Principal component and cluster analyses to evaluate production and milk quality traits

Therefore, this study aimed to evaluate the monthly production, composition and quality of milk considering the variables of the total dry extract (TDE) and defatted

The small differences among economic values for milk, protein and fat across the different milk production systems involved in the present work indicate that it is possible to

Abstract – The objective of this work was to estimate genetic parameters for bird carcass and meat quality traits, as well as to explore the genetic patterns of the breeding values

Thus, this study aimed to evaluate the relationship between production scale on dairy farms and milk quality, how it behaviors throughout the year and set goals to improve

In the Principal Component Analysis, component I, responsible for 25.08% of the variation in the data, is related to the wave height and period and with the morphodynamic state of

Traits related to milk quality (total solids) and udder health (somatic cell count) are important in dairy production.. In dairy goat production, milk quality has an essential

This study aimed at evaluating levels of concentrate supplementation on the production and quality of the milk, on intake and efficiency of nutrient use for milk production by

This study used multivariate data analysis, through principal component analysis and hierarchical cluster analysis, in order to identify water quality parameters and sampling