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Professor Karine Chenu
Professor

Karine Chenu

Email: 
Phone: 
+61 7 535 15093

Overview

Background

Karine Chenu is a Professor at the Queensland Alliance for Agriculture and Food Innovation (QAAFI), The University of Queensland, and Director of the ARC Research Hub for Engineering Plants to Replace Fossil Carbon. She is an internationally recognised expert in ecophysiology and crop modelling, with a strong focus on improving plant adaptation to climate change and enhancing their potential to produce sustainable bioproducts.

Her research integrates physiology, genetics, and modelling to advance crop design and breeding strategies. This includes uncovering the physiological and genetic basis of key adaptive traits, developing gene-to-phenotype modelling approaches, and exploring innovative combinations of genotypes, environments, and management practices to enhance productivity under changing climates.

Professor Chenu works closely with a wide network of plant breeders, geneticists, biochemists, modellers, and agronomists across national and international collaborations in both public and private sectors. She also represents UQ on the APSIM Initiative Reference Panel, contributing to the ongoing development of the globally adopted APSIM crop modelling platform.

Availability

Professor Karine Chenu is:
Available for supervision

Qualifications

  • Masters (Coursework) of Science, Montpellier 2 University
  • Doctor of Philosophy, Montpellier 2 University

Works

Search Professor Karine Chenu’s works on UQ eSpace

310 works between 2002 and 2026

161 - 180 of 310 works

2019

Conference Publication

Satellite-based detection of sowing dates in field crops

Sadeh, Y., Zhu, X., Chenu, K. and Dunkerley, D. (2019). Satellite-based detection of sowing dates in field crops. Precision agriculture ’19: 12th European Conference on Precision Agriculture , Montpellier, France, 8-11 July 2019. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-888-9_61

Satellite-based detection of sowing dates in field crops

2018

Journal Article

The value of tactical adaptation to El Niño–southern oscillation for east Australian wheat

Zheng, Bangyou, Chapman, Scott and Chenu, Karine (2018). The value of tactical adaptation to El Niño–southern oscillation for east Australian wheat. Climate, 6 (3) 77, 77. doi: 10.3390/cli6030077

The value of tactical adaptation to El Niño–southern oscillation for east Australian wheat

2018

Journal Article

A low-cost method to rapidly and accurately screen for transpiration efficiency in wheat

Fletcher, Andrew, Christopher, Jack, Hunter, Mal, Rebetzke, Greg and Chenu, Karine (2018). A low-cost method to rapidly and accurately screen for transpiration efficiency in wheat. Plant Methods, 14 (1) 77, 77. doi: 10.1186/s13007-018-0339-y

A low-cost method to rapidly and accurately screen for transpiration efficiency in wheat

2018

Journal Article

Direct and indirect costs of frost in the Australian wheatbelt

An-Vo, Duc-Anh, Mushtaq, Shahbaz, Zheng, Bangyou, Christopher, Jack T., Chapman, Scott C. and Chenu, Karine (2018). Direct and indirect costs of frost in the Australian wheatbelt. Ecological Economics, 150, 122-136. doi: 10.1016/j.ecolecon.2018.04.008

Direct and indirect costs of frost in the Australian wheatbelt

2018

Journal Article

Selection in early generations to shift allele frequency for seminal root angle in wheat

Richard, Cecile, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Christopher, Mandy and Hickey, Lee (2018). Selection in early generations to shift allele frequency for seminal root angle in wheat. Plant Genome, 11 (2) 170071, 170071. doi: 10.3835/plantgenome2017.08.0071

Selection in early generations to shift allele frequency for seminal root angle in wheat

2018

Journal Article

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

Chenu, K., van Oosterom, E. J., McLean, G., Deifel, K. S., Fletcher, A., Geetika, G., Tirfessa, A., Mace, E. S., Jordan, D. R., Sulman, R. and Hammer, G. L. (2018). Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals. Journal of Experimental Botany, 69 (13), 3181-3194. doi: 10.1093/jxb/ery059

Integrating modelling and phenotyping approaches to identify and screen complex traits : transpiration efficiency in cereals

2018

Conference Publication

A low-cost method for high-throughput phenotyping of transpiration efficiency

Fletcher, A., Christopher, J., Hunter, M. and Chenu, K. (2018). A low-cost method for high-throughput phenotyping of transpiration efficiency. 15th Plant Biology Europe, Copenhagen, Denmark, 18-21 June 2018.

