Associate Professor Karine Chenu

Principal Research Fellow

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
+61 7 4529 4252
+61 7 535 15084


Dr Karine Chenu is Associate Professor at the Queensland Alliance for Agriculture and Food Innovation (QAAFI) at the University of Queensland. Karine has expertise in ecophysiology, genetics and modelling with a focus on drought and heat adaptation.

Her group is conducting research that supports crop modelling technology, plant design and breeding strategies in winter cereals.

Her research mainly concerns: - understanding trait physiology and genetics, - developing gene-to-phenotype crop modelling - exploring novel combinations of genotypes, environments and management practices to assist productivity improvement in changing environments.

Karine collaborates with plant breeders, geneticists, modellers and agronomists in a range of national and international research projects in both public and private sectors.

She is also one of the UQ representatives on the APSIM Initiative Reference Panel, which is responsible for the on-going development of the APSIM model (, which is now used world-wide.


  • Diploma of Doctor, UM2(FR)
  • Master of Science, UM2(FR)


View all Publications


View all Supervision


Featured Publications

Book Chapter

  • Wang, Enli, Teixeira, Edmar, Zheng, Bangyou, Hughes, Neal, Chenu, Karine, Hunt, James, Ghahramani, Afshin, Potgieter, Andries B., Zhu, Junqi, Cichota, Rogerio and Huth, Neil (2023). Modelling the impact of climate change on agriculture in Australia and Oceania. Modelling climate change impacts on agricultural systems. (pp. 481-540) edited by Claas Nendel. Cambridge, United Kingdom: Burleigh Dodds Science Publishing. doi: 10.19103/as.2022.0115.17

  • Chauhan, Yashvir, Chenu, Karine and Williams, Rex (2021). Using crop modelling to improve chickpea adaptation in variable environments. Genetic enhancement in major food legumes: advances in major food legumes. (pp. 231-254) edited by Kul Bhushan Saxena, Rachit K. Saxena and Rajeev K. Varshney. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-030-64500-7_8

  • Miralles, Daniel J., Abeledo, L. Gabriela, Prado, Santiago Alvarez, Chenu, Karine, Serrago, Román A. and Savin, Roxana (2021). Barley. Crop Physiology Case Histories for Major Crops. (pp. 164-195) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Elsevier. doi: 10.1016/B978-0-12-819194-1.00004-9

  • Potgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton FL, USA: CRC Press.

  • Chenu, Karine (2015). Characterising the crop environment – nature, significance and applications. Crop physiology: applications for genetic improvement and agronomy. (pp. 321-348) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-417104-6.00013-3

  • Martre, Pierre, Quilot-Turion, Benedicte, Luquet, Delphine, Ould-Sidi Memmah, Mohammed-Mahmoud, Chenu, Karine and Debaeke, Philippe (2015). Model assisted phenotyping and ideotype design. Crop physiology: applications for genetic improvement and agronomy. (pp. 349-373) edited by Victor Sadras and Daniel Calderini. London, United Kingdom: Academic Press. doi: 10.1016/B978-0-12-417104-6.00014-5

  • Chenu K, Fournier C, Andrieu B and Giauffret C (2007). An architectural approach to investigate maize response to low temperature. Scale and complexity in plant systems research : gene-plant-crop relations. (pp. 201-210) Dordrecht, Netherlands: Springer - Netherlands.

Journal Article

Conference Publication

Other Outputs

  • Chen, Qiaomin, Chapman, Scott, Zheng, Bangyou, Chenu, Karine and Chen, Qiaomin (2023). Generic model to estimate wheat LAI. The University of Queensland. (Dataset) doi: 10.48610/ac9642c

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

Completed Supervision