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Genomic Prediction: Progress and Perspectives for Rice Improvement.

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PubMed
Summary

Genomic prediction can accelerate genetic gain in rice breeding when integrated effectively. However, this chapter emphasizes understanding its benefits and limitations to avoid pitfalls and ensure it

Keywords:
Breeding programGenomic predictionGenomic selectionOryza sativaRice

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Area of Science:

  • Plant breeding
  • Quantitative genetics
  • Genomics

Background:

  • Genomic prediction (GP) is a key tool for enhancing genetic gain in quantitative traits.
  • Interest in GP is high in rice (Oryza sativa), with research covering conceptual and practical aspects.
  • Effective integration of GP into breeding strategies is crucial for maximizing its potential.

Purpose of the Study:

  • To review literature on genomic prediction in rice breeding.
  • To summarize key considerations for integrating GP into breeding programs.
  • To highlight practical challenges and limitations of GP application using a case study.

Main Methods:

  • Literature review on genomic prediction in rice.
  • Case study of the International Rice Research Institute's irrigated breeding program.
  • Provision of data and R scripts for analysis reproduction and challenge illustration.

Main Results:

  • GP offers significant potential for increasing genetic gain in rice.
  • Practical implementation requires careful consideration of benefits and limitations.
  • GP is not universally the best or first approach for all breeding contexts.

Conclusions:

  • Rice breeders should critically evaluate GP's applicability to avoid common technological integration pitfalls.
  • Understanding GP's advantages and disadvantages ensures its appropriate use in breeding programs.
  • Strategic application of GP, rather than blind adoption, is essential for optimizing genetic gain.