Literature DB >> 26020170

Correlations between purebred and crossbred body weight traits in Limousin and Limousin-Angus populations.

M Lukaszewicz, R Davis, J K Bertrand, I Misztal, S Tsuruta.   

Abstract

The purpose of this study was to estimate correlations between purebred and F1 crossbred performance to verify the appropriateness of current models used in multibreed selection. Records on birth weight (WB) and weaning weight (WW) from purebred Limousins (LIM) and Limousin × Angus progeny (F1) were used to estimate genetic parameters using a multiple-trait (purebred and F1 weights were different traits) approach. For WB, there were 148,647 records for LIM and 17,981 for F1, and for WW, there were 81,585 records for LIM and 21,778 for F1. The fixed effect in models for LIM and F1 animals was contemporary group. Random effects for LIM animals were direct genetic, maternal genetic, and maternal permanent environment effects. Random effects for F1 were sire and dam. The pedigree for Angus dams used for crossing was unavailable and therefore these dams were assumed unrelated. The direct h2 estimates (SE) for purebred animals were 0.41 (0.05) and 0.24 (0.02) for WB and WW, respectively. For F1, the same estimates were 0.22 (0.09) and 0.32 (0.05). Genetic correlations estimates between purebreds and crossbreds were 0.84 (0.07) and 0.64 (0.18) for WB and WW, respectively. The genetic correlation for WW estimated in this study suggests that F1 and purebred information for this trait should not be treated, genetically, as the same trait due to different genetic effects molding it. However, the genetic correlation for WB was much higher, indicating that this trait in purebreds and F1 is essentially the same trait.

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Year:  2015        PMID: 26020170     DOI: 10.2527/jas.2014-8285

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


  2 in total

1.  Genotyping and phenotyping strategies for genetic improvement of meat quality and carcass composition in swine.

Authors:  Emmanuel André Lozada-Soto; Daniela Lourenco; Christian Maltecca; Justin Fix; Clint Schwab; Caleb Shull; Francesco Tiezzi
Journal:  Genet Sel Evol       Date:  2022-06-07       Impact factor: 5.100

2.  Predicting the purebred-crossbred genetic correlation from the genetic variance components in the parental lines.

Authors:  Pascal Duenk; Piter Bijma; Yvonne C J Wientjes; Mario P L Calus
Journal:  Genet Sel Evol       Date:  2021-02-04       Impact factor: 4.297

  2 in total

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