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August 1, 2025Open Access

Leveraging High-dimensional Seed Colorspace in Phenomic Selection Models for Herbaceous Perennial Crops

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Authors

WKWilliam KeaggyZHZachary N. HarrisJBJackson Braley

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Overview

Research demonstrates predictive value of seed traits for germination in perennial crops, highlighting phenomic selection's role in breeding.

Key Points

  • Phenomic selection can speed up breeding cycles for underdeveloped perennial crops.
  • Over 20,000 seeds were analyzed for color and morphological traits using image scans.
  • Correlations between germination traits and seed characteristics were complex, influenced by maternal family.
  • Combining HSV features with morphology improved predictions of germination proportion up to r = 0.33.

Cite This Study

Keaggy et al. (2025) studied this question.

synapsesocial.com/papers/689a0c6be6551bb0af8cfc6fhttps://doi.org/10.1101/2025.07.28.667321
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Leveraging high‐dimensional seed colorspace in phenomic selection models for herbaceous perennial crops2025
  2. 2SUnSeT: spectral unmixing of hyperspectral images for phenotyping soybean seed traits2024 · 3 citations
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  4. 4Feature engineering and parameter tuning: improving phenomic prediction ability in multi-environmental durum wheat breeding trials2024 · 6 citations
  5. 5Combining phenomic and genomic selection for pea breeding improvement2025