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Dr Owen Powell
Dr

Owen Powell

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Overview

Background

My research interests centre on using quantitative genetics to drive genetic gain and efficiency in plant and animal breeding programmes.

Previous work in the UK focused on using genomic information prediction to demonstrate and exploit synergies between plant and animal breeding. Stochastic simulations were used to quantify the impact of new genomic breeding strategies in a wide variety of settings; from low to middle-income (LMIC) dairy cattle breeding programs to large, well-funded maize breeding programs.

My work at QAAFI and the ARC Centre of Excellence for Plant Success in Nature & Agriculture focuses on the development of prediction methods that combine biological, environmental and management information under a unifying framework, to enhance our ability to identify breeding parents, varieties and genotype-by-agronomic management (GxM) solutions that are best suited for future climates.

GRDC Project Press Release

Availability

Dr Owen Powell is:
Available for supervision
Media expert

Qualifications

  • Bachelor (Honours) of Development Biology, University of Edinburgh
  • Masters (Research) of Science, University of Edinburgh
  • Doctor of Philosophy, University of Edinburgh

Research impacts

Dr Powell helps public and private genetic improvement programs to find better ways to predict the outcomes of selective breeding.

His core work focuses on developing, applying and optimising prediction methods to accelerate rates of sustainable genetic improvement.

Dr Powell is involved in the research and HDR student supervision on projects that span plant, animal and aquaculture species.

Works

Search Professor Owen Powell’s works on UQ eSpace

43 works between 2018 and 2025

41 - 43 of 43 works

2019

Conference Publication

Can genomic data enable genetic evaluation with phenotypes recorded on smallholder farms?

Powell, Owen, Jenko, Janez, Gorjanc, Gregor, Mrode, Raphael and Hickey, John M. (2019). Can genomic data enable genetic evaluation with phenotypes recorded on smallholder farms?. Interbull Bulletin, Auckland, New Zealand, 7-11 February 2018. Uppsala, Sweden: International Bull Evaluation Service.

Can genomic data enable genetic evaluation with phenotypes recorded on smallholder farms?

2018

Conference Publication

Can Genomics Enable Genetic Evaluations with Phenotypes Recorded on Smallholder Dairy Farms?

Powell, Owen, Jenko, Janez, Gaynor, Chris R., Banos, Georgios, Gorjanc, Gregor and Hickey, John (2018). Can Genomics Enable Genetic Evaluations with Phenotypes Recorded on Smallholder Dairy Farms?. Keystone Symposium, Kampala, Uganda, 25-29 November 2018.

Can Genomics Enable Genetic Evaluations with Phenotypes Recorded on Smallholder Dairy Farms?

2018

Conference Publication

Can genomics enable genetic evaluations with phenotypes recorded on smallholder dairy farms?

Powell, Owen, Jenko, Janez, Gaynor, Chris R., Banos, Georgios, Gorjanc, Gregor and Hickey, John (2018). Can genomics enable genetic evaluations with phenotypes recorded on smallholder dairy farms?. Big Data In Agriculture: DuPont Pioneer Symposia Series, Edinburgh, Scotland, United Kingdom, 14-15 May 2018.

Can genomics enable genetic evaluations with phenotypes recorded on smallholder dairy farms?

Funding

Past funding

  • 2023 - 2024
    ON the Pulse - benchmarking protein quality for chickpea
    UQ Knowledge Exchange & Translation Fund
    Open grant

Supervision

Availability

Dr Owen Powell is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Predicting Plant Success For Future Generations

    Principal Advisor

    Other advisors: Professor Mark Cooper

  • Doctor Philosophy

    New approaches to maximise gain and genetic diversity in plant breeding programs

    Associate Advisor

    Other advisors: Professor Ben Hayes

  • Doctor Philosophy

    Machine learning strategies to accelerate genetic gain in agricultural species

    Associate Advisor

    Other advisors: Dr Eric Dinglasan, Dr Elizabeth Ross, Professor Ben Hayes

  • Doctor Philosophy

    Assessment of machine learning methods to discover novel models of gene networks to improve genomic prediction for plant breeding

    Associate Advisor

    Other advisors: Dr James Lefevre, Dr Melanie Wilkinson, Professor Mark Cooper

  • Doctor Philosophy

    Genomic selection for finfish Breeding Programs

    Associate Advisor

    Other advisors: Professor Ben Hayes

  • Doctor Philosophy

    Experimental investigation in Arabidopsis thaliana of realised selection trajectories for complex branching and flowering traits under the control of gene networks following application of genomic prediction methods.

    Associate Advisor

    Other advisors: Professor Christine Beveridge, Professor Mark Cooper

Completed supervision

Media

Enquiries

Contact Dr Owen Powell directly for media enquiries about:

  • Computational Biology
  • Computer Simulations
  • Data Science
  • Genetics
  • Plant Breeding

Need help?

For help with finding experts, story ideas and media enquiries, contact our Media team:

communications@uq.edu.au