels of cumulative BW gain in prepubertal growth phase and 5 levels of timing of growth around puberty. This study investigated the effect of growth pattern on energy efficiency of birds and tested the effects of dividing data into daily, 4-d, weekly, 2-wk, and 3-wk periods and the inclusion of random terms associated with individual maintenance ME and ADG requirements, and age on ME partitioning model fit and predictive performance. Model [I] was: MEId = a × BWb + c × ADGp + d × ADGn + e × EM + ε, where MEId was daily ME intake (kcal/d); BW in kg; ADGp was positive ADG; ADGn was negative ADG (g/d); EM was egg mass (g/d); ε was the model residual. Models [II to IV] were nonlinear mixed models based on the model [I] with inclusion of a random term for individual maintenance requirement, age, and ADG, respectively. Model [II] – 3 wk was chosen as the most parsimonious based on lower autocorrelation bias, closer fit of the estimates to the actual data (lower model MSE and closer R2 to 1), and greater predictive performance among the models. Estimated ME partitioned to maintenance in model [II] – 3 wk was 100.47 ± 7.43 kcal/kg0.56, and the ME requirement for ADGp, ADGn, and EM were 3.49 ± 0.37; 3.16 ± 3.91; and 2.96 ± 0.13 kcal/g, respectively. Standard treatment had lower residual heat production (RHP; -0.68 kcal/kg BW0.56) than high early growth treatment (0.79 kcal/kg BW0.56), indicating greater efficiency in utilizing the ME consumed. Including random term associated with individual maintenance ME in a 3-wk chunk size provided a robust, biologically sound life-time energy partitioning model for breeders.Mohammad AfrouziyehNicole M. ZukiwskyJihao YouRené P. KwakkelDouglas R. KorverMartin J. ZuidhofElsevierarticlebroiler breederfeed restrictionenergy partitioning modelprediction optimizationrandom termAnimal cultureSF1-1100ENPoultry Science, Vol 101, Iss 1, Pp 101518- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	broiler breeder feed restriction energy partitioning model prediction optimization random term Animal culture SF1-1100
spellingShingle	broiler breeder feed restriction energy partitioning model prediction optimization random term Animal culture SF1-1100 Mohammad Afrouziyeh Nicole M. Zukiwsky Jihao You René P. Kwakkel Douglas R. Korver Martin J. Zuidhof Architecture of broiler breeder energy partitioning models
description	ABSTRACT: A robust model that estimates the ME intake over broiler breeder lifetime is essential for formulating diets with optimum nutrient levels. The experiment was conducted as a randomized controlled trial with 40 Ross 708 broiler breeder pullets reared on 1 of 10 target growth trajectories, which were designed with 2 levels of cumulative BW gain in prepubertal growth phase and 5 levels of timing of growth around puberty. This study investigated the effect of growth pattern on energy efficiency of birds and tested the effects of dividing data into daily, 4-d, weekly, 2-wk, and 3-wk periods and the inclusion of random terms associated with individual maintenance ME and ADG requirements, and age on ME partitioning model fit and predictive performance. Model [I] was: MEId = a × BWb + c × ADGp + d × ADGn + e × EM + ε, where MEId was daily ME intake (kcal/d); BW in kg; ADGp was positive ADG; ADGn was negative ADG (g/d); EM was egg mass (g/d); ε was the model residual. Models [II to IV] were nonlinear mixed models based on the model [I] with inclusion of a random term for individual maintenance requirement, age, and ADG, respectively. Model [II] – 3 wk was chosen as the most parsimonious based on lower autocorrelation bias, closer fit of the estimates to the actual data (lower model MSE and closer R2 to 1), and greater predictive performance among the models. Estimated ME partitioned to maintenance in model [II] – 3 wk was 100.47 ± 7.43 kcal/kg0.56, and the ME requirement for ADGp, ADGn, and EM were 3.49 ± 0.37; 3.16 ± 3.91; and 2.96 ± 0.13 kcal/g, respectively. Standard treatment had lower residual heat production (RHP; -0.68 kcal/kg BW0.56) than high early growth treatment (0.79 kcal/kg BW0.56), indicating greater efficiency in utilizing the ME consumed. Including random term associated with individual maintenance ME in a 3-wk chunk size provided a robust, biologically sound life-time energy partitioning model for breeders.
format	article
author	Mohammad Afrouziyeh Nicole M. Zukiwsky Jihao You René P. Kwakkel Douglas R. Korver Martin J. Zuidhof
author_facet	Mohammad Afrouziyeh Nicole M. Zukiwsky Jihao You René P. Kwakkel Douglas R. Korver Martin J. Zuidhof
author_sort	Mohammad Afrouziyeh
title	Architecture of broiler breeder energy partitioning models
title_short	Architecture of broiler breeder energy partitioning models
title_full	Architecture of broiler breeder energy partitioning models
title_fullStr	Architecture of broiler breeder energy partitioning models
title_full_unstemmed	Architecture of broiler breeder energy partitioning models
title_sort	architecture of broiler breeder energy partitioning models
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/5d8ee67d05b64a8488b9ceccb923e73f
work_keys_str_mv	AT mohammadafrouziyeh architectureofbroilerbreederenergypartitioningmodels AT nicolemzukiwsky architectureofbroilerbreederenergypartitioningmodels AT jihaoyou architectureofbroilerbreederenergypartitioningmodels AT renepkwakkel architectureofbroilerbreederenergypartitioningmodels AT douglasrkorver architectureofbroilerbreederenergypartitioningmodels AT martinjzuidhof architectureofbroilerbreederenergypartitioningmodels
_version_	1718416035085811712

Architecture of broiler breeder energy partitioning models

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