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2025 Journal Article Improved Genomic Prediction Performance with Ensembles of Diverse ModelsTomura, Shunichiro, Wilkinson, Melanie J., Cooper, Mark and Powell, Owen (2025). Improved Genomic Prediction Performance with Ensembles of Diverse Models. G3: Genes, Genomes, Genetics jkaf048, 1-15. doi: 10.1093/g3journal/jkaf048 |
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2024 Journal Article Potential approaches to create ultimate genotypes in crops and livestockHayes, Ben J., Mahony, Timothy J., Villiers, Kira, Warburton, Christie, Kemper, Kathryn E., Dinglasan, Eric, Robinson, Hannah, Powell, Owen, Voss-Fels, Kai, Godwin, Ian D. and Hickey, Lee T. (2024). Potential approaches to create ultimate genotypes in crops and livestock. Nature Genetics, 56 (11), 2310-2317. doi: 10.1038/s41588-024-01942-0 |
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2023 Journal Article Extending the breeder’s equation to take aim at the target population of environmentsCooper, Mark, Powell, Owen, Gho Brito, Carla, Tang, Tom and Messina, Carlos (2023). Extending the breeder’s equation to take aim at the target population of environments. Frontiers in Plant Science, 14 1129591, 1-10. doi: 10.3389/fpls.2023.1129591 |
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2022 Journal Article Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plantsPowell, Owen M., Barbier, Francois, Voss-Fels, Kai P., Beveridge, Christine and Cooper, Mark (2022). Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants. in silico Plants, 4 (1) diac006, 1-9. doi: 10.1093/insilicoplants/diac006 |
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2024 Journal Article Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approachesChen, Chensong, Bhuiyan, Shamsul A., Ross, Elizabeth, Powell, Owen, Dinglasan, Eric, Wei, Xianming, Atkin, Felicity, Deomano, Emily and Hayes, Ben (2024). Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches. Frontiers in Plant Science, 15 1398903, 1-13. doi: 10.3389/fpls.2024.1398903 |
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2024 Journal Article Adaptation and plasticity of yield in hybrid and inbred sorghumOtwani, Daniel, Hunt, Colleen, Cruickshank, Alan, Powell, Owen, Koltunow, Anna, Mace, Emma and Jordan, David (2024). Adaptation and plasticity of yield in hybrid and inbred sorghum. Crop Science, 64 (2), 560-570. doi: 10.1002/csc2.21160 |
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2023 Journal Article Use of continuous genotypes for genomic prediction in sugarcaneYadav, Seema, Ross, Elizabeth M., Wei, Xianming, Liu, Shouye, Nguyen, Loan To, Powell, Owen, Hickey, Lee T., Deomano, Emily, Atkin, Felicity, Voss‐Fels, Kai P. and Hayes, Ben J. (2023). Use of continuous genotypes for genomic prediction in sugarcane. The Plant Genome, 17 (1) e20417, e20417. doi: 10.1002/tpg2.20417 |
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2023 Journal Article Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategiesYadav, Seema, Ross, Elizabeth M., Wei, Xianming, Powell, Owen, Hivert, Valentin, Hickey, Lee T., Atkin, Felicity, Deomano, Emily, Aitken, Karen S., Voss-Fels, Kai P. and Hayes, Ben J. (2023). Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies. Frontiers in Plant Science, 14 1260517, 1260517. doi: 10.3389/fpls.2023.1260517 |
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2023 Journal Article Comparison of genomic prediction models for general combining ability in early stages of hybrid breeding programsde Jong, Guilherme, Powell, Owen, Gorjanc, Gregor, Hickey, John M. and Gaynor, R. Chris (2023). Comparison of genomic prediction models for general combining ability in early stages of hybrid breeding programs. Crop Science, 63 (6), 3338-3355. doi: 10.1002/csc2.21105 |
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2023 Journal Article Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traitsChen, Chensong, Powell, Owen, Dinglasan, Eric, Ross, Elizabeth M., Yadav, Seema, Wei, Xianming, Atkin, Felicity, Deomano, Emily and Hayes, Ben J. (2023). Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits. The Plant Genome, 16 (4) e20390, 1-13. doi: 10.1002/tpg2.20390 |
