Overview
Background
Dr. Javier A. Fernandez is a Postdoctoral Research Fellow at The University of Queensland. His research specializes in crop physiology, plant nutrition, corn production, and crop modelling reflected by over 30 articles (refereed journal publications, extension articles, conference proceedings, and others). He is currently engaged in the use of statistical, digital, and model technologies to assess crop growth and development, with the overall goal of enhancing production, resource use efficiency, and sustainability of agricultural systems in Australia. Javier received his BS in Agricultural Engineering from Universidad Nacional del Nordeste in Argentina, and his PhD in Agronomy from Kansas State University. He is recipient of several honours and awards from university, professional societies, and governmental organizations, including two Fulbright Commission scholarships.
Availability
- Dr Javier Fernandez is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Agricultural Engineering, Universidad Nacional del Nordeste
- Graduate Certificate of Applied Statistics, Kansas State University
- Doctor of Philosophy of Agronomy, Kansas State University
- Member, American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, American Society of Agronomy, Crop Science Society of America, Soil Science Society of America
- Member, Gamma Sigma Delta, International Honor Society of Agriculture, Gamma Sigma Delta, International Honor Society of Agriculture
- Alumni, Kansas State University, Kansas State University
- Member, Professional Council in Agricultural Engineering of Corrientes, Professional Council in Agricultural Engineering of Corrientes
Research interests
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Use of data analytics and statistics to understand crop eco-physiological mechanisms
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The interplay between plant water, nitrogen, and carbon statuses underpinning improvements in yield and resource use efficiencies
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Deployment of remote sensing, crop modeling, and digital databases to create smart recommendation systems for agronomic management
Works
Search Professor Javier Fernandez’s works on UQ eSpace
Featured
2022
Journal Article
zmm28 transgenic maize increases both N uptake- and N utilization-efficiencies
Fernandez, Javier A., Habben, Jeffrey E., Schussler, Jeffrey R., Masek, Tim, Weers, Ben, Bing, James and Ciampitti, Ignacio A. (2022). zmm28 transgenic maize increases both N uptake- and N utilization-efficiencies. Communications Biology, 5 (1) 555, 1-9. doi: 10.1038/s42003-022-03501-x
Featured
2022
Journal Article
Kernel weight contribution to yield genetic gain of maize: a global review and US case studies
Fernández, Javier A., Messina, Carlos D., Salinas, Andrea, Prasad, P. V. Vara, Nippert, Jesse B. and Ciampitti, Ignacio A. (2022). Kernel weight contribution to yield genetic gain of maize: a global review and US case studies. Journal of Experimental Botany, 73 (11), 3597-3609. doi: 10.1093/jxb/erac103
Featured
2020
Journal Article
Late-season nitrogen fertilization on maize yield: a meta-analysis
Fernandez, Javier A., DeBruin, Jason, Messina, Carlos D. and Ciampitti, Ignacio A. (2020). Late-season nitrogen fertilization on maize yield: a meta-analysis. Field Crops Research, 247 107586. doi: 10.1016/j.fcr.2019.107586
2025
Journal Article
Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems
Garba, Ismail I., Fernandez, Javier A., Chen, Qiaomin, Gho, Carla, deVoil, Peter, Cooper, Mark and Chapman, Scott C. (2025). Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems. Field Crops Research, 326 109858, 109858. doi: 10.1016/j.fcr.2025.109858
2025
Journal Article
DP202216 Maize Hybrids Shift Upper Limit of C and N Partitioning to Grain
Palmero, Francisco, Fernandez, Javier, Habben, Jeffrey, Schussler, Jeffrey, Weers, Ben, Bing, James, Hefley, Trevor, Prasad, P.V. Vara and Ciampitti, Ignacio A. (2025). DP202216 Maize Hybrids Shift Upper Limit of C and N Partitioning to Grain. Frontiers in Plant Science, 16. doi: 10.3389/fpls.2025.1459126
2024
Journal Article
On the benefit of robust Bayesian confirmatory factor analysis
Vaisman, Radislav, Scovell, Mitchell, Kinaev, Nikolai and Fernandez, Javier (2024). On the benefit of robust Bayesian confirmatory factor analysis. Structural Equation Modeling. doi: 10.1080/10705511.2024.2431981
2024
Journal Article
Beyond Nue: a focus on true nitrogen gains in cereals
Fernandez, Javier A. and Ciampitti, Ignacio A. (2024). Beyond Nue: a focus on true nitrogen gains in cereals. doi: 10.2139/ssrn.5046954
2024
Other Outputs
Data and codes for "Beyond NUE: A focus on true nitrogen gains in cereals"
Fernandez, Javier A. and Ciampitti, Ignacio (2024). Data and codes for "Beyond NUE: A focus on true nitrogen gains in cereals". Mendeley Data. (Dataset) doi: 10.17632/s6kdt7pc2j.1
2024
Conference Publication
Multivariate characterisation of envirotypes for wheat G×E in Australian Variety Trials
Fernandez, Javier A., Hu, Pengcheng, Arief, Vivi, Gho, Carla, Ramakers, Jip, Hemerik, Jesse, Boer, Martin, van Eeuwijk, Fred and Chapman, Scott (2024). Multivariate characterisation of envirotypes for wheat G×E in Australian Variety Trials. GxExM Symposium III, Wageningen, Netherlands, 30-31 October 2024.
