Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations

Autor: Li, Xiaojian, Lund, M. S., Zhang, Q., Costa, C. N., Ducrocq, Vincent, Su, G.
Přispěvatelé: Center for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University [Aarhus], China Agricultural University (CAU), Sun Yat-Sen University [Guangzhou] (SYSU), Embrapa Dairy Cattle, 610 Dom Bosco, BR-36038330 Juiz De Fora, MG, Brazil, Partenaires INRAE, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Genomic Selection in Plants and Animals (GenSAP) research project - Danish Council of Strategic Research (Aarhus, Denmark)
Jazyk: angličtina
Rok vydání: 2016
Předmět:
Zdroj: Journal of Dairy Science
Journal of Dairy Science, American Dairy Science Association, 2016, 99 (6), pp.4574-4579. ⟨10.3168/jds.2015-10609⟩
ISSN: 0022-0302
Popis: International audience; The present study investigated the improvement of prediction reliabilities for 3 production traits in Brazilian Holsteins that had no genotype information by adding information from Nordic and French Holstein bulls that had genotypes. The estimated across-country genetic correlations (ranging from 0.604 to 0.726) indicated that an important genotype by environment interaction exists between Brazilian and Nordic (or Nordic and French) populations. Prediction reliabilities for Brazilian genotyped bulls were greatly increased by including data of Nordic and French bulls, and a 2-trait single-step genomic BLUP performed much better than the corresponding pedigree-based BLUP. However, only a minor improvement in prediction reliabilities was observed in nongenotyped Brazilian cows. The results indicate that although there is a large genotype by environment interaction, inclusion of a foreign reference population can improve accuracy of genetic evaluation for the Brazilian Holstein population. However, a Brazilian reference population is necessary to obtain a more accurate genomic evaluation.
Databáze: OpenAIRE