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2023 Journal Article Advancing artificial intelligence to help feed the worldHayes, Ben J., Chen, Chensong, Powell, Owen, Dinglasan, Eric, Villiers, Kira, Kemper, Kathryn E. and Hickey, Lee T. (2023). Advancing artificial intelligence to help feed the world. Nature Biotechnology, 41 (9), 1-2. doi: 10.1038/s41587-023-01898-2 |
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2022 Journal Article Genomic mate-allocation strategies exploiting additive and non-additive genetic effects to maximise total clonal performance in sugarcaneYadav, Seema, Ross, Elizabeth, Wei, Xianming, Powell, Owen, Hivert, Valentin, Hickey, Lee T., Atkin, Felicity, Deomano, Emily, Aitken, Karen S., Voss-Fels, Kai P. and Hayes, Ben J. (2022). Genomic mate-allocation strategies exploiting additive and non-additive genetic effects to maximise total clonal performance in sugarcane. |
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2022 Journal Article Crop improvement for circular bioeconomy systemsMessina, Carlos D., van Eeuwijk, Fred, Tang, Tom, Truong, Sandra K., McCormick, Ryan F., Technow, Frank, Powell, Owen, Mayor, Laura, Gutterson, Neal, Jones, James W., Hammer, Graeme and Cooper, Mark (2022). Crop improvement for circular bioeconomy systems. Journal of the ASABE, 65 (3), 491-504. doi: 10.13031/ja.14912 |
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2021 Journal Article A linkage disequilibrium-based approach to position unmapped SNPs in crop speciesYadav, Seema, Ross, Elizabeth M., Aitken, Karen S., Hickey, Lee T., Powell, Owen, Wei, Xianming, Voss-Fels, Kai P. and Hayes, Ben J. (2021). A linkage disequilibrium-based approach to position unmapped SNPs in crop species. BMC Genomics, 22 (1) 773, 1-9. doi: 10.1186/s12864-021-08116-w |
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2021 Journal Article Genomic evaluations using data recorded on smallholder dairy farms in low- to middle-income countriesOwen Powell, Raphael Mrode, R. Chris Gaynor, Martin Johnsson, Gregor Gorjanc and John M.Hickey (2021). Genomic evaluations using data recorded on smallholder dairy farms in low- to middle-income countries. JDS Communications, 2 (6), 366-370. doi: 10.3168/jdsc.2021-0092 |
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2021 Journal Article Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic predictionPowell, Owen M., Voss-Fels, Kai P., Jordan, David R., Hammer, Graeme and Cooper, Mark (2021). Perspectives on applications of hierarchical gene-to-phenotype (G2P) maps to capture non-stationary effects of alleles in genomic prediction. Frontiers in Plant Science, 12 663565, 663565. doi: 10.3389/fpls.2021.663565/full |
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2021 Journal Article Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functionsCooper, M., Powell, O., Voss-Fels, K. P., Messina, C. D., Gho, C., Podlich, D. W., Technow, F., Chapman, S. C., Beveridge, C. A., Ortiz-Barrientos, D. and Hammer, G. L. (2021). Modelling selection response in plant breeding programs using crop models as mechanistic gene-to-phenotype (CGM-G2P) multi-trait link functions. in silico Plants, 3 (1) diaa016, 1-21. doi: 10.1093/insilicoplants/diaa016 |
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2020 Journal Article Spatial modelling improves genetic evaluation in smallholder breeding programsSelle, Maria L., Steinsland, Ingelin, Powell, Owen, Hickey, John M. and Gorjanc, Gregor (2020). Spatial modelling improves genetic evaluation in smallholder breeding programs. Genetics Selection Evolution, 52 (1) 69. doi: 10.1186/s12711-020-00588-w |
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2020 Journal Article A two-part strategy using genomic selection in hybrid crop breeding programsPowell, Owen, Gaynor, R. Chris, Gorjanc, Gregor, Werner, Christian and Hickey, John (2020). A two-part strategy using genomic selection in hybrid crop breeding programs. |
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2020 Journal Article In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating cropCowling, Wallace A., Gaynor, R. Chris, Antolin, Roberto, Gorjanc, Gregor, Edwards, Stefan M., Powell, Owen and Hickey, John M. (2020). In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop. Scientific Reports, 10 (1) 4037. doi: 10.1038/s41598-020-61031-0 |
