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

Hadi Atashi, Mazdak Salavati, Jenne De Koster, Jim Ehrlich, Mark Crowe, Geert Opsomer, Miel Hostens*, the GplusE Consortium

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)292-304
Number of pages13
JournalJournal of Animal Breeding and Genetics
Volume137
Issue number3
DOIs
Publication statusPrint publication - 1 May 2020
Externally publishedYes

Bibliographical note

© 2019 The Authors. Journal of Animal Breeding and Genetics published by Blackwell Verlag GmbH.

Keywords

  • genome-wide association study
  • Holstein
  • lactation curve
  • milk yield
  • Genome-Wide Association Study
  • Genotype
  • Lactation/genetics
  • Pregnancy
  • Phenotype
  • Polymorphism, Single Nucleotide/genetics
  • Animals
  • Genome/genetics
  • Cattle
  • Dairying
  • Female
  • Parity/genetics
  • Milk

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