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  3. Genetics and genomics of reproductive disorders in Canadian Holstein cattle
 

Genetics and genomics of reproductive disorders in Canadian Holstein cattle

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BORIS DOI
10.7892/boris.131747
Date of Publication
February 2019
Publication Type
Article
Division/Institute

Institut für Genetik

Contributor
Guarini, A.R.
Lourenco, D.A.L.
Brito, L.F.
Sargolzaei, M.
Baes, Christine Francoiseorcid-logo
Institut für Genetik
Miglior, F.
Misztal, I.
Schenkel, F.S.
Subject(s)

500 - Science::590 - ...

600 - Technology::630...

500 - Science::570 - ...

Series
Journal of dairy science
ISSN or ISBN (if monograph)
0022-0302
Publisher
Elsevier
Language
English
Publisher DOI
10.3168/jds.2018-15038
PubMed ID
30471913
Description
In Canada, reproductive disorders known to affect the profitability of dairy cattle herds have been recorded by producers on a voluntary basis since 2007. Previous studies have shown the feasibility of using producer-recorded health data for genetic evaluations. Despite low heritability estimates and limited availability of phenotypic information, sufficient genetic variation has been observed for those traits to indicate that genetic progress, although slow, can be achieved. Pedigree- and genomic-based analyses were performed on producer-recorded health data of reproductive disorders, including retained placenta (RETP), metritis (METR), and cystic ovaries (CYST) using traditional BLUP and single-step genomic BLUP. Genome-wide association studies and functional analyses were carried out to unravel significant genomic regions and biological pathways, and to better understand the genetic mechanisms underlying RETP, METR, and CYST. Heritability estimates (posterior standard deviation in parentheses) were 0.02 (0.003), 0.01 (0.004), and 0.02 (0.003) for CYST, METR, and RETP, respectively. A moderate to strong genetic correlation of 0.69 (0.102) was found between METR and RETP. Averaged over all traits, sire proof reliabilities increased by approximately 11 percentage points with the incorporation of genomic data using a multiple-trait linear model. Biological pathways and associated genes underlying the studied traits were identified and will contribute to a better understanding of the biology of these 3 health disorders in dairy cattle.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/181081
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FileFile TypeFormatSizeLicensePublisher/Copright statementContent
Guarinietal2018b.pdftextAdobe PDF987.89 KBpublished
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