Exploring milk loss and variability during environmental perturbations across lactation stages as resilience indicators in Holstein cattle.

ABSTRACT: Genetic selection for resilience is essential to improve the long-term sustainability of the dairy cattle industry, especially the ability of cows to maintain their level of production when exposed to environmental disturbances. Recording of daily milk yield provides an opportunity to develop resilience indicators based on milk losses and fluctuations in daily milk yield caused by environmental disturbances. In this context, our study aimed to explore milk loss traits and measures of variability in daily milk yield, including log-transformed standard deviation of milk deviations (Lnsd), lag-1 autocorrelation (Ra), and skewness of the deviations (Ske), as indicators of general resilience in dairy cows. The unperturbed dynamics of milk yield as well as milk loss were predicted using an itera

SUBMITTER: Wang A 

PROVIDER: S-EPMC9757536 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature