G3: Genes, Genomes, Genetics (Apr 2022)

Breedbase: a digital ecosystem for modern plant breeding

  • Nicolas Morales,
  • Alex C Ogbonna,
  • Bryan J Ellerbrock,
  • Guillaume J Bauchet,
  • Titima Tantikanjana,
  • Isaak Y Tecle,
  • Adrian F Powell,
  • David Lyon,
  • Naama Menda,
  • Christiano C Simoes,
  • Surya Saha,
  • Prashant Hosmani,
  • Mirella Flores,
  • Naftali Panitz,
  • Ryan S Preble,
  • Afolabi Agbona,
  • Ismail Rabbi,
  • Peter Kulakow,
  • Prasad Peteti,
  • Robert Kawuki,
  • Williams Esuma,
  • Micheal Kanaabi,
  • Doreen M Chelangat,
  • Ezenwanyi Uba,
  • Adeyemi Olojede,
  • Joseph Onyeka,
  • Trushar Shah,
  • Margaret Karanja,
  • Chiedozie Egesi,
  • Hale Tufan,
  • Agre Paterne,
  • Asrat Asfaw,
  • Jean-Luc Jannink,
  • Marnin Wolfe,
  • Clay L Birkett,
  • David J Waring,
  • Jenna M Hershberger,
  • Michael A Gore,
  • Kelly R Robbins,
  • Trevor Rife,
  • Chaney Courtney,
  • Jesse Poland,
  • Elizabeth Arnaud,
  • Marie-Angélique Laporte,
  • Heneriko Kulembeka,
  • Kasele Salum,
  • Emmanuel Mrema,
  • Allan Brown,
  • Stanley Bayo,
  • Brigitte Uwimana,
  • Violet Akech,
  • Craig Yencho,
  • Bert de Boeck,
  • Hugo Campos,
  • Rony Swennen,
  • Jeremy D Edwards,
  • Lukas A Mueller

DOI
https://doi.org/10.1093/g3journal/jkac078
Journal volume & issue
Vol. 12, no. 7

Abstract

Read online

AbstractModern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-driven approach hinges on strong foundations in data management, quality control, and analytics. Of crucial importance is a central database able to (1) track breeding materials, (2) store experimental evaluations, (3) record phenotypic measurements using consistent ontologies, (4) store genotypic information, and (5) implement algorithms for analysis, prediction, and selection decisions. Because of the complexity of the breeding process, breeding databases also tend to be complex, difficult, and expensive to implement and maintain. Here, we present a breeding database system, Breedbase (https://breedbase.org/, last accessed 4/18/2022https://cassavabase.org/https://www.nextgencassava.org/https://github.com/solgenomics/https://hub.docker.com/u/breedbase