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Dr Kai Voss-Fels
Dr

Kai Voss-Fels

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Overview

Background

Dr Kai Voss-Fels is a Senior Research Fellow within the Queensland Alliance for Agriculture and Food Innovation at The University of Queensland focussing on quantitative genetics and plant breeding. Before joining UQ in 2017, Kai has worked as Research Associate at the Karlsruhe Institute for Technology and as PhD student and then Postdoc at the Justus Liebig University Giessen in Germany, where he completed his PhD in 2016 with highest distinction (summa cum laude, JLU best dissertation award).

Kai is interested in developing and implementing new genomics-assisted breeding approaches to improve yield, quality and resistances in major crops, such as wheat, barley, sugarcane, rapeseed and chickpea. A particular focus of his research involves the integration of quantitative genetics, genomics and computational approaches to develop new crop improvement strategies. He is particularly interested in new genomic prediction approaches, e.g. involving artificial intelligence and computer simulation, that could help to accelerate the rate of genetic gain. This also includes the study of GxE interaction and non-additive genetic effects, which represent a key challenge for crop genetic improvement programs.

Kai has won several prestigious awards, e.g. the Kurt von Rümker Price 2017 and the 2019 Barley Incentive Award by the Australian Barley Technical Symposium committee. He has published his research outcomes in high impact peer-reviewed journals, such as Nature Plants and Trends in Plant Science, and he works closely with leading national and international partners across the public and private sectors.

Availability

Dr Kai Voss-Fels is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Justus Liebig Universität Giessen

Research interests

  • Quantitative Genetics

  • Genomics

  • Plant breeding

  • Agricultural Science

Works

Search Professor Kai Voss-Fels’s works on UQ eSpace

80 works between 2015 and 2025

21 - 40 of 80 works

2022

Conference Publication

Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systems

Kang, Y., Alahmad, S., Smith, D., van Haeften, S., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu K, Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Chapman, S., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systems. 7th International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 November 2022.

Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systems

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

Conference Publication

From lab to field: a major QTL to modify root system architecture in elite durum wheat

Kang, Y., Alahmad, S., Aldiss, Z., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Potgieter, A.B., Jordan, D.R., Borrell, A.K., Wasson, A. and Hickey, L.T. (2022). From lab to field: a major QTL to modify root system architecture in elite durum wheat. International Wheat Congress, Beijing, China, 11-15 September 2022.

From lab to field: a major QTL to modify root system architecture in elite durum wheat

2022

Conference Publication

A major QTL to modify root system architecture in elite durum wheat

Kang, Y., Alahmad, S., Aldiss, Z., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Potgieter, A.B., Jordan, D.R., Borrell, A.K., Wasson, A. and Hickey, L.T. (2022). A major QTL to modify root system architecture in elite durum wheat. Wheat Breeding Assembly, Narrabri, NSW Australia, 28-31 August 2022.

A major QTL to modify root system architecture in elite durum wheat

2022

Conference Publication

Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars

Alahmad, S., Kang, Y., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Smith, D., Chapman, S., Watt, M., Ober, E., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars. Wheat Breeding Assembly, Narrabri, NSW Australia, 28-31 August 2022.

Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars

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

Designing chickpea for a hotter drier world

Akinlade, Oluwaseun J., Voss-Fels, Kai, Costilla, Roy, Kholova, Jana, Choudhary, Sunita, Varshney, Rajeev K., Hickey, Lee T. and Smith, Millicent R. (2022). Designing chickpea for a hotter drier world. Euphytica, 218 (7) 100. doi: 10.1007/s10681-022-03048-2

Designing chickpea for a hotter drier world

2022

Conference Publication

Predicting a path to increase genetic gain in chickpea

Akinlade, Oluwaseun, Voss-Fels, Kai, Costilla, Roy, Kholova, Jana, Choudhary, Sunita, Varshney, Rajeev, Smith, Millicent and Hickey, Lee (2022). Predicting a path to increase genetic gain in chickpea. Australasian Plant Breeding Conference, Gold Coast, QLD Australia, 9-11 May 2022.

Predicting a path to increase genetic gain in chickpea

2022

Journal Article

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

Powell, 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

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

2022

Conference Publication

Digging deeper to improve yield stability: harnessing roots using new breeding technologies

Hickey, L., Voss-Fels, K., Chenu, K., Smith, M., Hayes, B., Godwin, I., Djordjevic, M., Rattey, A., Godoy, J. and Robinson, H. (2022). Digging deeper to improve yield stability: harnessing roots using new breeding technologies. Australian Barley Technical Symposium, Gold Coast, QLD Australia, 22-25 April 2022.

