000			03045nab a22004217a 4500
001			G93482
003			MX-TxCIM
005			20220622225131.0
008			210804s2009 cc |||p|op||| 00| 0 chi d
022	0		_a0496-3490
022	0		_a1875-2780 (Online)
024	8		_ahttps://doi.org/10.3724/SP.J.1006.2009.00239
040			_aMX-TxCIM
041			_achi
090			_aCIS-5624
100	1		_9842 _aJiankang Wang _gGenetic Resources Program _8INT2542
245	1	0	_aInclusive composite interval mapping of quantitative trait genes
260			_aBeijing (China) : _bScience Press, _c2009.
500			_aPeer review
500			_aOpen Access
500			_aPeer-review: No - Open Access: Yes|http://211.155.251.148:8080/zwxb/EN/column/column81.shtml
520			_aRapid increase in the availability of fine-scale genetic marker maps has led to the intensive use of QTL mapping in the genetic study of quantitative traits. Composite interval mapping (CIM) is one of the most commonly used methods for QTL mapping with populations derived from biparental crosses. However, the algorithm used in CIM cannot completely ensure that the effect of QTL at current testing interval is not absorbed by the background marker variables, and may result in biased estimation of QTL effect. We proposed a statistical method for QTL mapping, which was called inclusive composite interval mapping (ICIM). Two steps were included in ICIM. In the first step, stepwise regression was applied to identify the most significant regression variables. In the second step, a one-dimensional scanning or interval mapping was conducted for detecting additive (and dominance) QTL and a two-dimensional scanning was conducted for detecting digenic epistasis. ICIM provides intuitive statistics for testing additive, dominance and epistasis, and can be used for most experimental populations derived from two inbred parental lines. The EM algorithm used in ICIM has a fast convergence speed and is therefore less computing intensive. ICIM retains all advantages of CIM over interval mapping, and avoids the possible increase of sampling variance and the complicated background marker selection process in CIM. A doubled haploid (DH) population in barley was used to demonstrate the application of ICIM in mapping additive QTL and additive by additive interacting QTL.
536			_aGenetic Resources Program
546			_aText in English
594			_aINT2542
650		7	_2AGROVOC _91853 _aQuantitative Trait Loci
650		7	_2AGROVOC _92084 _aChromosome mapping
650		7	_2AGROVOC _99059 _aAdditive Effect
650		7	_2AGROVOC _99058 _aGene Interaction
653	0		_aAdditive amd dominance effects
653	0		_aEpistatic interaction
653	0		_aInclusive composite interval mapping
653	0		_aQTL mapping
653	0		_aQuantitative trait
773	0		_tActa Agronomica Sinica _gv. 35, no. 2, p. 239-245 _dBeijing (China) : Science Press, 2009. _wG446116 _x0496-3490
856	4		_yOpen Access through DSpace
942			_cJA _2ddc _n0
999			_c27881 _d27881