000 03188nab a22004697a 4500
001 G97655
003 MX-TxCIM
005 20240611233852.0
008 211026s2012 ne |||p|op||| 00| 0 eng d
022 _a1573-5060 (Online)
022 _a0014-2336
024 8 _ahttps://doi.org/10.1007/s10681-012-0687-z
040 _aMX-TxCIM
041 0 _aeng
090 _aCIS-7022
100 1 _aBeecher, F.
_97482
245 1 0 _aIdentification of quantitative trait loci (QTLs) associated with maintenance of wheat (Triticum aestivum Desf.) quality characteristics under heat stress conditions
260 _aDordrecht (Netherlands) :
_bSpringer,
_c2012.
500 _aPeer review
500 _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0014-2336
520 _aThe goal of this study was to identify quantitative trait loci (QTLs) associated with the maintenance of wheat grain quality following post-anthesis heat stress in a recombinant inbred line (RIL) population. The response to heat stress was measured using the sodium dodecyl sulfate sedimentation test (SDSS), a significant predictor of bread baking quality. SDSS scores were used to identify QTLs associated with grain quality and QTLs associated with quality stability were identified based on percent change in SDSS score between the heat stress and control treatments. Four QTLs were identified, located one each on linkage groups 1B, 1D, 4A, and 7A. The 1B, 1D, and 4A QTLs were associated with grain quality; the QTL on linkage group 7A was associated with quality stability. To confirm the detected QTLs, eighty advanced lines grown at three Texas nurseries were tested for relationships between allelic polymorphism at QTL linked markers and quality traits. Quality trait stability in the advanced lines was estimated using the coefficient of variability (CV%) of quality traits between nurseries. The analysis supported the relationship of the predicted QTLs on linkage groups 1B, 1D, and 4A with quality traits. The confirmed QTLs may be used in marker assisted selection (MAS) to develop wheat lines possessing superior quality traits. In addition, identification of genetic regions associated with this trait will aid the identification of the underlying genes.
536 _aGlobal Wheat Program
546 _aText in English
591 _aSpringer
594 _aINT3211
595 _aCSC
650 7 _aWheat
_2AGROVOC
_91310
650 7 _aQuantitative Trait Loci
_2AGROVOC
_91853
650 7 _aGrain
_2AGROVOC
_91138
650 7 _aQuality
_2AGROVOC
_91231
650 7 _aStability
_2AGROVOC
_96345
650 7 _aHeat stress
_2AGROVOC
_91971
650 7 _aMarker-assisted selection
_2AGROVOC
_910737
700 1 _aMason, R.E.
_93848
700 1 _aMondal, S.
_gFormerly Global Wheat Program
_8INT3211
_9904
700 1 _aAwika, J.
_924379
700 1 _aHays, D.B.
_94772
700 1 _aIbrahim, A. M. H.
_97486
773 0 _tEuphytica
_gv. 188, no. 3, p. 361-368
_wG444298
_dDordrecht (Netherlands) : Springer, 2012.
_x0014-2336
856 4 _uhttps://hdl.handle.net/20.500.12665/1426
_yAccess only for CIMMYT Staff
942 _cJA
_2ddc
_n0
999 _c29835
_d29835