GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle.
DGAT1
FarmCPU
dairy
milk production
quality traits
Journal
Animals : an open access journal from MDPI
ISSN: 2076-2615
Titre abrégé: Animals (Basel)
Pays: Switzerland
ID NLM: 101635614
Informations de publication
Date de publication:
05 Nov 2020
05 Nov 2020
Historique:
received:
23
09
2020
revised:
01
11
2020
accepted:
03
11
2020
entrez:
10
11
2020
pubmed:
11
11
2020
medline:
11
11
2020
Statut:
epublish
Résumé
High-yield and high-quality of milk are the primary goals of dairy production. Understanding the genetic architecture underlying these milk-related traits is beneficial so that genetic variants can be targeted toward the genetic improvement. In this study, we measured five milk production and quality traits in Holstein cattle population from China. These traits included milk yield, fat, and protein. We used the estimated breeding values as dependent variables to conduct the genome-wide association studies (GWAS). Breeding values were estimated through pedigree relationships by using a linear mixed model. Genotyping was carried out on the individuals with phenotypes by using the Illumina BovineSNP150 BeadChip. The association analyses were conducted by using the fixed and random model Circulating Probability Unification (FarmCPU) method. A total of ten single-nucleotide polymorphisms (SNPs) were detected above the genome-wide significant threshold (
Identifiants
pubmed: 33167458
pii: ani10112048
doi: 10.3390/ani10112048
pmc: PMC7694478
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : National Science Foundation
ID : Award # DBI 1661348, and the USDA National Institute of Food and Agriculture Hatch project (1014919)
Organisme : High-yield and High-quality Dairy Cattle Breeding
ID : 2019NYYZ05
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