Digital Image Analysis Using
breeding
classification
digital UPOV
ornamental value
software
sunflower
Journal
Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200
Informations de publication
Date de publication:
2020
2020
Historique:
received:
18
07
2020
accepted:
20
10
2020
entrez:
26
11
2020
pubmed:
27
11
2020
medline:
27
11
2020
Statut:
epublish
Résumé
As an esthetic trait, ray floret color has a high importance in the development of new sunflower genotypes and their market value. Standard methodology for the evaluation of sunflower ray florets is based on International Union for the Protection of New Varieties of Plants (UPOV) guidelines for sunflower. The major deficiency of this methodology is the necessity of high expertise from evaluators and its high subjectivity. To test the hypothesis that humans cannot distinguish colors equally, six commercial sunflower genotypes were evaluated by 100 agriculture experts, using UPOV guidelines. Moreover, the paper proposes a new methodology for sunflower ray floret color classification - digital UPOV (dUPOV), that relies on software image analysis but still leaves the final decision to the evaluator. For this purpose, we created a new
Identifiants
pubmed: 33240302
doi: 10.3389/fpls.2020.584822
pmc: PMC7680878
doi:
Types de publication
Journal Article
Langues
eng
Pagination
584822Informations de copyright
Copyright © 2020 Zorić, Cvejić, Mladenović, Jocić, Babić, Marjanović Jeromela and Miladinović.
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