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UMU00050_Phenotype_1173.33 kB
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Dataset
Manipulating barley phenology to maximise yield potential (phenotype datasets)
Murdoch University
30/06/2014–01/01/2023
DOI:
https://doi.org/10.60867/00000003
Abstract
Phenotype datasets collected from 823 barley accessions; grown in Perth, Geraldton, Katanning, Merredin and Esperance from 2014 to 2016. This dataset is an output of the GRDC-funded project Manipulating barley phenology to maximise yield potential (UMU00050).
Details
- Title
- Manipulating barley phenology to maximise yield potential (phenotype datasets)
- Authors/Creators
- Chengdao Li (Principal Investigator) - Murdoch University, Centre for Crop and Food InnovationCamilla B Hill (Contributor) - Murdoch University, Centre for Crop and Food InnovationTefera T Angessa (Contributor) - Murdoch University, Centre for Crop and Food InnovationSteve Brown (Contributor) - Department of Primary Industries and Regional DevelopmentSue Broughton (Contributor) - Department of Primary Industries and Regional DevelopmentXiao-Qi Zhang (Contributor) - Murdoch University, Centre for Crop and Food InnovationReg Lance (Contributor) - InterGrainHaden Kuchel (Contributor) - Australian Grain TechnologiesDavid Moody (Contributor) - InterGrainPaul Telfer (Contributor) - Australian Grain TechnologiesJason Reinheimer (Contributor) - Limagrain Field SeedsJason Eglington (Project Member) - Sugar Research AustraliaPenghao Wang (Data Manager) - Murdoch University, Centre for Crop and Food InnovationViet Dang (Data Manager) - Murdoch UniversityWestern Crop Genetics Alliance (Data Manager)
- Publisher
- Murdoch University
- Grants
- Manipulating barley phenology to maximise yield potential, UMU00050, Grains Research and Development Corporation (Australia, Canberra) - GRDC
- Identifiers
- 991005566370107891
- Copyright
- © 2023 Murdoch University
- Murdoch Affiliation
- Centre for Crop and Food Innovation
- Language
- English
- Resource Type
- Dataset
Metrics
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