Evaluation and QTL-allele Detection Conferring Seed-flooding
发布时间:2022-04-25 18:21
Soybean[Glycine max(L.)Merr.]is an important legume crop worldwide for providing food for human and feed for livestock.It is grown on 110 million hectares worldwide.Soybean consumption is increasing day by day because of its edible seed protein and oil content.However soybean is facing flooding as one of the major constraints.The waterlogging stress during the vegetative stage of growth causes a reduction in the grain yield by approximately 17-40%and 40-57%during the reproductive stage.The flood...
【文章页数】:142 页
【学位级别】:博士
【文章目录】:
SUMMARY
List of abbreviation
CHAPTER 1 LITERATURE REVIEW
1.1 Soybean production and its constraints
1.1.1 Soybean introduction
1.1.2 Soybean production
1.1.3 Abiotic constraints to production
1.2 Traditional and modern plant breeding methods for crop improvement
1.2.1 Plant breeding based on the selection of observed variants
1.2.2 Plant breeding based on controlled mating
1.2.3 Marker assisted breeding
1.3 Background and objectives of the present study
CHAPTER 2 MATERIALS AND METHODS
2.1 Procedure development for seed-flooding tolerance evaluation
2.1.1 Plant materials
2.1.2 The method for evaluation
2.1.2.1 Evaluation of suitable seed-flooding duration
2.1.2.2 Method to choose best media
2.1.2.3 Methodology for choosing most effective indicators
2.2 Molecular Mapping of QTL conferring seed-flooding tolerance
2.2.1 Materials used in mapping the QTLs conferring seed-flooding tolerance
2.2.2 Evaluation of phenotypic variation in seed flooding tolerance
2.2.3 SNP calling and SNPLDB assembly
2.2.4 Construction of the Joint linkage map and Joint Inclusive Composite Interval Mapping
2.2.5 Mixed linear model-based genome wide association mapping
2.2.6 Restricted two stage multi-locus-Genome wide association studies
2.2.7 Candidate gene Prediction
2.3 Statistical analysis
CHAPTER 3 ESTABLISHMENTOF EFFICIENT TESTINGPROCEDURES AND INDICATORSFOR SEED-FLOODING TOLERANCE IN SOYBEAN
3.1 The suitable seed-flooding duration for tolerance evaluation
3.2 The best method for seed-flooding tolerance evaluation
3.3 The effective indicators for evaluation of seed-flooding tolerance
3.4 Comparisons among the tested soybean accessions for their seed-flooding tolerance
3.5 Summary of the Results
CHAPTER 4 QTL mapping and establishment of QTL-allele matrices for seed-flooding tolerance insoybean half-sib RILs
4.1 Phenotypic variation of the relative seedling length and relative root length in LZM half-sib RILspopulation
4.2 Population structure analysis
4.3 Analysis of molecular variance for whole genome, RSL and RRL indicators
4.4 QTL detection of RSL and RRL in LZM using JICIM
4.5 QTL detection of RSL and RRL in LZM using MLM-GWAS procedure
4.6 QTL mapping of RSL using RTM-GWAS
4.6.1 Components of RSL QTL system in LZM
4.6.2 QTLs detected in LZM for RSL
4.7 QTL mapping of RRL using RTM-GWAS
4.7.1 Components of RRL QTL system in LZM
4.7.2 QTLs detected in LZM for RRL
4.8 Comparisons among the results from JICIM, MLM-GWAS and RTM-GWAS
4.9 Establishment of QTL-allele matrices of the three parents and their derived LZM population
4.9.1 QTL-allele matrices of RSL
4.9.2 QTL-allele matrices of RRL
4.10 Summary of the Results
CHAPTER 5 PREDICTION OF POTENTIAL RECOMBINATIONS AMONG THREE PARENTSAND CANDIDATE GENES FOR SEED-FLOODING TOLERANCE
5.1 Prediction of potential recombination from the parents and LZM QTL-allele structure
5.1.1 Prediction of potential recombination of RSL from the parents and LZM QTL-allele structure
5.1.2 Prediction of potential recombination for RRL from the parents and LZM QTL-allelestructure
5.2 From QTL to gene system
5.2.1 Gene system inferred from QTL system for RSL
5.2.2 From QTL to candidate gene prediction of RRL indicator
5.3 Summary of the Results- the candidate gene system conferring seed-flooding tolerance
CHAPTER 6 DISCUSSION
6.1 Testing procedures for seed flooding tolerance
6.2 Overlapped QTLs between two indicators and those in the literature
6.3 QTL mapping and establishment of QTL-allele matrices for seed-flooding tolerance in soybeans
6.4 Utilization of QTL-allele matrix in the improvement of seed-flooding
6.5 Prediction of candidate genes for RSL and RRL
CHAPTER 7 MAJOR INNOVATION POINTS
7.1 New methodology and indicator to screen seed-flooding tolerance resources
7.2 RTM-GWAS is best method and identification of novel regions for seed-flooding tolerance
