articleCrop ScienceJan 1, 2009Closed access

Genomic Selection for Crop Improvement

Cornell University · Robert W. Holley Center for Agriculture & Health

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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…

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Authors

3

Topics & keywords

Keywords
  • Biology
  • Quantitative trait locus
  • Genomic selection
  • Selection (genetic algorithm)
  • Heritability
  • Marker-assisted selection
  • Trait
  • Population
UN Sustainable Development Goals
  • Zero hunger
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