Dataset
Minimising the impact of high temperature at flowering on spikelet fertility (phenotype datasets)
Murdoch University
15/03/2019–15/03/2019
DOI:
https://doi.org/10.60867/00000002
Abstract
The datasets containing multiple phenotypic traits collected in 2019 and 2020. These traits include spikelet fertility index, head length and awn length, head weight and seed weight, grain screening at different levels, grain length/width/thickness, thousand-kernel-weight, plant height, and flowering time. These are outputs of the GRDC-funded project Post-Doctoral Fellowship: Minimising the impact of high temperature at flowering on spikelet fertility aligned to Project UMU00049 (UMU1903-004RTX)
Details
- Title
- Minimising the impact of high temperature at flowering on spikelet fertility (phenotype datasets)
- Authors/Creators
- Camilla B Hill (Principal Investigator) - Murdoch University, Centre for Crop and Food InnovationChengdao Li (Contributor) - Murdoch University, Centre for Crop and Food InnovationHamid Shirdelmoghanloo (Contributor) - Department of Primary Industries and Regional DevelopmentKefei Chen (Contributor) - Curtin UniversityBlakely Paynter (Contributor) - Department of Primary Industries and Regional DevelopmentTefera T Angessa (Contributor) - Murdoch University, Centre for Crop and Food InnovationSharon Westcott (Contributor) - Department of Primary Industries and Regional DevelopmentHammad Khan (Contributor) - Department of Primary Industries and Regional DevelopmentPenghao 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
- Post-Doctoral Fellowship: Minimising the impact of high temperature at flowering on spikelet fertility aligned to Project UMU00049, UMU1903-004RTX, Grains Research and Development Corporation (Australia, Canberra) - GRDC
- Identifiers
- 991005566666507891
- Copyright
- © 2023 Murdoch University
- Murdoch Affiliation
- Centre for Crop and Food Innovation
- Language
- English
- Resource Type
- Dataset
Metrics
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