Commercial application of marker- and gene-assisted selection in livestock: strategies and lessons.

By J. Dekkers. Journal of Animal Science, 2004

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Accuracy of Predicting the Genetic Risk of Disease Using a Genome-Wide Approach (2008, neutral): “Second, it implies that the predicted rgĝ are upper bounds for the data obtained, since some loss of rgĝ will occur through the use of markers which are potentially in imperfect linkage disequilibrium (LD) with loci with effect [17], and the inclusion of candidate loci that may have no effect within”
Invited review: reliability of genomic predictions for North American Holstein bulls. (2009, background): “Success was limited, and few studies reported substantial gains with real populations (Dekkers, 2004).”
Genomic selection in forest tree breeding: the concept and an outlook to the future (2014, background): “declaring loci as QTL while they are not (false positive); (2) genotype by environment interactions, and (3) overestimation of QTL effects (Beavis 1994; Dekkers 2004).”
Whole-Genome Regression and Prediction Methods Applied to Plant and Animal Breeding (2013, background): “However, the impact on practical breeding programs has been smaller than initially envisaged (Dekkers 2004; Bernardo 2008).”
Marker Assisted Selection (MAS) in Animal Breeding: A Review (2015, methodology): “MAS can be used either by linking MAS disequilibrium or through gene assisted selection in the livestock breeding industry [9].”