2026-06-02T02:41:11Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/129482026-02-03T11:54:18Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Talavera Judez, Alicia
author
Pineda, Hugo
author
Hormaza Urroz, José Ignacio
author
Matas-Arroyo, Antonio Javier
2017-02-08T10:24:13Z
2017-02-08T10:24:13Z
2017-02-08
http://hdl.handle.net/10630/12948
http://orcid.org/0000-0003-4348-3930
Subtropical fruits, like avocado and cherimoya, are key crops for food security in a wide range of countries, with an increasing commercial importance worldwide. Even though their importance is starting to be recognized and high throughput sequencing approaches are currently being used to characterize genomewide patterns from natural diversity populations and breeding stocks, currently ontological available information for these subtropical fruits crops is scarce and often not based in internationally standardized formats. Thus, the challenge to correlate the expanding molecular information data available with plant phenotype and crop traits remains an important issue in breeding programs for these crops.
With the aim to facilitate future analyses we present a controlled vocabulary for harmonizing the annotation of phenotypic and genomic data for these crops. These new ontologies represent an extended ontology to fit avocado and cherimoya traits commonly used in variety descriptions, mainly established by Biodiversity International and the International Union for the Protection of New Varieties of Plants (UPOV), but also custom ad hoc descriptors. The developed ontology includes measurable or observable characteristics of plants as well as abiotic and biotic stress susceptibility. The resource is available in standard OBO formats ready to be used in GMOD and Tripal inspired biological databases to allow data sharing and reusability. The approach followed here can be of interest to other crops in which standardized ontologies are still missing.
eng
by-nc-nd
Aguacate
Chirimoyas
Fenotipo
Avocado (Persea americana) and cherimoya (Annona cherimola) crop ontologies facilitate data interoperability among different descriptors in biological databases
conference output
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URL
https://riuma.uma.es/bitstreams/1c548495-7b9c-4476-b32e-cb2128bcb794/download
File
MD5
63feb38c977f82f5f8616b03eb83239c
68883
application/pdf
PAGXXV_2017_TalaveraA.pdf