Digging deeper to improve yield stability: harnessing roots using new breeding technologies

2022

Journal Article

Environmental variation effects fertility in tropical beef cattle

Copley, James P., Engle, Bailey N., Ross, Elizabeth M., Speight, Shannon, Fordyce, Geoffry, Wood, Benjamin J., Voss-Fels, Kai P. and Hayes, Benjamin J. (2022). Environmental variation effects fertility in tropical beef cattle. Translational Animal Science, 6 (2) txac035, 1-10. doi: 10.1093/tas/txac035

Environmental variation effects fertility in tropical beef cattle

2022

Journal Article

Author correction: a chickpea genetic variation map based on the sequencing of 3,366 genomes

Varshney, Rajeev K., Roorkiwal, Manish, Sun, Shuai, Bajaj, Prasad, Chitikineni, Annapurna, Thudi, Mahendar, Singh, Narendra P., Du, Xiao, Upadhyaya, Hari D., Khan, Aamir W., Wang, Yue, Garg, Vanika, Fan, Guangyi, Cowling, Wallace A., Crossa, José, Gentzbittel, Laurent, Voss-Fels, Kai Peter, Valluri, Vinod Kumar, Sinha, Pallavi, Singh, Vikas K., Ben, Cécile, Rathore, Abhishek, Punna, Ramu, Singh, Muneendra K., Tar’an, Bunyamin, Bharadwaj, Chellapilla, Yasin, Mohammad, Pithia, Motisagar S., Singh, Servejeet ... Liu, Xin (2022). Author correction: a chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 604 (7905), E12-E12. doi: 10.1038/s41586-022-04660-x

Author correction: a chickpea genetic variation map based on the sequencing of 3,366 genomes

2022

Other Outputs

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

Powell, Owen M., Barbier, Francois, Voss-Fels, Kai P., Beveridge, Christine A. 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. doi: 10.1101/2022.02.03.479064

Investigations into the emergent properties of gene-to-phenotype networks across cycles of selection: a case study of shoot branching in plants

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

2022

Journal Article

A toolkit to rapidly modify root systems through single plant selection

Rambla, Charlotte, Van Der Meer, Sarah, Voss-Fels, Kai P., Makhoul, Manar, Obermeier, Christian, Snowdon, Rod, Ober, Eric S., Watt, Michelle, Alahmad, Samir and Hickey, Lee T. (2022). A toolkit to rapidly modify root systems through single plant selection. Plant Methods, 18 (1) 2, 2. doi: 10.1186/s13007-021-00834-2

A toolkit to rapidly modify root systems through single plant selection

2022

Book Chapter

Accelerating breeding cycles

Alahmad, Samir, Rambla, Charlotte, Voss-Fels, Kai P. and Hickey, Lee T. (2022). Accelerating breeding cycles. Wheat improvement. (pp. 557-571) Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-90673-3_30

Accelerating breeding cycles

2021

Conference Publication

Improving mungbean productivity

Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Potgieter, Andries, Voss-Fels, Kai, Hickey, Lee and Smith, Millicent (2021). Improving mungbean productivity. Australian Society of Plant Scientists Conference, Brisbane/Hybrid, 25 November 2021.

Improving mungbean productivity

2021

Conference Publication

Assessing the relationship between beef cattle fertility traits and novel environmental descriptors in northern Australia

Copley, J.P., Engle, B.N., Speight, S., Fordyce, G., Ross, E.M., Voss-Fels, K.P. and Hayes, B.J. (2021). Assessing the relationship between beef cattle fertility traits and novel environmental descriptors in northern Australia. 24th Association for the Advancement of Animal Breeding and Genetics Conference, Online, 2-4 November 2021. Armidale, NSW Australia: Association for the Advancement of Animal Breeding and Genetics.

Assessing the relationship between beef cattle fertility traits and novel environmental descriptors in northern Australia

2021

Journal Article

A chickpea genetic variation map based on the sequencing of 3,366 genomes

Varshney, Rajeev K., Roorkiwal, Manish, Sun, Shuai, Bajaj, Prasad, Chitikineni, Annapurna, Thudi, Mahendar, Singh, Narendra P., Du, Xiao, Upadhyaya, Hari D., Khan, Aamir W., Wang, Yue, Garg, Vanika, Fan, Guangyi, Cowling, Wallace A., Crossa, José, Gentzbittel, Laurent, Voss-Fels, Kai Peter, Valluri, Vinod Kumar, Sinha, Pallavi, Singh, Vikas K., Ben, Cécile, Rathore, Abhishek, Punna, Ramu, Singh, Muneendra K., Tar’an, Bunyamin, Bharadwaj, Chellapilla, Yasin, Mohammad, Pithia, Motisagar S., Singh, Servejeet ... Liu, Xin (2021). A chickpea genetic variation map based on the sequencing of 3,366 genomes. Nature, 599 (7886), 622-627. doi: 10.1038/s41586-021-04066-1

A chickpea genetic variation map based on the sequencing of 3,366 genomes

Funding

Current funding

  • 2022 - 2026
    Digging deeper to improve yield stability
    ARC Linkage Projects
    Open grant

Past funding

  • 2021
    Revealing and navigating a path to climate-ready crops
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2018 - 2022
    Rooty: a root ideotype toolbox to support improved wheat yields
    Grains Research & Development Corporation
    Open grant
  • 2018 - 2023
    FastStack - evolutionary computing to stack desirable alleles in wheat
    ARC Linkage Projects
    Open grant

Supervision

Availability

Dr Kai Voss-Fels is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Pan-epigenomics for crop improvement

    Associate Advisor

    Other advisors: Professor Lee Hickey, Dr Peter Crisp

  • Doctor Philosophy

    Application of haplotype-based genotype by environment interaction modelling approaches to cereal breeding programs

    Associate Advisor

    Other advisors: Dr Hannah Robinson, Professor Lee Hickey

  • Doctor Philosophy

    Epi-bunch: accelerating clonal selection for grapevine using (epi)genomics

    Associate Advisor

    Other advisors: Dr Peter Crisp

Completed supervision

Media

Enquiries

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