000			03186nab|a22004097a|4500
999			_c61177 _d61169
001			61177
003			MX-TxCIM
005			20211006080208.0
008			191215s2019||||xxu|||p|op||||00||0|eng|d
022			_a2160-1836
024	8		_ahttps://doi.org/10.1534/g3.119.400811
040			_aMX-TxCIM
041			_aeng
100	1		_aBHATTA, M.R. _93331
245	1		_aMarker-trait associations for enhancing agronomic performance, disease resistance, and grain quality in synthetic and bread wheat accessions in Western Siberia
260			_aBethesda, MD (USA) : _bGenetics Society of America, _c2019.
500			_aPeer review
500			_aOpen Access
520			_aExploiting genetically diverse lines to identify genes for improving crop performance is needed to ensure global food security. A genome-wide association study (GWAS) was conducted using 46,268 SNP markers on a diverse panel of 143 hexaploid bread and synthetic wheat to identify potential genes/genomic regions controlling agronomic performance (yield and 26 yield-related traits), disease resistance, and grain quality traits. From phenotypic evaluation, we found large genetic variation among the 35 traits and recommended five lines having a high yield, better quality, and multiple disease resistance for direct use in a breeding program. From a GWAS, we identified a total of 243 significant marker-trait associations (MTAs) for 35 traits that explained up to 25% of the phenotypic variance. Of these, 120 MTAs have not been reported in the literature and are potentially novel MTAs. In silico gene annotation analysis identified 116 MTAs within genes and of which, 21 MTAs were annotated as a missense variant. Furthermore, we were able to identify 23 co-located multi-trait MTAs that were also phenotypically correlated to each other, showing the possibility of simultaneous improvement of these traits. Additionally, most of the co-located MTAs were within genes. We have provided genomic fingerprinting for significant markers with favorable and unfavorable alleles in the diverse set of lines for developing elite breeding lines from useful trait-integration. The results from this study provided a further understanding of genetically complex traits and would facilitate the use of diverse wheat accessions for improving multiple traits in an elite wheat breeding program.
546			_aText in English
650		7	_2AGROVOC _91313 _aYields
650		7	_2AGROVOC _91138 _aGrain
650		7	_aWheat _gAGROVOC _2 _91310
650		7	_aRusts _gAGROVOC _2 _91251
650		7	_2AGROVOC _91974 _aGluten
650		7	_aAgronomic characters _gAGROVOC _2 _91008
650		7	_aGenomes _gAGROVOC _2 _91131
700	1		_aShamanin, V. _93270
700	1		_aShepelev, S.S. _95845
700	1		_aBaenziger, P.S. _9423
700	1		_a Pozherukova, V.E. _95846
700	1		_a Pototskaya, I.V. _95842
700	1		_9833 _aMorgounov, A.I. _gFormerly Global Wheat Program _8INT1787
773	0		_tG3: Genes, Genomes, Genetics _gv. 9, no. 12, p. 4209-4222 _dBethesda, MD (USA) : Genetics Society of America, 2019. _x2160-1836 _wu56922
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/20601
942			_cJA _n0 _2ddc