De Oliveira Yannick, Burlot Laura, Dawson Julie C., Goldringer Isabelle, Madi Darkawi, Rivière Pierre, Steinbach Delphine, Van Frank Gaëlle, Thomas Mathieu. 2020. SHiNeMaS: a web tool dedicated to seed lots history, phenotyping and cultural practices. Plant Methods, 16:98, 9 p.
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Published version
- Anglais
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Url - éditeur : https://rdcu.be/b70AW
Abstract : Motivation: In 2005, researchers from the French National Research Institute for Agriculture, Food and Environment (Institut national de recherche pour l'agriculture, l'alimentation et l'environnement, INRAE) started a collaboration with the French farmers' seed network Réseau Semences Paysannes (RSP) on bread wheat participatory breeding (PPB). The aims were: (1) to study on-farm management of crop diversity, (2) to develop population-varieties adapted to organic and low-inputs agriculture, (3) to co-develop tools and methods adapted to on-farm experiments. In this project, researchers and farmers' organizations needed to map the history and life cycle of the population-varieties using network formalism to represent relationships between seed lots. All this information had to be centralized and stored in a database. Results: We describe here SHiNeMaS (Seeds History and Network Management System) a web tool database. SHiNeMaS aims to provide useful interfaces to track seed lot history and related data (phenotyping, environment, cultural practices). Although SHiNeMaS has been developed in the context of a bread wheat participatory breeding program, the database has been designed to manage any kind and even multiple cultivated plant species. SHiNeMaS is available under Affero GPL licence and uses free technologies such as the Python language, Django framework or PostgreSQL database management system (DBMS). Conclusion: We developed SHiNeMaS, a web tool database, dedicated to the management of the history of seed lots and related data like phenotyping, environmental information and cultural practices. SHiNeMaS has been used in production in our laboratory for 5 years and farmers' organizations facilitators manage their own information in the system.
Mots-clés Agrovoc : Triticum, blé, Grain, Développement logiciel, Banque de données, Amélioration des plantes, Lignée, Ascendance`, Phénotype, Mode de culture
Mots-clés géographiques Agrovoc : France
Mots-clés libres : Database, Plant Breeding, Software
Classification Agris : F30 - Plant genetics and breeding
U10 - Mathematical and statistical methods
Champ stratégique Cirad : CTS 1 (2019-) - Biodiversité
Agence(s) de financement européenne(s) : European Commission
Programme de financement européen : H2020
Projet(s) de financement européen(s) : Embedding crop diversity and networking for local high quality food systems
Auteurs et affiliations
- De Oliveira Yannick, INRAE (FRA) - auteur correspondant
- Burlot Laura, Université Paris-Saclay (FRA)
- Dawson Julie C., University of Wisconsin (USA)
- Goldringer Isabelle, INRAE (FRA)
- Madi Darkawi, Université Paris-Saclay (FRA)
- Rivière Pierre, Réseau semences paysannes (FRA)
- Steinbach Delphine, INRAE (FRA)
- Van Frank Gaëlle, Université Paris-Saclay (FRA)
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Thomas Mathieu, CIRAD-BIOS-UMR AGAP (FRA)
ORCID: 0000-0001-5803-9547
Source : Cirad-Agritrop (https://agritrop.cirad.fr/596656/)
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