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2024 Conference Publication Prediction of non-additive genetic effects with hierarchical genomic prediction modelsPowell, Owen, McLean, Greg, Brider, Jason, Saddigh, Joe, Technow, Frank, Tang, Tom, Totir, Radu, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2024). Prediction of non-additive genetic effects with hierarchical genomic prediction models. International Conference of Quantitative Genetics (ICQG) 7, Vienna, Austria, 22-26 July 2024. doi: 10.6084/m9.figshare.26425735.v1 |
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2023 Conference Publication APSIM-WGP: a software platform to predict crop GxExM interactionsPowell, Owen, McLean, Greg, Brider, Jason, Hammer, Graeme and Cooper, Mark (2023). APSIM-WGP: a software platform to predict crop GxExM interactions. GxExM Symposium II, Gainesville, FL USA, 6-7 November 2023. |
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2023 Conference Publication Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic PredictionTomura, Shunichiro, Powell, Owen and Cooper, Mark (2023). Random Forest Importance Diagnostics can Capture Quantitative Genetic Properties of Markers for Genomic Prediction. International Congress of Genetics, Melbourne, VIC Australia, 16-21 July 2023. figShare. doi: 10.6084/m9.figshare.24211230.v1 |
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2023 Conference Publication GPU can Accelerate the Prediction of Complex PhenotypesTomura, Shunichiro, Powell, Owen and Cooper, Mark (2023). GPU can Accelerate the Prediction of Complex Phenotypes. Australasian Leadership Computing Symposium, Canberra, ACT Australia, 14-16 June 2023. doi: 10.6084/m9.figshare.24484831.v1 |
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2023 Conference Publication Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM InteractionsPowell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2023). Hierarchical Gene-Phenotype Maps as a Framework to Predict GxExM Interactions. Quantitative Genetics and Genomics Gordon Research Conference, Ventura, CA, United States, 12-17 February 2023. |
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2022 Conference Publication Integrating Hierarchical G2P Maps with Genomic PredictionPowell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Hammer, Graeme and Cooper, Mark (2022). Integrating Hierarchical G2P Maps with Genomic Prediction. Interdrought VII - The 7th Congress on plant production in water-limited environments, Dakar, Senegal, 1 December 2022. |
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2022 Conference Publication Utilising prior knowledge to improve breedingPowell, Owen, Barbier, Francois, Voss-Fels, Kai, Beveridge, Christine and Cooper, Mark (2022). Utilising prior knowledge to improve breeding. GxExM Symposium, Brisbane, QLD Australia, 3-4 November 2022. |
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2022 Conference Publication Transferring prediction models: from model organisms to cropsPowell, Owen, Barbier, Francois, Fichtner, Franziska, Sukumaran, Sivakumar, McLean, Greg, Brider, Jason, Technow, Frank, Tang, Tom, Messina, Carlos D., Jordan, David, Hammer, Graeme, Beveridge, Christine and Cooper, Mark (2022). Transferring prediction models: from model organisms to crops. TropAg International Agriculture Conference, Brisbane, QLD, Australia, 31 October - 2 November 2022. |
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2022 Conference Publication Prior knowledge-driven branching phenotype prediction for shoot architecture improvementWijerathna-Yapa, A., Fortuna, N., Cooper, M. and Beveridge, C. A. (2022). Prior knowledge-driven branching phenotype prediction for shoot architecture improvement. ComBio 2022, Melbourne Convention and Exhibition Centre (MCE), 27-30 September 2022. |
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2022 Conference Publication Increasing Predictive Ability for Crop Improvement: Linking Crop Growth Models with Whole Genome PredictionPowell, Owen, McLean, Greg, Brider, Jason, Technow, Frank, Sukumaran, Sivakumar, Jordan, David, Hammer, Graeme and Cooper, Mark (2022). Increasing Predictive Ability for Crop Improvement: Linking Crop Growth Models with Whole Genome Prediction. AuSoRGM, Toowoomba, QLD Australia, 18-19 August 2022. |
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2022 Conference Publication Prior Knowledge-driven Branching Phenotype Prediction for Shoot Architecture ImprovementWijerathna-Yapa, Akila, Fortuna, Nicole, Dun, Elizabeth, Lawson, Brodie, Cooper, Mark and Beveridge, Christine A. (2022). Prior Knowledge-driven Branching Phenotype Prediction for Shoot Architecture Improvement. ARC Centre of Excellence for Plant Success in Nature and Agriculture Research Retreat, Hobart, TAS Australia, 30 May - 1 June 2022. |
