How do we quantify patterns (such as responses to local selection) sampled across multiple
populations within a single species? Key to this question is the extent to which populations …

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 …

Cryptic evolution has been defined as adaptive evolutionary change being masked by
concurrent environmental change. Empirical studies of cryptic evolution have usually …

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 …

Coronary heart disease (CHD) is a complex disease, which is influenced not only by genetic
and environmental factors but also by gene–environment (GE) interactions in interconnected …

Abstract Background/Aims: Structural Equation Modeling (SEM) is an analysis approach that
accounts for both the causal relationships between variables and the errors associated with …

This work aimed to study the relationship between pH of the semen and fertility (Fert, defined
as the success or failure of conception), which is of special interest because pH of the …

Multiple‐trait random regression models with recursive phenotypic link from somatic cell
score (SCS) to milk yield on the same test day and with different restrictions on co‐variances …

The main objective of selection for beef cattle is weight at slaughter. Live weights throughout
growth are currently used as selection criteria under the hypothesis of favorable genetic …