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

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Abstract

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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 develo** 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.

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    Authors and Affiliations

    1. International Rice Research Institute, DAPO Box 7777, Metro Manila, 1301, Philippines

      Roslen Anacleto, Rosa Paula Cuevas, Rosario Jimenez, Cindy Llorente, Eero Nissila & Nese Sreenivasulu

    2. Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, 4072, Australia

      Robert Henry

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    1. Roslen Anacleto
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    Correspondence to Nese Sreenivasulu.

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    Communicated by R. K. Varshney.

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

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    122_2015_2537_MOESM1_ESM.pdf

    Supplementary Fig. S1. Multiple Spearman’s pair-wise correlations between physical and biochemical traits that breeders commonly use to screen for grain quality. Gelatinization temperature by differential scanning calorimetry is not a routine test for breeding lines; thus, the correlation values shown are only for data generated from the landrace varieties obtained from the IRRI gene bank. Head rice yield data were not measured on the landrace varieties because of insufficient seed quantity. Supplementary material 1 (PDF 658 kb)

    122_2015_2537_MOESM2_ESM.pdf

    Supplementary Fig. S2. Distribution of amylose values for low to intermediate GT-ASV (A) and low GT-ASV (B). Supplementary material 2 (PDF 21 kb)

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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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