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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Halcro, Keith McNabb, Kaitlin Lockinger, Ashley Socquet-Juglard, Didier Bett, Kirstin E. Noble, Scott D. |
| Abstract | Background Quantitative and qualitative assessment of visual and morphological traits of seed is slow and imprecise with potential for bias to be introduced when gathered with handheld tools. Colour, size and shape traits can be acquired from properly calibrated seed images. New automated tools were requested to improve data acquisition efficacy with an emphasis on developing research workflows. Results A portable imaging system (BELT) supported by image acquisition and analysis software (phenoSEED) was created for small-seed optical analysis. Lentil (Lens culinaris L.) phenotyping was used as the primary test case. Seeds were loaded into the system and all seeds in a sample were automatically individually imaged to acquire top and side views as they passed through an imaging chamber. A Python analysis script applied a colour calibration and extracted quantifiable traits of seed colour, size and shape. Extraction of lentil seed coat patterning was implemented to further describe the seed coat. The use of this device was forecasted to eliminate operator biases, increase the rate of acquisition of traits, and capture qualitative information about traits that have been historically analyzed by eye. Conclusions Increased precision and higher rates of data acquisition compared to traditional techniques will help to extract larger datasets and explore more research questions. The system presented is available as an open-source project for academic and non-commercial use. |
| Related Links | https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-020-00591-8.pdf |
| Ending Page | 13 |
| Page Count | 13 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17464811 |
| DOI | 10.1186/s13007-020-00591-8 |
| Journal | Plant Methods |
| Issue Number | 1 |
| Volume Number | 16 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2020-04-10 |
| Access Restriction | Open |
| Subject Keyword | Plant Sciences Biological Techniques Lentil Computer vision Colour Seed coat Camera Phenotyping Open source |
| Content Type | Text |
| Resource Type | Article |
| Subject | Plant Science Biotechnology Genetics |
| Journal Impact Factor | 4.7/2023 |
| 5-Year Journal Impact Factor | 5.6/2023 |
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