A low-cost method for high-throughput phenotyping of transpiration efficiency

2018

Conference Publication

Genetics of transpiration efficiency in a wheat Nested Association Mapping population

Fletcher, A., Christopher, J., Kelly, A., Paccapelo, V. and Chenu, K. (2018). Genetics of transpiration efficiency in a wheat Nested Association Mapping population. 15th Plant Biology Europe, Copenhagen, Denmark, 18-21 June 2018.

Genetics of transpiration efficiency in a wheat Nested Association Mapping population

2018

Conference Publication

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

Bustos-Korts, D., Malosetti, M., Boer, M., Chapman, S., Chenu, K. and van Eeuwijk, F. (2018). Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies. Biometrics Eucarpia, Ghent, Belgium, 3-5 September 2018.

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

2018

Conference Publication

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

Bustos-Korts, D., Malosetti, M., Boer, M., Chapman, S., Chenu, K. and van Eeuwijk, F. (2018). Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies. 29th International Biometric Conference, Barcelona, Spain, 8-13 July 2018.

Combining crop growth modelling and statistical genetic modelling to evaluate phenotyping strategies

2018

Conference Publication

Indirect adaptation for transpiration efficiency in Australian wheat varieties

Fletcher, A. and Chenu, K. (2018). Indirect adaptation for transpiration efficiency in Australian wheat varieties. 15th Plant Biology Europe, Copenhagen, Denmark, 18-21 June 2018.

Indirect adaptation for transpiration efficiency in Australian wheat varieties

2018

Conference Publication

A novel phenotyping platform allows selection for cereal root traits

Richard, C., Hickey, L., Chenu, K., Christopher, M. J., Borrell, A. K. and Christopher, J. T. (2018). A novel phenotyping platform allows selection for cereal root traits. 4th International Society of Root Research Conference, Jerusalem, Israel, 8-12 July 2018.

A novel phenotyping platform allows selection for cereal root traits

2018

Conference Publication

Phenotypic selection of cereal root traits for terminal drought-stressed environments

Christopher, J. T., Richard, C., Hickey, L., Chenu, K., Christopher, M. J. and Borrell, A. K. (2018). Phenotypic selection of cereal root traits for terminal drought-stressed environments. 5th Biennial International Plant Phenotyping Symposium, Adelaide, SA, Australia, 2-5 October 2018.

Phenotypic selection of cereal root traits for terminal drought-stressed environments

2018

Conference Publication

Caractérisation de déficits hydriques en essais et sur le long-terme pour assister le développement variétal et l’aide au conseil

Chenu, Karine and Deswarte, Jean-Charles (2018). Caractérisation de déficits hydriques en essais et sur le long-terme pour assister le développement variétal et l’aide au conseil. Phloeme, Paris, France, 24-25 January 2018. France:

Caractérisation de déficits hydriques en essais et sur le long-terme pour assister le développement variétal et l’aide au conseil

2017

Journal Article

QTL for stay-green traits in wheat in well-watered and water-limited environments

Christopher, Mandy, Chenu, Karine, Jennings, Raeleen, Fletcher, Susan, Butler, David, Borrell, Andrew and Christopher, Jack (2017). QTL for stay-green traits in wheat in well-watered and water-limited environments. Field Crops Research, 217, 32-44. doi: 10.1016/j.fcr.2017.11.003

QTL for stay-green traits in wheat in well-watered and water-limited environments

2017

Journal Article

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

Watson, James, Zheng, Bangyou, Chapman, Scott and Chenu, Karine (2017). Projected impact of future climate on water-stress patterns across the Australian wheatbelt. Journal of Experimental Botany, 68 (21-22), 5907-5921. doi: 10.1093/jxb/erx368

Projected impact of future climate on water-stress patterns across the Australian wheatbelt

2017

Journal Article

VERNALIZATION1 modulates root system architecture in wheat and barley

Voss-Fels, Kai P., Robinson, Hannah, Mudge, Stephen R., Richard, Cecile, Newman, Saul, Wittkop, Benjamin, Stahl, Andreas, Friedt, Wolfgang, Frisch, Matthias, Gabur, Iulian, Miller-Cooper, Anika, Campbell, Bradley C., Kelly, Alison, Fox, Glen, Christopher, Jack, Christopher, Mandy, Chenu, Karine, Franckowiak, Jerome, Mace, Emma S., Borrell, Andrew K., Eagles, Howard, Jordan, David R., Botella, Jose R., Hammer, Graeme, Godwin, Ian D., Trevaskis, Ben, Snowdon, Rod J. and Hickey, Lee T. (2017). VERNALIZATION1 modulates root system architecture in wheat and barley. Molecular Plant, 11 (1), 226-229. doi: 10.1016/j.molp.2017.10.005

