Genomic selection: genome-wide prediction in plant improvement

Desta, Zeratsion AberaSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för växtförädling,Department of Plant Breeding (author)

Association analysis is used to measure relations between markers and quantitative trait loci (QTL). Their estimation ignores genes with small effects that trigger underpinning quantitative traits. By contrast, genomewide selection estimates marker effects across the whole genome on the target population based on a prediction model developed in the training population (TP). Whole-genome prediction models estimate all marker effects in all loci and capture small QTL effects. Here, we review several genomic selection (GS) models with respect to both the prediction accuracy and genetic gain from selection. Phenotypic selection or markerassisted breeding protocols can be replaced by selection, based on whole-genome predictions in which phenotyping updates the model to build up the prediction accuracy.

Ortiz Rios, Rodomiro OctavioSwedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för växtförädling,Department of Plant Breeding(Swepub:slu)46847 (author)
Sveriges lantbruksuniversitetInstitutionen för växtförädling (creator_code:org_t)
Sveriges lantbruksuniversitet

About the subject

AGRICULTURAL SCIENCES: AGRICULTURAL SCI ...; and Agricultural Bio ...; and Plant Biotechnol ...

AGRICULTURAL SCIENCES: AGRICULTURAL SCI ...; and Agricultural Bio ...; and Genetics and Bre ...

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