Genome‐wide association for milk production and lactation curve parameters in Holstein dairy cows

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  • Hadi Atashi, Department of Reproduction, Obstetrics and Herd Health, Ghent University, Merelbeke 9820, Belgium, Department of Animal Science, Shiraz University, Shiraz 71441-65186, Iran , Belgien
  • Mazdak Salavati, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Storbritannien
  • Jenne De Koster, Department of Reproduction, Obstetrics and Herd Health, Ghent University, Merelbeke 9820, Belgium, Belgien
  • Jim Ehrlich, Dairy Veterinarians Group, Argyle, New York, USA
  • Mark Crowe, University College Dublin, Dublin, Irland
  • Gert Opsomer, Department of Reproduction, Obstetrics and Herd Health, Ghent University, Merelbeke 9820, Belgium, Belgien
  • GplusE Consortium, Genotype Plus Environment Consortium (www.gpluse.eu)
  • ,
  • Miel Hostens, Department of Reproduction, Obstetrics and Herd Health, Ghent University, Merelbeke 9820, Belgium, Belgien
The aim of this study was to identify genomic regions associated with 305‐day milk yield and lactation curve parameters on primiparous (n = 9,910) and multiparous (n = 11,158) Holstein cows. The SNP solutions were estimated using a weighted single‐step genomic BLUP approach and imputed high‐density panel (777k) genotypes. The proportion of genetic variance explained by windows of 50 consecutive SNP (with an average of 165 Kb) was calculated, and regions that accounted for more than 0.50% of the variance were used to search for candidate genes. Estimated heritabilities were 0.37, 0.34, 0.17, 0.12, 0.30 and 0.19, respectively, for 305‐day milk yield, peak yield, peak time, ramp, scale and decay for primiparous cows. Genetic correlations of 305‐day milk yield with peak yield, peak time, ramp, scale and decay in primiparous cows were 0.99, 0.63, 0.20, 0.97 and −0.52, respectively. The results identified three windows on BTA14 associated with 305‐day milk yield and the parameters of lactation curve in primi‐ and multiparous cows. Previously proposed candidate genes for milk yield supported by this work include GRINA, CYHR1, FOXH1, TONSL, PPP1R16A, ARHGAP39, MAF1, OPLAH and MROH1, whereas newly identified candidate genes are MIR2308, ZNF7, ZNF34, SLURP1, MAFA and KIFC2 (BTA14). The protein lipidation biological process term, which plays a key role in controlling protein localization and function, was identified as the most important term enriched by the identified genes.
OriginalsprogEngelsk
TidsskriftJournal of Animal Breeding and Genetics
Vol/bind137
Nummer3
Sider (fra-til)292-304
Antal sider13
ISSN0931-2668
DOI
StatusUdgivet - maj 2020

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