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2024 Journal Article Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistanceTong, Jingyang, Tarekegn, Zerihun T., Jambuthenne, Dilani, Alahmad, Samir, Periyannan, Sambasivam, Hickey, Lee, Dinglasan, Eric and Hayes, Ben (2024). Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance. Theoretical and Applied Genetics, 137 (12) 274, 1-15. doi: 10.1007/s00122-024-04784-w |
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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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2024 Conference Publication Genotype x environment interactions affecting flowering time and flowering duration in mungbeanDudley, Caitlin, Van Haeften, Shanice, Dun, Elizabeth, Alahmad, Samir, Dinglasan, Eric, Massel, Karen, Udvardi, Michael, Beveridge, Christine, Robinson, Hannah, Hickey, Lee and Smith, Millicent (2024). Genotype x environment interactions affecting flowering time and flowering duration in mungbean. 11th International Conference on Legume Genetics and Genomics, Brisbane, QLD, Australia, 30 September-3 October 2024. |
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2024 Conference Publication Opportunities to improve grain legumes for future climatesSmith, Millicent, Dudley, Caitlin, Van Haeften, Shanice, Alahmad, Samir, Dinglasan, Eric, Robinson, Hannah, Beveridge, Christine, Udvardi, Michael, Noble, Thomas, Massel, Karen, Dun, Elizabeth and Hickey, Lee (2024). Opportunities to improve grain legumes for future climates. 11th International Conference on Legume Genetics and Genomics, Brisbane, QLD, Australia, 30 September-3 October 2024. |
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2024 Journal Article Mapping quantitative trait loci for seminal root angle in a selected durum wheat populationKang, Yichen, Alahmad, Samir, Haeften, Shanice V., Akinlade, Oluwaseun, Tong, Jingyang, Dinglasan, Eric, Voss‐Fels, Kai P., Potgieter, Andries B., Borrell, Andrew K., Makhoul, Manar, Obermeier, Christian, Snowdon, Rod, Mace, Emma, Jordan, David R. and Hickey, Lee T. (2024). Mapping quantitative trait loci for seminal root angle in a selected durum wheat population. The Plant Genome, 18 (1) e20490, e20490. doi: 10.1002/tpg2.20490 |
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2024 Journal Article Genome-wide atlas of rust resistance loci in wheatTong, Jingyang, Zhao, Cong, Liu, Dan, Jambuthenne, Dilani T., Sun, Mengjing, Dinglasan, Eric, Periyannan, Sambasivam K., Hickey, Lee T. and Hayes, Ben J. (2024). Genome-wide atlas of rust resistance loci in wheat. Theoretical and Applied Genetics, 137 (8) 179, 1-16. doi: 10.1007/s00122-024-04689-8 |
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2024 Journal Article Evolutionary computing to assemble standing genetic diversity and achieve long‐term genetic gainVilliers, Kira, Voss‐Fels, Kai P., Dinglasan, Eric, Jacobs, Bertus, Hickey, Lee and Hayes, Ben J. (2024). Evolutionary computing to assemble standing genetic diversity and achieve long‐term genetic gain. The Plant Genome, 17 (2) e20467, e20467. doi: 10.1002/tpg2.20467 |
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2024 Journal Article Characterizing stay-green in barley across diverse environments: unveiling novel haplotypesBrunner, Stephanie M., Dinglasan, Eric, Baraibar, Silvina, Alahmad, Samir, Katsikis, Christina, van der Meer, Sarah, Godoy, Jayfred, Moody, David, Smith, Millicent, Hickey, Lee and Robinson, Hannah (2024). Characterizing stay-green in barley across diverse environments: unveiling novel haplotypes. Theoretical and Applied Genetics, 137 (6) 120, 120. doi: 10.1007/s00122-024-04612-1 |
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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 Conference Publication Physiological insight to improve mungbean productivitySmith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Dinglasan, Eric, Hayes, Ben, Robinson, Hannah, Nair, Ramakrishnan and Hickey, Lee (2024). Physiological insight to improve mungbean productivity. International Mungbean Congress, Bangkok, Thailand, 5-7 March 2024. |
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2024 Journal Article Fusarium wilt constrains mungbean yield due to reduction in source availabilityVan Haeften, Shanice, Kang, Yichen, Dudley, Caitlin, Potgieter, Andries, Robinson, Hannah, Dinglasan, Eric, Wenham, Kylie, Noble, Thomas, Kelly, Lisa, Douglas, Colin A, Hickey, Lee and Smith, Millicent R (2024). Fusarium wilt constrains mungbean yield due to reduction in source availability. AoB Plants, 16 (2) plae021, plae021. doi: 10.1093/aobpla/plae021 |
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2024 Conference Publication Opportunities to improve pulse crops for sustainable farming systemsSmith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Dinglasan, Eric, Hayes, Ben, Robinson, Hannah, Nair, Ramakrishnan and Hickey, Lee (2024). Opportunities to improve pulse crops for sustainable farming systems. Plant and Animal Genome Conference, San Diego, CA, United States, 12-17 January 2024. |
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2023 Conference Publication Physiological insight and selection tools to support pulse crop improvementSmith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Dinglasan, Eric, Robinson, Hannah, Chapman, Scott, Potgieter, Andries, Hayes, Ben and Hickey, Lee (2023). Physiological insight and selection tools to support pulse crop improvement. Plant and Animal Genome Conference, Australia, Perth, WA, Australia, 20-22 September 2023. |
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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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2023 Conference Publication Physiological insight to improve mungbean productivitySmith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Kohl, Theresa, Douglas, Colin, Ryan, Merrill, Potgieter, Andries, Chapman, Scott, Robinson, Hannah, Dinglasan, Eric and Hickey, Lee (2023). Physiological insight to improve mungbean productivity. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023. |
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2022 Journal Article A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheatAlahmad, Samir, Kang, Yichen, Dinglasan, Eric, Jambuthenne, Dilani, Robinson, Hannah, Tao, Yongfu, Able, Jason A., Christopher, Jack, Voss-Fels, Kai P., Bassi, Filippo M. and Hickey, Lee T. (2022). A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat. Genetic Resources and Crop Evolution, 70 (5), 1471-1485. doi: 10.1007/s10722-022-01515-2 |
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2022 Conference Publication Haplotype-based GWAS and genomic prediction as a path to increase genetic gain in chickpeaAkinlade, Oluwaseun, Voss-Fels, Kai, Dinglasan, Eric, Robinson, Hannah, Smith, Millicent, Varshney, Rajeev and Hickey, Lee (2022). Haplotype-based GWAS and genomic prediction as a path to increase genetic gain in chickpea. TropAg International Agriculture Conference, Brisbane, QLD Australia, 31 October-2 November 2022. |
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2022 Conference Publication Haplotype-based GWAS and genomic prediction: path to increase genetic gain in chickpeaAkinlade, Oluwaseun, Dinglasan, Eric, Voss-Fels, Kai, Robinson, Hannah, Varshney, Rajeev, Smith, Millicent and Hickey, Lee (2022). Haplotype-based GWAS and genomic prediction: path to increase genetic gain in chickpea. 8th Plant Genomics and Gene Editing Congress: Asia, Kuala Lumpur, Malaysia, 12-13 October 2022. |
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2022 Journal Article genomicSimulation: fast R functions for stochastic simulation of breeding programsVilliers, Kira, Dinglasan, Eric, Hayes, Ben J and Voss-Fels, Kai P (2022). genomicSimulation: fast R functions for stochastic simulation of breeding programs. G3 Genes|Genomes|Genetics, 12 (10) jkac216, 1-6. doi: 10.1093/g3journal/jkac216 |
