Plant breeding has been central to human development for the last 10,000 years. In the 20th century alone, we have doubled the yield of maize (corn) from a given plot of land. Genomics-based breeding allows breeders to focus on the genes that make some varieties perform better than others in yield, disease resistance, climate adaptation, and more.
A clear historical correlation exists between the first publication of a genome for a particular crop and the ability to direct its breeding: when the rice genome was published in 2000, rice research surged.
But the wide genomic diversity among plants and the ensuing large amount of genomics data required makes this problem complicated. Until recently, many other important crops with huge genomes – some larger than human genomes – have long defied attempts to sequence and assemble them.
NRGene has changed all this, providing a quick, accurate, cost-effective tool to reveal the genomic sequence not only of the first genome of each crop, but also of multiple varieties, capturing the diversity among different lines. Our cloud-based and Dynamic Genotyping solutions were tested and adopted by the largest plant breeding companies in the world.
With the publication of the first wheat genome in 2016, NRGene has proven that no plant is too complex. We now routinely sequence multiple varieties and compare their genomes to identify how these influence their performance. NRGene routinely generates complex pan-genome data based on dozens of varieties, taking plant breeding to the next level.
NRGene is a Genomics company that provides turn-key solutions. Relying on a vast proprietary database and AI-based technologies, we provide the largest seed and food companies in the world with the computational tools they need to maximize their crop yield, significantly saving them time and cost. NRGene’s tools have already been implemented by some of the leading agribiotech companies worldwide, as well as the most influential research teams in academia.