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README (supplemental)CC BY V4.0, Open Access
DataCC BY V4.0, Open Access
Dataset
High self-paternity levels and effects of fertilised-seed number on size of strawberry fruit
University of the Sunshine Coast
2022
DOI:
https://doi.org/10.25907/00675
Appears in UniSC Research Data Collection
Abstract
Cross-pollination can increase fruit production in self-incompatible and self-compatible fruit crops. However, it is often unclear what proportions of the fruit crop result from cross-pollination. Here, we aimed to identify the number of fertilised seeds and the proportions of cross-pollinated seeds at increasing distances from a cross-pollen source in strawberry cultivars Red Rhapsody and Sundrench. We analysed to what extent the proportions of cross-pollinated seeds and the number of fertilised seeds affected fruit size and quality including colour, firmness, Brix and acidity.
Details
- Title
- High self-paternity levels and effects of fertilised-seed number on size of strawberry fruit
- Authors
- Wiebke Kämper (Data Collector) - Griffith UniversityDinh Dung Cao (Data Collector) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacySteven Ogbourne (Data Collector) - University of the Sunshine Coast, Queensland, GeneCology Research Centre - LegacyHelen Wallace (Data Collector) - Griffith UniversityStephen Trueman (Data Collector) - Griffith University
- Format
- MS Excel (xlsx); 196KB
- Location
- Location: Palmview, Queensland, Australia.
- Publisher
- University of the Sunshine Coast
- Date collected
- 24-Jun-2019–28-Aug-2019
- Date published
- 2022
- DOI
- 10.25907/00675
- Copyright note
- This work is licensed under a Creative Commons Attribution 4.0 License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
- Organisation Unit
- School of Science and Engineering - Legacy; GeneCology Research Centre - Legacy; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99663997902621
- Output Type
- Dataset
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