Genome-wide association for metabolic clusters in early-lactation Holstein dairy cows

Hadi Atashi, Mazdak Salavati, J. De Koster, M. A. Crowe, G. Opsomer, The GplusE consortium, M. Hostens

Research output: Contribution to journalArticlepeer-review

Abstract

The aim of this study was to detect genomic region(s) associated with metabolic clusters in early-lactation Holstein cows. Blood metabolites (experiment I) and Fourier-transform mid26 infrared (FT-MIR) spectra of milk (experiment II) were used to predict metabolic clusters (BALANCED vs. OTHER) for, respectively, 105 and 4,267 Holstein dairy cows. The results of experiment I revealed eight SNPs (on BTA11, BTA23 and BTAX) associated with the predicted metabolic clusters. Considering the results of experiment II, it can be concluded that metabolic clusters predicted based on FT-MIR spectra in milk samples collected during early lactation, is a highly polygenic trait regulated by many small-sized effects. The heritability for the predicted metabolic clusters was 0.17, indicating that the use of FT-MIR spectra in milk to predict metabolic clusters in early-lactation across a large number of cows has a satisfactory potential to be included in the genetic selection program of modern dairy cows
Original languageEnglish
JournalJournal of Dairy Science
Early online date22 Apr 2020
DOIs
Publication statusE-pub ahead of print - 22 Apr 2020

Keywords

  • metabolic adaptation
  • transition period
  • genome-wide association study
  • dairy cow

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