Literature DB >> 29659709

Progress in single-access information systems for wheat and rice crop improvement.

Armin Scheben1, Chon-Kit Kenneth Chan1, Locedie Mansueto2, Ramil Mauleon2, Pierre Larmande3, Nickolai Alexandrov2, Rod A Wing4, Kenneth L McNally2, Hadi Quesneville5, David Edwards1.   

Abstract

Improving productivity of the staple crops wheat and rice is essential to feed the growing global population, particularly in the context of a changing climate. However, current rates of yield gain are insufficient to support the predicted population growth. New approaches are required to accelerate the breeding process, and many of these are driven by the application of large-scale crop data. To leverage the substantial volumes and types of data that can be applied for precision breeding, the wheat and rice research communities are working towards the development of integrated systems to access and standardize the dispersed, heterogeneous available data. Here, we outline the initiatives of the International Wheat Information System (WheatIS) and the International Rice Informatics Consortium (IRIC) to establish Web-based single-access systems and data mining tools to make the available resources more accessible, drive discovery and accelerate the production of new crop varieties. We discuss the progress of WheatIS and IRIC towards unifying specialized wheat and rice databases and building custom software platforms to manage and interrogate these data. Single-access crop information systems will strengthen scientific collaboration, optimize the use of public research funds and help achieve the required yield gains in the two most important global food crops.
© The Author(s) 2018. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Web server; database; genomics; interoperability; rice; wheat

Mesh:

Year:  2019        PMID: 29659709     DOI: 10.1093/bib/bby016

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  3 in total

Review 1.  Crop breeding for a changing climate: integrating phenomics and genomics with bioinformatics.

Authors:  Jacob I Marsh; Haifei Hu; Mitchell Gill; Jacqueline Batley; David Edwards
Journal:  Theor Appl Genet       Date:  2021-04-14       Impact factor: 5.699

2.  Building a successful international research community through data sharing: The case of the Wheat Information System (WheatIS).

Authors:  Taner Z Sen; Mario Caccamo; David Edwards; Hadi Quesneville
Journal:  F1000Res       Date:  2020-06-05

3.  Bottlenecks for genome-edited crops on the road from lab to farm.

Authors:  Armin Scheben; David Edwards
Journal:  Genome Biol       Date:  2018-10-26       Impact factor: 13.583

  3 in total

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