Defining strawberry shape uniformity using 3D imaging and genetic mapping
- Submitting institution
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University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 5998925
- Type
- D - Journal article
- DOI
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10.1038/s41438-020-0337-x
- Title of journal
- Horticulture Research
- Article number
- 115
- First page
- -
- Volume
- 7
- Issue
- -
- ISSN
- 2052-7276
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2020
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This project was funded by BBSRC (BB/M01200X/2, BB/P005039/1) and Innovate UK (project 101914), along with industrial partners, including Soloberry, Sainsburys, Botanicoir and Agrovista. A previously developed 3D phenotyping platform was upgraded to measure fruit shape uniformity, which could only be measured by extremely subjective manual assessment. The quantitative analysis conducted by this imaging platform provided valuable phenotyping data for genetic analysis and can be used in future marker-assisted breeding programmes. In collaboration with the Chinese Academy of Agricultural Sciences (CAAS), the 3D imaging platform has been applied to major potato breeding programme.
- Author contribution statement
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- Non-English
- No
- English abstract
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