DNA Sequencing
Citrus samples are sequenced to generate genome-wide variation data.
Research workflow
Citrus HLB genomic selection workflow: a structured path from DNA sequencing to breeding decisions and experimental validation.
Marker Discovery (SNP Identification)
Key SNPs associated with HLB tolerance are identified from sequencing data.
Genomic Prediction Model
Machine learning and statistical models use SNP data to predict resistance and breeding performance.
Trait Scoring & Accuracy Validation
Each plant is assigned a resistance score and model accuracy is evaluated.
Breeding Decision Dashboard
Top parent plants are selected based on predicted performance, optimizing crossing strategies.
Resistance / Yield Gain Projection
Expected improvement in yield and resistance is estimated.
Experimental Validation
Selected SNPs are validated through laboratory assays.
CRISPR / Targeted Editing (Optional)
Candidate genes may be edited to enhance HLB resistance.
Move your research forward
Complex biology. Clear next steps.
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