BREEDER’S BLOG

๐——๐—ฒ๐—บ๐—ผ๐—ฐ๐—ฟ๐—ฎ๐˜๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐— ๐—ผ๐—น๐—ฒ๐—ฐ๐˜‚๐—น๐—ฎ๐—ฟ ๐—•๐—ฟ๐—ฒ๐—ฒ๐—ฑ๐—ถ๐—ป๐—ด: ๐—ช๐—ต๐—ฒ๐—ป ๐—ฆ๐—ต๐—ผ๐˜‚๐—น๐—ฑ ๐—ฆ๐—ฒ๐—ฒ๐—ฑ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—š๐—ผ ๐—œ๐—ป-๐—›๐—ผ๐˜‚๐˜€๐—ฒ?

In the late 90s, during my PhD, I was struggling with just 30 SSR markers while developing a library of introgression lines in Arabidopsis thaliana. In 2000, the full genome of this model plant was publishedโ€”after 10 years of work, involving over 300 researchers across six countries, and a budget of around $80 million.

Fast forward 25 years: the landscape of plant genomics has been revolutionized.

๐Ÿš€ Today, we are witnessing the democratisation of molecular breedingโ€”what once required massive public investment and elite research institutions is now accessible to small and medium-sized seed companies.

Hereโ€™s whatโ€™s changed:
1๏ธโƒฃ Hundreds of plant genomes have been sequenced and are publicly available.
2๏ธโƒฃ Molecular markers linked to major QTLs and causal mutations are known for many key traits.
3๏ธโƒฃ Portable, modular, and low-cost genotyping instruments are commercially available.
4๏ธโƒฃ Cloud-based computing and digital breeding tools are within reach for most users.
5๏ธโƒฃ Many plant breeders now have training in molecular genetics or collaborate with those who do.

All of this means that small and mid-sized breeding programs can now build in-house molecular capacityโ€”and do so with a realistic and fast return on investment.

๐—ฃ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฎ๐—น ๐—–๐—ต๐—ฒ๐—ฐ๐—ธ๐—น๐—ถ๐˜€๐˜: ๐—œ๐˜€ ๐˜๐—ต๐—ฒ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐˜† ๐—ฅ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ณ๐—ผ๐—ฟ ๐—œ๐—ป-๐—›๐—ผ๐˜‚๐˜€๐—ฒ ๐—š๐—ฒ๐—ป๐—ผ๐˜๐˜†๐—ฝ๐—ถ๐—ป๐—ด?
๐Ÿ”ธDoes the company handle hundreds or thousands of samples per season?
๐Ÿ”ธAre molecular markers already being used for selection, purity testing, or backcrossing?
๐Ÿ”ธIs there a need for fasterย  result turnaround than external labs can offer (e.g., 3โ€“7 days instead of weeks)?
๐Ÿ”ธDoes the team include staff trained in DNA extraction and genotyping workflows?
๐Ÿ”ธIs keeping proprietary markers and data confidential a priority?
๐Ÿ”ธIs there access to validated markers for traits of interestโ€”or the capacity to develop them?
๐Ÿ”ธIs there a budget for setup (โ‚ฌ30Kโ€“โ‚ฌ200K) and ongoing operational costs?
๐Ÿ”ธIs there a dedicated lab space with basic infrastructure (power, temperature control, storage)?
๐Ÿ”ธIs the company looking to reduce long-term outsourcing costs and gain technical independence?

๐Ÿ‘‰ If you checked most of the boxes above, it’s time to run the numbers. ๐—จ๐˜€๐—ฒ ๐—ฎ๐—ป ๐—ฅ๐—ข๐—œ (๐—ฅ๐—ฒ๐˜๐˜‚๐—ฟ๐—ป ๐—ผ๐—ป ๐—œ๐—ป๐˜ƒ๐—ฒ๐˜€๐˜๐—บ๐—ฒ๐—ป๐˜) calculator to assess whether building an in-house genotyping facility makes financial sense for your company. ROI is a tool that helps you evaluate the financial return on an investment compared to its cost. It can show you how quickly your investment could pay for itself and help you understand the long-term benefits.

The tools are no longer the barrier โ€” it’s all about vision, planning, and strategic investment. ๐Ÿš€