7.3 QTL-allele and candidate gene system exploration of seed-flooding tolerance
REFERENCES
附录
ACKNOWLEDGEMENT
BIOGRAPHICAL DATA
DEDICATION
【参考文献】:
期刊论文
[1]气候变化对大豆影响的研究进展[J]. 郝兴宇,韩雪,居煇,林而达. 应用生态学报. 2010(10)
本文编号:3648104
【文章页数】:142 页
【学位级别】:博士
【文章目录】:
SUMMARY
List of abbreviation
CHAPTER 1 LITERATURE REVIEW
1.1 Soybean production and its constraints
1.1.1 Soybean introduction
1.1.2 Soybean production
1.1.3 Abiotic constraints to production
1.2 Traditional and modern plant breeding methods for crop improvement
1.2.1 Plant breeding based on the selection of observed variants
1.2.2 Plant breeding based on controlled mating
1.2.3 Marker assisted breeding
1.3 Background and objectives of the present study
CHAPTER 2 MATERIALS AND METHODS
2.1 Procedure development for seed-flooding tolerance evaluation
2.1.1 Plant materials
2.1.2 The method for evaluation
2.1.2.1 Evaluation of suitable seed-flooding duration
2.1.2.2 Method to choose best media
2.1.2.3 Methodology for choosing most effective indicators
2.2 Molecular Mapping of QTL conferring seed-flooding tolerance
2.2.1 Materials used in mapping the QTLs conferring seed-flooding tolerance
2.2.2 Evaluation of phenotypic variation in seed flooding tolerance
2.2.3 SNP calling and SNPLDB assembly
2.2.4 Construction of the Joint linkage map and Joint Inclusive Composite Interval Mapping
2.2.5 Mixed linear model-based genome wide association mapping
2.2.6 Restricted two stage multi-locus-Genome wide association studies
2.2.7 Candidate gene Prediction
2.3 Statistical analysis
CHAPTER 3 ESTABLISHMENTOF EFFICIENT TESTINGPROCEDURES AND INDICATORSFOR SEED-FLOODING TOLERANCE IN SOYBEAN
3.1 The suitable seed-flooding duration for tolerance evaluation
3.2 The best method for seed-flooding tolerance evaluation
3.3 The effective indicators for evaluation of seed-flooding tolerance
3.4 Comparisons among the tested soybean accessions for their seed-flooding tolerance
3.5 Summary of the Results
CHAPTER 4 QTL mapping and establishment of QTL-allele matrices for seed-flooding tolerance insoybean half-sib RILs
4.1 Phenotypic variation of the relative seedling length and relative root length in LZM half-sib RILspopulation
4.2 Population structure analysis
4.3 Analysis of molecular variance for whole genome, RSL and RRL indicators
4.4 QTL detection of RSL and RRL in LZM using JICIM
4.5 QTL detection of RSL and RRL in LZM using MLM-GWAS procedure
4.6 QTL mapping of RSL using RTM-GWAS
4.6.1 Components of RSL QTL system in LZM
4.6.2 QTLs detected in LZM for RSL
4.7 QTL mapping of RRL using RTM-GWAS
4.7.1 Components of RRL QTL system in LZM
4.7.2 QTLs detected in LZM for RRL
4.8 Comparisons among the results from JICIM, MLM-GWAS and RTM-GWAS
4.9 Establishment of QTL-allele matrices of the three parents and their derived LZM population
4.9.1 QTL-allele matrices of RSL
4.9.2 QTL-allele matrices of RRL
4.10 Summary of the Results
CHAPTER 5 PREDICTION OF POTENTIAL RECOMBINATIONS AMONG THREE PARENTSAND CANDIDATE GENES FOR SEED-FLOODING TOLERANCE
5.1 Prediction of potential recombination from the parents and LZM QTL-allele structure
5.1.1 Prediction of potential recombination of RSL from the parents and LZM QTL-allele structure
5.1.2 Prediction of potential recombination for RRL from the parents and LZM QTL-allelestructure
5.2 From QTL to gene system
5.2.1 Gene system inferred from QTL system for RSL
5.2.2 From QTL to candidate gene prediction of RRL indicator
5.3 Summary of the Results- the candidate gene system conferring seed-flooding tolerance
CHAPTER 6 DISCUSSION
6.1 Testing procedures for seed flooding tolerance
6.2 Overlapped QTLs between two indicators and those in the literature
6.3 QTL mapping and establishment of QTL-allele matrices for seed-flooding tolerance in soybeans
6.4 Utilization of QTL-allele matrix in the improvement of seed-flooding
6.5 Prediction of candidate genes for RSL and RRL
CHAPTER 7 MAJOR INNOVATION POINTS
7.1 New methodology and indicator to screen seed-flooding tolerance resources
7.2 RTM-GWAS is best method and identification of novel regions for seed-flooding tolerance
7.3 QTL-allele and candidate gene system exploration of seed-flooding tolerance
REFERENCES
附录
ACKNOWLEDGEMENT
BIOGRAPHICAL DATA
DEDICATION
【参考文献】:
期刊论文
[1]气候变化对大豆影响的研究进展[J]. 郝兴宇,韩雪,居煇,林而达. 应用生态学报. 2010(10)
本文编号:3648104
本文链接:https://www.wllwen.com/nykjlw/nzwlw/3648104.html
最近更新
教材专著