Genomic Selection for Crop Improvement
Cornell University · Robert W. Holley Center for Agriculture & Health
Abstract
ABSTRACT Despite important strides in marker technologies, the use of marker‐assisted selection has stagnated for the improvement of quantitative traits. Biparental mating designs for the detection of loci affecting these traits (quantitative trait loci [QTL]) impede their application, and the statistical methods used are ill‐suited to the traits' polygenic nature. Genomic selection (GS) has been proposed to address these deficiencies. Genomic selection predicts the breeding values of lines in a population by analyzing their phenotypes and high‐density marker scores. A key to the success of GS is that it incorporates all marker information in the prediction model, thereby avoiding biased marker effect…
Citation impact
- FWCI
- 39.30
- Percentile
- 100%
- References
- 92
Authors
3Topics & keywords
- Biology
- Quantitative trait locus
- Genomic selection
- Selection (genetic algorithm)
- Heritability
- Marker-assisted selection
- Trait
- Population
- Zero hunger