Barbara George-Jaeggli
The University of Queensland, Department of Primary Industries, ETH
Research areas: Agricultural and Biological Sciences · Plant Science · Genetics and Plant Breeding · Crop Yield and Soil Fertility · Agricultural Productivity and Crop Improvement
0000-0002-9711-2759
About
The main objective of Dr George-Jaeggli's work is to increase crop yields in variable environments, be it through pushing the yield ceiling genetically or identifying optimal agronomic practices to ensure yield potentials are achieved in growers’ paddocks. She uses molecular techniques, plant and crop physiological experimentation, proximal and remote sensing and crop modelling to study individual traits at the leaf, plant and crop level.
Employment
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University of Queensland Research Fellow2015 - Present
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Department of Agriculture and Fisheries Research Scientist1996 - Present
Education
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ETH Master of Science1987 - 1991
Projects & Funding
Projects & funding information is unavailable.
Publications (56)
- Advances in Multi-Scale Remote Sensing and Machine Learning for Canopy-to-Root Phenotyping of Drought Adaptation in Sorghum: A Systematic Review Save
- Genetic Diversity of C4 Photosynthesis Pathway Genes in Sorghum bicolor (L.) Save
- Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops Save
- Understanding the diversity in yield potential and stability among commercial sorghum hybrids can inform crop designs Save
- The use of hyperspectral proximal sensing for phenotyping of plant breeding trials Save
- Visible, near-infrared and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials Save
- Effect of Soil Moisture Regimes on Growth and Seed Production of Two Australian Biotypes of Sisymbrium thellungii O. E. Schulz Save
- Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies Save
- Novel Grain Weight Loci Revealed in a Cross between Cultivated and Wild Sorghum Save
- Multi-Spectral Imaging from an Unmanned Aerial Vehicle Enables the Assessment of Seasonal Leaf Area Dynamics of Sorghum Breeding Lines Save
- Bigger is not always better: Reducing leaf area helps stay-green sorghum use soil water more slowly Save
- Genotypic variation in transpiration efficiency of sorghum is linked to variation in photosynthesis and leaf conductance Save
- Matching sorghum genotypes and management across growing environments and expected seasonal conditions Save
- Stay-green enhances lodging resistance under terminal water deficity in sorghum Save
- Updating the crop simulation model APSIM to predict yields of more specifically-adapted sorghum hybrids Save
- Using remote-sensing technologies to find genetic variation in photosynthetic capacity in sorghum Save
- Adapting rain-fed sorghum agronomy to breeding progress – Cropping system model parameterisation Save
- Adapting rain-fed sorghum agronomy to breeding progress – Cropping system model parameterisation Save
- Correlation and heritability of traits related to photosynthesis and growth in the model cereal sorghum Save
- High yielding wheat in the Northern Region Save