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Causal Gene Identification through Functional Validation of QTL Candidate Loci

Agriculture Plant Pathology

Quantitative Trait Loci Disease Resistance Mapping

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Genome-Wide Association Studies for Pathogen Resistance Quantification High-Resolution QTL Fine-Mapping Using Advanced Molecular Markers Epistatic Interactions and Polygenic Network Models in Disease Resistance Phenotypic High-Throughput Screening for Quantitative Resistance Trait Evaluation Transcriptomic and Proteomic QTL Mapping for Disease Defense Mechanisms Multi-Environment QTL Stability and Genotype-by-Environment Interaction Analysis Comparative QTL Mapping across Species for Evolutionary Resistance Mechanisms Allele Mining and Haplotype Diversification in Natural Germplasm Collections Integrative Genomic Prediction Models for Breeding Value Estimation

Agriculture Plant Pathology › Quantitative Trait Loci Disease Resistance Mapping

Causal Gene Identification through Functional Validation of QTL Candidate Loci

This study employs CRISPR-Cas9 genome editing, TILLING, and complementation approaches to validate candidate genes within mapped QTL intervals and establish causality in disease resistance. The research transforms QTL mapping data into actionable genetic targets, advancing mechanistic understanding and enabling precision plant breeding applications.

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