000			03440nab|a22003857a|4500
001			65198
003			MX-TxCIM
005			20231017232121.0
008			20221s2022||||mx |||p|op||||00||0|eng|d
022			_a0018-067X
022			_a1365-2540 (Online)
024	8		_ahttps://doi.org/10.1038/s41437-022-00503-7
040			_aMX-TxCIM
041			_aeng
100	1		_aFradgley, N. S. _8001713762 _gGlobal Wheat Program _917394
245	1	1	_aTrade-offs in the genetic control of functional and nutritional quality traits in UK winter wheat
260			_bSpringer Nature, _c2022. _aUnited Kingdom :
500			_aPeer review
500			_aOpen Access
520			_aA complex network of trade-offs exists between wheat quality and nutritional traits. We investigated the correlated relationships among several milling and baking traits as well as mineral density in refined white and whole grain flour. Our aim was to determine their pleiotropic genetic control in a multi-parent population over two trial years with direct application to practical breeding. Co-location of major quantitative trait loci (QTL) and principal component based multi-trait QTL mapping increased the power to detect QTL and revealed pleiotropic effects explaining many complementary and antagonistic trait relationships. High molecular weight glutenin subunit genes explained much of the heritable variation in important dough rheology traits, although additional QTL were detected. Several QTL, including one linked to the TaGW2 gene, controlled grain size and increased flour extraction rate. The semi-dwarf Rht-D1b allele had a positive effect on Hagberg falling number, but reduced grain size, specific weight, grain protein content and flour water absorption. Mineral nutrient concentrations were lower in Rht-D1b lines for many elements, in wholemeal and white flour, but potassium concentration was higher in Rht-D1b lines. The presence of awns increased calcium content without decreasing extraction rate, despite the negative correlation between these traits. QTL were also found that affect the relative concentrations of key mineral nutrients compared to phosphorus which may help increase bioavailability without associated anti-nutritional effects of phytic acid. Taken together these results demonstrate the potential for marker-based selection to optimise trait trade-offs and enhance wheat nutritional value by considering pleiotropic genetic effects across multiple traits.
546			_aText in English
650		7	_2AGROVOC _91310 _aWheat
650		7	_2AGROVOC _91694 _aGenetic control
650		7	_2AGROVOC _91193 _aNutritive value
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
651		7	_2AGROVOC _98073 _aUnited Kingdom of Great Britain and Northern Ireland
700	1		_aGardner, K.A. _8001712617 _gGenetic Resources Program _917393
700	1		_aKerton, M. _927162
700	1		_aSwarbreck, S.M. _925936
700	1		_aBentley, A.R. _8001712492 _gFormerly Global Wheat Program _99599
773	0		_tHeredity _dUnited Kingdom : Springer Nature, 2022 _x0018-067X _gv. 128, p. 420–433 _wG444336
856			_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22053
942			_cJA _n0 _2ddc
999			_c65198 _d65190