ArticleAoB PLANTS2024
Automated seminal root angle measurement with corrective annotation.
Article in AoB PLANTS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Haplotype-based insights into seminal root angle in barley.The plant genome · 2025Article
- The value of early root development traits in breeding programs for biomass yield in perennial ryegrass (Lolium perenne L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
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Authors and funding
7 authors.
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Abstract
Measuring seminal root angle is an important aspect of root phenotyping, yet automated methods are lacking. We introduce SeminalRootAngle, a novel open-source automated method that measures seminal root angles from images. To ensure our method is flexible and user-friendly we build on an established corrective annotation training method for image segmentation. We tested SeminalRootAngle on a heterogeneous dataset of 662 spring barley rhizobox images, which presented challenges in terms of image clarity and root obstruction. Validation of our new automated pipeline against manual measurements yielded a Pearson correlation coefficient of 0.71. We also measure inter-annotator agreement, obtaining a Pearson correlation coefficient of 0.68, indicating that our new pipeline provides similar root angle measurement accuracy to manual approaches. We use our new SeminalRootAngle tool to identify single nucleotide polymorphisms (SNPs) significantly associated with angle and length, shedding light on the genetic basis of root architecture.
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