Publications by authors named "Sayed Reza Miraie Ashtiani"
Front Genet
September 2024
Article Synopsis
- - Crossbreeding in livestock combines the strengths of different breeds to enhance performance, but predicting the success of crossbred animals often depends on data from purebred stock, limited by genetic and environmental factors.
- - This study used a two-way crossbreeding simulation to explore how integrating data from purebred and crossbred populations could optimize predictions of crossbred performance using advanced genetic models like ssGBLUP and ssGBLUP-MF.
- - Results showed that using genotypes from both purebred parents and their crossbreds improved prediction accuracy, especially at lower genetic correlation values, with ssGBLUP performing best when focusing solely on sire breed genotypes at high correlation levels.
