Author Description

Intro -- QTL Mapping in Crop Improvement: Present Progress and Future Perspectives -- Copyright -- Contents -- Contributors -- Chapter 1: Recent advances in molecular marker technology for QTL mapping in plants -- 1. Introduction -- 2. Advances in marker developments -- 2.1. Sequence-based markers -- 2.2. Next-generation molecular marker technologies -- 3. Trait associations and QTL mapping -- 3.1. Mapping populations -- 3.2. Statistical tools used in QTL mapping -- 3.3. Bulk segregant analysis: Rapid approach for quantitative trait mapping -- 3.4. Advanced approaches for QTL mapping -- 3.5. QTL mapping using high-throughput marker genotyping -- 4. Conclusion -- References -- Chapter 2: A statistical perspective of gene set analysis with trait-specific QTL in molecular crop breeding -- 1. Background -- 2. Structure of gene set analysis -- 2.1. Units of gene set analysis -- 2.2. Hypotheses in gene set analysis -- 2.3. Sampling models in gene set analysis -- 2.3.1. Subject sampling model -- 2.3.2. Gene sampling model -- 3. GSA approaches for high-throughput GE studies -- 4. Statistical approach for gene set analysis with QTLs -- 4.1. Illustration of performance of the GSAQ approach -- 4.2. Distribution of NQhits statistic -- 4.3. Gene sets analysis with QTLs -- 4.4. Performance analysis of gene set selection methods based on GSAQ -- 5. Statistical perspectives of GSAQ -- 6. Limitations and future challenges of GSA -- 6.1. Biological annotation challenges -- 6.2. Methodological challenges -- Acknowledgment -- References -- Chapter 3: Crop improvement againstColletotrichum truncatum using molecular breeding approaches -- 1. Introduction -- 2. Genus Colletotrichum -- 3. The biotrophy-necrotrophy switch -- 4. Colletotrichum truncatum -- 4.1. Infection mode -- 4.2. Genome -- 4.3. Host specificity -- 4.4. Molecular basis for host-pathogen interaction.