000			03339nab|a22004097a|4500
001			69735
003			MX-TxCIM
005			20260107133341.0
008			202512s2025||||-uk|||p|op||||00||0|eng|d
022			_a1471-2164
024	8		_ahttps://doi.org/10.1186/s12864-025-12395-y
040			_aMX-TxCIM
041			_aeng
100	0		_aSu Myat Noe _939576
245	1	0	_aComparing wMAS, GWAS, and genomic prediction for selecting powdery mildew-resistant spring barley genotypes
260			_aLondon (United Kingdom) : _bBioMed Central Ltd., _c2025.
500			_aPeer review
500			_aOpen Access
520			_aBackground: Barley is one of the most widely cultivated cereals worldwide, and powdery mildew is among the major diseases threatening global barley production. Our study evaluated 370 spring barley breeding lines under controlled greenhouse growth conditions. Results: Using genome-wide association study (GWAS), 21 quantitative trait loci (QTL) were identified associated with seedling-stage powdery mildew resistance. Of these, eight were newly identified in this study. Genetic merit was also calculated using major-effect markers, and a positive correlation (> 0.7) was observed between the genetic merit and BLUP (AUDPC) values in both the two subpopulations of two- and six-row barley. While evaluating the performance of genomic prediction (GP) models, a GWAS-incorporated GP model consistently outperformed the Standard GP model in both subpopulations demonstrating the advantage of incorporating major-effect markers for a more accurate prediction. Our analysis of genotype selection patterns revealed a notable degree of agreement among the tested methods. In the two-row subpopulation, a large number of genotypes were exclusively selected by weighted marker-assisted selection (wMAS) revealing the dominance of major-effect QTL. In contrast, the six-row subpopulation had a smaller wMAS-exclusive group, suggesting a more polygenic background, which was captured by genomic prediction. Additionally, genomics-based methods consistently identified resistant genotypes that were overlooked by phenotypic selection, showing their ability to detect hidden genetic potential. Conclusions: Overall, GWAS-incorporated GP model demonstrated the best performance among the evaluated methods, suggesting this approach is the most effective with a potential to contribute to efficient breeding of powdery mildew resistance in spring barley.
546			_aText in English
597			_dSwedish University of Agricultural Sciences (SLU)
650		7	_aGenome-wide association studies _931443 _2AGROVOC
650		7	_aMarker-assisted selection _2AGROVOC _910737
650		7	_aGenomics _2AGROVOC _91132
650		7	_aForecasting _2AGROVOC _92701
650		7	_aBarley _2AGROVOC _91018
650		7	_aPowdery mildews _2AGROVOC _95953
650		7	_aBest linear unbiased predictor _2AGROVOC _926493
700	1		_aPawan Kumar Singh _gGlobal Wheat Program _8INT2868 _9868
700	1		_aOdilbekov, F. _910674
700	1		_aJohansson, E. _939578
700	1		_aChawade, A. _97735
773	0		_tBMC Genomics _gv. 26, no. 1, art. 1091 _dLondon (United Kingdom) : BioMed Central Ltd., 2025. _x1471-2164 _w56896
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36646
942			_cJA _n0 _2ddc
999			_c69735 _d69727