Step 1: Introgression of distinct traits in elite lines

Distinct traits are identified in a “trait-hunting” process which we conduct based on feedback from food companies, farmers and processors we work with.
We revive traits that were lost in years of breeding, but still exist in exotic germplasm. These traits have economic, nutritional or functional value, and are necessary for the development of new food applications in a cost effective manner.
Based on industry needs and the availability of traits in nature, we design a Target Product.

Step 2: Discovering the genomic regions affecting traits

Phenotyping & genotyping thousands of single plants to discover the building blocks of the Target Product. Our technology can deal with multiple quantitative traits. Some traits are expressed in multiple genomic regions.

Step 3: Defining the Target Product Genomic Code (TPGC)

Taking the thousands of potential genomic regions which we discovered earlier, we use our proprietary algorithms to identify the most significant regions, and incorporate them in the Genomic Code of our Target Product.
We register a patent for the traits and genomic regions we’ve discovered, and this Gene Cassette is our proprietary IP.

Step 4:Optimizing selection performance by validating millions of genomic combinations in silico

Simulating millions of selfing and crossing combinations in silico, we identify the combination of plants that will achieve a product as close as possible to our TPGC.

Step 5: Classic crossing and selfing of in silico selection

The designed plants are created and validated in the field in different environments and seasons. After field validation, production is scaled up and product is ready for commercial use.

THE RESULT

Equinom’s computational breeding is 10X more accurate, 2X faster than any other breeding method.