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Triticale field phenotyping using RGB camera for ear counting and yield estimation
P. Stefański, S. Ullah, P. Matysik, K. Rybka
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
Grantová podpora
POIR-01.01.01-00-0782/16-00
Narodowe Centrum Badań i Rozwoju
CZ.02.1.01/0.0/0.0/16_026/0008446
Ministerstvo Školství, Mládeže a Tělovýchovy
- MeSH
- jedlá semena genetika MeSH
- prospektivní studie MeSH
- půda MeSH
- šlechtění rostlin MeSH
- triticale * MeSH
- Publikační typ
- časopisecké články MeSH
Triticale (X Triticosecale Wittmack), a wheat-rye small grain crop hybrid, combines wheat and rye attributes in one hexaploid genome. It is characterized by high adaptability to adverse environmental conditions: drought, soil acidity, salinity and heavy metal ions, poorer soil quality, and waterlogging. So that its cultivation is prospective in a changing climate. Here, we describe RGB on-ground phenotyping of field-grown eighteen triticale market-available cultivars, made in naturally changing light conditions, in two consecutive winter cereals growing seasons: 2018-2019 and 2019-2020. The number of ears was counted on top-down images with an accuracy of 95% and mean average precision (mAP) of 0.71 using advanced object detection algorithm YOLOv4, with ensemble modeling of field imaging captured in two different illumination conditions. A correlation between the number of ears and yield was achieved at the statistical importance of 0.16 for data from 2019. Results are discussed from the perspective of modern breeding and phenotyping bottleneck.
Faculty of Science National Centre for Biomolecular Research Masaryk University Brno Czech Republic
Plant Breeding Strzelce Ltd Co IHAR Group 99 307 Strzelce Poland
Citace poskytuje Crossref.org
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