Literature DB >> 21865565

Maintenance energy requirements of growing pigs and calves are influenced by feeding level.

Etienne Labussière1, Jaap van Milgen, Cornelis F M de Lange, Jean Noblet.   

Abstract

The conventional regression method for partitioning heat production (HP) in growing animals between HP associated with either maintenance or growth assumes maintenance HP to be independent of feeding level (FL). However, there are indications that this assumption is not correct and an alternative method is proposed in this study from a reanalysis of 3 trials. In trial 1, 73-, 152-, and 237-kg calves received one milk replacer at 77, 84, 92, and 100% of their ad libitum metabolizable energy (ME) intake. In trial 2, 70-kg barrows received one diet at 60, 80, and 100% of their ad libitum ME intake {2600 kJ ME/[kg body weight (BW)(0.60) · d]}. In trial 3, 60-kg barrows received a basal diet [1700 kJ ME/(kg BW(0.60) · d)] or 4 diets consisting of the basal diet plus 850 kJ ME/(kg BW(0.60)·d) of starch alone or starch with corn gluten, casein, or vegetable oil. In the 3 trials (n = 48, 18, and 28, respectively), HP and activity-related HP were measured on individuals pigs and calves in respiration chambers for 6 d (fed state) and fasting HP (FHP; at zero activity) was calculated as the asymptotic value of HP kinetics on d 7 (feed-deprived state). The FHP changed by 0.22 kJ in calves and 0.14 kJ in pigs/kJ ME intake change during the previous days. The efficiency of using ME for maintenance and growth [k(mg); 1- (HP - FHP)/ME] was not affected by FL (calves: 84%, pigs in trial 2: 74%). In trial 3, k(mg) varied between diets in connection with variations in efficiencies between nutrients (from 55% for corn gluten to 85% for lipid). This new method of representing partitioning of ME intake considers FHP as variable with FL, does not require estimates of maintenance ME requirements, includes efficiencies that depend on diet characteristics, and is not biased by metabolic adaptations of the animal to FL.

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Year:  2011        PMID: 21865565     DOI: 10.3945/jn.111.141291

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  16 in total

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Authors:  W Zhong; L L Mu; F F Han; G L Luo; X Y Zhang; K Y Liu; X L Guo; H M Yang; G Y Li
Journal:  J Anim Sci       Date:  2019-11-04       Impact factor: 3.159

2.  Higher body fatness in intrauterine growth retarded juvenile pigs is associated with lower fat and higher carbohydrate oxidation during ad libitum and restricted feeding.

Authors:  Ricarda Krueger; Michael Derno; Solvig Goers; Barbara U Metzler-Zebeli; Gerd Nuernberg; Karen Martens; Ralf Pfuhl; Constanze Nebendahl; Annette Zeyner; Harald M Hammon; Cornelia C Metges
Journal:  Eur J Nutr       Date:  2013-08-02       Impact factor: 5.614

3.  Energetic efficiency and the first law: the California net energy system revisited.

Authors:  Carl A Old; Heidi A Rossow; Ian J Lean; Thomas R Famula
Journal:  J Anim Sci       Date:  2018-11-21       Impact factor: 3.159

4.  Partitioning of heat production in growing pigs as a tool to improve the determination of efficiency of energy utilization.

Authors:  Etienne Labussière; Serge Dubois; Jaap van Milgen; Jean Noblet
Journal:  Front Physiol       Date:  2013-06-19       Impact factor: 4.566

5.  Effect of feed restriction on the maintenance energy requirement of broiler breeders.

Authors:  Guilherme Ferreira da Silva Teofilo; Rony Riveros Lizana; Rosiane de Souza Camargos; Bruno Balbino Leme; Freddy Alexander Horna Morillo; Raully Lucas Silva; João Batista Kochenborger Fernandes; Nilva Kazue Sakomura
Journal:  Anim Biosci       Date:  2021-10-29

6.  Estimation of the net energy requirement for maintenance in broilers.

Authors:  Wei Liu; Chang Hua Lin; Zheng Ke Wu; Guo Hua Liu; Hai Jie Yan; Hua Ming Yang; Hui Yi Cai
Journal:  Asian-Australas J Anim Sci       Date:  2016-10-19       Impact factor: 2.509

7.  Integrative analysis of indirect calorimetry and metabolomics profiling reveals alterations in energy metabolism between fed and fasted pigs.

Authors:  Hu Liu; Yifan Chen; Dongxu Ming; Ji Wang; Zhen Li; Xi Ma; Junjun Wang; Jaap van Milgen; Fenglai Wang
Journal:  J Anim Sci Biotechnol       Date:  2018-05-16

Review 8.  Methodologies on estimating the energy requirements for maintenance and determining the net energy contents of feed ingredients in swine: a review of recent work.

Authors:  Zhongchao Li; Hu Liu; Yakui Li; Zhiqian Lv; Ling Liu; Changhua Lai; Junjun Wang; Fenglai Wang; Defa Li; Shuai Zhang
Journal:  J Anim Sci Biotechnol       Date:  2018-05-16

9.  Net energy content of rice bran, corn germ meal, corn gluten feed, peanut meal, and sunflower meal in growing pigs.

Authors:  Yakui Li; Zhongchao Li; Hu Liu; Jean Noblet; Ling Liu; Defa Li; Fenglai Wang; Changhua Lai
Journal:  Asian-Australas J Anim Sci       Date:  2018-03-02       Impact factor: 2.509

10.  Lipopolysaccharide immune stimulation but not β-mannanase supplementation affects maintenance energy requirements in young weaned pigs.

Authors:  Nichole F Huntley; C Martin Nyachoti; John F Patience
Journal:  J Anim Sci Biotechnol       Date:  2018-06-15
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