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Featured 2022 Journal Article zmm28 transgenic maize increases both N uptake- and N utilization-efficienciesFernandez, 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 |
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Featured 2022 Journal Article Kernel weight contribution to yield genetic gain of maize: a global review and US case studiesFernández, 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 |
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2020 Journal Article Late-season nitrogen fertilization on maize yield: a meta-analysisFernandez, 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, 107586. doi: 10.1016/j.fcr.2019.107586 |
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2026 Journal Article Evaluation of trialling efficiency of the Australian wheatbeltArief, Vivi, Ramakers, Jip J C, Fernandez, Javier, Boer, Martin P, Gho, Carla, van Eeuwijk, Fred A and Chapman, Scott (2026). Evaluation of Trialling Efficiency of the Australian Wheatbelt. G3: Genes, Genomes, Genetics jkag286. doi: 10.1093/g3journal/jkag286 |
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2026 Journal Article Reduced-rank random regression for improved yield prediction across the Australian wheatbeltRamakers, Jip J. C., Boer, Martin P., Hemerik, Jesse, Bustos-Korts, Daniela, Gezan, Salvador A., Arief, Vivi, Fernandez, Javier A., Chapman, Scott C. and van Eeuwijk, Fred A. (2026). Reduced-rank random regression for improved yield prediction across the Australian wheatbelt. G3: Genes, Genomes, Genetics jkag272. doi: 10.1093/g3journal/jkag272 |
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2026 Other Outputs Environmental covariate data, envirotype classifications, and analysis code for wheat G×E and trialling efficiency in the Australian wheatbeltChapman, Scott, Arief, Vivi, Gho Brito, Carla and Fernandez, Javier (2026). Environmental covariate data, envirotype classifications, and analysis code for wheat G×E and trialling efficiency in the Australian wheatbelt. The University of Queensland. (Dataset) doi: 10.48610/b4394a5 |
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2026 Journal Article Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observationsChen, Qiaomin, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel T. L., Fernandez, Javier, Garba, Ismail I. and Chapman, Scott C. (2026). Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations. Artificial Intelligence in Agriculture. doi: 10.1016/j.aiia.2026.06.007 |
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2026 Journal Article Envirotypes for wheat G×E in Australia: integrating multiple environmental indices to characterise variety trialsFernandez, Javier A, Hu, Pengcheng, Arief, Vivi, Gho, Carla, Zheng, Bangyou, Ramakers, Jip, Boer, Martin, van Eeuwijk, Fred and Chapman, Scott C (2026). Envirotypes for wheat G×E in Australia: Integrating multiple environmental indices to characterise variety trials. G3: Genes, Genomes, Genetics jkag222. doi: 10.1093/g3journal/jkag222 |
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2026 Journal Article Beyond NUE: A focus on true nitrogen gains in cerealsFernandez, Javier A. and Ciampitti, Ignacio A. (2026). Beyond NUE: A focus on true nitrogen gains in cereals. European Journal of Agronomy, 173 127896, 1-6. doi: 10.1016/j.eja.2025.127896 |
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2026 Journal Article Sensor-based estimation of evapotranspiration and water use efficiency in Australian wheat variety trialsFernandez, Javier A., Gho, Carla, Smith, Daniel T., Hu, Pengcheng, Zheng, Bangyou and Chapman, Scott C. (2026). Sensor-based estimation of evapotranspiration and water use efficiency in Australian wheat variety trials. in silico Plants, 8 (1) diag009, 1-17. doi: 10.1093/insilicoplants/diag009 |
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2025 Conference Publication Cost-effective agronomic practices could unlock Australian wheat yield potentialLi, Siyi, Zheng, Bangyou, Hu, Pengcheng, Fernandez, Javier, Lei, Yeming, James, Chris, Chen, Qiaomin, Arief, Vivi and Chapman, Scott (2025). Cost-effective agronomic practices could unlock Australian wheat yield potential. The 26th International Congress on Modelling and Simulation (MODSIM2025), Adelaide, SA, Australia, 30 November-4 December 2025. |
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2025 Conference Publication WisWheat: a three-tiered vision-language dataset for wheat managementYuan, Bowen, Song, Selena, Fernandez, Javier, Luo, Yadan, Baktashmotlagh, Mahsa and Wang, Zijian (2025). WisWheat: a three-tiered vision-language dataset for wheat management. 33rd ACM International Conference on Multimedia, Dublin, Ireland, 27-31 October 2025. New York, NY, United States: ACM. doi: 10.1145/3746027.3758256 |
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2025 Journal Article The Global Wheat Full Semantic Organ Segmentation (GWFSS) datasetWang, Zijian, Zenkl, Radek, Greche, Latifa, De Solan, Benoit, Samatan, Lucas Bernigaud, Ouahid, Safaa, Visioni, Andrea, Robles-Zazueta, Carlos A., Pinto, Francisco, Perez-Olivera, Ivan, Reynolds, Matthew P., Zhu, Chen, Liu, Shouyang, D’argaignon, Marie-Pia, Lopez-Lozano, Raul, Weiss, Marie, Marzougui, Afef, Roth, Lukas, Dandrifosse, Sébastien, Carlier, Alexis, Dumont, Benjamin, Mercatoris, Benoît, Fernandez, Javier, Chapman, Scott, Najafian, Keyhan, Stavness, Ian, Wang, Haozhou, Guo, Wei, Virlet, Nicolas ... Hund, Andreas (2025). The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset. Plant Phenomics, 7 (3) 100084, 1-16. doi: 10.1016/j.plaphe.2025.100084 |
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2025 Conference Publication Physics-informed machine learning offers muti-scale remote estimation of wheat biomass dynamicsQiaomin, Chen, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel, Fernandez, Javier, Garba, Ismail and Chapman, Scott (2025). Physics-informed machine learning offers muti-scale remote estimation of wheat biomass dynamics. 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, QLD Australia, 3-8 August 2025. |
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2025 Journal Article Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systemsGarba, 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 |
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2025 Journal Article DP202216 Maize Hybrids Shift Upper Limit of C and N Partitioning to GrainPalmero, 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 1459126, 1-9. doi: 10.3389/fpls.2025.1459126 |
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2024 Journal Article On the benefit of robust Bayesian confirmatory factor analysisVaisman, Radislav, Scovell, Mitchell, Kinaev, Nikolai and Fernandez, Javier (2024). On the benefit of robust Bayesian confirmatory factor analysis. Structural Equation Modeling, 32 (4), 579-589. doi: 10.1080/10705511.2024.2431981 |
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2024 Journal Article Beyond Nue: a focus on true nitrogen gains in cerealsFernandez, Javier A. and Ciampitti, Ignacio A. (2024). Beyond Nue: a focus on true nitrogen gains in cereals. doi: 10.2139/ssrn.5046954 |
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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 |
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2024 Conference Publication Multivariate characterisation of envirotypes for wheat G×E in Australian Variety TrialsFernandez, 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. |
