000			02757nab|a22003377a|4500
999			_c63888 _d63880
001			63888
003			MX-TxCIM
005			20240919021231.0
008			200423s2021||||xxk|||p|op||||00||0|eng|d
022			_a2045-2322
024	8		_ahttps://doi.org/10.1038/s41598-021-91446-2
040			_aMX-TxCIM
041			_aeng
100	1		_aSoriano, J.M. _914488
245	1	0	_aMeta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
260			_aLondon (United Kingdom) : _bNature Publishing Group, _c2021.
500			_aPeer review
500			_aOpen Access
520			_aThe genetic improvement of durum wheat and enhancement of plant performance often depend on the identification of stable quantitative trait loci (QTL) and closely linked molecular markers. This is essential for better understanding the genetic basis of important agronomic traits and identifying an effective method for improving selection efficiency in breeding programmes. Meta-QTL analysis is a useful approach for dissecting the genetic basis of complex traits, providing broader allelic coverage and higher mapping resolution for the identification of putative molecular markers to be used in marker-assisted selection. In the present study, extensive QTL meta-analysis was conducted on 45 traits of durum wheat, including quality and biotic and abiotic stress-related traits. A total of 368 QTL distributed on all 14 chromosomes of genomes A and B were projected: 171 corresponded to quality-related traits, 127 to abiotic stress and 71 to biotic stress, of which 318 were grouped in 85 meta-QTL (MQTL), 24 remained as single QTL and 26 were not assigned to any MQTL. The number of MQTL per chromosome ranged from 4 in chromosomes 1A and 6A to 9 in chromosome 7B; chromosomes 3A and 7A showed the highest number of individual QTL (4), and chromosome 7B the highest number of undefined QTL (4). The recently published genome sequence of durum wheat was used to search for candidate genes within the MQTL peaks. This work will facilitate cloning and pyramiding of QTL to develop new cultivars with specific quantitative traits and speed up breeding programs.
546			_aText in English
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _93563 _aGenes
650		7	_2AGROVOC _91142 _aHard wheat
650		7	_aPlant breeding _gAGROVOC _2 _91203
700	1		_aColasuonno, P. _920660
700	1		_aMarcotuli, I. _920661
700	1		_aGadaleta, A. _920662
773	0		_tNature Scientific Reports _gv. 11, art. 11877 _dLondon (United Kingdom) : Nature Publishing Group, 2021. _x2045-2322 _wa58025
856	4		_yClick here to access online _uhttps://doi.org/10.1038/s41598-021-91446-2
942			_cJA _n0 _2ddc