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
2023
Conference Publication
Environment characterisation of sorghum GxE in Australia: Integrating APSIM and satellite imagery in NVT case study
Fernandez, Javier A., Garba, Ismail, Hu, Pengcheng, Segura Pinzon, Camilo, Arief, Vivi, Gho, Carla, Ramakers, Jip, Hemerik, Jesse, Zheng, Bangyou, van Eeuwijk, Fred and Chapman, Scott C. (2023). Environment characterisation of sorghum GxE in Australia: Integrating APSIM and satellite imagery in NVT case study. AuSoRGM, Toowoomba, QLD, Australia, 8-9 August 2023.
2023
Conference Publication
Environment characterisation of sorghum (Sorghum bicolor L.) crops using climate, satellite imagery, and crop simulation modelling in Australia
Javier A. Fernandez, Hu, Pengcheng, Chen, Zhi, Gho Brito, Carla, Segura Pinzon, Camilo, Chen, Qiaomin, Smith, Daniel, Arief, Vivi, Zheng, Bangyou, Potgieter, Andries, Zhao, Yan, Ramakers, Jip, Hemerik, Jesse, van Eeuwijk, Fred and Chapman, Scott C. (2023). Environment characterisation of sorghum (Sorghum bicolor L.) crops using climate, satellite imagery, and crop simulation modelling in Australia. Global Sorghum Conference, Montpellier, France, 5-9 June 2023.
2023
Conference Publication
Avances en fertilización nitrogenada en maíz en el NEA
Stahringer, Nicolás I., Fernández, Javier A., Almirón, Suyai and Madias, Andrés (2023). Avances en fertilización nitrogenada en maíz en el NEA. Simposio de Fertilidad, Rosario, Argentina, 10-11 May 2023.
2023
Journal Article
Enhancing maize grain dry-down predictive models
Chazarreta, Yésica D., Carcedo, Ana J. P., Alvarez Prado, Santiago, Massigoge, Ignacio, Amas, Juan I., Fernandez, Javier A., Ciampitti, Ignacio A. and Otegui, Maria E. (2023). Enhancing maize grain dry-down predictive models. Agricultural and Forest Meteorology, 334 109427, 1-8. doi: 10.1016/j.agrformet.2023.109427
2023
Journal Article
Comparison of statistical methods to fit critical nitrogen dilution curves
Lacasa, Josefina, Makowski, David, Hefley, Trevor, Fernandez, Javier, van Versendaal, Emmanuela, Lemaire, Gilles and Ciampitti, Ignacio (2023). Comparison of statistical methods to fit critical nitrogen dilution curves. European Journal of Agronomy, 145 126770, 1-10. doi: 10.1016/j.eja.2023.126770
2023
Journal Article
Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: a meta-analysis
Secchi, Mario A., Fernandez, Javier A., Stamm, Michael J., Durrett, Timothy, Prasad, P. V. Vara, Messina, Carlos D. and Ciampitti, Ignacio A. (2023). Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: a meta-analysis. Field Crops Research, 293 108848, 1-11. doi: 10.1016/j.fcr.2023.108848
2023
Journal Article
Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain
Demarco, Paula A., Mayor, Laura, Rotundo, José L., Prasad, P. V. Vara, Morris, Geoffrey P., Fernandez, Javier A., Tamagno, Santiago, Hammer, Graeme, Messina, Carlos D. and Ciampitti, Ignacio A. (2023). Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain. Crop Science, 63 (2), 867-878. doi: 10.1002/csc2.20845
2023
Other Outputs
INVITA Canopy temperature data set
Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Canopy temperature data set. The University of Queensland. (Dataset) doi: 10.48610/ef6a465
2023
Other Outputs
INVITA Plot photo data set
Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Plot photo data set. The University of Queensland. (Dataset) doi: 10.48610/f5e1414
2023
Other Outputs
INVITA Satellite data set
Chapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Satellite data set. The University of Queensland. (Dataset) doi: 10.48610/1c8d86a
2022
Conference Publication
Understanding physiological changes associated to yield gain in US commercial sorghum
Demarco, Paula A., Mayor, Laura, Rotundo, Jose L., Vara Prasad, P.V., Morris, Geoffrey, Fernandez, Javier A., Tamagno, Santiago, Hammer, Graeme, Messina, Charlie and Ciampitti, Ignacio (2022). Understanding physiological changes associated to yield gain in US commercial sorghum. TropAg 2022, International Tropical Agriculture Conference, Brisbane, QLD, Australia, 31 October - 2 November 2022.