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2022 Conference Publication An Ecophysiology-Inspired Gene-Phenotype Map for BreedingPowell, Owen, Technow, Frank, Messina, Carlos D., McLean, Greg, Brider, Jason, Van Oosterom, Erik, Wu, Alex, Jordan, David, Hammer, Graeme and Cooper, Mark (2022). An Ecophysiology-Inspired Gene-Phenotype Map for Breeding. Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022. |
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2022 Conference Publication The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771)Lambrides, Christopher , Basford, Kaye , DeLacy, Ian , Cooper, Mark , Hardner, Craig , Godwin, Ian , Dieters, Mark and Arief, Vivi (2022). The pursuit of excellence; some reflections after 50+ years of plant breeding at The University of Queensland (9771). Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022. |
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2020 Conference Publication The impact of physiological non-additivity on variance components for complex traitsVoss-Fels, Kai, Powell, Owen, Jordan, David, Hammer, Graeme, Barbier, Francois, Werner, Christian, Hayes, Ben, Beveridge, Christine and Cooper, Mark (2020). The impact of physiological non-additivity on variance components for complex traits. The 6th International Conference on Quantitative Genetics, Brisbane, QLD Australia, 3-13 November 2020. |
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2019 Conference Publication Environmental characterization facilitate G × E interaction to highlight the role of stay-green traits for genetic gainAmin, Asad, Christopher, Jack, Ababaei, Behnam, Cooper, Mark, Hayes, Ben, Voss-Fels, Kai, Hickey, Lee and Chenu, Karine (2019). Environmental characterization facilitate G × E interaction to highlight the role of stay-green traits for genetic gain. Translational Photosynthesis Conference: Innovations in Agriculture for Food Security (ASPS 2019), Brisbane, QLD, Australia, 30 June - 3 July 2019. |
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2018 Conference Publication Leveraging biological insight and environmental variation to improve phenotypic prediction: integrating crop growth models (CGM) with whole genome prediction (WGP)Messina, C. D., Technow, F., Tang, T., Totir, R., Gho, C. and Cooper, M. (2018). Leveraging biological insight and environmental variation to improve phenotypic prediction: integrating crop growth models (CGM) with whole genome prediction (WGP). International Crop Modelling Symposium on Crop Modelling for Agriculture and Food Security under Global Change (iCropM), Berlin, Germany, 15-17 March 2016. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.eja.2018.01.007 |
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2014 Conference Publication Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to productCooper, Mark, Gho, Carla, Leafgren, Roger, Tang, Tom and Messina, Carlos (2014). Breeding drought-tolerant maize hybrids for the US corn-belt: discovery to product. 4th InterDrought Conference, Perth, Australia, 2-6 September 2013. Oxford, United Kingdom: Oxford University Press. doi: 10.1093/jxb/eru064 |
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2010 Conference Publication Indirect selection using reference genotype performance in a global spring wheat multi-environment trialMathews, Ky L., Trethowan, Richard, Milgate, Andrew, Payne, Thomas, van Ginkel, Maarten, Crossa, Jose, DeLacy, Ian H., Cooper, Mark and Chapman, Scott C. (2010). Indirect selection using reference genotype performance in a global spring wheat multi-environment trial. 8th International Wheat Conference, St Petersburg, Russia, 1-4 June 2010. St. Petersburg, Russia: N.I. Vavilov Research Institute of Plant Industry (VIR). |
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2004 Conference Publication Changes in pedigree backgrounds of pioneer brand maize hybrids widely grown from 1930 to 1999Smith, J. Stephen C., Duvick, Donald N., Smith, Oscar S., Cooper, Mark and Feng, Lizhi (2004). Changes in pedigree backgrounds of pioneer brand maize hybrids widely grown from 1930 to 1999. |
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2004 Conference Publication Improving drought tolerance in maize: a view from industryCampos, H., Cooper, M., Habben, J.E., Edmeades, G.O. and Schussler, J.R. (2004). Improving drought tolerance in maize: a view from industry. Annual Meeting of the Crop Science Society of America, Denver, Colorado, 2-6 November 2003 . Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.fcr.2004.07.003 |
