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However, specific life events may alter the magnitude of genetic expression on a given trait, or it may in fact instigate different genetic processes altogether.
Methodological adaptationism differs markedly from empirical adaptationism in that the former acknowledges the possibility that natural selection may ultimately prove not to have the most influence on a given trait's evolution.
Lambda measures if phylogeny correctly predicts the patterns of covariance among species on a given trait, that is, the strength of the phylogenetic signal.
The parameter λ estimates whether the phylogeny correctly predicts the patterns of covariance among species on a given trait, where λ = 0 indicates phylogenetic independence like a big-bang phylogeny, and λ = 1 denotes evolution in accordance with the topology of the phylogeny.
Higher scores indicate higher levels on a given trait.
They may provide a measurement of the importance of each marker on a given trait and good predictive performance.
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Hence, genetic correlations may impose constraints on the evolution of a given trait.
Mrode (1996) suggests that the improvement in accuracy between a univariate and bivariate analysis of a given trait depends on the absolute difference between the genetic and residual correlations between the two traits and their heritability, with the trait with a lower heritability benefitting more than the other trait.
In this case, it did not appear that differential selection across controlled conditions resulted in constraints on evolution for a given trait.
Enrichment (overrepresentation) of biological process (BP) terms, preferably based on multiple QTL regions for a given trait, allows association of the trait-of-interest with specific biological processes.
This approach is based on the identification of the genetic determinism causing phenotypic variation for a given trait between accessions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com