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Dr Javier Fernandez
Dr

Javier Fernandez

Email: 

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

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

  • Use of data analytics and statistics to understand crop eco-physiological mechanisms

  • The interplay between plant water, nitrogen, and carbon statuses underpinning improvements in yield and resource use efficiencies

  • 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

31 works between 2018 and 2024

1 - 20 of 31 works

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

zmm28 transgenic maize increases both N uptake- and N utilization-efficiencies

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

Kernel weight contribution to yield genetic gain of maize: a global review and US case studies

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

Late-season nitrogen fertilization on maize yield: a meta-analysis

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

Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data

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, 109345. doi: 10.1016/j.fcr.2024.109345

Optimization of carbon and nitrogen partitioning in DP202216 maize hybrids

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, 109205. doi: 10.1016/j.fcr.2023.109205

Maize-Brachiaria grass intercropping: A meta-analysis of major productivity drivers in Brazil

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

Determination of water-soluble carbohydrates by near-infrared spectroscopy for canola, maize, and sorghum stem fractions

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

Enhancing maize grain dry-down predictive models

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

Comparison of statistical methods to fit critical nitrogen dilution curves

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

Effects of heat and drought on canola (Brassica napus L.) yield, oil, and protein: a meta-analysis

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

Retrospective study in US commercial sorghum breeding: II. Physiological changes associated to yield gain

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

INVITA Plot photo data set

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

INVITA Satellite data set

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

INVITA Canopy temperature data set

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

Contribution of tillers to maize yield stability at low plant density

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

Dataset characteristics for the determination of critical nitrogen dilution curves: From past to new guidelines

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

A global dataset to parametrize critical nitrogen dilution curves for major crop species

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

A quantitative review into the contributions of biological nitrogen fixation to agricultural systems by grain legumes

2022

Other Outputs

jafernandez01/cndcR: v1.0.0

Fernandez Javier (2022). jafernandez01/cndcR: v1.0.0. Zenodo. (Dataset) doi: 10.5281/zenodo.6468142

jafernandez01/cndcR: v1.0.0

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

Kernel weight contribution to yield genetic gain of maize: A global dataset of maize yield, kernel number, and kernel weight over the last century

Supervision

Availability

Dr Javier Fernandez is:
Available for supervision

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Available projects

  • Research Opportunities

    Refer to the "Research Interests" section for more information on the research focus.

Media

Enquiries

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communications@uq.edu.au