000 02531nab a22003617a 4500
999 _c56921
_d56913
001 56921
003 MX-TxCIM
005 20200310161641.0
008 150721s2015 xxu|||p|op||| 00| 0 eng d
022 _a1744-7909 (Online)
024 8 _ahttps://doi.org/10.1111/jipb.12361
040 _aMX-TxCIM
041 _aeng
100 1 _91387
_aLuyan Zhang
245 1 0 _aQuantitative trait locus mapping with background control in genetic populations of clonal F1 and double cross
260 _aOxford :
_bWiley-Blackwell,
_c2015.
500 _aPeer review
500 _aOpen Access
520 _aIn this study, we considered five categories of molecular markers in clonal F1 and double cross populations, based on the number of distinguishable alleles and the number of distinguishable genotypes at the marker locus. Using the completed linkage maps, incomplete and missing markers were imputed as fully informative markers in order to simplify the linkage mapping approaches of quantitative trait genes. Under the condition of fully informative markers, we demonstrated that dominance effect between the female and male parents in clonal F1 and double cross populations can cause the interactions between markers. We then developed an inclusive linear model that includes marker variables and marker interactions so as to completely control additive effects of the female and male parents, as well as the dominance effect between the female and male parents. The linear model was finally used for background control in Inclusive Composite Interval Mapping (ICIM) of QTL. The efficiency of ICIM was demonstrated by extensive simulations and by comparisons with simple interval mapping, multiple-QTL models and composite interval mapping. Finally, ICIM was applied in one actual double cross population to identify QTL on days to silking in maize.
536 _aGenetic Resources Program
546 _aText in English
591 _bCIMMYT Informa No. 1944
594 _aCLIH01
594 _aINT2542
650 7 _91925
_aHaploidy
_2AGROVOC
650 7 _91853
_aQuantitative Trait Loci
_2AGROVOC
650 7 _92084
_aChromosome mapping
_2AGROVOC
700 1 _9764
_aHuihui Li
_8CLIH01
_gGenetic Resources Program
700 2 _91411
_aJunqiang Ding
700 2 _91412
_aJianyu Wu
700 1 _9842
_aJiankang Wang
_gGenetic Resources Program
_8INT2542
773 0 _wu56920
_x1744-7909 (Online)
_dOxford : Wiley-Blackwell, 2015.
_tJournal of Integrative Plant Biology
_gv. 57, no. 12, p. 1046–1062
856 4 _yOpen Access through DSpace
_uhttp://hdl.handle.net/10883/4538
942 _2ddc
_cJA
_n0