ArticleJournal of integrative plant biology2015
Quantitative trait locus mapping with background control in genetic populations of clonal F1 and double cross.
Article in Journal of integrative plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Combined QTL mapping on bi-parental immortalized heterozygous populations to detect the genetic architecture on heterosis.Frontiers in plant science · 2023Article
- Blib is a multi-module simulation platform for genetics studies and intelligent breeding.Communications biology · 2022Article
- GAHP: An integrated software package on genetic analysis with bi-parental immortalized heterozygous populations.Frontiers in genetics · 2022Article
- Review
- Genetic Mapping with Background Control for Quantitative Trait Locus (QTL) in 8-Parental Pure-Line Populations.The Journal of heredity · 2019Article
- Background controlled QTL mapping in pure-line genetic populations derived from four-way crosses.Heredity · 2017Article
- The Genetic Basis of Natural Variation in Kernel Size and Related Traits Using a Four-Way Cross Population in Maize.PloS one · 2016Article
- Quantitative trait locus mapping with background control in genetic populations of clonal F1 and double cross.Journal of integrative plant biology · 2015Article
- Linkage analysis and map construction in genetic populations of clonal F1 and double cross.G3 (Bethesda, Md.) · 2015Article
- Genomic Dissection of Leaf Angle in Maize (Zea mays L.) Using a Four-Way Cross Mapping Population.PloS one · 2015Article
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Authors and funding
5 authors.
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Abstract
In 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 quantitative trait locus (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.
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