000			02950nab|a22003497a|4500
999			_c60942 _d60934
001			60942
003			MX-TxCIM
005			20220315163149.0
008			190913s2019||||ne |||p|op||||00||0|eng|d
022			_a1380-3743
022			_a1572-9788 (Online)
024	8		_ahttps://doi.org/10.1007/s11032-019-1040-1
040			_aMX-TxCIM
041			_aeng
100	0		_aCaiyun Liu _8001711772 _99938 _gGlobal Wheat Program
245	1	0	_aMulti-environment QTL analysis using an updated genetic map of a widely distributed Seri × Babax spring wheat population
260			_aDordrecht (Netherlands) : _bSpringer, _c2019.
500			_aPeer review
520			_aSeri/Babax spring wheat RIL population was developed to minimize the confounding effect of phenology in the genetic dissection of abiotic stress traits. An existing linkage map (< 500 markers) was updated with 6470 polymorphic Illumina iSelect 90K array and DArTseq SNPs to a genetic map of 5576.5 cM with 1748 non-redundant markers (1165 90K SNPs, 207 DArTseq SNPs, 183 AFLP, 111 DArT array, and 82 SSR) assigned to 31 linkage groups. We conducted QTL mapping for yield and related traits phenotyped in several major wheat growing areas in Egypt, Sudan, Iran, India, and Mexico (nine environments: heat, drought, heat plus drought, and yield potential). QTL analysis identified 39 (LOD 2.5?23.6; PVE 4.8?21.3%), 36 (LOD 2.5?15.4; PVE 2.9?21.4%), 30 (LOD 2.5?13.1; PVE 3.6?26.8%), 39 (LOD 2.7?14.4; PVE 2.6?15.9%), and 22 (LOD 2.8?4.8; PVE 6.8?12.9%) QTLs for grain yield, thousand-grain weight, grain number, days to heading, and plant height, respectively. The present study confirmed QTLs from previous studies and identified novel QTLs. QTL analysis based on high-yielding and low-yielding environmental clusters identified 11 QTLs (LOD 2.6?14.9; PVE 2.7?19.7%). The updated map thereby provides a better genome coverage (3.5-fold) especially on the D genome (4-fold), higher density (1.1-fold), and a good collinearity with the IWGSC RefSeq v1.0 genome, and increased the number of detected QTLs (5-fold) compared with the earlier map. This map serves as a useful genomic resource for genetic analyses of important traits on this wheat population that was widely distributed around the world.
546			_aText in English
650		7	_2AGROVOC _91806 _aSpring wheat
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _91138 _aGrain
700	1		_aKhodaee, M. _910661
700	1		_9865 _aLopes, M.S. _gGlobal Wheat Program _8INT2835
700	1		_9766 _aSansaloni, C.P. _gGenetic Resources Program _8CSAC01
700	1		_aDreisigacker, S. _8INT2692 _9851 _gGlobal Wheat Program
700	1		_aSukumaran, S. _gFormerly Global Wheat Program _8INT3330 _9920
700	1		_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831
773	0		_tMolecular Breeding _gv. 39, no. 9, art. 134 _dDordrecht (Netherlands) : Springer, 2019. _x1380-3743 _wu78961
942			_cJA _n0 _2ddc