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Prospects of breeding high-quality rice using post-genomic tools

Abstract

Key message

The holistic understanding derived from integrating grain quality and sensory research outcomes in breeding high-quality rice in the light of post-genomics resources has been synthesized.

Abstract

Acceptance of new rice genotypes by producers and consumers hinges not only on their potential for higher yield but recent emphasis has also been on premium-value genotypes that have the ability to satisfy consumer preferences for grain quality. This review article provides insights into how to link grain quality attributes and sensory perception to support breeding superior rice varieties. Recent advances in quality profiling and omics technologies have provided efficient approaches to identify the key genes and biochemical markers involved in rice quality traits. Emphasis has been given to the upcoming area of holistic understanding of grain quality and attributes derived from sensory evaluation to leverage integrative gene discovery strategies that enable breeding programs to efficiently tap the huge genetic diversity in rice for novel genes that enhance rice food quality.

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Acknowledgments

The authors thank Prof. A. Dobermann, Rothamsted Research Institute, UK for insightful comments and helpful discussions. We also thank all IRRI breeders who actively contributed in developing lines with distinct quality profiles. We thank colleagues of Schimatzu Pvt. Ltd. and Thermo Scientific Ltd. for technical runs of aroma profiling using Gc–MS platforms. This work has been supported under the CGIAR thematic area Global Rice Science Partnership (GRISP) funding and Japan Breeding project.

Conflict of interest

All authors have no conflict of interest.

Author information

Correspondence to Nese Sreenivasulu.

Additional information

Roslen Anacleto and Rosa Paula Cuevas have contributed equally to this work.

Communicated by R. K. Varshney.

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Anacleto, R., Cuevas, R.P., Jimenez, R. et al. Prospects of breeding high-quality rice using post-genomic tools. Theor Appl Genet 128, 1449–1466 (2015). https://doi.org/10.1007/s00122-015-2537-6

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Keywords

  • Amylose
  • Quality Trait
  • Genomic Selection
  • Amylose Content
  • International Rice Research Institute