New Smart Chips for Brassicaceae and Sunflower: Development of the Automated Data Analysis and Robust Sampling Methods
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14. September 2022, 2 PM, CEST
Virtual Amphacademy 2022
Learn about the launch of the new smart chips for Brassicaceae and Sunflower and findings during their development
In this online session, Grit Schade talks about the new smart chips with automated data analysis, robust sampling and sample preparation methods for pollen analysis, the effects of abiotic factors on pollen and the measurement of stored brassicaceae and sunflower pollen.
Discover:
- How to set-up a robust sampling and sample preparation method and the ideal point in time for pollen harvest
- How to investigate the effects of abiotic factors on brassicaceae and sunflower pollen
- How to store pollen from brassicaceae and sunflower and how to measure stored pollen
Key learnings from this session:
- Know how to collect and prepare samples for pollen viability analysis for Brassicaceae
- Know how to collect and prepare samples for pollen viability analysis and counting from sunflower
- Know how to store and handle stored pollen from Brassicaceae and sunflower
Watch the Recordings!
Climate change and an increasing world population demand for more efficient plant breeding and seed production. New technologies like gene editing or the use of artificial intelligence in phenotyping are a start, but not sufficient to overcome this complex challenge. At Amphasys we believe that cells hold the key to a sustainable future. We have developed a unique technolog for pollen analysis that helps increase the efficiency of breeding processes.
As part of the 6th Innovator Showcase organized by Seed Central and UC Davis Innovation Institute for Food & Health, Amphasys was offered the possibility to open our doors for an online company visit. During this session Dr. Gorka Santos introduces Amphays’s technology and explains how pollen analysis and in particular our pollen analyzers be used to:
- Speed up the selection of anthers for DH protocols
- Improve pollen phenotyping of lines
- Optimize plant growth conditions
- Enable systematic quality control
