Literature DB >> 27898834

The Triticeae Toolbox: Combining Phenotype and Genotype Data to Advance Small-Grains Breeding.

Victoria C Blake, Clay Birkett, David E Matthews, David L Hane, Peter Bradbury, Jean-Luc Jannink.   

Abstract

The Triticeae Toolbox (; T3) is the database schema enabling plant breeders and researchers to combine, visualize, and interrogate the wealth of phenotype and genotype data generated by the Triticeae Coordinated Agricultural Project (TCAP). T3 enables users to define specific data sets for download in formats compatible with the external tools TASSEL, Flapjack, and R; or to use by software residing on the T3 server for operations such as Genome Wide Association and Genomic Prediction. New T3 tools to assist plant breeders include a Selection Index Generator, analytical tools to compare phenotype trials using common or user-defined indices, and a histogram generator for nursery reports, with applications using the Android OS, and a Field Plot Layout Designer in development. Researchers using T3 will soon enjoy the ability to design training sets, define core germplasm sets, and perform multivariate analysis. An increased collaboration with GrainGenes and integration with the small grains reference sequence resources will place T3 in a pivotal role for on-the-fly data analysis, with instant access to the knowledge databases for wheat and barley. T3 software is available under the GNU General Public License and is freely downloadable.
Copyright © 2016 Crop Science Society of America.

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Year:  2016        PMID: 27898834     DOI: 10.3835/plantgenome2014.12.0099

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  32 in total

1.  GrainGenes: centralized small grain resources and digital platform for geneticists and breeders.

Authors:  Victoria C Blake; Margaret R Woodhouse; Gerard R Lazo; Sarah G Odell; Charlene P Wight; Nicholas A Tinker; Yi Wang; Yong Q Gu; Clay L Birkett; Jean-Luc Jannink; Dave E Matthews; David L Hane; Steve L Michel; Eric Yao; Taner Z Sen
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

2.  Genome-wide association mapping identifies common bunt (Tilletia caries) resistance loci in bread wheat (Triticum aestivum) accessions of the USDA National Small Grains Collection.

Authors:  Magdalena Ehn; Sebastian Michel; Laura Morales; Tyler Gordon; Hermann Gregor Dallinger; Hermann Buerstmayr
Journal:  Theor Appl Genet       Date:  2022-07-27       Impact factor: 5.574

3.  GrainGenes: a data-rich repository for small grains genetics and genomics.

Authors:  Eric Yao; Victoria C Blake; Laurel Cooper; Charlene P Wight; Steve Michel; H Busra Cagirici; Gerard R Lazo; Clay L Birkett; David J Waring; Jean-Luc Jannink; Ian Holmes; Amanda J Waters; David P Eickholt; Taner Z Sen
Journal:  Database (Oxford)       Date:  2022-05-25       Impact factor: 4.462

4.  Reliable DNA Markers for a Previously Unidentified, Yet Broadly Deployed Hessian Fly Resistance Gene on Chromosome 6B in Pacific Northwest Spring Wheat Varieties.

Authors:  Samuel Prather; Tavin Schneider; Jayfred Gaham Godoy; Steven Odubiyi; Nilsa A Bosque-Perez; Arash Rashed; Sheri Rynearson; Michael O Pumphrey
Journal:  Front Plant Sci       Date:  2022-06-13       Impact factor: 6.627

Review 5.  From markers to genome-based breeding in wheat.

Authors:  Awais Rasheed; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2019-01-23       Impact factor: 5.699

Review 6.  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

7.  Using precision phenotyping to inform de novo domestication.

Authors:  Alisdair R Fernie; Saleh Alseekh; Jie Liu; Jianbing Yan
Journal:  Plant Physiol       Date:  2021-07-06       Impact factor: 8.340

8.  Identification of Main-Effect and Environmental Interaction QTL and Their Candidate Genes for Drought Tolerance in a Wheat RIL Population Between Two Elite Spring Cultivars.

Authors:  S M Hisam Al Rabbi; Ajay Kumar; Sepehr Mohajeri Naraghi; Suraj Sapkota; Mohammed S Alamri; Elias M Elias; Shahryar Kianian; Raed Seetan; Ali Missaoui; Shyam Solanki; Mohamed Mergoum
Journal:  Front Genet       Date:  2021-06-17       Impact factor: 4.599

9.  A roadmap for gene functional characterisation in crops with large genomes: Lessons from polyploid wheat.

Authors:  Nikolai M Adamski; Philippa Borrill; Jemima Brinton; Sophie A Harrington; Clémence Marchal; Alison R Bentley; William D Bovill; Luigi Cattivelli; James Cockram; Bruno Contreras-Moreira; Brett Ford; Sreya Ghosh; Wendy Harwood; Keywan Hassani-Pak; Sadiye Hayta; Lee T Hickey; Kostya Kanyuka; Julie King; Marco Maccaferrri; Guy Naamati; Curtis J Pozniak; Ricardo H Ramirez-Gonzalez; Carolina Sansaloni; Ben Trevaskis; Luzie U Wingen; Brande Bh Wulff; Cristobal Uauy
Journal:  Elife       Date:  2020-03-24       Impact factor: 8.140

10.  Targeted recombination to increase genetic gain in self-pollinated species.

Authors:  Sushan Ru; Rex Bernardo
Journal:  Theor Appl Genet       Date:  2018-10-30       Impact factor: 5.699

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