EVOLVES Activity 3a. BELT_Digital imaging of seed visual quality characteristics – Green Seed Coat Colour Retention
Seeds from each sample were imaged using BELT and poor-quality photos (photos containing overlapping seeds, cracked or broken seeds, and an abundance of debris) were discarded such that ~200 images were saved for each sample. Imaging was conducted at a time of ~18 months following harvest for seeds grown in 2019. For the samples grown in 2021, seeds were imaged ~6 months following harvest, ~12 months following harvest, and ~18 months following harvest. For seed grown in 2022, imaging was completed ~6 months following harvest. All images were uploaded to Datastore, where PhenoSEED (BELT's accompanying software) automatically extracted CIE L*a*b* scores and generated the data below. Age is denoted in such a manner where "Fresh" = ~6 months; "Mid" = ~12 months; and "Old" = ~18 months.
Associated Datasets
BELT data
Size and colour data generated by BELT and PhenoSEED (Halcro et al. 2020) from single seeds of the 160 RILS (LR-06) grown in 2019, 2021, and 2022.
Relationship
Relationships |
---|
The project, EVOLVES Activity 3a. BELT_Digital imaging of seed visual quality characteristics – Green Seed Coat Colour Retention, is a part of project, EVOLVES Activity 3a. Digital imaging of seed visual quality characteristics – Green Seed Coat Colour Retention. |
The project, EVOLVES Activity 3a. BELT_Digital imaging of seed visual quality characteristics – Green Seed Coat Colour Retention, derives from project, EVOLVES Activity 3- Genomics and phenomics of visual quality traits in lentil. |
Data Attribution
Data Collector | Matt Remenda
|
---|---|
Data Source | Bett Lab, University of Saskatchewan
|
Data Custodian | Dr.Kirstin Bett, University of Saskatchewan
|
Curator | Ruobin Liu, KnowPulse Curation Team
|
Citation
Matt Remenda (2024) Unpublished phenotypic data [Data set]. Bett Lab, University of Saskatchewan. Retrieved from KnowPulse: https://knowpulse.usask.ca/experiment/phenomics/BELT-Green-Seed-Coat-Colour-Retention. All rights reserved.