Assessing the Reliability of Automatic Milking Systems Data to Support Genetic Improvement in Dairy Cattle.

ABSTRACT: This study investigates the reliability and potential genetic utility of data recorded by automatic milking systems by comparing them with official milk recording data. Analyses focused on phenotypic distributions, correlations, systematic differences, and heritability estimates for milk production and quality traits including milk yield, fat and protein percentage, somatic cell count, and electrical conductivity. Automatic milking system data and official milk recording data shared similar distributions. Correlations between the two systems were high for milk yield (r = 0.93), but moderate for fat (r = 0.52) and protein percentage (r = 0.48), and somatic cell count (r = 0.62), suggesting that while the former provides consistent data for quantity traits, quality-related ones may be less r

SUBMITTER: Ponzo E 

PROVIDER: S-EPMC12785074 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature