Comprehensive genetic analysis and predictive evaluation of milk electrical conductivity for subclinical mastitis in Chinese Holstein cows.

ABSTRACT:

Background

Bovine mastitis significantly impacts the dairy industry, causing economic losses through reduced milk production, lower milk quality, and increased health risks, and early detection is critical for effective treatment. This study analyzed milk electrical conductivity data from 9,846 Chinese Holstein cows over a two-year period, collected during three daily milking sessions, alongside smart collar data and dairy herd improvement test results. The aim was to conduct a comprehensive genetic analysis and assess the potential of milk electrical conductivity as a biomarker for the early detection of bovine subclinical mastitis.

Results

The results revealed significant phenotypic and strong genetic correlations (-0.286 to 0.457) between milk electrical conductivity, som

SUBMITTER: Lu X 

PROVIDER: S-EPMC11662542 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature