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- W2361301171 abstract "Endosperm traits are the kind of important traits determining the grain quality in cereals. The endosperm, which is derived from two polar nuclei fusing with one sperm, is a triploid tissue whose genetic constitution is more complex than common diploid tissue. However, current statistical methods for mapping quantitative trait loci (QTL) under diploid genetic control have not been effective for dealing with endosperm traits. Based on the quantitative genetic models for triploid endosperm traits, a new maximum likelihood method implemented via EM algorithm to map QTL underlying endosperm traits was proposed in this paper. The method was established using the DNA molecular marker genotypes of each plant in segregation populations and the single endosperm observation of a few endosperms of each plant. Because of using the mixture distribution property of QTL genotypes within flanking marker genotypes, the method could not only precisely map QTL of endosperm traits, but also estimate two dominance effects of endosperm traits. Efficiency and feasibility of the methods have been verified through Monte Carlo simulation studies. The means and standard deviations of the estimated QTL effects and locations as well as the empirical powers under different QTL heritabilities and sampling strategies were listed in Table 2. These simulation results show that the proposed method provide accurate estimates of both the QTL effects and locations with high statistical efficiency. The next step of endosperm mapping is to consider both the maternal diploid genotype and the triploid endosperm genotypes jointly." @default.
- W2361301171 created "2016-06-24" @default.
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- W2361301171 date "2005-01-01" @default.
- W2361301171 modified "2023-09-23" @default.
- W2361301171 title "Single Grain Observation-Based Mapping of Quantitative Traits Loci Underlying Endosperm Traits" @default.
- W2361301171 hasPublicationYear "2005" @default.
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