Helium: Visualization of Large Scale Plant Pedigrees
Paul D. Shaw, Martin Graham, Jessie Kennedy, Iain Milne, David F., Marshall

TL;DR
Helium is an interactive visualization tool that integrates diverse plant data with large pedigrees, aiding breeders in making informed decisions to improve crop traits and adapt to climate change.
Contribution
The paper introduces Helium, a novel pedigree visualization system tailored for plant breeding, integrating multiple data types with large-scale pedigrees based on expert feedback.
Findings
Helium enables easy integration of various data types with pedigree data.
Users found the abstract pedigree representation effective and satisfactory.
The tool supports exploration of complex plant pedigree data.
Abstract
Background: Plant breeders are utilising an increasingly diverse range of data types in order to identify lines that have desirable characteristics which are suitable to be taken forward in plant breeding programmes. There are a number of key morphological and physiological traits such as disease resistance and yield that are required to be maintained, and improved upon if a commercial variety is to be successful. Computational tools that provide the ability to pull this data together, and integrate with pedigree structure, will enable breeders to make better decisions on which plant lines are used in crossings to meet both critical demands for increased yield/production and adaptation to climate change. Results: We have used a large and unique set of experimental barley (H. vulgare) data to develop a prototype pedigree visualization system and performed a subjective user evaluation…
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Taxonomy
TopicsData Visualization and Analytics · Data Analysis with R · Species Distribution and Climate Change
