ontologies
CO_370
Apple Ontology (CO_370)
OWL
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Last submission date January 30, 2023
Summary
Classes
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Instances
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General information

Abstract

The Apple Trait Ontology (ATO) is a vital resource for the precise and standardized description of apple varieties, enabling a deeper understanding of their genetic, morphological, and agronomic characteristics. Apples (Malus domestica) are one of the most widely cultivated and consumed fruits globally, and their immense diversity poses challenges in terms of classification, breeding, and research. ATO serves as a comprehensive framework to overcome these challenges. ATO is designed to capture and categorize a wide range of apple traits, encompassing characteristics such as fruit shape, size, color, texture, flavor, nutritional content, disease resistance, and more. This ontology employs standardized terminology and hierarchical structures to create a common language for researchers, horticulturists, and fruit breeders. The ATO not only aids in data sharing and integration but also promotes collaboration among diverse stakeholders in the apple industry. See more...

Description

Apple (Malus domestica) defines crop traits and variables to support the standardisation of apple breeding databases providing description of agronomic, morphological, physiological, quality traits, its methods and scales. See more...
Initial created on August 23, 2022. For additional information, contact Ekaterina Chuprikova (ekaterina.chuprikova@eurac.edu) and Crop Ontology Helpdesk (helpdesk@cropontology-curationtool.org).

Languages

Keywords and classes

crop ontology
breeding
fruit-growing ontology

Categories and subjects

Plant Phenotypes and Traits
agri-food
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FAIR score
Beta

Total score : 294.0 ( 61.0%)
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Ontology relations network

Submissions

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Identifiers

URI

http://www.cropontology.org/ontology/CO_370
http://www.cropontology.org/ontology/CO_370

Other identifier

https://doi.org/10.48784/134j-4652
https://doi.org/10.48784/134j-4652

Dates

Creation date

August 23, 2022

Submission date

January 30, 2023

Persons and organizations

Contact

Ekaterina Chuprikova
Crop Ontology Helpdesk

Contributor

Laimburg Research
Walter Guerra

Publisher

EURAC (https://www.eurac.edu)

Funded or sponsored by

This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 894215.

Other links

Projects and usage information

Projects using CO_370

An Ontology-based Visual Analytics Approach to Big Data from Agricultural Monitoring Infrastructure

Known usage

Apple breeding data analysis

Designed for task (as defined by OMV).

http://omv.ontoware.org/2005/05/ontology#IntegrationTask
http://omv.ontoware.org/2005/05/ontology#IntegrationTask

Subject

agri-food

Example of use

https://meetingorganizer.copernicus.org/EGU21/EGU21-15804.html
https://meetingorganizer.copernicus.org/EGU21/EGU21-15804.html

Methodology and provenance

Created with

http://protege.stanford.edu
http://protege.stanford.edu

Community

Audience

Breeding institutions

Repository

https://github.com/echuprikova/AppleCropOntology
https://github.com/echuprikova/AppleCropOntology

Bug database

https://github.com/echuprikova/AppleCropOntology/issues
https://github.com/echuprikova/AppleCropOntology/issues

Groups

Crop Ontology Curation Tool

Content

Preferred namespace URI

https://cropontology.org/rdf/CO_370
https://cropontology.org/rdf/CO_370

Preferred namespace prefix

co

Example of resource

https://cropontology.org/rdf/CO_370:0001028
https://cropontology.org/rdf/CO_370:0001028

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