Abstract
Based on different marker information content mapping of QTLs for Fusarium head blight resistance in wheat was compared with regard to number and consistency of detected QTLs as well as QTL positions and effects. Therefore, two linkage maps, obtained by ‘dominant’ and ‘codominant genotyping’ of hemizygous markers, were constructed with 211 AFLPs, 37 SSRs and the barley RGA marker XaACT/CAA. The ‘codominant marker set’ comprised 59% codominant markers, whereas the ‘dominant map’ consisted of only 13%. A segregating wheat population of 94 F4-RILs was used for QTL analysis. Fusarium head blight resistance was estimated in field trials in six environments. Conventional ‘dominant marker scoring’ found seven QTLs. The phenotypic variations explained by QTLs detected in single environment analyses ranged from 11.1 to 44.6%. QTL analysis performed with the ‘codominant marker set’ confirmed not only all QTL positions as revealed by ‘dominant QTL analysis', but also 12 additional QTLs were found. QTLs in single environments explained 36.3 up to 55.7% of the phenotypic variation. In the QTL analysis across all environments, none of the QTLs could be confirmed using ‘dominant marker scoring’. However, by ‘codominant QTL analysis' environment-specific QTLs were retrieved. STS marker XaACT/CAA was found to be significantly associated with FHB resistance only by ‘codominant scoring’. Support intervals of QTLs commonly found in both marker sets averaged to 10.3 cM in the ‘dominant QTL analysis', whereas the length was shortened to 8.9 cM by ‘codominant genotyping’. The advantages of extracting codominant information from dominant markers are discussed.
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Klahr, A., Mohler, V., Herz, M. et al. Enhanced power of QTL detection for Fusarium head blight resistance in wheat by means of codominant scoring of hemizygous molecular markers. Molecular Breeding 13, 289–300 (2004). https://doi.org/10.1023/B:MOLB.0000034075.99093.09
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DOI: https://doi.org/10.1023/B:MOLB.0000034075.99093.09