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　　棉花是重要經濟作物,在許多國家的國民經濟中發(fā)揮著重要作用。棉纖維是紡織業(yè)主要材料來源,也是決定棉花經濟價值的重要部分。全球人口基數的增大和人們生活水平的提高對纖維產量和品質提出了更高的要求。因此選育出高產、優(yōu)質的棉花新品種成為棉花育種學家當前至關重要的任務。但棉花的纖維品質是受多個等位基因控制的復雜數量性狀,極易受環(huán)境影響,并且纖維品質與產量之間存在一定的負相關關系。因此,利用傳統的育種方法培育高產優(yōu)質棉花進展緩慢。隨著生物學技術的進步,分子標記輔助選擇育種被逐漸應用于棉花的育種研究,這為改良棉花的纖維品質和產量提供了新的解決方案。遺傳圖譜構建和QTL有利等位基因鑒定是分子標記輔助選擇育種的兩個主要組成部分。隨著生物學技術和測序技術的進步,用于構建遺傳圖譜的分子標記逐漸從傳統的分子標記（如SSR標記）向SNP標記和In Del標記轉變。以SNP標記構建的遺傳圖譜,普遍具有高密度的特征,能夠有效應用于分子標記輔助選擇育種。而以簡化基因組測序技術（SLAF-seq）獲取SNP標記是目前應用最廣泛的方法。基于一張高密度遺傳連鎖圖譜,在多環(huán)境和多世代下鑒定棉花的纖維相關QTL,能夠為棉花的纖維... 

【文章來源】：西南大學重慶市 211工程院校 教育部直屬院校

【文章頁數】：75 頁

【學位級別】：博士

【文章目錄】：
摘要
Abstract
Chapter 1 Introduction
    1.1 Classification and diversity of cotton
        1.1.1 Classification of cotton
        1.1.2 Genetic diversity of cotton
    1.2 Structure and formation of cotton fiber
        1.2.1 Chemical composition of cotton fiber
        1.2.2 Physical characterization of cotton fiber
        1.2.3 Measurements of cotton fiber
        1.2.4 Maturity of cotton fiber
    1.3 Genetic factors controlling fiber traits
    1.4 Importance of molecular markers
        1.4.1 Advantages of molecular markers
        1.4.2 PCR based markers properties
    1.5 Genotyping
        1.5.1 Genotyping through traditional markers
        1.5.2 Genotyping through SLAF-seq
    1.6 Research development of MAS in cotton
Character 2 Materials and Methods
    2.1 Plant materials and construction of the RIL population
    2.2 Total DNA extraction
        2.2.1 Procedures of DNA extraction
    2.3 SSR markers genotyping
        2.3.1 Source of SSR markers
        2.3.2 Amplification system of SSR primers
        2.3.3 Polyacrylamide gel electrophoresis
    2.4 SLAF-SNP creation,and sequencing
    2.5 Genetic map construction
    2.6 Phenotype analysis
    2.7 QTL analysis
    2.8 QTL by environment interaction（QEI）analysis
    2.9 Technical route
Chapter 3 Results
    3.1 Phenotypic data analysis
    3.2 Obtation of SNP and SSR markers
    3.3 High-density genetic map construction
    3.4 Physical length of the genetic map
    3.5 QTL identification for fiber related traits
        3.5.1 QTLs for lint percentage
        3.5.2 QTLs for fiber length
        3.5.3 QTLs for fiber strength
        3.5.4 QTLs for fiber micronaire
        3.5.5 QTLs for fiber uniformity
        3.5.6 QTLs for fiber elongation
    3.6 QTL clusters
    3.7.QTL by environment interaction analysis
Character 4 Discussion
    4.1 Selection of molecular markers
    4.2 QTL identification
    4.3 The direction of favorable QTL alleles
Character 5 Conclusion
    5.1 Construction of the high-density genetic map
    5.2 Identification of QTLs for fiber related traits
    5.3 Identification of QTL clusters
Reference
Acknowledgement


【參考文獻】：
期刊論文
[1]QTL IciMapping:Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations[J]. Lei Meng,Huihui Li,Luyan Zhang,Jiankang Wang.  The Crop Journal. 2015(03)
[2]陸地棉衣分及相關性狀的遺傳和QTL分子標記[J]. 張培通,朱協飛,郭旺珍,張?zhí)煺?  江蘇農業(yè)學報. 2005(04)



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