Literature DB >> 17178815

Genetic correlations between two strains of Durocs and crossbreds from differing production environments for slaughter traits.

B Zumbach1, I Misztal, S Tsuruta, J Holl, W Herring, T Long.   

Abstract

The aim of this study was to estimate the genetic correlations between 2 purebred Duroc pig populations (P1 and P2) and their terminal crossbreds [C1 = P1 x (Landrace x Large White) and C2 = P2 x (Landrace x Large White)] raised in different production environments. The traits analyzed were backfat (BF), muscle depth (MD), BW at slaughter (WGT), and weight per day of age (WDA). Data sets from P1, P2, C1, and C2 included 26,674, 8,266, 16,806, and 12,350 animals, respectively. Two-trait models (nucleus and commercial crossbreds) for each group included fixed (contemporary group, sex, weight, and age), random additive (animal for P1 and P2 and sire for C1 and C2), random litter, and random dam (C1 and C2 only) effects. Heritability estimates (+/-SE) for BF were 0.46 +/- 0.04, 0.38 +/- 0.02, 0.32 +/- 0.02, and 0.33 +/- 0.02 for P1, P2, C1, and C2, respectively. Heritability estimates for MD were 0.31 +/- 0.01, 0.23 +/- 0.02, 0.19 +/- 0.01, and 0.12 +/- 0.01 for P1, P2, C1, and C2, respectively. The estimates for WGT and WDA were 0.31 +/- 0.01, 0.21 +/- 0.02, 0.16 +/- 0.01, and 0.18 +/- 0.01 and 0.32 +/- 0.01, 0.22 +/- 0.02, 0.16 +/- 0.01, and 0.19 +/- 0.01, respectively. Genetic correlations between purebreds and crossbreds for BF were 0.83 +/- 0.09 (P1 x C1) and 0.89 +/- 0.05 (P2 x C2), for MD 0.78 +/- 0.05 (P1 x C1) and 0.80 +/- 0.08 (P2 x C2). For WGT and WDA, the correlations were 0.53 +/- 0.08 (P1 x C1), 0.80 +/- 0.10 (P2 x C2), and 0.60 +/- 0.07 (P1 x C1) and 0.79 +/- 0.09 (P2 x C2), respectively. (Co)variances in crossbreds were adjusted to a live BW scale. Compared with purebreds, the genetic variances in crossbreds were lower, and the residual variances were greater. Sire variances in crossbreds were approximately 20 to 30% of the animal variances in purebreds for BF and MD but were 13 to 25% for WGT and WDA. The efficiency of purebred selection on crossbreds, assessed by EBV prediction weights, ranged from 0.43 to 0.91 for line 1 and 0.70 to 0.92 for line 2. When nucleus and commercial environments differ substantially, the efficiency of selection varies by line and traits, and selection strategies that include crossbred data from typical production environments may therefore be desirable.

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Year:  2006        PMID: 17178815     DOI: 10.2527/jas.2006-499

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


  13 in total

1.  Genome-wide association study for carcass quality traits and growth in purebred and crossbred pigs1.

Authors:  Matteo Bergamaschi; Christian Maltecca; Justin Fix; Clint Schwab; Francesco Tiezzi
Journal:  J Anim Sci       Date:  2020-01-01       Impact factor: 3.159

2.  Genetic analysis of disease resilience in wean-to-finish pigs from a natural disease challenge model.

Authors:  Jian Cheng; Austin M Putz; John C S Harding; Michael K Dyck; Frederic Fortin; Graham S Plastow; PigGen Canada; Jack C M Dekkers
Journal:  J Anim Sci       Date:  2020-08-01       Impact factor: 3.159

3.  Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs.

Authors:  R M Godinho; R Bergsma; F F Silva; C A Sevillano; E F Knol; M S Lopes; P S Lopes; J W M Bastiaansen; S E F Guimarães
Journal:  J Anim Sci       Date:  2018-04-03       Impact factor: 3.159

4.  Genomic evaluation for a three-way crossbreeding system considering breed-of-origin of alleles.

Authors:  Claudia A Sevillano; Jeremie Vandenplas; John W M Bastiaansen; Rob Bergsma; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2017-10-23       Impact factor: 4.297

5.  Genetic parameters and purebred-crossbred genetic correlations for growth, meat quality, and carcass traits in pigs.

Authors:  Hadi Esfandyari; Dinesh Thekkoot; Robert Kemp; Graham Plastow; Jack Dekkers
Journal:  J Anim Sci       Date:  2020-12-01       Impact factor: 3.159

6.  Accuracy of Predicted Genomic Breeding Values in Purebred and Crossbred Pigs.

Authors:  André M Hidalgo; John W M Bastiaansen; Marcos S Lopes; Barbara Harlizius; Martien A M Groenen; Dirk-Jan de Koning
Journal:  G3 (Bethesda)       Date:  2015-05-26       Impact factor: 3.154

7.  Pedigree and genomic evaluation of pigs using a terminal-cross model.

Authors:  Llibertat Tusell; Hélène Gilbert; Juliette Riquet; Marie-José Mercat; Andres Legarra; Catherine Larzul
Journal:  Genet Sel Evol       Date:  2016-04-07       Impact factor: 4.297

8.  Genetic evaluation for three-way crossbreeding.

Authors:  Ole F Christensen; Andres Legarra; Mogens S Lund; Guosheng Su
Journal:  Genet Sel Evol       Date:  2015-12-22       Impact factor: 4.297

9.  Genomic selection for crossbred performance accounting for breed-specific effects.

Authors:  Marcos S Lopes; Henk Bovenhuis; André M Hidalgo; Johan A M van Arendonk; Egbert F Knol; John W M Bastiaansen
Journal:  Genet Sel Evol       Date:  2017-06-26       Impact factor: 4.297

10.  Effects of sire line, birth weight and sex on growth performance and carcass traits of crossbred pigs under standardized environmental conditions.

Authors:  Kathrin Elbert; Neal Matthews; Ralf Wassmuth; Jens Tetens
Journal:  Arch Anim Breed       Date:  2020-11-03
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