2024
Conference Publication
Assessing crop water use in wheat and sorghum National Variety Trials in Australia
Fernandez, J. A., Gho, C., Smith, D., Zheng, B. and Chapman, S.C. (2024). Assessing crop water use in wheat and sorghum National Variety Trials in Australia. 21st Australian Society of Agronomy Conference, Albany, WA, Australia, 21-24 October 2024. Australian Society of Agronomy.
2024
Conference Publication
From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales
Chen, Qiaomin, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel T.L., Fernandez, Javier, Garba, Ismail I. and Chapman, Scott C. (2024). From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales. 3rd International Wheat Congress, Perth, WA, Australia, 22-27 September 2024. Perth, WA, Australia: IWC 2024.
2024
Conference Publication
Environment characterisation of wheat national variety trials in Australia
Fernandez, Javier A., Arief, Vivi, Hu, Pengcheng, Zheng, Bangyou, Gho, Carla, Ramakers, Jip, Boer, Martin, van Eeuwijk, Fred and Chapman, Scott (2024). Environment characterisation of wheat national variety trials in Australia. 3rd International Wheat Congress, Perth, WA, Australia, 22-27 September 2024.
2024
Journal Article
Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data
Hu, Pengcheng, Zheng, Bangyou, Chen, Qiaomin, Grunefeld, Swaantje, Choudhury, Malini Roy, Fernandez, Javier, Potgieter, Andries and Chapman, Scott C. (2024). Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data. Remote Sensing of Environment, 311 114277, 1-15. doi: 10.1016/j.rse.2024.114277
2024
Other Outputs
Enhancing crop trial data to strengthen variety decisions
Fernandez, Javier and Chapman, Scott (2024, 07 01). Enhancing crop trial data to strengthen variety decisions GRDC GroundCover Supplement: Analytics, Data and Phenomics 12-13.
2024
Conference Publication
Role of environmental data to interpret crop performance and adaptation in variety testing in Australia
Fernandez, Javier A. (2024). Role of environmental data to interpret crop performance and adaptation in variety testing in Australia. KWS R&D Conference, Einbeck, Germany, 11-13 June 2024.
2024
Journal Article
Optimization of carbon and nitrogen partitioning in DP202216 maize hybrids
Palmero, Francisco, Fernandez, Javier A., Habben, Jeffrey E., Schussler, Jeffrey R., Masek, Tim, Weers, Ben, Bing, James, Hefley, Trevor, Prasad, P.V. Vara and Ciampitti, Ignacio A. (2024). Optimization of carbon and nitrogen partitioning in DP202216 maize hybrids. Field Crops Research, 310 109345, 1-10. doi: 10.1016/j.fcr.2024.109345
2024
Journal Article
Maize-Brachiaria grass intercropping: a meta-analysis of major productivity drivers in Brazil
Souza, Lucas Freitas Nogueira, Ciampitti, Ignacio A., Fernandez, Javier A., Favarin, José Laércio and de Oliveira, Silas Maciel (2024). Maize-Brachiaria grass intercropping: a meta-analysis of major productivity drivers in Brazil. Field Crops Research, 306 109205. doi: 10.1016/j.fcr.2023.109205
2024
Journal Article
Determination of water-soluble carbohydrates by near-infrared spectroscopy for canola, maize, and sorghum stem fractions
Goñi, Agustina M., Fernández, Javier A., Demarco, Paula A., Secchi, Mario A., Carcedo, Ana J.P. and Ciampitti, Ignacio A. (2024). Determination of water-soluble carbohydrates by near-infrared spectroscopy for canola, maize, and sorghum stem fractions. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 304 123320, 123320. doi: 10.1016/j.saa.2023.123320
2023
Conference Publication
A new transgenic maize hybrid: understanding biomass and nitrogen remobilization dynamics
Palmero, Francisco, Fernandez, Javier A., Ciampitti, Ignacio A., Habben, Jeff and Schussler, Jeff (2023). A new transgenic maize hybrid: understanding biomass and nitrogen remobilization dynamics. ASA, CSSA, SSSA International Annual Meeting, St. Louis, MO, United States, 29 October - 1 November 2023.
2023
Conference Publication
Predicting yield in multi-environment breeding trials using penalized regression and multiple-covariate random-regression models
Ramakers, Jip, Hemerik, Jesse, Boer, Martin, Bustos-Korts, Daniela, Fernandez, Javier A., Pengcheng Hu, Noviati, Vivi, Chapman, Scott and van Eeuwijk, Fred (2023). Predicting yield in multi-environment breeding trials using penalized regression and multiple-covariate random-regression models. Channel Network Conference 2023, Wageningen, Netherlands, 23-25 August 2023.
Supervision
Availability
- Dr Javier Fernandez is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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Research Opportunities
Refer to the "Research Interests" section for more information on the research focus.
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Research Opportunities
Refer to the "Research Interests" section for more information on the research focus.
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Dynamic modelling of agricultural data using functional and statistical methods
Develop advanced functional models and statistical methods for modelling time-series crop traits, including linear mixed models and Ordinary Differential Equations.
Media
Enquiries
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