2022
Journal Article
Contribution of tillers to maize yield stability at low plant density
Massigoge, Ignacio, Ross, Fernando, Fernández, Javier A., Echarte, Laura, Ciampitti, Ignacio A. and Cerrudo, Anibal (2022). Contribution of tillers to maize yield stability at low plant density. Crop Science, 62 (6), 2451-2461. doi: 10.1002/csc2.20827
2022
Journal Article
Dataset characteristics for the determination of critical nitrogen dilution curves: From past to new guidelines
Fernandez, Javier A., van Versendaal, Emmanuela, Lacasa, Josefina, Makowski, David, Lemaire, Gilles and Ciampitti, Ignacio A. (2022). Dataset characteristics for the determination of critical nitrogen dilution curves: From past to new guidelines. European Journal of Agronomy, 139 126568, 1-11. doi: 10.1016/j.eja.2022.126568
2022
Journal Article
A global dataset to parametrize critical nitrogen dilution curves for major crop species
Ciampitti, Ignacio, van Versendaal, Emmanuela, Rybecky, Juan Francisco, Lacasa, Josefina, Fernandez, Javier, Makowski, David and Lemaire, Gilles (2022). A global dataset to parametrize critical nitrogen dilution curves for major crop species. Scientific Data, 9 (1) 277, 1-11. doi: 10.1038/s41597-022-01395-2
2022
Journal Article
Maize genetic progress in the central Pampas of Argentina: effects of contrasting sowing dates
Amas, Juan I., Fernandez, Javier A., Curin, Facundo, Cirilo, Alfredo G., Ciampitti, Ignacio A. and Otegui, Maria E. (2022). Maize genetic progress in the central Pampas of Argentina: effects of contrasting sowing dates. Field Crops Research, 281 108492, 1-11. doi: 10.1016/j.fcr.2022.108492
2022
Journal Article
A quantitative review into the contributions of biological nitrogen fixation to agricultural systems by grain legumes
Palmero, Francisco, Fernandez, Javier A., Garcia, Fernando O., Haro, Ricardo J., Prasad, P.V. Vara, Salvagiotti, Fernando and Ciampitti, Ignacio A. (2022). A quantitative review into the contributions of biological nitrogen fixation to agricultural systems by grain legumes. European Journal of Agronomy, 136 126514. doi: 10.1016/j.eja.2022.126514
2022
Other Outputs
jafernandez01/cndcR: v1.0.0
Fernandez Javier (2022). jafernandez01/cndcR: v1.0.0. Zenodo. (Dataset) doi: 10.5281/zenodo.6468142
2022
Other Outputs
Kernel weight contribution to yield genetic gain of maize: A global dataset of maize yield, kernel number, and kernel weight over the last century
Fernandez, Javier, Messina, Carlos, Salinas, Andrea, Vara Prasad, P.V., Nippert, Jesse and Ciampitti, Ignacio (2022). Kernel weight contribution to yield genetic gain of maize: A global dataset of maize yield, kernel number, and kernel weight over the last century. Dryad. (Dataset) doi: 10.5061/dryad.31zcrjdn9
2022
Journal Article
Post-silking 15N labelling reveals an enhanced nitrogen allocation to leaves in modern maize (Zea mays) genotypes
Fernandez, Javier A., Nippert, Jesse B., Prasad, P.V. Vara, Messina, Carlos D. and Ciampitti, Ignacio A. (2022). Post-silking 15N labelling reveals an enhanced nitrogen allocation to leaves in modern maize (Zea mays) genotypes. Journal of Plant Physiology, 268 153577, 1-11. doi: 10.1016/j.jplph.2021.153577
2021
Other Outputs
Physiological determinants of nitrogen dynamics in response to genotype by management interactions in US maize hybrids
Fernandez, Javier Antonio (2021). Physiological determinants of nitrogen dynamics in response to genotype by management interactions in US maize hybrids. PhD Thesis, Department of Agronomy, Kansas State University.
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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