VERNALIZATION1 modulates root system architecture in wheat and barley

2017

Journal Article

Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection

Ly, Delphine, Chenu, Karine, Gauffreteau, Arnaud, Rincent, Renaud, Huet, Sylvie, Gouache, David, Martre, Pierre, Bordes, Jacques and Charmet, Gilles (2017). Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection. Field Crops Research, 214, 331-340. doi: 10.1016/j.fcr.2017.09.024

Nitrogen nutrition index predicted by a crop model improves the genomic prediction of grain number for a bread wheat core collection

2017

Journal Article

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance

Mushtaqa,Shahbaz , Frederiks, Troy M. , An-Vo, Duc-Anh , Christopher, Mandy , Zheng, Bangyou , Chenu, Karine , Chapman, Scott C. , Christopher, Jack T. , Stone, Roger C. and Alam, G.M. Monirul (2017). Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance. Field Crops Research, 213, 75-88. doi: 10.1016/j.fcr.2017.07.021

Economic assessment of wheat breeding options for potential improved levels of post head-emergence frost tolerance

2017

Journal Article

Contribution of crop models to adaptation in wheat

Chenu, Karine, Porter, John Roy, Martre, Pierre, Basso, Bruno, Chapman, Scott Cameron, Ewert, Frank, Bindi, Marco and Asseng, Senthold (2017). Contribution of crop models to adaptation in wheat. Trends in Plant Science, 22 (6), 472-490. doi: 10.1016/j.tplants.2017.02.003

Contribution of crop models to adaptation in wheat

Funding

Current funding

  • 2025 - 2030
    INRAE-UQ International Associated Laboratory (IAL) on wheat adaptation to changing environments
    INRAE
    Open grant
  • 2025 - 2030
    ARC Research Hub for Engineering Plants to Replace Fossil Carbon
    ARC Industrial Transformation Research Hubs
    Open grant
  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    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
  • 2024 - 2027
    Root structure and function traits: Overcoming the root phenotyping bottleneck in cereals
    PROC-9176895 Phenomics methods and tools to enable improved resource capture efficiency in grain crops
    Open grant
  • 2023 - 2028
    Enhancing Genomic Prediction for Changing Environments in Wheat
    ARC Linkage Projects
    Open grant

Past funding

  • 2022 - 2026
    Digging deeper to improve yield stability
    ARC Linkage Projects
    Open grant
  • 2021 - 2025
    REGARD - In the search for climate analogues to breeding crop of the future (FSOV grant administered by Arvalis)
    ARVALIS - Institut du vegetal
    Open grant
  • 2020 - 2021
    CRACQ (Clone the ARC875 QTL) Cloning and characterisation of a wheat gene that yields under drought and heat stress (GNIS-FSOV project Administered by BIOGEMMA, in collaboration with Uni of Adelaide)
    University of Adelaide
    Open grant
  • 2020 - 2024
    CropPhen: Remote mapping of grain crop type and phenology
    Grains Research & Development Corporation
    Open grant
  • 2014 - 2017
    High yielding cereal agronomy in the northern grains region
    Grains Research & Development Corporation
    Open grant
  • 2014 - 2017
    Improving yield and reliability of field peas and chickpeas under water deficit
    South Australian Research and Development Institute
    Open grant
  • 2014 - 2019
    Raising water productivity: Trait assessment for Australian rainfed wheat (Grains and Research Development Corporation grant administered by CSIRO)
    CSIRO
    Open grant
  • 2013 - 2015
    Frost Situation Analysis
    Grains Research & Development Corporation
    Open grant
  • 2012 - 2016
    StressMaster: A decision support tool to manage irrigation in real time in managed environments
    Grains Research & Development Corporation
    Open grant
  • 2012
    Phenotyping whole-plant transpiration efficiency to aid breeding for drought-tolerant wheat varieties
    UQ Early Career Researcher
    Open grant
  • 2010 - 2013
    Experiments and models to capture genotypic differences in physiological controls of carbon allocation among plant organs and economic yield in wheat (CSIRO project novated from DEEDI)
    CSIRO
    Open grant
  • 2008 - 2013
    Optimised wheat root architecture for increased yield and yield stability in the face of a changing climate
    Grains Research & Development Corporation
    Open grant

Supervision

Availability

Professor Karine Chenu is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Media

Enquiries

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