• Aucun résultat trouvé

: Integration of Standard Variables

N/A
N/A
Protected

Academic year: 2021

Partager ": Integration of Standard Variables"

Copied!
1
0
0

Texte intégral

(1)

:

Integration

of Standard Variables

P1288

Léo Valette*, Julian Pietragalla, Marie-Angélique Laporte, Agbona Afolabi, Ousmane Boukar, Steven B. Cannon, Brian W. Diers, Kate A. Dreher, Pooran M. Gaur, Alberto Fabio Guerrero, C. Tom Hash, Vilma Hualla, Drabo Inoussa, Scott R. Kalberer, Clarisse Kondombo-Barro, Shiv Kumar, Antonio Lopez-Montes, Naama Menda, Randall Nelson, Sam Ofodile, Suyash Patil, Peteti Prasad, Karthika

Rajendran, Jean-Francois Rami, Abhishek Rathore, Ruaraidh Sackville Hamilton, Rosemary Shrestha, Reinhard Simon, Niaba Teme, Eva Weltzien-Rattunde and Elizabeth Arnaud*.

* Bioversity International, Montpellier, France. Email: [email protected]

The Crop Ontology development

Trait Dictionary template

• Developed by the Crop Ontology and the Integrated Breeding Platform to support the creation of ontologies

• Populated by breeders with their traits, observation methods and reporting scales

The Crop Ontology online tool features:

• The publication of ontologies from the Trait Dictionary template or OBO files • The browsing of term definitions and relations

• An Application Programming Interface to provide databases and web applications with ontologies in Excel, OBO, RDF, JSON formats

http://www.cropontology.org

(https://github.com/bioversity/Crop-Ontology)

The Breeding Management System uses the Trait Dictionaries to: • Create breeders’ fieldbook

• Annotate and store breeders’ data http://integratedbreeding.net/

Improvement in phenotype annotation

Online visualization

• Complete the upgrade of the Trait Dictionaries

• Start upgrading the Trait Dictionaries of banana and potato

• Upload the Trait Dictionaries in the Breeding Management System 4.0 • Release curation guidelines

• Add crops: cacao, faba bean, sunflower, forage, grape, beetroot, woody plants • Translate the Trait Dictionaries into relevant languages

Next Steps

1

Variable

= {1 Trait, 1 Method, 1 Scale}

To annotate phenotypes, Crop Ontology supplies breeders with:

• Traits i.e. the observed plant entities (e.g. leaf, grain) and attributes (e.g. color, weight)

• Methods i.e. the protocols to observe the trait

• Scales i.e. the units or categories that can express the trait observation

Data annotation with variables

Crop Trait Dictionary upgrade

Variable CO identifier Name Synonyms Status Xref Context of use Growth stage

Submitting scientist and institution Date of submission Language of submission scale_of is_a method_of

variable_of

Trait class Trait CO identifier Name Definition

Synonyms and abbrev.

Entity Attribute Status Xref n n Method CO identifier Name Class Description Formula Reference 1 1 Scale CO identifier Name Class Xref Categories Decimal places Lower/upper limit 1 1 n n n 1 For numerical scales

For ordinal and nominal scales

Variable Trait Method Scale PltHt_Meas_cm Plant height i.e., the

distance from ground level to the tip of the spike

Measure the height of a plant with a ruler cm PltHt_Av_cm Compute the average of 5 to 10 individual

plant height measurements cm PltHt_Est_0to5 Visually estimate the average plant height Score GW100_Meas_g

100 grain weight i.e., the weight of 100

dehulled grains

Weigh a defined number of grains. Then, divide the weight by the number of grains and multiply by 100

g per 100 grains

CO schema upgrade

Examples of variables:

Thus, a plant phenotype had to be annotated with 3 identifiers for the trait, the method and the scale, respectively. Yet, breeders’ fieldbooks and phenotype

databases are often designed to annotate a datapoint with only one identifier.

In May 2015, Crop Ontology has consequently been revised to integrate the variables.

http://www.cropontology.org

CO_322:0000684: “Estimation of Chilo partellus damage on a 1 to 5 scale”

CO_322:0000869: “Measurement

of plant height in cm”

In the Breeding Management System:

In Nextgen databases:

: Addition of the variable Added term information

Références

Documents relatifs

(4) Remark 2 We note that, for bounded and continuous functions f, Lemma 1 can also be derived from the classical Crofton formula, well known in integral geometry (see for

We now apply our main result to the computation of orness and andness average values of internal functions and to the computation of idempotency average values of conjunctive

Multivariate integration of functions depending explicitly on the extrema of the variables. Calculating orness values of

Impact of the statistical method, training dataset, and spatial scale of post-processing to adjust ensemble forecasts of the height of new snow.. EGU General Assembly Conference,

Methods: We predicted global distributions of community mean specific leaf area, leaf nitrogen concentration, plant height and wood density with an ensemble model- ling approach

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

In other words, we asked whether participants were more likely to report experiencing déjà vu or TOT when asked about the experience repeatedly throughout the recognition task (Déjà

– Complementary topic databases, for example focusing on geographical dis- tributions like Senckenberg’s West African Plants [1], provide large image collections which allow