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Dr Eric Dinglasan
Dr

Eric Dinglasan

Email: 

Overview

Availability

Dr Eric Dinglasan is:
Available for supervision

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Quantitative Genetics

  • Plant Breeding

  • Plant Pathology

  • Plant Biotechnology

Research impacts

Currently involved in the projects aiming to improve genetic potential of wheat and barley

Project information can be found here:

https://grdc.com.au/news-and-media/audio/podcast/barley-foliar-pathogens-the-global-search-for-resistance-part-2

https://researchers.uq.edu.au/research-project/32978

https://qaafi.uq.edu.au/article/2018/11/could-ai-deliver-next-wheat-breakthrough

Works

Search Professor Eric Dinglasan’s works on UQ eSpace

60 works between 2016 and 2026

21 - 40 of 60 works

2024

Journal Article

Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance

Tong, 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

Stacking beneficial haplotypes from the Vavilov wheat collection to accelerate breeding for multiple disease resistance

2024

Journal Article

Potential approaches to create ultimate genotypes in crops and livestock

Hayes, 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

Potential approaches to create ultimate genotypes in crops and livestock

2024

Conference Publication

Genotype x environment interactions affecting flowering time and flowering duration in mungbean

Dudley, 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.

Genotype x environment interactions affecting flowering time and flowering duration in mungbean

2024

Conference Publication

Opportunities to improve grain legumes for future climates

Smith, 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.

Opportunities to improve grain legumes for future climates

2024

Journal Article

Mapping quantitative trait loci for seminal root angle in a selected durum wheat population

Kang, 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

Mapping quantitative trait loci for seminal root angle in a selected durum wheat population

2024

Journal Article

Genome-wide atlas of rust resistance loci in wheat

Tong, 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

Genome-wide atlas of rust resistance loci in wheat

2024

Journal Article

Evolutionary computing to assemble standing genetic diversity and achieve long‐term genetic gain

Villiers, 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

Evolutionary computing to assemble standing genetic diversity and achieve long‐term genetic gain

2024

Journal Article

Characterizing stay-green in barley across diverse environments: unveiling novel haplotypes

Brunner, 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

Characterizing stay-green in barley across diverse environments: unveiling novel haplotypes

2024

Journal Article

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches

Chen, 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

Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches

2024

Conference Publication

Physiological insight to improve mungbean productivity

Smith, 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.

Physiological insight to improve mungbean productivity

2024

Journal Article

Fusarium wilt constrains mungbean yield due to reduction in source availability

Van 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

Fusarium wilt constrains mungbean yield due to reduction in source availability

2024

Conference Publication

Opportunities to improve pulse crops for sustainable farming systems

Smith, 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.

Opportunities to improve pulse crops for sustainable farming systems

2023

Conference Publication

Physiological insight and selection tools to support pulse crop improvement

Smith, 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.

Physiological insight and selection tools to support pulse crop improvement

2023

Journal Article

Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits

Chen, 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

Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits

2023

Journal Article

Advancing artificial intelligence to help feed the world

Hayes, 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

Advancing artificial intelligence to help feed the world

2023

Conference Publication

Physiological insight to improve mungbean productivity

Smith, 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.

Physiological insight to improve mungbean productivity

2022

Journal Article

A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat

Alahmad, 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

A multi-reference parent nested-association mapping population to dissect the genetics of quantitative traits in durum wheat

2022

Conference Publication

Haplotype-based GWAS and genomic prediction as a path to increase genetic gain in chickpea

Akinlade, 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.

Haplotype-based GWAS and genomic prediction as a path to increase genetic gain in chickpea

2022

Conference Publication

Haplotype-based GWAS and genomic prediction: path to increase genetic gain in chickpea

Akinlade, 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.

Haplotype-based GWAS and genomic prediction: path to increase genetic gain in chickpea

2022

Journal Article

genomicSimulation: fast R functions for stochastic simulation of breeding programs

Villiers, 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

genomicSimulation: fast R functions for stochastic simulation of breeding programs

Funding

Current funding

  • 2026 - 2030
    Applying modern tools to enhance precision and speed of dryland crops breeding
    Novo Nordisk Foundation
    Open grant
  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    Open grant
  • 2024 - 2028
    Program 2 - Resistance Sources: Using 'FastStack' to develop effective durable net blotch resistance gene stacks
    Grains Research & Development Corporation
    Open grant
  • 2024 - 2028
    Genetic initiative to transform symbiotic nitrogen fixation in Australian pulse crops
    PROC-9176963 Genetic initiative to transform symbiotic nitrogen fixation in Australian pulse crops
    Open grant
  • 2024 - 2028
    Fast tracking deployment of chickpea heat tolerance
    GRDC - PROC-9176886 - Fast tracking deployment of chickpea heat tolerance to develop chickpea varieties with improved high temperature tolerance
    Open grant
  • 2023 - 2028
    Effective virus management in grain crops
    GRDC - PROC-9176724 - Effective virus management in grain crops
    Open grant

Past funding

  • 2023 - 2024
    Genomic prediction of ratoon yield robustness
    Sugar Research Australia Limited
    Open grant
  • 2020 - 2024
    Screening of diverse barley germplasm for rapid discovery and utilisation of novel disease resistance in barley using R-HapSelect : A haplotype-based toolkit
    Grains Research & Development Corporation
    Open grant

Supervision

Availability

Dr Eric Dinglasan is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

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communications@uq.edu.au