000			03120nab a22004097a 4500
001			G97780
003			MX-TxCIM
005			20230522185942.0
008			210809s2013 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022	0		_a0040-5752
024	8		_ahttps://doi.org/10.1007/s00122-012-2034-0
040			_aMX-TxCIM
041			_aeng
090			_aCIS-7067
100	1		_aHamwieh, A. _92845
245	1	0	_aMulti-environment QTL analyses for drought-related traits in a recombinant inbred population of chickpea (Cicer arientinum L.)
260			_aBerlin (Germany) : _bSpringer, _c2013.
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			_aA recombinant inbred line (RIL) population, comprising 181 lines derived from ILC588 × ILC3279, was evaluated in 10 environments across three locations with different moisture gradients. A drought resistance score (DRS) and three phenology traits—plant height (PLHT), days to flowering (DFLR), and days to maturity (MAT)—were recorded along with seven yield-related traits—grain yield (GY), biological yield (BY), harvest index (HI), the number of pods/3 plants (Pod), percentage of empty pods (%Epod), 100 seed weight (100 sw), and seed number/3 plants (SN). Two RILs (152, 162) showed the best GYs and DRSs under stressed and non-stressed environments. The quantitative trait loci (QTLs) analyses detected 93 significant QTLs (LOD ≥ 2.0) across the genome × environment interactions. The highest phenotypic variation (>24 %) was explained by the QTLDFLR in Terbol-11. Four common possible pleiotropic QTLs on LG3 and LG4 were identified as associated with DFLR, DRS, GY, MAT, HI, SN, and Pod. No significant epistatic interactions were found between these QTLs and the other markers. However, the QTL for DRS was detected as a conserved QTL in three late planting environments. The markers H6C-07 (on LG3) and H5G01 (on LG4) were associated with QTLs for many traits in all environments studied except two. The allele ‘A’ of marker H6C07 (from the tolerant parent ILC588) explained 80 % of the yield increase under late planting and 29.8 % of that under dry environments. Concentrating on LG3 and LG4 in molecular breeding programs for drought could speed up improvement for these traits.
536			_aGlobal Wheat Program
546			_aText in English
591			_aCIMMYT Informa No. 1829|Springer
594			_aINT3326
595			_aCSC
650		7	_2AGROVOC _92846 _aChickpeas
650		7	_2AGROVOC _91155 _aInbred lines
650		7	_2AGROVOC _927180 _aClimatic zones
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _91080 _aDrought
700	1		_9917 _aImtiaz, M. _gGlobal Wheat Program _8INT3326
700	1		_92886 _aMalhotra, R.S.
773	0		_tTheoretical and Applied Genetics _gv. 126, no. 4, p. 1025-1038 _dBerlin (Germany) : Springer, 2013. _wG444762 _x0040-5752
856	4		_uhttps://hdl.handle.net/20.500.12665/363 _yAccess only for CIMMYT Staff
942			_cJA _2ddc _n0
999			_c29924 _d29924