000			02776nab a22003497a 4500
001			69565
003			MX-TxCIM
005			20251217132350.0
008			251121s2025 xxk|||p|op||| 00| 0 eng d
022			_a2524-4167
024	8		_ahttps://doi.org/10.1186/s42483-025-00371-z
040			_aMX-TxCIM
041			_aeng
100	1		_aCong Li _929251
245	1	0	_aIdentification and validation of a major QTL on chromosome 2A for wheat-Parastagonospora nodorum interactions
260			_aLondon (United Kingdom) : _bBMC, _c2025.
500			_aPeer review
500			_aOpen Access
520			_aWheat (Triticum aestivum L.) is frequently affected by Septoria nodorum blotch (SNB), a fungal disease that significantly reduces wheat yields. In this study, two recombinant inbred line (RIL) populations, developed from crosses involving two elite CIMMYT breeding lines (WUYA and KATH) and a common susceptible male parent (CIANO T79), were used to detect quantitative trait loci (QTL) associated with SNB resistance. High-density genetic maps were constructed for these RIL populations by incorporating presence/absence variation (PAV) markers using the DArTseq genotyping platform. Three major and stable QTL linked to SNB resistance were identified on chromosomes 2A, 4B, and 5B. Among these, QSnb.cim-2A accounted for 22.16%–28.74% and 17.62%–19.71% of the phenotypic variation in the WUYA/CIANO T79 and KATH/CIANO T79 populations, respectively, and it was also validated in the CASCABEL/CIANO T79 RIL population. The remaining two QTL, QSnb.cim-4B and QSnb.cim-5B, were found to be associated with Rht-B1b and tsn1, respectively. The combined effect of these three QTL significantly improved SNB resistance while also reducing plant height, indicating their promising utilization in wheat breeding programs.
546			_aText in English
597			_aClimate adaptation & mitigation _aNutrition, health & food security _bBreeding Resources _bAccelerated Breeding _bPlant Health _cResilient Agrifood Systems _cGenetic Innovation _dBill & Melinda Gates Foundation (BMGF) _dUnited States Agency for International Development (USAID) _uhttps://hdl.handle.net/10568/178355 _fBreeding for Tomorrow
650		7	_aSoft wheat _2AGROVOC _91265
650		7	_aLeptosphaeria nodorum _2AGROVOC _95610
650		7	_aQuantitative trait loci mapping _2AGROVOC _929051
650		7	_aDisease resistance _2AGROVOC _91077
700	1		_aXinyao He _gGlobal Wheat Program _8INT3297 _9913
700	0		_aJian Ma _940599
700	1		_aPawan Kumar Singh _gGlobal Wheat Program _8INT2868 _9868
773	0		_dLondon (United Kingdom) : BMC, 2025. _gv. 7, art. 82 _tPhytopathology Research _x2524-4167
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36143
942			_2ddc _cJA _n0
999			_c69565 _d69557