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    • Keywords


      rice blast disease; broad-spectrum resistance; quantitative trait loci; molecular breeding; genetic background; marker-assisted selection.

    • Abstract


      Rice blast disease is found worldwide leading to economic losses. Use of resistance gene is effective to improve rice resistance variety. Therefore, to deploy genomic regions harbouring resistance genes, a population of 587 F2:6 recombinant inbred lines (RILs) was developed from a cross between Jao Hom Nin, a Thai black rice variety with broad-spectrum resistance to blast disease, and Kao Dawk Mali 105, a susceptible Thai jasmine variety. The RILs were challenged with 17 blast isolates collected from Thailand and Laos PDR.Quantitative trait locus analysis identified genomic regions associated with broad-spectrum quantitative resistance (qBSRLs) and racespecific quantitative resistance (qRSRLs). Two qBSRLs were detected on chromosomes 1 and 11, and two qRSRLs were detected on chromosomes 8 and 12. The two qBSRLs were introgressed into two new genetic backgrounds through marker-assisted selection (MAS). Twelve breeding lines were tested for their spectra of resistance against 35 blast isolates. The results indicated that both qBSRLs wereeffective in new genetic backgrounds. The flanking markers and qBSRLs identified in the large mapping population showed high selection accuracy and effectiveness, suggesting the routine deployment of MAS technique in rice breeding programmes.

    • Author Affiliations



      1. National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), Thailand Science Park, Phahonyothin Rd., Khlong Luang 12120, Pathum Thani, Thailand
      2. Faculty of Science and Agricultural Technology, Rajamangala University of Technology Lanna, Chiangmai 50300, Thailand
      3. Faculty of Agriculture at Kamphaeng Saen, Department of Agronomy, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73140, Thailand
    • Dates

  • Journal of Genetics | News

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