Literature DB >> 29982745

Energy partitioning by broiler breeder pullets in skip-a-day and precision feeding systems.

S H Hadinia1, P R O Carneiro1, C A Ouellette1, M J Zuidhof1.   

Abstract

An empirical nonlinear mixed model was derived to describe metabolizable energy (ME) partitioning in Ross 308 broiler breeder pullets. Its coefficients described ME used for total heat production (HP) and growth. A total of 630 pullets were randomly and equally assigned to 2 treatments: precision feeding (PF) and conventional skip-a-day feeding (CON) from 10 to 23 wk of age. The PF system allowed birds to enter voluntarily at any time, weighed them, and provided access to feed for 60 s if their BW was less than the target BW. Birds in the CON treatment were fed as a group on alternate days. Energetic efficiency of pullets was evaluated using residual total heat production (RHP), defined as the difference between observed and predicted total HP. Additionally, ME intake (MEI), ADG, HP, and cumulative feed conversion ratio (FCR) were calculated for the entire experimental period. The energy partitioning model (P < 0.05) predicted MEI = (120+u)BW0.68 + 1.52(ADG) + ε. Total HP was (120 kcal/kg0.68 + u); the energy requirement for each g of BW gain was 1.52 kcal/d. The random variable u ∼ N (0, σu2) indicated a pen level HP standard deviation σu = 12.1 kcal/kg0.68. Over the experimental period, for CON and PF treatments, respectively, MEI was 194 and 174 kcal/d (P < 0.001); ADG was 15.3 and 15.4 g/d (P = 0.94); HP was 129 and 111 kcal/kg0.68 (P < 0.001); FCR was 4.888 and 4.057 (P < 0.001); and RHP was 0.12 and -0.12 kcal/kg0.68 (P = 0.73). The CON pullets had similar ADG, but higher MEI relative to PF, consistent with levels of heat production predicted by RHP. The PF pullets had lower cumulative FCR compared to CON pullets. The PF pullets lost less energy as heat, likely because they were fed continuously, reducing the need to store and mobilize nutrients compared to CON pullets. Thus, increased feeding frequency likely increased PF pullet efficiency.

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Year:  2018        PMID: 29982745      PMCID: PMC6305833          DOI: 10.3382/ps/pey283

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  5 in total

Review 1.  Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

Authors:  Sarah Morrone; Corrado Dimauro; Filippo Gambella; Maria Grazia Cappai
Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

2.  Impact of growth curve and dietary energy-to-protein ratio on productive performance of broiler breeders.

Authors:  J Heijmans; M Duijster; W J J Gerrits; B Kemp; R P Kwakkel; H van den Brand
Journal:  Poult Sci       Date:  2021-03-15       Impact factor: 3.352

3.  Comparison of mathematical and comparative slaughter methodologies for determination of heat production and energy retention in broilers.

Authors:  S A S van der Klein; J A More-Bayona; D R Barreda; L F Romero; M J Zuidhof
Journal:  Poult Sci       Date:  2020-03-05       Impact factor: 3.352

4.  Modeling life-time energy partitioning in broiler breeders with differing body weight and rearing photoperiods.

Authors:  S A S van der Klein; G Y Bédécarrats; M J Zuidhof
Journal:  Poult Sci       Date:  2020-06-19       Impact factor: 3.352

5.  Energy partitioning by broiler breeder hens in conventional daily-restricted feeding and precision feeding systems.

Authors:  S H Hadinia; P R O Carneiro; D R Korver; M J Zuidhof
Journal:  Poult Sci       Date:  2019-12-01       Impact factor: 3.352

  5 in total

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