Including gene networks to predict calving difficulty in Holstein, Brown Swiss and Jersey cattle.

ABSTRACT:

Background

Calving difficulty or dystocia has a great economic impact in the US dairy industry. Reported risk factors associated with calving difficulty are feto-pelvic disproportion, gestation length and conformation. Different dairy cattle breeds have different incidence of calving difficulty, with Holstein having the highest dystocia rates and Jersey the lowest. Genomic selection becomes important especially for complex traits with low heritability, where the accuracy of conventional selection is lower. However, for complex traits where a large number of genes influence the phenotype, genome-wide association studies showed limitations. Biological networks could overcome some of these limitations and better capture the genetic architecture of complex traits. In this paper, we cha

SUBMITTER: Tiezzi F 

PROVIDER: S-EPMC5880070 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature