HIGHLIGHTS
- who: Genet. Sel. Evol. and collaborators from the Faculty of Veterinary, Universidad de Chile, Avda Santa Rosa, Santiago, Chile have published the research work: Further insights of the variance component method for detecting QTL in livestock and aquacultural species: relaxing the assumption of additive effects, in the Journal: (JOURNAL)
- what: The authors investigated the empirical power and accuracy to both detect and localise dominant QTL with or without incorporating dominance effects explicitly in the model of analysis. The authors investigated the behaviour of the mixed linear model when modelling dominance variance at the QTL in . . .
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