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Climate-Smart Breeding

Fast, adaptive breeding solutions.

Computomics helps breeders navigate complex challenges with unique insights and clear direction for fast, adaptive breeding solutions.

 

We are committed to a journey towards smart, sustainable agriculture, with the seed as the starting point. Our unique climate-smart breeding technology supports breeders to answer some of global agriculture’s most pressing problems – increasing the variety, quality, resilience and adaptability of future crops

  • Advance genetic variability to deliver crops that succeed in specific environments and climate situations
  • Adapt crops to minimize production resources and maximize disease resistance and yield
  • Breed new varieties of crops with increased nutritional value and health benefits.

 

Dramatically improve Breeding Efficiency and Genetic Gain!
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Discover the Future of Plant Breeding

At Computomics, we understand the challenges encountered by plant breeders. New crop varieties have to be produced faster, cost-efficiently, and under rapidly changing climate conditions. In response to these challenges, our cutting-edge machine learning-based technology, SeedScore®, is here to empower you like never before. It's an invaluable addition to your plant breeder's toolbox.

Our tailored technical support and consulting services are designed to cater to your unique plant breeding program's needs, putting you on the path to a new commercial product. Let us support you in making more (and better) data-driven decisions on the path to creating your future signature genetics.

Benefits

  • Gain unbiased insight into where and why crops perform well
  • Unlock sleeping potential that is unveiled by SeedScore®
  • Predict the best performers, both for today and future climates
  • Identify 10x more outstanding candidates for your commercial pipeline
  • Reduce time to market by 2-6 years

 


Achieve Your Breeding Goals With ⨉SeedScore®

Enabling you to fully exploit the potential of our machine learning-based technology is our highest priority. To achieve this, we guide you on our joint journey, which encompasses four major steps:

Assess

  • Comprehensive review and evaluation of the data you have generated thus far to ascertain the breeding program's current capabilities and potential additional requirements to unlock its full potential.
  • Examination of the structural aspects of your breeding program, with the aim of identifying strategies to maximize the utility of SeedScore®.
  • Our evaluation is conducted with due consideration for your specific objectives and the challenges you encounter.

Plan

  • Building upon the insights gained from the data assessment we collaborate to determine an optimal initial project that aligns seamlessly with your breeding scheme.
  • The discussion encompasses your desired outcomes and devising strategies to achieve them, leveraging the available data.
  • If additional data is required, we support you in finding the most cost-efficient way to generate it.

Predict

  • Identify the ideal training data set and train the initial models.
  • Optimize models specifically for your program, taking into account environmental data and other relevant metadata pertinent to your breeding efforts.
  • Upon completion, we provide you with the first set of SeedScore®’s prediction results and offer support in using them as efficiently as possible.

Apply

  • Breeders integrate xSeedScore® results into their decision-making process and select the best-performing candidates for future crosses or commercial variety development.
  • Continuous refinement and adjustments to align with your needs.
  • As additional data becomes available, it is integrated into the system.

The prediction and application phases (steps 3 and 4) are carried out as routine practices and are repeated multiple times throughout the year, contingent upon your breeding program.


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Boost Your Breeding Program

Our machine learning-based technology SeedScore® is well-suited for a wide range of crops - field and vegetables crops for variety development as well as for hybrid production. We invite you to explore its applicability within your breeding cycle and discover the ways in which it can support your selection processes.

 

Variety Development

Variety Development

At a strategic level, variety development breeding cycles typically encompass three fundamental phases - the creation of genetic variation, the forming of varieties, and the testing - to identify the top performers resulting in a new commercial variety.

With our machine-learning-based technology SeedScore®, we can provide invaluable support in the early stages. Here, we excel at identifying e.g. the crosses that show the greatest potential to outperform existing commercial varieties. Based on phenotypic and genotypic data from your current breeding program, we predict the performance of the genetics available to you in new crosses. This foresight allows you to focus your efforts on the crosses and varieties with the highest probability of success.

As you approach the end of the variety forming phase, just prior to embarking on the testing phase, our expertise comes into play again. By using genetic information about your potential new varieties, we can predict their performance under field conditions. This predictive capability allows you to rationalize your field resources and focus on a selected subset of potential new varieties, greatly improving your chances of success in the final testing phase.

 

 

Hybrid Breeding

Hybrid Breeding

At a strategic level, hybrid breeding cycles typically encompass three fundamental phases - the creation of genetic variation, the creation of parental lines, and the creation and testing of hybrids - identifying the top performers resulting in a new commercial hybrid.

In all instances, a comprehensive understanding of the genetics of the hybrid parents and the phenotypic attributes of the hybrid is imperative.

With our machine learning-based technology SeedScore®, we can provide invaluable support in the early stages. Here, we excel at identifying the crosses that show the greatest potential to become parental lines. Based on phenotypic and genotypic data from your current breeding program, we predict the performance of the genetics available to you in new crosses. This foresight allows you to focus your efforts on the crosses and parents with the highest probability of success.

As you approach the end of the parental line forming phase, just prior to embarking on the testing phase, our expertise comes into play again. By using genetic information about your potential hybrid parents, we can predict their performance in all hybrid combinations under field conditions. This predictive capability allows you to rationalize your field resources and focus on a selected subset of potential new hybrids, greatly improving your chances of success in the final testing phase.

 


Navigate the Future With Our Predictive Dashboard

Experience actionable insights! Our demo dashboard showcases the depth of conclusions you can draw from our predictions with SeedScore®.

This interactive dashboard features yield-to-moisture plots illustrating predicted values for corn hybrids, among other insights. The color-coded elements within the plots provide distinctions among hybrid groups, reflecting their genetic lineage, used tester, environments in which performance predictions were generated, and other details. These visualizations are fully customizable to align seamlessly with your dataset and are also adaptable for other use cases such as variety development.

 


Identify Gene Editing Targets

In addition to traditional plant breeding methods, new breeding techniques such as CRISPR offer novel possibilities to optimize and enhance plant characteristics. Editing enables targeted, adaptable, and rapid modifications of plant genomes.

 

While these groundbreaking technologies hold the promise of designing future-ready plants, there remain challenges. One such challenge is the precise identification and detection of the key editing targets essential for enhancing desirable traits. This task can prove time-consuming and labor-intensive, particularly when dealing with complex traits like yield or disease resistance.

Leveraging cutting-edge machine learning for CRISPR genome editing technologies, we facilitate the acceleration of new plant variety development, reducing the timeline by 3-4 times compared to traditional breeding.

 

Accelerate your plant breeding with our solution AccelATrait™ and benefit from the combined experience of experts in bioinformatics, plant breeding and genome editing.

Benefits of Computomics AccelATrait™ solution:

  • Precise detection, identification and location of novel editing targets using the latest machine learning approaches developed by Computomics
  • Speed up commercialization of genetically uniform edited plants with a validated CRISPR workflow

 

End-to-end workflow:


Success Story

Predict virtual hybrids from a male and female double-haploid population and predict hybrid phenotypes that exceed their parents and testers

Success Story

Multi-trait optimization in malting barley for specific climates

Success Story

Advancing rice breeding by predicting actual phenotypic values in specific environments


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