Using GWAS to identify candidate genes associated with cattle morphology traits at a functional level is challenging. The main difficulty of identifying candidate genes and gene interactions associate
The objective of this study was to evaluate the proportion of genetic variance explained by single nucleotide polymorphism markers, individually or clustered in 1, 2, and 5 Mb windows, for milk yield,
Excel file describing previously identified production or fertility trait QTL that overlap with the SNPs identified in this study for calving to first service interval (CTFS). (XLS 30 kb)
