The global agricultural sector faces immense pressure to enhance productivity and sustainability while adapting to changing climates. Consumer demand for consistent quality and specific food characteristics is also rising. This technology supports these trends by enabling precision breeding, reducing resource waste in crop development, and ensuring reliable quality control for rice, a staple for billions. It aligns with global efforts to optimize food production and supply chains.
Accelerates new variety development by shortening breeding cycles by up to 80%, enabling early hardness assessment from seedling DNA.
Reduces assessment costs by two-thirds by eliminating field cultivation and sensory evaluation, optimizing resource use and enhancing economic efficiency.
Ensures consistent quality and objective decision-making through gene-level assessment, unaffected by environmental factors.
This patent protects a method for determining rice hardness based on specific genomic DNA markers (SNPs). It covers a broad technical scope with 10 claims and was granted after successfully overcoming two office actions, indicating a robust and stable intellectual property right.
This patent specifically covers rice hardness detection. Licensees could develop new IP by identifying and patenting novel SNP markers for other desirable rice traits, or by adapting this methodology for quality assessment in different cereal grains or legumes.
Traditional rice breeding requires ~3 specialists for cultivation trials and sensory evaluation, incurring ~$160K/year (AI est.) in personnel costs. This technology could automate/simplify ~70% of these tasks, saving ~$112K/year (AI est.). Additionally, it could reduce field maintenance and material costs of ~$200K/year (AI est.) by 50%, saving ~$100K/year (AI est.). Including reduced opportunity costs from accelerated development, the total economic impact could reach ~$350K/year (AI est.).
X: Assessment Efficiency & Cost Performance
Y: Assessment Accuracy & Early Selection