Most quantitative traits are controlled by multiple quantitative trait loci (QTL). The contribution of each locus may be negligible but the collective contribution of all loci is usually significant. Genome selection that uses markers of the entire genome to predict the genomic values of individual plants or animals can be more efficient than selection on phenotypic values and pedigree information alone for genetic improvement. When a quantitative trait is contributed by epistatic effects, using all markers (main effects) and marker pairs (epistatic effects) to predict the genomic values of plants can achieve the maximum efficiency for genetic improvement.
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 June 2012.
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#22,690,735
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#67
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#188,103
of 207,231 outputs
Outputs of similar age from BMC Genetics
#2
of 2 outputs
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So far Altmetric has tracked 87 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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