000			03376nab a22004697a 4500
999			_c60826 _d60818
001			60826
003			MX-TxCIM
005			20230816210011.0
008			190821s2019 ne |||p|op||| 00| 0 eng d
022			_a1380-3743
022			_a1572-9788 (Online)
024	8		_ahttps://doi.org/10.1007/s11032-019-1013-4
040			_aMX-TxCIM
041	0		_aeng
100	0		_98384 _aNan Wang
245	1	0	_aGenome-wide association study and genomic prediction analyses of drought stress tolerance in China in a collection of off-PVP maize inbred lines
260			_aDordrecht (Netherlands) : _bSpringer, _c2019.
500			_aPeer review
520			_aPhenotypic evaluation of the drought-tolerant traits and identification of the genetic markers associated with these traits in diverse germplasms are essential for developing drought-tolerant germplasm through molecular breeding. A collection of 210 off-PVP (no longer subject to Plant Variety Protection) maize inbred lines introduced from the USA (ALs) were genotyped using a low-coverage sequencing method and phenotyped in eight environments (location × year × treatment) in China. The CV of phenotypic data for six target traits varied from 5.34 to 20.69% under well-watered (WW) conditions and from 5.46 to 35.98% under drought-stressed (WS) conditions. ALs exhibited higher grain yield per plot (GY) under the WS conditions and premature characteristic compared with the local checks, which are important breeding targets in drought tolerance. Two subgroups, SS and NSS, were identified in this collection based on population structure analysis, PCA, and an NJ tree. A total of 413 trait-associated SNPs under the WW conditions and 696 SNPs under the WS conditions were detected in a GWAS (genome-wide association study) analysis, with the phenotypic variation explained by each SNP to the target traits varied from 10.02 to 25.40%. In the genomic prediction (GP) analysis, the prediction models incorporating trait-marker associations showed higher prediction accuracies than the prediction models using an equivalent number of randomly selected SNPs for all the six traits evaluated under both the WW and WS conditions. The results observed in this study provide valuable information for understanding the genetic variation of drought stress tolerance in maize, and show great potential to improve drought stress tolerance in maize via genomic selection.
546			_aText in English
650		7	_aMaize _gAGROVOC _2 _91173
650		7	_aInbred lines _gAGROVOC _2 _91155
650		7	_2AGROVOC _91082 _aDrought tolerance
650		7	_2AGROVOC _91132 _aGenomics
651		7	_93990 _aChina _2AGROVOC
700	0		_910242 _aBojuan Liu
700	0		_910243 _aXiaoling Liang
700	0		_910244 _aYueheng Zhou
700	0		_aJie Song _919337
700	0		_910245 _aJie Yang
700	0		_910246 _aHongjun Yong
700	0		_910247 _aJianfeng Weng
700	0		_910248 _aDegui Zhang
700	0		_910249 _aMingshun Li
700	1		_91434 _aNair, S.K. _gGlobal Maize Program _8INT3232
700	1		_8INT3035 _9884 _aSan Vicente, F.M. _gGlobal Maize Program
700	0		_98385 _aZhuanfang Hao
700	0		_aXuecai Zhang _gGlobal Maize Program _8INT3400 _9951
700	0		_94207 _aXinhai Li
773	0		_dDordrecht (Netherlands) : Springer, 2019. _gv. 39, no. 8, art. 113 _tMolecular Breeding _wu78961 _x1380-3743
942			_2ddc _cJA _n0