African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12486

Full Length Research Paper

Identification and mapping of quantitative trait loci associated with soybean rust (Phakopsora pachyrhizi) resistance in genotype UG 5

Hailay Mehari Gebremedhn
  • Hailay Mehari Gebremedhn
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Ulemu Mercy Msiska
  • Ulemu Mercy Msiska
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Miesho Belay Weldekidan
  • Miesho Belay Weldekidan
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Fentaw Abate Asmamaw
  • Fentaw Abate Asmamaw
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Akech Winnifred
  • Akech Winnifred
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Dramadri Isaac Onziga
  • Dramadri Isaac Onziga
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Thomas Lapaka Odong
  • Thomas Lapaka Odong
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Patrick Rubaihayo
  • Patrick Rubaihayo
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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Phinehas Tukamuhabwa
  • Phinehas Tukamuhabwa
  • Department of Agricultural Production, School of Agriculture, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
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  •  Received: 25 September 2018
  •  Accepted: 31 October 2018
  •  Published: 28 November 2018

Abstract

Soybean rust, Phakopsora pachyrhizi, is one of the most serious and widespread foliar diseases of soybean causing high yield losses world-wide. The objective of this study was to identify and map quantitative trait loci (QTLs) resistant to soybean rust in genotype UG 5. Ninety-seven F2 mapping plants, obtained from a cross between Wondersoya and UG 5, were used for this study. Quantitative trait locus analysis using QTL IciMapping software identified three putative QTLs associated with soybean rust (SBR) on chromosomes 6, 9 and 18 with logarithms of odds (LOD) scores ranging from 3.47 to 8.23 and phenotypic variance explained by the QTLs ranging from 18.3 to 25.6%. The putative QTL detected on chromosome 9 is novel and has not been reported elsewhere. The putative QTLs identified in this study could help to facilitate SBR resistance breeding towards efficient marker-assisted selection approach and gene pyramiding leading to the development of durable resistance.

 

Key words: Linkage map, segregation, simple sequence repeat (SSR).

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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