Literature DB >> 17785600

Genetic parameters for residual feed intake in growing pigs, with emphasis on genetic relationships with carcass and meat quality traits.

H Gilbert1, J-P Bidanel, J Gruand, J-C Caritez, Y Billon, P Guillouet, H Lagant, J Noblet, P Sellier.   

Abstract

Data were collected over the first 4 generations of a divergent selection experiment for residual feed intake of Large White pigs having ad libitum access to feed. This data set was used to obtain estimates of heritability for residual feed intake and genetic correlations (r(a)) between this trait and growth, carcass, and meat quality traits. Individual feed intake of group-housed animals was measured by single-space electronic feeders. Upward and downward selection lines were maintained contemporarily, with 6 boars and 35 to 40 sows per line and generation. Numbers of records were 793 for residual feed intake (RFI1) of boar candidates for selection issued from first-parity (P1) litters and tested over a fixed BW range (35 to 95 kg) and 657 for residual feed intake (RFI2) and growth, carcass, and meat quality traits of castrated males and females issued from second-parity (P2) litters and tested from 28 to 107 kg of BW. Variance and covariance components were estimated using REML methodology applied to a series of multitrait animal models, which always included the criterion for selection as 1 of the traits. Estimates of heritability for RFI1 and RFI2 were 0.14 +/- 0.03 and 0.24 +/- 0.03, respectively, whereas the estimate of r(a) between the 2 traits was 0.91 +/- 0.08. Estimates of r(a) indicated that selection for low residual feed intake has the potential to improve feed conversion ratio and reduce daily feed intake, with minimal correlated effect for ADG of P2 animals. Estimates of r(a) between RFI2 and body composition traits of P2 animals were positive for traits related to the amount of fat depots (r(a) = 0.44 +/- 0.16 for carcass backfat thickness) and negative for carcass lean meat content (r(a) = -0.55 +/- 0.14). There was a tendency for a negative genetic correlation between RFI2 and carcass dressing percent (r(a) = -0.36 +/- 0.21). Moreover, selection for low residual feed intake is expected, through lower ultimate pH and lighter color, to decrease pork quality (r(a) = 0.77 +/- 0.14 between RFI2 and a meat quality index intended to predict the ratio of the weight of ham after curing and cooking to the weight of defatted and boneless fresh ham).

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Year:  2007        PMID: 17785600     DOI: 10.2527/jas.2006-590

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  53 in total

1.  Genetics of fat tissue accumulation in pigs: a comparative approach.

Authors:  M Switonski; M Stachowiak; J Cieslak; M Bartz; M Grzes
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

Review 2.  Residual feed intake: a nutritional tool for genetic improvement.

Authors:  Leilson Rocha Bezerra; José Lindenberg Rocha Sarmento; Severino Gonzaga Neto; Ney Rômulo Oliveira de Paula; Ronaldo Lopes Oliveira; Wagner Martins Fontes do Rêgo
Journal:  Trop Anim Health Prod       Date:  2013-10-31       Impact factor: 1.559

3.  NMR-based metabolomics highlights differences in plasma metabolites in pigs exhibiting diet-induced differences in adiposity.

Authors:  Maëva Jégou; Florence Gondret; Julie Lalande-Martin; Illa Tea; Elisabeth Baéza; Isabelle Louveau
Journal:  Eur J Nutr       Date:  2015-05-22       Impact factor: 5.614

4.  Genetic structured antedependence and random regression models applied to the longitudinal feed conversion ratio in growing Large White pigs.

Authors:  V H Huynh-Tran; H Gilbert; I David
Journal:  J Anim Sci       Date:  2017-11       Impact factor: 3.159

5.  Gene expression profiling reveals candidate genes related to residual feed intake in duodenum of laying ducks.

Authors:  T Zeng; L Huang; J Ren; L Chen; Y Tian; Y Huang; H Zhang; J Du; L Lu
Journal:  J Anim Sci       Date:  2017-12       Impact factor: 3.159

6.  Effect of a dual enteric and respiratory pathogen challenge on swine growth, efficiency, carcass composition, and pork quality1.

Authors:  Amanda C Outhouse; Emma T Helm; Brian M Patterson; Jack C M Dekkers; Wendy M Rauw; Kent J Schwartz; Nicholas K Gabler; Elisabeth Huff-Lonergan; Steven M Lonergan
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

7.  Thermoregulatory responses during thermal acclimation in pigs divergently selected for residual feed intake.

Authors:  Paulo Henrique Reis Furtado Campos; Jean Noblet; Yolande Jaguelin-Peyraud; Hélène Gilbert; Pierre Mormède; Rita Flavia Miranda de Oliveira Donzele; Juarez Lopes Donzele; David Renaudeau
Journal:  Int J Biometeorol       Date:  2014-01-04       Impact factor: 3.787

8.  Methods and consequences of including feed intake and efficiency in genetic selection for multiple-trait merit.

Authors:  Stephen A Barwick; Anthony L Henzell; Brad J Walmsley; David J Johnston; Robert G Banks
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

9.  Response of adult stem cell populations to a high-fat/high-fiber diet in skeletal muscle and adipose tissue of growing pigs divergently selected for feed efficiency.

Authors:  Marie-Hélène Perruchot; Frédéric Dessauge; Florence Gondret; Isabelle Louveau
Journal:  Eur J Nutr       Date:  2020-10-30       Impact factor: 5.614

10.  Detection of multiple quantitative trait loci and their pleiotropic effects in outbred pig populations.

Authors:  Yoshitaka Nagamine; Ricardo Pong-Wong; Peter M Visscher; Chris S Haley
Journal:  Genet Sel Evol       Date:  2009-10-06       Impact factor: 4.297

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