Target Product Genomic Code - TPGC
Equinom has developed a breeding technology which integrates massive sequencing data with a breeder’s knowhow and skill, to create varieties that maximize both the nutritional properties and market value of a specific grain.
We start by specifying a combination of desired attributes, all previously observed in nature. Breaking down the requirements, we define the Target Product (TP) by building an index specifying the desired values for each trait and the inter-relations between them. Then, using large sets of genotypic and phenotypic data, we construct marker-specific linkage maps and a Genomic Code (GC), which we use to determine the optimal hybrid/line combinations for developing the final seed product.
Using our proprietary algorithms, we take the TP, combine it with the GC and create a quantitative trait locus (QTL) database, and define the TPGC. The algorithms calculate multiple genomic regions and their interactions, including effects of heterosis and epistasis, and maximize the genomic potential of specific plants for the development of new varieties.
To exploit the genomic potential of the TPGC, algorithms are applied to the available breeding populations, calculating millions of hybrid/line combinations and selecting those that are most similar to the TPGC. Based on the selected combinations, we perform classical crossing to produce the new products. This allows the breeder to run an accurate and focused development process from early stages of the breeding program.
Equinom’s TPGC technology is based on machine intelligence that increases its accuracy in each breeding cycle and across species, thus significantly reducing both time-to-market and cost.