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A virtual file Seed File for Genebank Management

A virtual file Seed File for Genebank Management

What is Virtual Seed File?

The seed file contains various types of seeds and classifies them by their features. It can be used for seed phenotyping.

For example, rice has many varieties and all of them can be distinguish by one of their features. Genebank Management allows the user to analyze samples with unknown rice types and the robust technology can classify them in a rapid and accurate way.

Genebank Management and its importance

It allows the technician to understand what types of seeds he has. This can be further used for improving their crop or the development of new varieties.

Spectral imaging with machine learning aids the user with accurate classifications. Videometer technology is ever-evolving with room for customization depending on the needs of the organization.

virtual seed file Videometer. Rice varieties
Rice Virtual Seed File by Videometer

Management of genebank seed accessions – Virtual Seed File

Cambridge University Press has published a research paper regarding multispectral imaging and its application in seed phenotyping. They analyzed 20 diverse variations of rice seeds (with approximately 30 seeds of each kind). To read more about their scientific method as well as the research conducted, click here.

The proportion of correctly classified rice seeds was 93%. We conclude that the multispectral image analysis could play a role in comparing incoming seeds against existing accessions, identifying different seed types within a sample of seeds and/or in checking whether regenerated seeds match the original seeds.

Hansen, M. A. E., Hay, F. R., & Carstensen, J. M. (2015). A virtual seed file: the use of multispectral image analysis in the management of genebank seed accessions. Plant Genetic Resources, 14(3), 238–241.

References

Hansen, M. A. E., Hay, F. R., & Carstensen, J. M. (2015). A virtual seed file: the use of multispectral image analysis in the management of genebank seed accessions. Plant Genetic Resources, 14(3), 238–241.

 

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