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GridScore: a tool for accurate, cross-platform phenotypic data collection and visualization.

Sebastian Raubach1, Miriam Schreiber2, Paul D Shaw3

  • 1Department of Information and Computational Sciences, The James Hutton Institute, Invergowrie, Dundee, Scotland. sebastian.raubach@hutton.ac.uk.

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Summary
This summary is machine-generated.

GridScore is a new open-source plant phenotyping app that combines familiar field plans with advanced features like georeferencing and speech recognition. This tool enhances data collection efficiency and accuracy for plant breeding and crop research.

Keywords:
BioinformaticsData-collectionData-transferData-visualizationPhenotypingPlant-breedingPlant-genetics

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Area of Science:

  • Agricultural Science
  • Plant Biology
  • Genetics

Background:

  • Experimental phenotyping trials are crucial for plant breeding and crop research.
  • Efficient and accurate data capture for numerous traits and varieties is essential.
  • Traditional methods like hand-scoring and spreadsheets have limitations, despite existing digital solutions.

Purpose of the Study:

  • To introduce GridScore, an innovative plant phenotyping app.
  • To enhance the familiarity of traditional field plans with modern digital features.
  • To improve the efficiency and accuracy of phenotypic data collection.

Main Methods:

  • GridScore utilizes web technologies to replicate the user experience of printed field plans.
  • It incorporates advanced features such as georeferencing, image tagging, and speech recognition.
  • The app employs a barcode-based system with a guided data collection approach and a top-down field layout view.

Main Results:

  • GridScore offers a familiar interface combined with enhanced data collection capabilities.
  • It supports georeferencing, image tagging, and speech recognition for detailed phenotyping.
  • The app provides a clear, top-down visualization of collected data within the field layout.

Conclusions:

  • GridScore demonstrates strong performance compared to existing phenotyping tools.
  • It offers a comprehensive manual phenotyping experience.
  • The app is a valuable, open-source solution for plant breeding and crop research data collection.