000 02650nab a22003737a 4500
001 G94507
003 MX-TxCIM
005 20220704160506.0
008 220704s2010 cc |||p|op||| 00| 0chi d
022 _a0496-3490
024 8 _ahttps://doi.org/10.3724/SP.J.1006.2010.00918
040 _aMX-TxCIM
041 _achi
090 _aCIS-6096
100 1 _9764
_aHuihui Li
_gGenetic Resources Program
_8CLIH01
245 1 0 _aAnalysis and answers to frequently asked questions in quantitative trait locus mapping
260 _aBeijing (China) :
_bScience Press,
_c2010.
500 _aPeer-review: No - Open Access: Yes|http://211.155.251.148:8080/zwxb/EN/column/column81.shtml
500 _aPeer review
500 _aOpen Access
500 _aAbstract in Chinese and English.
520 _aQTL mapping is an important step in gene fine mapping, map-based cloning, and the efficient use of gene information in molecular breeding. Questions are frequently met and asked in the application of QTL mapping in practical genetic populations. Questions related to statistical method of QTL mapping are: what does LOD score mean? What is the relationship between the reliability of detected QTL and the LOD threshold? How to evaluate different QTL mapping methods? How to improve the QTL detection power? Questions related to genetic parameter estimation are: how to calculate the phenotypic variance explained by each detected QTL? How to determine the source of favorable alleles at detected QTL? How efficient is the selective genotyping? Can composite traits be used in QTL mapping? Questions related to linkage map and mapping populations are: does the phenotype of a trait in interest have to follow a normal distribution? Does the increase in marker density greatly improve QTL mapping power? What effects will missing markers have in QTL mapping? What effects will segregation distortion have in QTL mapping? Our objective in this paper was to give an analysis and answer to each of the 12 frequently asked questions, based on our studies in past several years.
536 _aGenetic Resources Program
546 _aText in Chinese
594 _aINT2542
650 7 _aQuantitative Trait Loci
_2AGROVOC
_91853
650 7 _aChromosome mapping
_2AGROVOC
_92084
650 7 _aStatistical methods
_2AGROVOC
_92624
700 1 _aLuyan Zhang
_91387
700 1 _9842
_aJiankang Wang
_gGenetic Resources Program
_8INT2542
773 0 _tActa Agronomica Sinica
_gv. 36, no. 6, p. 918-931
_dBeijing (China) : Science Press, 2010.
_wG446116
_x0496-3490
856 4 _yOpen Access through DSpace
_uhttp://hdl.handle.net/10883/1827
942 _cJA
_2ddc
_n0
999 _c28261
_d28261