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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

31 works between 2016 and 2024

1 - 20 of 31 works

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

Featured

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. doi: 10.3389/fpls.2024.1398903

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

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

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

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

2022

Journal Article

Harnessing adult-plant resistance genes to deploy durable disease resistance in crops

Dinglasan, Eric, Periyannan, Sambasivam and Hickey, Lee T. (2022). Harnessing adult-plant resistance genes to deploy durable disease resistance in crops. Essays in Biochemistry, 66 (5), 571-580. doi: 10.1042/ebc20210096

Harnessing adult-plant resistance genes to deploy durable disease resistance in crops

2022

Journal Article

Speed vernalization to accelerate generation advance in winter cereal crops

Cha, Jin-Kyung, O’Connor, Kathryn, Alahmad, Samir, Lee, Jong-Hee, Dinglasan, Eric, Park, Hyeonjin, Lee, So-Myeong, Hirsz, Dominique, Kwon, Soon-Wook, Kwon, Youngho, Kim, Kyeong-Min, Ko, Jong-Min, Hickey, Lee T., Shin, Dongjin and Dixon, Laura E. (2022). Speed vernalization to accelerate generation advance in winter cereal crops. Molecular Plant, 15 (8), 1300-1309. doi: 10.1016/j.molp.2022.06.012

Speed vernalization to accelerate generation advance in winter cereal crops

2022

Conference Publication

Evaluating genomic prediction models for key traits using a chickpea MAGIC population

Akinlade, Oluwaseun, Voss-Fels, Kai, Dinglasan, Eric, Robinson, Hannah, Smith, Millicent, Varshney, Rajeev and Hickey, Lee (2022). Evaluating genomic prediction models for key traits using a chickpea MAGIC population. Queensland Legume Symposium, Brisbane, QLD Australia, 22 July 2022.

Evaluating genomic prediction models for key traits using a chickpea MAGIC population

2022

Journal Article

Effect of Drought and Low P on Yield and Nutritional Content in Common Bean

Smith, Millicent R., Dinglasan, Eric, Veneklaas, Erik, Polania, Jose, Rao, Idupulapati M., Beebe, Stephen E. and Merchant, Andrew (2022). Effect of Drought and Low P on Yield and Nutritional Content in Common Bean. Frontiers in Plant Science, 13 814325, 1-14. doi: 10.3389/fpls.2022.814325

Effect of Drought and Low P on Yield and Nutritional Content in Common Bean

2022

Journal Article

Mining the Vavilov wheat diversity panel for new sources of adult plant resistance to stripe rust

Jambuthenne, Dilani T., Riaz, Adnan, Athiyannan, Naveenkumar, Alahmad, Samir, Ng, Wei Ling, Ziems, Laura, Afanasenko, Olga, Periyannan, Sambasivam K., Aitken, Elizabeth, Platz, Greg, Godwin, Ian, Voss-Fels, Kai P., Dinglasan, Eric and Hickey, Lee T. (2022). Mining the Vavilov wheat diversity panel for new sources of adult plant resistance to stripe rust. Theoretical and Applied Genetics, 135 (4), 1355-1373. doi: 10.1007/s00122-022-04037-8

Mining the Vavilov wheat diversity panel for new sources of adult plant resistance to stripe rust

2021

Journal Article

Genetic characterization of adult-plant resistance to tan spot (syn, yellow spot) in wheat

Dinglasan, Eric G., Peressini, Tamaya, Marathamuthu, Kalai A., See, Pao Theen, Snyman, Lisle, Platz, Greg, Godwin, Ian, Voss-Fels, Kai P., Moffat, Caroline S. and Hickey, Lee T. (2021). Genetic characterization of adult-plant resistance to tan spot (syn, yellow spot) in wheat. Theoretical and Applied Genetics, 134 (9), 2823-2839. doi: 10.1007/s00122-021-03861-8

Genetic characterization of adult-plant resistance to tan spot (syn, yellow spot) in wheat

2020

Journal Article

Physiological changes in barley mlo-11 powdery mildew resistance conditioned by tandem repeat copy number

Ge, Cynthia, Moolhuijzen, Paula, Hickey, Lee, Wentzel, Elzette, Deng, Weiwei, Dinglasan, Eric G. and Ellwood, Simon R. (2020). Physiological changes in barley mlo-11 powdery mildew resistance conditioned by tandem repeat copy number. International Journal of Molecular Sciences, 21 (22) 8769, 1-18. doi: 10.3390/ijms21228769

Physiological changes in barley mlo-11 powdery mildew resistance conditioned by tandem repeat copy number

2020

Journal Article

Adaptive traits to improve Durum wheat yield in drought and crown rot environments

Alahmad, Samir, Kang, Yichen, Dinglasan, Eric, Mazzucotelli, Elisabetta, Voss-Fels, Kai P., Able, Jason A., Christopher, Jack, Bassi, Filippo M. and Hickey, Lee T. (2020). Adaptive traits to improve Durum wheat yield in drought and crown rot environments. International Journal of Molecular Sciences, 21 (15) 5260, 1-17. doi: 10.3390/ijms21155260

Adaptive traits to improve Durum wheat yield in drought and crown rot environments

2019

Journal Article

A major root architecture QTL responding to water limitation in Durum Wheat

Alahmad, Samir, El Hassouni, Khaoula, Bassi, Filippo M., Dinglasan, Eric, Youssef, Chvan, Quarry, Georgia, Aksoy, Alpaslan, Mazzucotelli, Elisabetta, Juhasz, Angela, Able, Jason A., Christopher, Jack, Voss-Fels, Kai P. and Hickey, Lee T. (2019). A major root architecture QTL responding to water limitation in Durum Wheat. Frontiers in Plant Science, 10 436, 436. doi: 10.3389/fpls.2019.00436

A major root architecture QTL responding to water limitation in Durum Wheat

Funding

Current funding

  • 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

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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