Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 May;137(3):292-304.
doi: 10.1111/jbg.12442. Epub 2019 Oct 1.

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

Hadi Atashi  1   2 , Mazdak Salavati  3 , Jenne De Koster  1 , Jim Ehrlich  4 , Mark Crowe  5 , Geert Opsomer  1 ; GplusE consortium; Miel Hostens  1
Collaborators, Affiliations

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

Hadi Atashi et al. J Anim Breed Genet. 2020 May.

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.

Keywords: Holstein; genome-wide association study; lactation curve; milk yield.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they do not have any conflicts of interest.

Figures

Figure 1
Figure 1
Additive genetic variance explained by windows of 50 adjacent SNP across chromosomes for 305‐day milk yield (a), peak yield (b), peak time (c), ramp (d), scale (e) and decay (f) in primiparous cows [Colour figure can be viewed at http://www.wileyonlinelibrary.com]
Figure 2
Figure 2
Additive genetic variance explained by windows of 50 adjacent SNP across chromosomes for 305‐day milk yield (a), peak yield (b), peak time (c), ramp (d), scale (e) and decay (f) in multiparous cows [Colour figure can be viewed at http://www.wileyonlinelibrary.com]
Figure 3
Figure 3
Linkage disequilibrium between 30 SNP inside the genomic region on BTA14 in position 1.48–1.68 associated with 305‐day milk and lactation curve parameters in both primiparous and multiparous cows. The colour scale ranges from red to white (colour intensity decreases with decreasing r 2 value). Strong LD was detected across a 37 kb region between SNP BovineHD1400000167 and BovineHD1400000167. This region contains genes including ZNF7, ZNF34, RPL8, COMMD5 and C14H8orf33 [Colour figure can be viewed at http://www.wileyonlinelibrary.com]
See this image and copyright information in PMC

References

    1. Abo‐Ismail, M. K. , Brito, L. F. , Miller, S. P. , Sargolzaei, M. , Grossi, D. A. , Moore, S. S. , … Schenkel, F. S. (2017). Genome‐wide association studies and genomic prediction of breeding values for calving performance and body conformation traits in Holstein cattle. Genetics Selection Evolution, 49(1), 82 10.1186/s12711-017-0356-8 - DOI - PMC - PubMed
    1. Aguilar, I. , Misztal, I. , Johnson, D. , Legarra, A. , Tsuruta, S. , & Lawlor, T. (2010). Hot topic: A unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. Journal of Dairy Science, 93(2), 743–752. 10.3168/jds.2009-2730 - DOI - PubMed
    1. Aguilar, I. , Misztal, I. , Tsuruta, S. , Legarra, A. , & Wang, H. (2014). PREGSF90–POSTGSF90: computational tools for the implementation of single‐step genomic selection and genome‐wide association with ungenotyped individuals in BLUPF90 programs. Paper presented at the Proceedings of the 10th world congress of genetics applied to livestock production.
    1. Ali, T. , & Schaeffer, L. (1987). Accounting for covariances among test day milk yields in dairy cows. Canadian Journal of Animal Science, 67(3), 637–644. 10.4141/cjas87-067 - DOI
    1. Atashi, H. , Zamiri, M. , & Dadpasand, M. (2013). Association between dry period length and lactation performance, lactation curve, calf birth weight, and dystocia in Holstein dairy cows in Iran. Journal of Dairy Science, 96(6), 3632–3638. 10.3168/jds.2012-5943 - DOI - PubMed