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Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench]

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  • Girma Mengistu
  • Hussein Shimelis
  • Ermias Assefa
  • Dagnachew Lule

Abstract

In warm-humid ago-ecologies of the world, sorghum [Sorghum bicolor (L.) Moench] production is severely affected by anthracnose disease caused by Colletotrichum sublineolum Henn. New sources of anthracnose resistance should be identified to introgress novel genes into susceptible varieties in resistance breeding programs. The objective of this study was to determine genome-wide association of Diversity Arrays Technology Sequencing (DArTseq) based single nucleotide polymorphisms (SNP) markers and anthracnose resistance genes in diverse sorghum populations for resistance breeding. Three hundred sixty-six sorghum populations were assessed for anthracnose resistance in three seasons in western Ethiopia using artificial inoculation. Data on anthracnose severity and the relative area under the disease progress curve were computed. Furthermore, the test populations were genotyped using SNP markers with DArTseq protocol. Population structure analysis and genome-wide association mapping were undertaken based on 11,643 SNPs with

Suggested Citation

  • Girma Mengistu & Hussein Shimelis & Ermias Assefa & Dagnachew Lule, 2021. "Genome-wide association analysis of anthracnose resistance in sorghum [Sorghum bicolor (L.) Moench]," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-15, December.
    • Handle: RePEc:plo:pone00:0261461
    DOI: 10.1371/journal.pone.0261461
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    References listed on IDEAS

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    1. Xiaolei Liu & Meng Huang & Bin Fan & Edward S Buckler & Zhiwu Zhang, 2016. "Iterative Usage of Fixed and Random Effect Models for Powerful and Efficient Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 12(2), pages 1-24, February.
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