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Understanding the genomic selection for crop improvement: current progress and future prospects.

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Genomic selection (GS) accelerates crop improvement by analyzing DNA markers to predict breeding potential for complex traits. This method enhances genetic gain for quantitative traits, crucial for meeting global agricultural demands.

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Area of Science:

  • Agricultural Science
  • Genetics
  • Plant Breeding

Background:

  • Modern breeding has achieved genetic gain, but faster progress is needed for global food security.
  • Marker-assisted selection is effective for simple traits but limited for complex quantitative traits.
  • Genomic selection (GS) emerges as a powerful tool for enhancing complex traits regulated by multiple genes.

Purpose of the Study:

  • To review the transition from conventional breeding to genomic selection (GS).
  • To discuss the statistical underpinnings and methodologies of GS.
  • To explore the application and future prospects of GS in agricultural plants, including climate-resilient crop development.

Main Methods:

  • Genomic selection (GS) utilizes high-density marker data and phenotypic information to predict an individual's breeding value.
  • GS models incorporate all marker data, mitigating bias in marker effect estimation and maximizing the capture of small-effect quantitative trait loci (QTL) variation.
  • The review examines existing GS research in agricultural plants and statistical approaches.

Main Results:

  • GS significantly enhances the prediction of breeding potential for complex traits.
  • It accelerates the breeding cycle, enabling rapid selection of superior genotypes.
  • GS improves heritability estimation and prediction accuracy compared to traditional methods.

Conclusions:

  • Genomic selection (GS) is a promising approach for rapid genetic enhancement of complex traits in plants.
  • Further development of GS models, considering non-additive effects and genotype-by-environment interactions, is essential for widespread adoption.
  • GS holds significant potential for developing climate-resilient crops to address future agricultural challenges.