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<p>Barley (<i>Hordeum vulgare</i> L.) is among the most important cereal crops worldwide, adapted to dry climates with low inputs on poor soils. A genetic linkage map of barley was constructed with a length of 1838.39cM, using 378 DArT markers, covering 36.01% of the barley genome. A segregating F<sub>3</sub> population of 92 lines, derived from barley cross (Clipper × Local black), was used in the map construction, to identify quantitative trait loci (QTLs) affecting studied traits. A total of 34 QTLs were identified for 16 traits recorded for the combined data of Erbil and Sulaymaniyah field trials, following interval and Kruskal–Wallis mapping analyses. Strong QTLs were detected for plant height, flag leaf area, spike weight/plant and spike weight/main stem for the interval mapping of combined data of both locations, indicating a positive additive effect for alleles contributed from the parents to increase the trait value. Potentially pleiotropic effects were indicated for QTLs of grain weight, biological yield, tiller number and grain number/plant on 3.aH at 280.05cM, linked to marker 525748261:A&gt;G600.83H, for the Grdarash trial data. The QTL–DNA marker associations developed here, considering their strong associations with grain yield, could be used to tag regions of beneficial genes and MAS in future improvement programs of barley.</p>

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Construction of genetic map and identifying QTLs for agro-morphological traits in barley (Hordeum vulgare L.) under rainfed conditions using DArT markers

  • 期刊论文

  • 发表日期：

    2025年10月11日

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  • Asoz Omar Abdullah,
  • Nariman Salih Ahmad,
  • Kamil Mahmood Mustafa,
  • Sean Mayes

摘要

Barley (Hordeum vulgare L.) is among the most important cereal crops worldwide, adapted to dry climates with low inputs on poor soils. A genetic linkage map of barley was constructed with a length of 1838.39cM, using 378 DArT markers, covering 36.01% of the barley genome. A segregating F3 population of 92 lines, derived from barley cross (Clipper × Local black), was used in the map construction, to identify quantitative trait loci (QTLs) affecting studied traits. A total of 34 QTLs were identified for 16 traits recorded for the combined data of Erbil and Sulaymaniyah field trials, following interval and Kruskal–Wallis mapping analyses. Strong QTLs were detected for plant height, flag leaf area, spike weight/plant and spike weight/main stem for the interval mapping of combined data of both locations, indicating a positive additive effect for alleles contributed from the parents to increase the trait value. Potentially pleiotropic effects were indicated for QTLs of grain weight, biological yield, tiller number and grain number/plant on 3.aH at 280.05cM, linked to marker 525748261:A>G600.83H, for the Grdarash trial data. The QTL–DNA marker associations developed here, considering their strong associations with grain yield, could be used to tag regions of beneficial genes and MAS in future improvement programs of barley.