Long-term response to genomic selection: effects of estimation method and reference population structure for different genetic architectures

摘要: Background: Genomic selection has become an important tool in the genetic improvement of animals and plants. The objective this study was to investigate impacts breeding value estimation method, reference population structure, trait architecture, on long-term response genomic without updating marker effects. Methods: Three methods were used estimate values: a BLUP method with relationships estimated from genome-wide markers (GBLUP), Bayesian partial least squares regression (PLSR). A shallow (individuals one generation) or deep five generations) each method. effects different approaches compared under four architectures for selection. Selection based three values, pedigree performed at random. continued ten generations. Results: Differences small. For architecture very small number quantitative loci (QTL), achieved that 0.05 0.1 standard deviation higher than other generation 10. approximately 30 300 QTL, PLSR (shallow reference) GBLUP (deep had average advantage 0.2 over resulted 0.6% 0.9% less inbreeding BM third smaller reduction variance. Responses early generations greater while not affected by structure. Conclusions: ranking Under selection, applying led lower variance similar achieved. structure limited effect accuracy response. Use population, most closely related candidates, gave benefits later generations, when updated, deeper did pay off.