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水稻不同遗传力的数量性状在中国和赞比亚4个环境下的遗传分析

摘要第6-8页
ABSTRACT第8-9页
CHAPTER 1 INTRODUCTION第19-38页
    1.1 Background第19-21页
    1.2 The genus Oryza sativa L第21页
    1.3 Economic and nutritional importance第21-22页
    1.4 Rice production and milling quality第22-23页
    1.5 Rice milling quality第23-24页
    1.6 Rice grain appearance第24页
    1.7 Factors that affect milling quality of rice第24-26页
    1.8 Past achievements in rice breeding第26-27页
    1.9 Molecular breeding progress第27-28页
    1.10 Genetic mapping第28-30页
        1.10.1 Linkage analysis第29页
        1.10.2 Quantitative trait loci mapping for rice milling quality第29-30页
        1.10.3 Quantitative trait loci mapping for rice grain shape第30页
    1.11 Application of biotechnology in rice quality improvement第30-34页
        1.11.1 Marker assisted breeding for rice quality improvement第31-32页
        1.11.2 Genetic engineering第32-34页
            1.11.2.1 Genetic transformation第32-33页
            1.11.2.2 Genome editing第33-34页
    1.12 Future trends of rice quality improvement第34页
    1.13 Past research limitations第34页
    1.14 Aim of the study第34-35页
    1.15 Scope and outline of the thesis第35-38页
CHAPTER 2 GENETIC VARIABILITY, HERITABILITY AND CORRELATION STUDIES OF MILLING QUALITY, GRAIN DIMENSION AND AGRONOMIC TRAITS IN INTROGRESSION LINES DERIVED FROM AN INTERSPECIFIC (INDICA X JAPONICA) CROSS OF RICE.第38-58页
    2.1 Introduction第38-39页
    2.2 Materials and methods第39-43页
        2.2.1 Materials第39-40页
        2.2.2 Methods第40页
        2.2.3 Trait measurements第40-42页
        2.2.4 Data analysis第42-43页
    2.3 Results第43-52页
        2.3.1 Phenotypic variability assessment第43-44页
        2.3.2 Phenotypic variance components第44页
        2.3.3 Trait mean performance of introgression lines and parents第44-47页
        2.3.4 Heritability第47-48页
        2.3.5 Pearson’s correlation analysis第48-49页
        2.3.6 Path analysis for head rice recovery第49-51页
        2.3.7 Path analysis for grain yield第51-52页
    2.4 Discussion第52-57页
        2.4.1 High genetic variability among genotypes第52-53页
        2.4.2 Genotype x Environment Interactions第53页
        2.4.3 Inferences from trait mean performance of introgression lines and parents第53-54页
        2.4.4 Inferences from variation of heritability among traits第54-55页
        2.4.5 Inferences from trait correlations第55-56页
        2.4.6 Effect of various traits on head rice recovery第56-57页
        2.4.7 Effect of various traits on grain yield第57页
    2.5 Conclusion第57-58页
CHAPTER 3 MAPPING QUANTITATIVE TRAIT LOCI FOR MILLING QUALITY AND GRAIN DIMENSION TRAITS OF A SET OF INTROGRESSION LINES DERIVED FROM AN INTERSPECIFIC CROSS (indica x japonica) OF RICE第58-72页
    3.1 Introduction第58-59页
    3.2 Materials and methods第59-60页
        3.2.1 Materials第59页
        3.2.2 Methods第59页
        3.2.3 Genotyping第59-60页
        3.2.4 QTL analysis第60页
    3.3 Results第60-66页
        3.3.1 QTL detection for milling quality traits第60-61页
        3.3.2 QTL detection for grain dimension traits第61-62页
        3.3.3 Stably expressed QTL for quality related traits第62页
        3.3.4 QTL clusters for quality related traits第62-66页
    3.4 Discussion第66-71页
        3.4.1 Contributions of QTL main effects of milling quality traits第66-67页
        3.4.2 Contributions of QTL main effects of grain dimension traits第67-69页
        3.4.3 Stably expressed QTL for quality related traits第69页
        3.4.4 Genetic interactions among quality traits第69-71页
    3.5 Conclusion第71-72页
CHAPTER 4 GENETIC BACKGROUND EFFECTS ON QUANTITATIVE TRAIT LOCI MAPPING OF AGRONOMIC TRAITS USING MULTIPLE POPULATIONS IN FOUR ENVIRONMENTS第72-97页
    4.1 Introduction第72-73页
    4.2 Materials and methods第73-74页
        4.2.1 Materials第73页
        4.2.2 Experimental sites第73页
        4.2.3 Methods第73-74页
        4.2.4 Data analysis第74页
        4.2.5 QTL analysis第74页
    4.3 Results第74-88页
        4.3.1 Trait variability assessment第74-75页
        4.3.2 Trait mean performance and heritability第75-78页
        4.3.3 Pearson’s correlation and path analysis第78-80页
        4.3.4 QTL mapping of agronomic traits across populations第80-85页
        4.3.5 QTL clusters第85-88页
    4.4 Discussion第88-95页
        4.4.1 High genetic variability among genotypes across populations第88-89页
        4.4.2 Heritability inferences from various populations第89页
        4.4.3 Inferences from trait correlations第89-90页
        4.4.4 Contributions of QTL main effect of agronomic traits第90-93页
        4.4.5 Genetic interactions between DTH and milling quality traits第93-94页
        4.4.6 Genetic interactions between milling quality and other traits第94页
        4.4.7 Genetic association between traitsprobably caused by QTL clusters第94-95页
        4.4.8 Overall novel QTL of the study第95页
    4.5 Conclusion第95-97页
CHAPTER 5第97-99页
    5.1 SUMMARY AND CONCLUSIONS第97-99页
REFERENCES第99-116页
APPENDICES第116-120页
ACKNOWLEDGEMENT第120-121页
RESUME第121页

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