Jason Condon

Associate Professor Jason Condon

Soil Scientist

Agricultural, Environmental and Veterinary Sciences


Jason is practical soil science researcher with an interest in real world soil issues, communicating an understanding of agronomically relevant soil mechanisms to end users, and raising the awareness of soils within the broader community.

He also has more than 15 years’ experience researching soil and farming systems issues in the Mekong River Delta of Vietnam.

Jason has strong collaboration in research and extension with industry through FarmLink, Central West Farming Systems, Holbrook Landcare Network, and the Riverine Plains farming system groups, NSW DPI and leading agricultural companies like Nutrien, Delta Ag and AgnVet Services. He is driven to create smooth transitions between research and on farm practice change and the development of people along the spectrum of undergraduate student to agricultural professional.

  • Soil science
  • Salinity and soil acidity
Full publications list on CRO

Recent Publications

  • Kaveney, B., Barrett-Lennard, E., Chau Minh, K., Dang Duy, M., Nguyen Thi, K. P., Kristiansen, P., Orgill, S., Stewart-Koster, B., & Condon, J. (2023). Inland dry season saline intrusion in the Vietnamese Mekong River Delta is driving the identification and implementation of alternative crops to rice. Agricultural Systems, 207, [103632]. https://doi.org/10.1016/j.agsy.2023.103632
  • Doran, G., Condon, J., & Kaveney, B. (2023). Quantification of 3,4-Dimethyl-1H-Pyrazole Using Ion-Pair LC-MS/MS on a Reversed-Phase Column. Journal of AOAC International, 106(2), 316-319. https://doi.org/10.1093/jaoacint/qsac126
  • Parvin, S., Condon, J., & Rose, T. (2023). Rooting depth and water use of summer cover crops in a semi-arid cropping environment. European Journal of Agronomy, 147, [126847]. https://doi.org/10.1016/j.eja.2023.126847
  • Hayes, R., Condon, J., & Li, G. (2023). The role of liming in improving soil health. In W. Horwath (Ed.), Improving Soil Health (pp. 403-433). Burleigh Dodds Science Publishing Limited.
  • Randall, M., Lewis, A., Stewart-Koster, B., Anh, N. D., Burford, M., Condon, J., van Qui, N., Hiep, L. H., van Bay, D., van Sang, N., & Sammut, J. (2022). A Bayesian belief data mining approach applied to rice and shrimp aquaculture. PLoS One, 17(2 ), e0262402. [e0262402]. https://doi.org/10.1371/journal.pone.0262402