000			03008nab a22003977a 4500
999			_c60014 _d60006
001			60014
003			MX-TxCIM
005			20211006082417.0
008			190124s2018 gw |||po|p||| 00| 0 eng d
024	8		_ahttps://doi.org/10.1007/s00122-018-3122-6
040			_aMX-TxCIM
041			_aeng
100	0		_97622 _aFaji Li
245	1		_aGenome‑wide linkage mapping of yield‑related traits in three chinese bread wheat populations using high‑density SNP markers
260			_aGermany : _bSpringer, _c2018.
500			_aPeer review
520			_aIdentification of quantitative trait loci (QTL) for yield-related traits and closely linked molecular markers is important in order to identify gene/QTL for marker-assisted selection (MAS) in wheat breeding. The objectives of the present study were to identify QTL for yield-related traits and dissect the relationships among different traits in three wheat recombinant inbred line (RIL) populations derived from crosses Doumai × Shi 4185 (D × S), Gaocheng 8901 × Zhoumai 16 (G × Z) and Linmai 2 × Zhong 892 (L × Z). Using the available high-density linkage maps previously constructed with the wheat 90 K iSelect single nucleotide polymorphism (SNP) array, 65, 46 and 53 QTL for 12 traits were identified in the three RIL populations, respectively. Among them, 34, 23 and 27 were likely to be new QTL. Eighteen common QTL were detected across two or three populations. Eleven QTL clusters harboring multiple QTL were detected in different populations, and the interval 15.5–32.3 cM around the Rht-B1 locus on chromosome 4BS harboring 20 QTL is an important region determining grain yield (GY). Thousand-kernel weight (TKW) is significantly affected by kernel width and plant height (PH), whereas flag leaf width can be used to select lines with large kernel number per spike. Eleven candidate genes were identified, including eight cloned genes for kernel, heading date (HD) and PH-related traits as well as predicted genes for TKW, spike length and HD. The closest SNP markers of stable QTL or QTL clusters can be used for MAS in wheat breeding using kompetitive allele-specific PCR or semi-thermal asymmetric reverse PCR assays for improvement of GY.
526			_aWC
546			_aText in English
650		7	_91265 _aSoft wheat _2AGROVOC
650		7	_aGenomes _gAGROVOC _2 _91131
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
700	0		_93035 _aWeie Wen
700	1		_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838
700	0		_93032 _aJindong Liu
700	0		_93031 _aHui Jin
700	0		_95093 _aShuanghe Cao
700	0		_97623 _aHongwei Geng
700	1		_9381 _aYan Jun
700	0		_95892 _aPingzhi Zhang
700	0		_95893 _aYingxiu Wan
700	0		_9377 _aXianchun Xia
773	0		_gv. 131, no. 9, p. 1903–1924 _tTheoretical and Applied Genetics _wu444762 _x0040-5752
856	4		_uhttps://libcatalog.cimmyt.org/download/cis/60014.pdf _yAccess only for CIMMYT Staff
942			_2ddc _cJA _n0