Literature DB >> 33934872

Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins.

G A Oliveira Junior1, F S Schenkel2, L Alcantara2, K Houlahan2, C Lynch2, C F Baes3.   

Abstract

Genetic improvement is a crucial tool to deal with the increasing demand for high quality, sustainably produced dairy. Breeding programs are based on genetic parameters, such as heritability and genetic correlations, for economically important traits in a population. In this study, we estimated population genetic parameters and genetic trends for 67 traits evaluated on heifers and first-lactation Canadian Holstein cows. The data consisted of approximately 500,000 records with pedigree information collected from 1980 to 2019. Genetic parameters were estimated using bivariate linear animal models under a Bayesian approach. Analyses for the 67 traits resulted in 2,211 bivariate combinations, from which the estimated genetic parameters are reported here. The most highly heritable traits were fat percent (0.66) and protein percent (0.69), followed by stature (0.47). Lowest heritabilities (0.01) were observed for disease-related traits, such as lameness and toe ulcer, and calf survival. The genetic correlations between gestation length, calf size, and calving ease measured on both heifer and cows were close to unity. On the other hand, traits such as body condition score and pin width, cystic ovaries and sole ulcer, rear teat placement, and toe ulcer were genetically unrelated. This study reports genetic parameters that have not been previously published for Canadian Holstein cows, and provides updates of those previously estimated. These estimates are useful for building new indexes, updating existing selection indexes, and for predicting correlated responses due to inclusion of novel traits in the breeding programs. The Authors. Published by Elsevier Inc. and Fass Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Entities:  

Keywords:  genetic correlation; genetic trends; heritability

Mesh:

Year:  2021        PMID: 33934872     DOI: 10.3168/jds.2021-20227

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  4 in total

1.  Estimation of Genetic Parameters for Female Fertility Traits in the Polish Holstein-Friesian Population.

Authors:  Agnieszka Otwinowska-Mindur; Ewa Ptak; Wojciech Jagusiak; Andrzej Zarnecki
Journal:  Animals (Basel)       Date:  2022-06-08       Impact factor: 3.231

2.  Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data.

Authors:  Victor B Pedrosa; Flavio S Schenkel; Shi-Yi Chen; Hinayah R Oliveira; Theresa M Casey; Melkaye G Melka; Luiz F Brito
Journal:  Genes (Basel)       Date:  2021-11-19       Impact factor: 4.096

3.  Identifying pleiotropic variants and candidate genes for fertility and reproduction traits in Holstein cattle via association studies based on imputed whole-genome sequence genotypes.

Authors:  Shi-Yi Chen; Flavio S Schenkel; Ana L P Melo; Hinayah R Oliveira; Victor B Pedrosa; Andre C Araujo; Melkaye G Melka; Luiz F Brito
Journal:  BMC Genomics       Date:  2022-04-28       Impact factor: 4.547

4.  Genome-Wide Genomic and Functional Association Study for Workability and Calving Traits in Holstein Cattle.

Authors:  Michalina Jakimowicz; Joanna Szyda; Andrzej Zarnecki; Wojciech Jagusiak; Małgorzata Morek-Kopeć; Barbara Kosińska-Selbi; Tomasz Suchocki
Journal:  Animals (Basel)       Date:  2022-04-27       Impact factor: 2.752

  4 in total

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