000			03366nab a22004457a 4500
001			G94598
003			MX-TxCIM
005			20220706170927.0
008			220706s2010 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022			_a0040-5752
024	8		_ahttps://doi.org/10.1007/s00122-010-1351-4
040			_aMX-TxCIM
041			_aeng
090			_aCIS-6156
100	1		_aPinto, R.S. _94075
245	1	0	_aHeat and drought adaptive QTL in a wheat population designed to minimize confounding agronomic effects
260			_aBerlin (Germany) : _bSpringer, _c2010.
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
500			_aPeer review
500			_aOpen Access
520			_aA restricted range in height and phenology of the elite Seri/Babax recombinant inbred line (RIL) population makes it ideal for physiological and genetic studies. Previous research has shown differential expression for yield under water deficit associated with canopy temperature (CT). In the current study, 167 RILs plus parents were phenotyped under drought (DRT), hot irrigated (HOT), and temperate irrigated (IRR) environments to identify the genomic regions associated with stress-adaptive traits. In total, 104 QTL were identified across a combination of 115 traits × 3 environments × 2 years, of which 14, 16, and 10 QTL were associated exclusively with DRT, HOT, and IRR, respectively. Six genomic regions were related to a large number of traits, namely 1B-a, 2B-a, 3B-b, 4A-a, 4A-b, and 5A-a. A yield QTL located on 4A-a explained 27 and 17% of variation under drought and heat stress, respectively. At the same location, a QTL explained 28% of the variation in CT under heat, while 14% of CT variation under drought was explained by a QTL on 3B-b. The T1BL.1RS (rye) translocation donated by the Seri parent was associated with decreased yield in this population. There was no co-location of consistent yield and phenology or height-related QTL, highlighting the utility of using a population with a restricted range in anthesis to facilitate QTL studies. Common QTL for drought and heat stress traits were identified on 1B-a, 2B-a, 3B-b, 4A-a, 4B-b, and 7A-a confirming their generic value across stresses. Yield QTL were shown to be associated with components of other traits, supporting the prospects for dissecting crop performance into its physiological and genetic components in order to facilitate a more strategic approach to breeding.
536			_aGlobal Wheat Program
546			_aText in English
591			_aSpringer
594			_aINT3234|INT1511
650		7	_2AGROVOC _91155 _aInbred lines
650		7	_2AGROVOC _91081 _aDrought stress
650		7	_2AGROVOC _98629 _aField Experimentation
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _96137 _aYield factors
700	1		_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831
700	1		_aMathews, K. _93392
700	1		_aMcIntyre, C.L. _914205
700	1		_aOlivares-Villegas, J.J. _923188
700	1		_aChapman, S. _9458
773	0		_tTheoretical and Applied Genetics _gv. 121, no. 6, p. 1001-1021 _dBerlin (Germany) : Springer, 2010. _wG444762 _x0040-5752
856	4		_yOpen Access through DSpace _uhttp://hdl.handle.net/10883/2812
942			_cJA _2ddc _n0
999			_c28308 _d28308