Sellier P.,French National Institute for Agricultural Research |
Sellier P.,Agro ParisTech |
Sellier P.,Canadian Center for Swine Improvement |
Maignel L.,IFIP Institute du Porc |
And 2 more authors.
Genetic parameters pertaining to the same chemical characteristics of three porcine tissues, that is backfat (BF), perirenal fat (PF) and longissimus muscle (LM), were estimated in centrally tested Large White and Landrace pigs. Animals were fed ad libitum. They were slaughtered at an average BW of 99.6 kg, and samples of BF (both inner and outer layers) and LM were removed at the 13th to 14th rib level of the carcass on the day after slaughter. The data set included 2483 animals recorded for average daily gain (ADG; 35 to 100 kg), estimated carcass lean percentage (LEAN) and lean tissue growth rate (LTGR). Among these animals, around 950 pigs were recorded for lipid content (L%) and water content (W%) of BF and LM and for fatty acid composition (FAC) of BF, whereas FAC of LM was measured on 297 pigs and L%, W%, and FAC of PF on around 210 pigs. Heritabilities (h2) and genetic correlations (r a) were estimated using REML-animal model methodology. Estimates of h2 for L%, W% and FAC of BF, PF and LM were of moderate-to-high magnitude: for example 0.47 ± 0.09 for L% of LM, 0.59 ± 0.11 for W% of BF, 0.45 ± 0.08 for the ratio of polyunsaturated to saturated fatty acids (P/S) of BF, 0.61 ± 0.15 and 0.29 ± 0.10 for the coefficient of unsaturation of lipids (UNSAT, average number of double bonds of unsaturated fatty acids) of PF and LM, respectively. Genetic correlations of L% with P/S or UNSAT were strongly negative (from -0.4 to -0.9) in BF and LM, but not in PF. The between-tissue genetic correlations for homologous compositional traits were far from being unity (e.g. ra = 0.57 ± 0.05 between BF and PF for UNSAT). Genetic relationships between ADG and tissue compositional traits were globally weak. By contrast, genetic correlations were moderate-to-high between carcass leanness and tissue compositional traits, especially those of fat depots: for example -0.66 ± 0.14 between LEAN and L% of BF, 0.50 ± 0.07 between LEAN and UNSAT of PF, -0.44 ± 0.08 between LEAN and L% of LM, and 0.27 ± 0.03 between LEAN and UNSAT of LM. On the basis of the parameter estimates found here, breeding for higher LTGR is expected to increase the ratio of water to lipids and the unsaturation degree of lipids in subcutaneous BF and, to a lesser extent, in PF. Tissue composition and FAC of LM would be less affected. © 2009 The Animal Consortium. Source
Jafarikia M.,Canadian Center for Swine Improvement |
Jafarikia M.,University of Guelph |
Methot S.,Agriculture and Agri Food Canada |
Maignel L.,Canadian Center for Swine Improvement |
And 3 more authors.
Molecular Biology Reports
Our objectives were to estimate frequencies of previously identified single nucleotide polymorphisms (SNPs) in adiponectin (ADIPOQ) and its receptors (ADIPOR1 and ADIPOR2) in a population of Duroc, Landrace and Yorkshire pigs and evaluate the effect of these alleles on sow productivity estimated breeding values (EBVs). Eight SNPs were genotyped on 446 pigs in the ADIPOQ (c.178G>A, c.*300A>G, c.*1094_1095insC and c.*1779A>C), ADIPOR1 (c.*129A>C) and ADIPOR2 (c.*112G>A, c.*295G>C and c.*1455G>A) genes. Association analyses were performed with sow productivity EBVs based on litter records collected in Canadian breeding farms. There were significant associations between ADIPOQ c.178G>A and c.*1094_1095insC SNPs and studied traits. However, none of these associations remained significant after applying a Bonferroni correction. The ADIPOR2 c.*112G>A SNP was associated with the total number of piglets born (TNB, P < 0.001) and litter weight at weaning (LWW, P < 0.001) EBVs. Associations were also observed between the ADIPOR2 [A;C;G] haplotype and TNB and LWW (P < 0.001). Our results demonstrate that a selection in favor of the c.*112G allele or against the [A;C;G] haplotype may have the potential to increase LWW EBVs. However, the c.*112G allele is also associated with lower TNB EBVs. Some of the alleles of the genes studied showed substantial variability and in general, the results corroborated previously reported findings for an independent sow population. However, careful cost-benefits analyses should be performed before using these markers in selection program as an improvement in TNB may translate into lighter LWW, with its associated negative impact on production traits such as growth performances. © 2015, Springer Science+Business Media Dordrecht. Source