Validating genomic predictions for economic traits in purebred US dairy heifers.

Autor:	Toghiani S; USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD 20705. Electronic address: sajjad.toghiani@usda.gov., VanRaden PM; USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD 20705., Null DJ; USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD 20705., Miles AM; USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD 20705., Van Tassell CP; USDA, Agricultural Research Service, Animal Genomics and Improvement Laboratory, Beltsville, MD 20705.
Jazyk:	angličtina
Zdroj:	Journal of dairy science [J Dairy Sci] 2024 Dec; Vol. 107 (12), pp. 11117-11126. Date of Electronic Publication: 2024 Sep 27.
DOI:	10.3168/jds.2024-25267
Abstrakt:	Most genotypes in the National Cooperator Database now originate from cows, but most previous studies validating genomic predictions have primarily focused on bulls. This study paired official within-breed genomic PTA (GPTA) and parent average (PA) for genotyped heifer calves born between 2019 and 2021 using the August 2021 database with their corresponding performance deviations (PDEV) for 17 different traits. The PDEV data became available when the heifers completed their first lactation and were extracted from the August 2023 database in which at least one PDEV value for those 17 traits existed for each genotyped heifer record. The separate breed analyses included records for 219 Ayrshires (AY), 2,715 Brown Swiss (BS), 1,055 Guernseys (GU), 949,904 Holsteins (HO), and 125,275 Jerseys (JE). These validation cows were heifer calves born between 2019 and 2021. However, due to timing or recording patterns, each trait had missing or incomplete PDEV data, leading to unbalanced distributions of records across traits. The squared accuracy of genomic prediction, or genomic reliability (r 2 ), was divided by the corresponding heritability for each trait, as only the heritable portion of cow records could be predicted, and this reliability varied across different traits and breeds. For HO and JE, the predictive ability of GPTA outperformed PA in predicting cow PDEV for yield, productive life, SCS, fertility, and health traits. The improvement ranged from 33% to 142% compared with the predictive ability of the PA. However, the results for AY, BS, and GU breeds were less consistent due to the smaller number of genotyped heifers. The r 2 gains in those breeds were smaller and aligned with the published reliabilities of GPTA. Weighted and unweighted regressions of PDEV on GPTA and PA traits mostly exceeded the expected value of 2.00 when predicting the future trait PDEV using GPTA or PA. The larger number of observations and lower SE of the weighted regression coefficient prediction in HO and JE breeds contributed to more stable and consistent regression coefficients for all traits except milk fever and heifer livability. Our study suggests that herd owners may experience greater benefits from genomics than originally forecast. (© 2024, The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)
Databáze:	MEDLINE
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