A general belief across the dairy community, both scientific and commercial, is that of an
antagonistic association between milk production and reproductive performance of dairy …

Phenotypic traits may exert causal effects between them. For example, on the one hand,
high yield in dairy cows may increase the liability to certain diseases and, on the other hand …

The existence of genetic control over the abundance of particular taxa and the link of these
to energy balance and growth has been documented in model organisms and humans as …

Structural equation models (SEMs) are multivariate specifications capable of conveying
causal relationships among traits. Although these models offer insights into how phenotypic …

Structural equation models allow causal effects between 2 or more variables to be
considered and can postulate unidirectional (recursive models; RM) or bidirectional …

Mastitis is one of the most prevalent and costly diseases in dairy cattle. It results in changes
in milk composition and quality which are indicators of udder inflammation in absence of …

Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data
usually presenting the characteristics of uncertainty, high dimensionality and large …

Genetic parameters for total number of piglets born per litter, number of piglets weaned per
litter, lean meat content, and average daily gain from birth till the end of the field test were …

Data regularly recorded in commercial herds have been used extensively for estimation of
disease incidence rates, for inferences regarding genetic and phenotypic associations …

Background Structural equation models (SEM) are used to model multiple traits and the
casual links among them. The number of different causal structures that can be used to fit a …