Derivation of multivariate indices of milk composition, coagulation properties, and individual cheese yield in dairy sheep

Milk composition and its technological properties are traits of interest for the dairy sheep industry because almost all milk produced is processed into cheese. However,
several variables define milk technological properties and a complex correlation pattern exists among them. In the present work, we measured milk composition,
coagulation properties, and individual cheese yields in a sample of 991 Sarda breed ewes in 47 flocks. The work aimed to study the correlation pattern among
measured variables and to obtain new synthetic indicators of milk composition and cheese-making properties. Multivariate factor analysis was carried out on individual
measures of milk coagulation parameters; cheese yield; fat, protein, and lactose percentages; somatic cell score; casein percentage; NaCl content; pH; and freezing
point. Four factors that were able to explain about 76% of the original variance were extracted. They were clearly interpretable: the first was associated with composition
and cheese yield, the second with udder health status, the third with coagulation, and the fourth with curd characteristics. Factor scores were then analyzed
by using a mixed linear model that included the fixed effect of parity, lambing month, and lactation stage, and the random effect of flock-test date. The patterns of
factor scores along lactation stages were coherent with their technical meaning. A relevant effect of flock-test date was detected, especially on the 2 factors related
to milk coagulation properties. Results of the present study suggest the existence of a simpler latent structure that regulates relationships between variables defining
milk composition and coagulation properties in sheep. Heritability estimates for the 4 extracted factors were from low to moderate, suggesting potential use of these
new variables as breeding goals.