Literature DB >> 9771338

Major determinants of fasting heat production and energetic cost of activity in growing pigs of different body weight and breed/castration combination.

J van Milgen1, J F Bernier, Y Lecozler, S Dubois, J Noblet.   

Abstract

A total of sixty-five observations on heat production during fasting and physical activity were obtained in four groups of pigs differing in breed and/or castration (Meishan (MC) and Large White (LWC) castrates and Large White (LWM) and Piétrain (PM) males) with body weight (BW) ranging between 25 and 60 kg. Pigs were fed ad libitum before fasting. Heat production was measured using indirect calorimetry. Fasting heat production (FHP) was proportional to the body weight raised to the power 0.55, but with group-specific proportionality parameters (810, 1200, 1220 and 1120 kJ/kg BW0.55 per d for MC, LWC, LWM and PM respectively). Group effects could be removed by expressing FHP as a function of muscle, viscera and fat: FHP (kJ/d) = 457(muscle)0.81 + 1969(viscera)0.81 - 644(fat)0.81. It is hypothesized that different breeds with equal muscle and visceral mass, can have different FHP. The negative coefficient for fat would then be the result of a low FHP rather than a cause of it. Because a large part of the variation in tissue composition between groups was due to MC group, a separate equation for the lean groups was established. For lean pigs, FHP could be expressed as a function of muscle and viscera alone: FHP (kJ/d) = 508(muscle)0.66 + 2011(viscera)0.66. Both type of pig and BW affected the number of bouts of physical activities (i.e. standing or sitting) per day, the duration of activity and the total cost of activity. Energetic cost of activity was proportional to the muscle mass raised to the power 0.91 (FHPactivity (kJ/h activity) = 21.0(muscle)0.91). Physical activity represented less than 10% of the total heat production in fasting growing pigs housed alone in metabolic cages and kept in a quiet environment.

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Year:  1998        PMID: 9771338     DOI: 10.1079/bjn19980089

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  15 in total

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Authors:  K L Blaine; Ignatius Verla Nsahlai
Journal:  Trop Anim Health Prod       Date:  2010-11-21       Impact factor: 1.559

2.  Influence of limit-feeding and time of day of feed availability to growing calves on growth performance and feeding behavior in cold weather.

Authors:  L D Prezotto; T C Gilbery; M L Bauer; A Islas; K C Swanson
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

3.  Net energy content of canola meal fed to growing pigs and effect of experimental methodology on energy values.

Authors:  J W Kim; B Koo; C M Nyachoti
Journal:  J Anim Sci       Date:  2018-04-14       Impact factor: 3.159

4.  Estimation of the net energy and protein requirements for maintenance of male arctic foxes (Alopex lagopus) during the growth period1,2.

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

5.  Relationship between energy intake and growth performance and body composition in pigs selected for low backfat thickness.

Authors:  Fan Liu; Christopher J Brewster; Samantha L Gilmour; David J Henman; Robert J Smits; Brian G Luxford; Frank R Dunshea; John R Pluske; Roger G Campbell
Journal:  J Anim Sci       Date:  2021-12-01       Impact factor: 3.159

6.  Water spray cooling during handling of feedlot cattle.

Authors:  Tami M Brown-Brandl; Roger A Eigenberg; John A Nienaber
Journal:  Int J Biometeorol       Date:  2009-12-04       Impact factor: 3.787

7.  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

8.  Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models.

Authors:  Li Wang; Qile Hu; Lu Wang; Huangwei Shi; Changhua Lai; Shuai Zhang
Journal:  J Anim Sci Biotechnol       Date:  2022-05-13

Review 9.  Feed energy evaluation for growing pigs.

Authors:  D Y Kil; B G Kim; H H Stein
Journal:  Asian-Australas J Anim Sci       Date:  2013-09       Impact factor: 2.509

10.  A review of feed efficiency in swine: biology and application.

Authors:  John F Patience; Mariana C Rossoni-Serão; Néstor A Gutiérrez
Journal:  J Anim Sci Biotechnol       Date:  2015-08-06
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