Developing a nationally validated model to predict flowering time of wheat and barley
The GRDC national phenology initiative has been established to better predict flowering time of wheat and barley across the major cropping regions of Australia. A total of 64 wheat and 32 barley genotypes, selected for their diverse phenology, are being genotyped and phenotyped under different contr...
| Main Authors: | , , , , , , , , , , , , , , , , , , , |
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| Format: | Conference Paper |
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2020
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| Online Access: | https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2020/02/developing-a-nationally-validated-model-to-predict-flowering-time-of-wheat-and-barley http://hdl.handle.net/20.500.11937/83412 |
| _version_ | 1848764582382796800 |
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| author | Bloomfield, Maxwell Celestina, Corinne Hunt, James Wang, Enli Hyles, Jessica Zhao, Zhigan Huth, Neil Zheng, Bangyou Dillon, Shannon Harding, Carol Chapman, Scott Clancy, Loretta Rathjen, Tina Trevaskis, Ben Nicol, Dion Biddulph, Ben Harris, Felicity Porker, Kenton Brown, Hamish Stefanova, Katia |
| author_facet | Bloomfield, Maxwell Celestina, Corinne Hunt, James Wang, Enli Hyles, Jessica Zhao, Zhigan Huth, Neil Zheng, Bangyou Dillon, Shannon Harding, Carol Chapman, Scott Clancy, Loretta Rathjen, Tina Trevaskis, Ben Nicol, Dion Biddulph, Ben Harris, Felicity Porker, Kenton Brown, Hamish Stefanova, Katia |
| author_sort | Bloomfield, Maxwell |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The GRDC national phenology initiative has been established to better predict flowering time of wheat and barley across the major cropping regions of Australia. A total of 64 wheat and 32 barley genotypes, selected for their diverse phenology, are being genotyped and phenotyped under different controlled conditions to parameterise the model. The same genotypes are also being grown and phenotyped at five field sites (two × WA, SA, NSW, VIC) across eight times of sowing to validate the model. The initiative will deliver a web-based tool through the National Variety Trials (NVT) website where growers and advisors can plan cultivar × time of sowing decisions for their specific environments. This will become available in 2022, with new cultivars being added as they are released. |
| first_indexed | 2025-11-14T11:21:39Z |
| format | Conference Paper |
| id | curtin-20.500.11937-83412 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:21:39Z |
| publishDate | 2020 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-834122021-05-06T04:19:47Z Developing a nationally validated model to predict flowering time of wheat and barley Bloomfield, Maxwell Celestina, Corinne Hunt, James Wang, Enli Hyles, Jessica Zhao, Zhigan Huth, Neil Zheng, Bangyou Dillon, Shannon Harding, Carol Chapman, Scott Clancy, Loretta Rathjen, Tina Trevaskis, Ben Nicol, Dion Biddulph, Ben Harris, Felicity Porker, Kenton Brown, Hamish Stefanova, Katia The GRDC national phenology initiative has been established to better predict flowering time of wheat and barley across the major cropping regions of Australia. A total of 64 wheat and 32 barley genotypes, selected for their diverse phenology, are being genotyped and phenotyped under different controlled conditions to parameterise the model. The same genotypes are also being grown and phenotyped at five field sites (two × WA, SA, NSW, VIC) across eight times of sowing to validate the model. The initiative will deliver a web-based tool through the National Variety Trials (NVT) website where growers and advisors can plan cultivar × time of sowing decisions for their specific environments. This will become available in 2022, with new cultivars being added as they are released. 2020 Conference Paper http://hdl.handle.net/20.500.11937/83412 https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2020/02/developing-a-nationally-validated-model-to-predict-flowering-time-of-wheat-and-barley unknown |
| spellingShingle | Bloomfield, Maxwell Celestina, Corinne Hunt, James Wang, Enli Hyles, Jessica Zhao, Zhigan Huth, Neil Zheng, Bangyou Dillon, Shannon Harding, Carol Chapman, Scott Clancy, Loretta Rathjen, Tina Trevaskis, Ben Nicol, Dion Biddulph, Ben Harris, Felicity Porker, Kenton Brown, Hamish Stefanova, Katia Developing a nationally validated model to predict flowering time of wheat and barley |
| title | Developing a nationally validated model to predict
flowering time of wheat and barley |
| title_full | Developing a nationally validated model to predict
flowering time of wheat and barley |
| title_fullStr | Developing a nationally validated model to predict
flowering time of wheat and barley |
| title_full_unstemmed | Developing a nationally validated model to predict
flowering time of wheat and barley |
| title_short | Developing a nationally validated model to predict
flowering time of wheat and barley |
| title_sort | developing a nationally validated model to predict
flowering time of wheat and barley |
| url | https://grdc.com.au/resources-and-publications/grdc-update-papers/tab-content/grdc-update-papers/2020/02/developing-a-nationally-validated-model-to-predict-flowering-time-of-wheat-and-barley http://hdl.handle.net/20.500.11937/83412 |