Literature DB >> 16219924

The International Rice Information System. A platform for meta-analysis of rice crop data.

Christopher Graham McLaren1, Richard M Bruskiewich, Arllet M Portugal, Alexander B Cosico.   

Abstract

Ambiguous germplasm identification; difficulty in tracing pedigree information; and lack of integration between genetic resources, characterization, breeding, evaluation, and utilization data are constraints in developing knowledge-intensive crop improvement programs. To address these constraints, the International Crop Information System (www.icis.cgiar.org), a database system for the management and integration of global information on genetic resources and crop improvement for any crop, was developed by genetic resource specialists, crop scientists, and information technicians associated with the Consultative Group for International Agricultural Research and collaborative partners. The International Rice Information System (www.iris.irri.org) is the rice (Oryza species) implementation of the International Crop Information System. New components are now being added to the International Rice Information System to handle the diversity of rice functional genomics data including genomic sequence data, molecular genetic data, expression data, and proteomic information. Users access information in the database through stand-alone programs and Web interfaces, which offer specialized applications and customized views to researchers with different interests.

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Mesh:

Year:  2005        PMID: 16219924      PMCID: PMC1255983          DOI: 10.1104/pp.105.063438

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  1 in total

1.  Linking genotype to phenotype: the International Rice Information System (IRIS).

Authors:  Richard M Bruskiewich; Alexander B Cosico; William Eusebio; Arllet M Portugal; Luralyn M Ramos; Ma Teresa Reyes; May Ann B Sallan; Victor Jun M Ulat; Xusheng Wang; Kenneth L McNally; Ruaraidh Sackville Hamilton; Christopher Graham McLaren
Journal:  Bioinformatics       Date:  2003       Impact factor: 6.937

  1 in total
  15 in total

1.  Multi-environment QTL mixed models for drought stress adaptation in wheat.

Authors:  Ky L Mathews; Marcos Malosetti; Scott Chapman; Lynne McIntyre; Matthew Reynolds; Ray Shorter; Fred van Eeuwijk
Journal:  Theor Appl Genet       Date:  2008-08-12       Impact factor: 5.699

2.  Predicting quantitative traits with regression models for dense molecular markers and pedigree.

Authors:  Gustavo de los Campos; Hugo Naya; Daniel Gianola; José Crossa; Andrés Legarra; Eduardo Manfredi; Kent Weigel; José Miguel Cotes
Journal:  Genetics       Date:  2009-03-16       Impact factor: 4.562

3.  Genomic-Enabled Prediction Based on Molecular Markers and Pedigree Using the Bayesian Linear Regression Package in R.

Authors:  Paulino Pérez; Gustavo de Los Campos; José Crossa; Daniel Gianola
Journal:  Plant Genome       Date:  2010       Impact factor: 4.089

4.  Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.

Authors:  José Crossa; Gustavo de Los Campos; Paulino Pérez; Daniel Gianola; Juan Burgueño; José Luis Araus; Dan Makumbi; Ravi P Singh; Susanne Dreisigacker; Jianbing Yan; Vivi Arief; Marianne Banziger; Hans-Joachim Braun
Journal:  Genetics       Date:  2010-09-02       Impact factor: 4.562

5.  Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.

Authors:  José Crossa; Juan Burgueño; Susanne Dreisigacker; Mateo Vargas; Sybil A Herrera-Foessel; Morten Lillemo; Ravi P Singh; Richard Trethowan; Marilyn Warburton; Jorge Franco; Matthew Reynolds; Jonathan H Crouch; Rodomiro Ortiz
Journal:  Genetics       Date:  2007-10-18       Impact factor: 4.562

6.  The generation challenge programme platform: semantic standards and workbench for crop science.

Authors:  Richard Bruskiewich; Martin Senger; Guy Davenport; Manuel Ruiz; Mathieu Rouard; Tom Hazekamp; Masaru Takeya; Koji Doi; Kouji Satoh; Marcos Costa; Reinhard Simon; Jayashree Balaji; Akinnola Akintunde; Ramil Mauleon; Samart Wanchana; Trushar Shah; Mylah Anacleto; Arllet Portugal; Victor Jun Ulat; Supat Thongjuea; Kyle Braak; Sebastian Ritter; Alexis Dereeper; Milko Skofic; Edwin Rojas; Natalia Martins; Georgios Pappas; Ryan Alamban; Roque Almodiel; Lord Hendrix Barboza; Jeffrey Detras; Kevin Manansala; Michael Jonathan Mendoza; Jeffrey Morales; Barry Peralta; Rowena Valerio; Yi Zhang; Sergio Gregorio; Joseph Hermocilla; Michael Echavez; Jan Michael Yap; Andrew Farmer; Gary Schiltz; Jennifer Lee; Terry Casstevens; Pankaj Jaiswal; Ayton Meintjes; Mark Wilkinson; Benjamin Good; James Wagner; Jane Morris; David Marshall; Anthony Collins; Shoshi Kikuchi; Thomas Metz; Graham McLaren; Theo van Hintum
Journal:  Int J Plant Genomics       Date:  2008

7.  Genomic history and ecology of the geographic spread of rice.

Authors:  Rafal M Gutaker; Simon C Groen; Emily S Bellis; Jae Y Choi; Inês S Pires; R Kyle Bocinsky; Emma R Slayton; Olivia Wilkins; Cristina C Castillo; Sónia Negrão; M Margarida Oliveira; Dorian Q Fuller; Jade A d'Alpoim Guedes; Jesse R Lasky; Michael D Purugganan
Journal:  Nat Plants       Date:  2020-05-15       Impact factor: 15.793

8.  Clever generation of rich SPARQL queries from annotated relational schema: application to Semantic Web Service creation for biological databases.

Authors:  Julien Wollbrett; Pierre Larmande; Frédéric de Lamotte; Manuel Ruiz
Journal:  BMC Bioinformatics       Date:  2013-04-15       Impact factor: 3.169

9.  The Plant Ontology Database: a community resource for plant structure and developmental stages controlled vocabulary and annotations.

Authors:  Shulamit Avraham; Chih-Wei Tung; Katica Ilic; Pankaj Jaiswal; Elizabeth A Kellogg; Susan McCouch; Anuradha Pujar; Leonore Reiser; Seung Y Rhee; Martin M Sachs; Mary Schaeffer; Lincoln Stein; Peter Stevens; Leszek Vincent; Felipe Zapata; Doreen Ware
Journal:  Nucleic Acids Res       Date:  2008-01       Impact factor: 16.971

10.  Rice molecular breeding laboratories in the genomics era: Current status and future considerations.

Authors:  Bert C Y Collard; Casiana M Vera Cruz; Kenneth L McNally; Parminder S Virk; David J Mackill
Journal:  Int J Plant Genomics       Date:  2008
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