Research output per year
Research output per year
Project Details
Description
Plant breeding programmes are a complex network of a multitude of operations and decisions. Quantifying the drives of genetic change in such programmes is challenging. Traditionally we measure the genetic change with a phenotypic or genetic trend, but these measures only change the overall genetic mean. To understand the genetic change more comprehensively, we also need to measure the change in genetic variance and drives of mean and variance changes.
| Status | Active |
|---|---|
| Effective start/end date | 1/10/20 → 30/09/23 |
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Quantifying the Drivers of Genetic Change in Plant Breeding
De Paula Oliveira, T., Tolhurst, D., Pocrnic, I. & Gorjanc, G., 23 Sep 2022, (E-pub ahead of print). 1 p.Research output: Contribution to conference › Abstract › peer-review
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A method for partitioning trends in genetic mean and variance
De Paula Oliveira, T., Obsteter, J., Pocrnic, I. & Gorjanc, G., 18 Jul 2022. 6 p.Research output: Contribution to conference › Poster › peer-review
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A method for partitioning trends in genetic mean and variance to understand/improve breeding practices
De Paula Oliveira, T., Obsteter, J., Pocrnic, I. & Gorjanc, G., 3 Jul 2022.Research output: Contribution to conference › Paper
Open AccessFile
Activities
- 1 Oral presentation
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Quantifying the Drivers of Genetic Change in Plant Breeding
Thiago De Paula Oliveira (Speaker), Daniel Tolhurst (Contributor), Ivan Pocrnic (Contributor) & Gregor Gorjanc (Supervisor)
21 Sep 2022Activity: Academic talk or presentation types › Oral presentation