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Seed Pathogen Detection and Varietal Identification in wheat

Seed Pathogen Detection and Varietal Identification in wheat

Why Seed Pathogen detection and varietal identification is important?

Seeds can contain many bacteria or other microorganisms that have a detrimental effect on the growth and health of seeds. Hence, research on seed pathogen and varietal identification is crucial for finding reasons and mitigating risk.

Furthermore, this process helps to improve crops and find solutions for eradicating not desired microorganisms, like fusarium infection.

Image Spectroscopy for Seed Diagnostics

Videometer with its spectral imaging solution can offer a variety of seed detection analyses:

  • Seed Purity – admixture content, broken seeds
  • Genetic Purity
  • Germination and Vigor
  • Health – uniformity, varietal identification and more
  • Treatment – coating, dressing, pelleting etc.

Seed quality is not only detecting detrimental microorganisms, it also concerns structure surface, morphology, and prediction of chemical composition.

Seed Pathogen Detection and Varietal Identification

In a recent scientific paper, Videometer technology was tested on detection of fusarium in winter wheat (Triticum aestivum L.) and wheat triticale (Triticosecale Wittm. & Camus). Moreover, the report follows step-by-step research with the usage of VideometerLab.

Seed Pathogen and Varietal Identification by VideometerLab
Seed Pathogen and Varietal Identification by VideometerLab

The scientific paper, The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification concludes on VideometerLab performance in seed pathogen detection and varietal identification:

According to the indicated results, multispectral imaging performed excellently in the separation between Fusarium-infected parts of the seeds from uninfected parts as well as for robust variety separations (color, size, species) with currently available software and nCDA features.

The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification

References

Vrešak, M., Halkjaer Olesen, M., Gislum, R., Bavec, F., & Ravn Jørgensen, J. (2016). The Use of Image-Spectroscopy Technology as a Diagnostic Method for Seed Health Testing and Variety Identification. PLOS ONE, 11(3), e0152011.

 

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