Literature DB >> 23482579

Genetics of residual feed intake in growing pigs: Relationships with production traits, and nitrogen and phosphorus excretion traits.

R Saintilan1, I Mérour, L Brossard, T Tribout, J Y Dourmad, P Sellier, J Bidanel, J van Milgen, H Gilbert.   

Abstract

Residual feed intake (RFI) is defined as the difference between the observed ADFI and the ADFI predicted from production and maintenance requirements. The objectives of this study were to evaluate RFI as a selection criterion to improve feed efficiency and its potential to reduce N and P excretion in 4 pig breeds. Data were collected between 2000 and 2009 in French central test stations for 2 dam breeds [French Landrace (LR) and Large White (LWD)], and 2 sire breeds [Large White (LWS) and Piétrain (PP)]. Numbers of recorded pigs were 6407, 10,694, 2342, and 2448 for the LR, LWD, LWS, and PP breeds, respectively. All PP animals were genotyped for the halothane mutation. This data set was used to calculate RFI equations for each of the 4 breeds, and to estimate genetic parameters for RFI together with growth, carcass, and meat quality traits, and N and P excretion during the test period (35 to 110 kg BW). The RFI explained 20.1% in PP, 26.5% in LWS, 27.6% in LWD, and 29.5% in LR of the phenotypic variability of ADFI. The PP breed differed from the others in this respect, probably due to a lower impact of the variation of body composition on ADFI. Heritability estimates of RFI ranged from 0.21 ± 0.03 (LWD) to 0.33 ± 0.06 (PP) depending on the breed. Heritabilities of N and P excretion traits ranged from 0.29 ± 0.06 to 0.40 ± 0.06. The RFI showed positive genetic correlations with feed conversion ratio (FCR) and excretion traits, these correlations being greater in the sire breeds (from 0.57 to 0.86) than in the dam breeds (from 0.38 to 0.53). Compared with FCR, RFI had weaker genetic correlations with carcass composition, growth rate, and excretion traits. Estimates of genetic correlations between FCR and excretion traits were very close to 1 for all breeds. Finally, excretion traits were, at the genetic level, correlated positively with ADFI, negatively with growth rate and carcass leanness, whereas the halothane n mutation in PP was shown to reduce N and P excretion levels. To conclude, new selection indexes including RFI can be envisaged to efficiently disentangle the responses to selection on growth rate and body composition from those on feed efficiency, with favorable impacts on N and P excretions, particularly in sire pig breeds. However, the switch from FCR to RFI in selection indexes should not resolve the genetic antagonism between feed efficiency and meat quality.

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Year:  2013        PMID: 23482579     DOI: 10.2527/jas.2012-5687

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


  28 in total

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

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5.  Robustness scores in fattening pigs based on routinely collected phenotypes: determination and genetic parameters.

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7.  Genetic Analysis of Major Production and Reproduction Traits of Korean Duroc, Landrace and Yorkshire Pigs.

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8.  A genome-wide association study of production traits in a commercial population of Large White pigs: evidence of haplotypes affecting meat quality.

Authors:  Marie-Pierre Sanchez; Thierry Tribout; Nathalie Iannuccelli; Marcel Bouffaud; Bertrand Servin; Amabel Tenghe; Patrice Dehais; Nelly Muller; Maria Pilar Del Schneider; Marie-José Mercat; Claire Rogel-Gaillard; Denis Milan; Jean-Pierre Bidanel; Hélène Gilbert
Journal:  Genet Sel Evol       Date:  2014-02-14       Impact factor: 4.297

9.  Genome-wide association and systems genetic analyses of residual feed intake, daily feed consumption, backfat and weight gain in pigs.

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Journal:  BMC Genet       Date:  2014-02-17       Impact factor: 2.797

10.  In-Depth Duodenal Transcriptome Survey in Chickens with Divergent Feed Efficiency Using RNA-Seq.

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Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

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