Plant Genomics Sequence Data

Henry, Robert (2014): Plant Genomics Sequence Data. The University of Queensand. Dataset.

 
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Project name Plant Genomics Sequence Data
Project description
This is part of an ARC Linkage research project on wheat genomics. The ARC Linkage Project (LP0990718) was entitled 'Using cutting edge genomic tools to dissect the molecular control of hybrid vigour in cereals'.

Grant summary: 'Hybrid cereals grow in a wide range of environments, require less water and produce more grain from less land. This project will generate an enhanced capacity to rapidly develop new hybrid cereal varieties. The Australian community will benefit by having enhanced food security using less water and less land. The Australian community will also benefit because land and water will be released to the environment, or to support other industries and their communities, or to grow other crops. The wide environmental adaptation of these hybrid cereals will allow the Australian community to respond flexibly to adverse climatic changes.'

Funding was also obtained from the RIRDC Wild Rice Project PRJ-007778. Details here: http://www.rirdc.gov.au/research-project-details/custr10_NPP/PRJ-007778
Contact name Robert Henry
Contact email robert.henry@uq.edu.au
Creator name Henry, Robert
Creator(s) role Chief Investigator
Dataset name Plant Genomics Sequence Data
Dataset description
The collection comprises transcriptome, amplicon and genomics data generated for various plant species using next generation sequencing tools. The data in this collection is an outcome from various current and past research projects, and is an important collection of genetic data for various plant species. The data provides an important insight into the genes and various snapshots of how genes behave. This data could be used for research on conservation, phylogeny, and identification of crucial genes for use in plant breeding. The data was generated from plant species important to Australia for food and fuel use, for use in conservation, and in increasing productivity via breeding. Species included are rice, macadamia, wheat, eucalypt, and sugarcane.
Access conditions Mediated Access
ANZSRC Field of Research (FoR) Code 060409 Molecular Evolution
060405 Gene Expression (incl. Microarray and other genome-wide approaches)
060408 Genomics
070305 Crop and Pasture Improvement (Selection and Breeding)
Grant ID http://purl.org/au-research/grants/arc/LP0990718
Type of data Fast Q
Excel
Word
Data Volume Currently 57 TB - expected total 125 TB
Language eng
Keyword Plant genomics
Next generation sequencing
Plant species
Wheat
Rice
Macadamia
Sugarcane
Eucalypts
Plant breeding
Cereal crops
Hybrid cereals
Collection type Dataset
Publisher The University of Queensand
Publication Year 2014
Copyright notice 2014, The University of Queensland.
Additional Notes https://services.qriscloud.org.au/access/9b36d67ea3704add99dd047043b201b0/user

 
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Created: Tue, 18 Mar 2014, 09:16:22 EST by Belinda Weaver