The global agricultural sector faces immense pressure to increase yields sustainably while minimizing environmental impact. Rising consumer demand for safe, high-quality produce and stricter import/export regulations necessitate advanced diagnostic tools. This technology aligns with the growing trend towards precision agriculture, offering a critical solution for proactive disease management, reducing reliance on broad-spectrum pesticides, and enhancing supply chain resilience against devastating crop pathogens.
Enables precise identification of two bacterial species, Pca and Psm, allowing for optimal disease control strategy development.
Achieves highly sensitive early diagnosis, detecting trace amounts of pathogen DNA via Nested PCR, which could effectively suppress disease spread in its initial stages.
Establishes a robust IP foundation and market advantage, having overcome examiner objections against four prior art documents, demonstrating high originality and a stable patent scope.
This patent protects a primer set for detecting specific Brassica black spot bacterial pathogens and the associated inspection method, covering key primer sequences and their application. The robust claims, numbering 10, were granted after successfully overcoming examiner objections, indicating a strong, well-defined, and difficult-to-invalidate scope of protection.
This patent focuses on specific bacterial pathogens in Brassica. White space exists in developing similar high-specificity primer sets for viral or fungal pathogens in Brassica or other crops, or integrating this detection method into broader automated field pathogen surveillance systems.
Assuming an average 5% crop loss from Brassica black spot bacterial disease, this technology could enable a 2% loss avoidance through early and precise diagnosis. With an estimated annual domestic Brassica vegetable production value of ~$1.35B (AI est.), the potential economic impact is calculated as ~$1.35B
× 2% × 0.5 (target crop ratio) = ~$13.5M/year (AI est.). This could contribute to stabilizing farmer profitability.
X: Detection Specificity & Identification Accuracy
Y: Diagnostic Speed & Sensitivity