000			03590nab a22004937a 4500
001			G95761
003			MX-TxCIM
005			20240919020946.0
008			210707s2012 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022			_a0040-5752
024	8		_ahttps://doi.org/10.1007/s00122-011-1681-x
040			_aMX-TxCIM
041			_aeng
090			_aCIS-6487
100	1		_aVazquez, M.D. _921011
245	1	0	_aGenetic analysis of adult plant, quantitative resistance to stripe rust in wheat cultivar 'Stephens' in multi-environment trials
260			_aBerlin (Germany) : _bSpringer _c2012.
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
520			_aThe wheat (Triticum aestivum L.) cultivar ‘Stephens’ has been grown commercially in the USA Pacific Northwest for 30 years. The durable resistance of ‘Stephens’ to stripe rust (Puccinia striiformis f. sp. tritici) was believed to be due to a combination of seedling and adult plant resistance genes. Multilocation field trials, diversity array technology (DArT), and simple sequence repeat (SSR) markers were used to identify quantitative trait loci (QTL) for resistance. Recombinant inbred lines were assessed for stripe rust response in eight locations/years, five in 2008 and three in 2009. The data from Mt. Vernon, WA, differed from all other environments, and composite interval mapping (CIM) identified three QTL, QYrst.orr-1AL, QYrst.orr-4BS, and QYrpl.orr-6AL, which accounted for 12, 11, and 6% of the phenotypic variance, respectively. CIM across the remaining six environments identified four main QTL. Two QTL, QYrst.orr-2BS.2 and QYrst.orr-7AS, were detected in five of six environments and explained 11 and 15% of the phenotypic variance, respectively. Two other QTL, QYrst.orr-2AS and QYrpl.orr-4BL, were detected across four and three of six environments, and explained 19 and 9% of the phenotypic variance, respectively. The susceptible parent ‘Platte’ contributed QYrpl.orr-4BL and QYrpl.orr-6AL, with the remaining QTL originating from ‘Stephens’. For each environment, additional minor QTL were detected, each accounting for 6–10% of the phenotypic variance. Different QTL with moderate effects were identified in both ‘Stephens’ and ‘Platte’. Significant QTL × environment interactions were evident, suggesting that specificity to plant stage, pathogen genotype, and/or temperature was important.
536			_aGenetic Resources Program|Global Wheat Program
546			_aText in English
591			_aCIMMYT Informa No. 1779|Springer
594			_aINT2585|CCJL01
595			_aCSC
650		7	_2AGROVOC _91310 _aWheat
650		7	_2AGROVOC _91251 _aRusts
650		7	_2AGROVOC _91077 _aDisease resistance
650		7	_2AGROVOC _93563 _aGenes
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _92261 _aMicrosatellites
650		7	_2AGROVOC _91155 _aInbred lines
700	1		_aPeterson, C.J. _921012
700	1		_aRiera-Lizarazu, O. _921013
700	0		_aXianming Chen _92097
700	1		_aHeesacker, A. _921014
700	1		_9844 _aAmmar, K. _gGlobal Wheat Program _8INT2585
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
700	1		_921015 _aMundt, C.C.
773	0		_tTheoretical and Applied Genetics _gv. 124, no. 1, p. 1-11 _dBerlin (Germany) : Springer, 2012. _wG444762 _x0040-5752
856	4		_uhttps://hdl.handle.net/20.500.12665/638 _yAccess only for CIMMYT Staff
942			_cJA _2ddc _n0
999			_c28747 _d28747