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This archive contains phenotype datasets collected from the GRDC funded project UMU00047 Open Access CC BY V4.0
Dataset
Barley grain defects project (phenotype datasets)
Murdoch University
01/07/2015–30/06/2019
DOI:
https://doi.org/10.60867/00000004
Abstract
The datasets containing phenotypic data of over 70 traits related to grain quality during the period from 2012 to 2016 in Esperance, Katanning and Merredin. These datasets were outputs of the GRDC funded project UMU00047.
Details
- Title
- Barley grain defects project (phenotype datasets)
- Authors/Creators
- Chengdao Li (Principal Investigator) - Murdoch University, Centre for Crop and Food InnovationGlen Fox (Contributor) - University of California, DavisSue Broughton (Contributor) - Department of Primary Industries and Regional DevelopmentStefan Harasymow (Contributor) - Department of Primary Industries and Regional DevelopmentDean A Diepeveen (Contributor)LeeAnne McFawn (Contributor) - Department of Primary Industries and Regional DevelopmentHao Lou (Contributor) - Murdoch UniversityGarry Bloustein (Contributor) - Department of Agriculture and Fisheries, QueenslandPenghao Wang (Contributor) - Murdoch University, Centre for Crop and Food InnovationViet Dang (Data Manager) - Murdoch UniversityWestern Crop Genetics Alliance (Data Manager)
- Publisher
- Murdoch University
- Grants
- New grain defect project, UMU00047, Grains Research and Development Corporation (Australia, Canberra) - GRDC
- Identifiers
- 991005566667607891
- Copyright
- © 2023 Murdoch University
- Murdoch Affiliation
- Centre for Crop and Food Innovation
- Language
- English
- Resource Type
- Dataset
Metrics
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