Browsing by Author "Li, Hua"

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    Lifetime Management Study of RPV for Qinshan NPP Phase I
    (IASMiRT, 2001-08-12T00:00:00+00:00) Qu, Jiadi; He, Yinbiao; Li, Hua; Chen, Fuquan
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    Major gene detection for fusiform rust resistance using Bayesian complex segregation analysis in loblolly pine
    (North Carolina State University. Dept. of Statistics, 2004) Li, Hua; Ghosh, Sujit K.; Amerson, Henry; Li, Bailian
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    Major Gene Detection for Fusiform Rust Resistance Using Segregation Analysis and Linkage Analysis in Loblolly Pine
    (2003-09-10) Li, Hua; Dr. Henry Amerson, Committee Co-Chair; Dr. Sharon Browning, Committee Member; Dr. Sujit Ghosh, Committee Member; Dr. Bailian Li, Committee Chair
    Fusiform rust, a disease caused by Cronartium quercuum f.sp. fusiforme , is the most economically important disease for loblolly pine (Pinus taeda L.) in the southern U.S. Identification and breeding of loblolly pines that are genetically resistant to fusiform rust are important for successful establishment of commercial plantations. This research developed a new analytical approach to detect major genes for rust resistance using complex segregation analysis in a diallel progeny population. Molecular markers were examined for association with the potential rust resistance genes. Loblolly pines from a six-parent half-diallel mating were planted in a randomized complete block field design at four test sites. Rust infection (gall presence / absence) was recorded annually through age 8. Time trends and genetic differences for rust infection were analyzed based on a polygenic model using a Bayesian logistic approach. For genetic control of rust infection among families, the parental general combining ability (GCA) due to additive effect was much more important than specific combining ability (SCA) due to none-additive effect in full-sib combinations. Large genetic differences among parents and full-sib families were found for rust infection. Among six parents, parent A showed consistent low infection rates over time and across four sites, which indicated high genetic resistance to fusiform rust due to strong polygenic effects and / or major gene effects. A Bayesian analysis of a threshold model was developed and used to make inference about a mixed inheritance model (MIM) that included both polygenic effects and major gene effects. The MIM was compared with a pure polygenic model. Marginalizations were achieved by means of Gibbs sampler. A parent block sampling has been implemented to improve mixing. Results showed that the MIM was a better model to explain the inheritance of rust-resistance than the pure polygenic model in the diallel population. A large major gene variance component (around 40-50%) indicated the existence of major genes for rust resistance. The major genes would be most likely associated with parent A because it was estimated to have the highest probability carrying two resistance alleles and predicted to have the highest GCA effect for rust resistance among the six parents. Bulk segregate analyses and marker / trait co-segregation analyses were used to search for major resistance genes. When the progeny of parent A x F showed an intermediate rust infection level with single spore inoculum, additional RAPD markers were found to be linked with the Fr2 locus in parent A. An improved map (framework linkage map ) of the Fr2 linkage group was developed. An effort to define another resistance locus in parent A, using progeny of cross A by F inoculated with an intermediate spore density, with mixed gall inoculum was not successful. This may be due to the complexity of suspected multiple gene interaction effects in parent A and unknown pathogen virulence composition. Two mixed inocula with extremely high spore density were used to inoculate the diallel progeny population of 12 crosses. Progeny from the cross of parent E by A showed 75% rust infection. The interaction of two pairs of complementary genes was proposed to explain the observed 75% infection based on a gene-for-gene hypothesis. This two-gene model was not confirmed with molecular markers used in this study. Nevertheless, results of this study provided strong statistical and more molecular evidence to support that the parent A is carrying multiple rust.