000			03430nab a22004457a 4500
001			68596
003			MX-TxCIM
005			20251201104527.0
008			250129s2024 gw |||p|op||| 00| 0 eng d
022			_a0040-5752
022			_a1432-2242 (Online)
024	8		_ahttps://doi.org/10.1007/s00122-024-04784-w
040			_aMX-TxCIM
041			_aeng
100	0		_aJingyang Tong _919596
245	1	0	_aStacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance
260			_aGermany : _bSpringer, _c2024.
500			_aPeer review
520			_aWheat production is threatened by numerous fungal diseases, but the potential to breed for multiple disease resistance (MDR) mechanisms is yet to be explored. Here, significant global genetic correlations and underlying local genomic regions were identified in the Vavilov wheat diversity panel for six major fungal diseases, including biotrophic leaf rust (LR), yellow rust (YR), stem rust (SR), hemibiotrophic crown rot (CR), and necrotrophic tan spot (TS) and Septoria nodorum blotch (SNB). By adopting haplotype-based local genomic estimated breeding values, derived from an integrated set of 34,899 SNP and DArT markers, we established a novel haplotype catalogue for resistance to the six diseases in over 20 field experiments across Australia and Ethiopia. Haploblocks with high variances of haplotype effects in all environments were identified for three rusts, and pleiotropic haploblocks were identified for at least two diseases, with four haploblocks affecting all six diseases. Through simulation, we demonstrated that stacking optimal haplotypes for one disease could improve resistance substantially, but indirectly affected resistance for other five diseases, which varied depending on the genetic correlation with the non-target disease trait. On the other hand, our simulation results combining beneficial haplotypes for all diseases increased resistance to LR, YR, SR, CR, TS, and SNB, by up to 48.1%, 35.2%, 29.1%, 12.8%, 18.8%, and 32.8%, respectively. Overall, our results highlight the genetic potential to improve MDR in wheat. The haploblock-based catalogue with novel forms of resistance provides a useful resource to guide desirable haplotype stacking for breeding future wheat cultivars with MDR.
546			_aText in English
591			_aTarekegn, Z.T. : Not CIMMYT Affiliation
597			_aClimate adaptation & mitigation _bAccelerated Breeding _bBreeding Resources _bGenebanks _bPlant Health _cGenetic Innovation _dGrains Research and Development Corporation (GRDC) _uhttps://hdl.handle.net/10568/172571
650		7	_aWheat _2AGROVOC _91310
650		7	_aPlant breeding _2AGROVOC _91203
650		7	_aDisease resistance _2AGROVOC _91077
650		7	_aHaplotypes _2AGROVOC _922051
650		7	_aFungal diseases _2AGROVOC _91539
650		7	_aBreeding Value _2AGROVOC _98947
650		7	_aGenetic markers _2AGROVOC _91848
650		7	_aSNP genotyping _2AGROVOC _933946
700	1		_aTarekegn, Z.T. _8001713397 _gGlobal Wheat Program _931150
700	1		_aJambuthenne, D. _938151
700	1		_aAlahmad, S. _919836
700	1		_aPeriyannan, S. _92077
700	0		_aLee T. Hickey _96947
700	1		_aDinglasan, E. _938160
700	1		_aHayes, B. _98589
773	0		_dGermany : Springer, 2024. _gv. 137, art. 274 _tTheoretical and Applied Genetics _wG444762 _x0040-5752
942			_2ddc _cJA _n0
999			_c68596 _d68588