Literature DB >> 26152894

Partition of genetic trends by origin in Landrace and Large-White pigs.

D Škorput1, G Gorjanc2, A Kasap1, Z Luković1.   

Abstract

The objective of this study was to analyse the effectiveness of genetic improvement via domestic selection and import for backfat thickness and time on test in a conventional pig breeding programme for Landrace (L) and Large-White (LW) breeds. Phenotype data was available for 25 553 L and 10 432 LW pigs born between 2002 and 2012 from four large-scale farms and 72 family farms. Pedigree information indicated whether each animal was born and registered within the domestic breeding programme or has been imported. This information was used for defining the genetic groups of unknown parents in a pedigree and the partitioning analysis. Breeding values were estimated using a Bayesian analysis of an animal model with and without genetic groups. Such analysis enabled full Bayesian inference of the genetic trends and their partitioning by the origin of germplasm. Estimates of genetic group indicated that imported germplasm was overall better than domestic and substantial changes in estimates of breeding values was observed when genetic group were fitted. The estimated genetic trends in L were favourable and significantly different from zero by the end of the analysed period. Overall, the genetic trends in LW were not different from zero. The relative contribution of imported germplasm to genetic trends was large, especially towards the end of analysed period with 78% and 67% in L and from 50% to 67% in LW. The analyses suggest that domestic breeding activities and sources of imported animals need to be re-evaluated, in particular in LW breed.

Entities:  

Keywords:  genetic trend; import; origin; partition; pigs

Mesh:

Year:  2015        PMID: 26152894     DOI: 10.1017/S1751731115001056

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  1 in total

1.  AlphaPart-R implementation of the method for partitioning genetic trends.

Authors:  Jana Obšteter; Justin Holl; John M Hickey; Gregor Gorjanc
Journal:  Genet Sel Evol       Date:  2021-03-18       Impact factor: 4.297

  1 in total

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