The global agricultural sector faces immense pressure to increase food production while minimizing environmental impact and combating climate change-induced crop diseases. This technology addresses the urgent need for resilient food systems by enabling proactive disease management. Stricter phytosanitary regulations and the economic imperative to reduce crop losses drive demand for rapid, accurate diagnostic tools, making this solution critical for maintaining competitive advantage and ensuring global food supply chain stability.
Enhances Efficiency with Simultaneous 4-Virus Detection: Detects four major potato disease viruses (PLRV, PVS, PVX, PVY) simultaneously using multiplex PCR, potentially improving testing efficiency by 1.5 times compared to conventional individual tests.
Achieves High-Precision and Rapid Diagnosis: Leverages high detection sensitivity and specificity of PCR, combined with intercalating dyes, for rapid result determination, supporting early detection and countermeasures in the field.
Demonstrates Superior Uniqueness Beyond Prior Art: Shows high uniqueness with only one prior art document cited by the examiner, indicating a distinct technological advantage in the market.
This patent protects a method for identifying potato disease viruses using specific primer sets and multiplex PCR, covering the core technology and its practical applications. The claims are robust, having withstood multiple examiner rejections, indicating a strong and difficult-to-invalidate intellectual property asset.
While focused on potato viruses, this patent does not cover detection methods for other plant pathogens like fungi or bacteria, nor does it extend to non-PCR based diagnostic platforms. Licensees could develop complementary IP in these adjacent areas or in automated, in-field detection systems.
Potato crop yield losses due to disease average 10-30%. Implementing this technology enables early, accurate diagnosis, conservatively improving yield loss by 5%. For an agricultural corporation with ~$3.5M (AI est.) in annual revenue, if an average 15% yield loss improves to 10%, the economic benefit could be ~$150K/year (AI est.). This directly translates to cost reduction and increased profitability in disease management.
X: Detection Efficiency & Speed
Y: Multi-Item Capability & Applicability