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QTL analyses of heterosis for grain yield and yield-related traits in indica-japonica crosses of rice (Oryza sativa L.)

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Abstract

Two sets of rice materials, 166 RILs derived from a cross between Milyang 23 (Korean indica-type rice) and Tong 88-7 (japonica Rice), and BC1F1 hybrids derived from crosses between the RILs and the female parent, Milyang 23, were produced to identify QTLs for heterosis of yield and yield-related traits. The QTLs were detected from three different phenotype data sets including the RILs, BC1F1 hybrids, and mid-parental heterosis data set acquired from the definition of mid-parental heterosis. A total of 57 QTLs were identified for nine traits. Of eight QTLs detected for yield heterosis, five overlapped with other heterosis QTLs for yield-related traits such as spikelet number per panicle, days to heading, and spikelet fertility. Four QTLs for yield heterosis, gy1.1, py6, gy10, and py11, were newly identified in this study. We identified a total of 17 EpQTLs for yield heterosis that explain 21.4 ∼ 59.0 % of total phenotypic variation, indicating that epistatic interactions may play an important role in heterosis.

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Authors and Affiliations

  1. Department of Plant Science, Plant Genomics and Breeding Institute, and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul, 151-742, Korea

    Sang-Ho Chu, Wenzhu Jiang & Hee-Jong Koh

  2. College of Plant Science, Jilin University, Changchun, 130062, China

    Wenzhu Jiang

  3. Department of Applied Bio Science, Konkuk University, Seoul, 143-701, Korea

    Joohyun Lee

  4. Plant Breeding, Genetics and Biotechnology, International Rice Research Institute, Los Baños, Laguna, DAPO BOX 7777, Manila, Philippines

    Joong Hyoun Chin

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  1. Sang-Ho Chu
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  2. Wenzhu Jiang
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  3. Joohyun Lee
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  4. Joong Hyoun Chin
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  5. Hee-Jong Koh
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Correspondence to Hee-Jong Koh.

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Chu, SH., Jiang, W., Lee, J. et al. QTL analyses of heterosis for grain yield and yield-related traits in indica-japonica crosses of rice (Oryza sativa L.). Genes Genom 34, 367–377 (2012). https://doi.org/10.1007/s13258-011-0223-x

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  • DOI: https://doi.org/10.1007/s13258-011-0223-x

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