Bettina Berger

Research Interests

Agricultural Biotechnology Plant Physiology

APrf Bettina Berger

Grant-Funded Research Associate Professor

School of Agriculture, Food and Wine

College of Science

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

A/Prof Bettina Berger is the Node Director of the Adelaide University node of the Australian Plant Phenomics Network, the Plant Accelerator. Together with a team of experts at the Plant Accelerator, she provides plant phenotyping expertise and infrastructure to plant scientists.
 
A/Prof Berger has been developing novel plant phenotyping approaches for over 15 years and her research has been widely published. She is Chief Investigator on several GRDC funded projects and the ARC ITTC for Future Crops Development.
 
A/Prof Berger contributes to the research community not only by providing plant phenotyping services, but also through membership on multiple Scientific Advisory Committees, Assistant Editor for the Plant Phenome Journal and supervisor and co-supervisor for graduate researchers and visitors to the Plant Accelerator.

Date Position Institution name
2015 - ongoing Scientific Director The University of Adelaide
2010 - 2015 Senior Scientist The University of Adelaide
2008 - 2010 Feodor-Lynen Research Fellow ACPFG, University of Adelaide
2007 - 2008 Research Assistant University of Cologne

Language Competency
English Can read, write, speak, understand spoken and peer review
French Can read, write, speak and understand spoken
German Can read, write, speak, understand spoken and peer review

Date Institution name Country Title
2003 - 2007 International Max-Planck Research School, Cologne Germany PhD in Plant Science
2000 - 2003 Ecole Superieure de Biotechnology, Strasbourg France Master in Biotechnology
1998 - 2000 Eberhardt-Karls University, Tuebingen Germany Undergraduate Diploma in Biology

Year Citation
2026 Nguyen, T. D., Jewell, N., Brien, C., Berger, B., Johnson, A. A. T., & Watts-Williams, S. J. (2026). Growing Australian Rice in Non-Flooded Soil Increases Water Use Efficiency and Mycorrhizal Colonisation, but Reduces Grain Micronutrient Concentrations. Journal of Sustainable Agriculture and Environment, 5(2), 12 pages.
DOI
2026 Zhang, S., He, T., Han, Y., Zhou, G., Berger, B., Guo, B., & Li, C. (2026). Genetic dissection of spike morphology in Australian barley panel: Insights from a multi-model GWAS and haplotype analysis. Journal of Integrative Agriculture.
DOI
2026 Adel, A., Pullanagari, R., Alani, N. H. S., Al-Rawi, M., Fouzia, S., & Berger, B. (2026). Drones-of-the-Future in Agriculture 5.0 – Automation, integration, and optimisation. Agricultural Systems, 231, 104543.
DOI Scopus6 WoS7
2026 Baumann, U., Kalashyan, E., Schwerdt, J., Box, A., Brien, C., Chalmers, K., . . . Berger, B. (2026). OzBarley: A genetic and phenotypic data resource capturing the Australian barley breeding history.. Scientific data, 13(1), 11 pages.
DOI
2025 Xie, Y., Roy, S. J., Schilling, R. K., Berger, B., & Liu, H. (2025). Hyperspectral-based classification of individual wheat plants into fine-scale reproductive stages. Plant Methods, 21(1), 146-1-146-20.
DOI Scopus2 WoS2
2025 Gill, A. R., Loveys, B. R., Brien, C. J., Jewell, N., Berger, B., Cavagnaro, T. R., & Burton, R. A. (2025). Phenotyping of industrial hemp (Cannabis sativa) genotypes with different growth habits. Functional Plant Biology, 52(8), 13 pages.
DOI Scopus1
2025 Weinberger, N. V., Cibils-Stewart, X., Brien, C., Jewell, N., Berger, B., Cavagnaro, T. R., . . . Powell, J. R. (2025). Plant phenotyping and root-associated metabolomics reveal insights into pathogen protection by diverse arbuscular mycorrhizal fungi. Plants, People, Planet, 7(4), 1180-1194.
DOI Scopus4 WoS5
2025 Iqbal, N., Brien, C., Jewell, N., Berger, B., Zhou, Y., Denison, R. F., & Denton, M. D. (2025). Chickpea displays a temporal growth response to Mesorhizobium strains under well-watered and drought conditions.. Physiologia plantarum, 177(1), e70041-1-e70041-11.
DOI Europe PMC1
2024 Morton, M., Fiene, G., Ahmed, H. I., Rey, E., Abrouk, M., Angel, Y., . . . Julkowska, M. M. (2024). Deciphering salt stress responses in Solanum pimpinellifolium through high-throughput phenotyping. The Plant Journal, 119(5), 2514-2537.
DOI Scopus14 WoS12 Europe PMC5
2023 Ngo, H. T. T., Cavagnaro, T. R., Jewell, N., Brien, C. J., Berger, B., & Watts-Williams, S. J. (2023). High-throughput shoot phenotyping reveals temporal growth responses to nitrogen and inorganic and organic phosphorus sources in tomato. AoB Plants, 15(2), plad011-1-plad011-11.
DOI Scopus4 WoS4 Europe PMC1
2023 Bicharanloo, B., Salomon, M. J., Cavagnaro, T. R., Keitel, C., Brien, C., Jewell, N., . . . Dijkstra, F. A. (2023). Arbuscular mycorrhizae are important for phosphorus uptake and root biomass, and exudation for nitrogen uptake in tomato plants grown under variable water conditions. Plant and Soil, 490(1-2), 325-342.
DOI Scopus5 WoS5
2022 Watts-Fawkes, S., Gill, A. R., Jewell, N., Brien, C. J., Berger, B., Tran, B. T. T., . . . Cavagnaro, T. R. (2022). Enhancement of sorghum grain yield and nutrition: A role for arbuscular mycorrhizal fungi regardless of soil phosphorus availability. Plants, People, Planet, 4(2), 143-156.
DOI Scopus39 WoS32
2022 Dunlevy, J. D., Blackmore, D. H., Betts, A., Jewell, N., Brien, C., Berger, B., . . . Walker, A. R. (2022). Investigating the effects of elevated temperature on salinity tolerance traits in grapevine rootstocks using high‐throughput phenotyping. Australian Journal of Grape and Wine Research, 28(2), 276-291.
DOI Scopus12 WoS9
2022 Tanner, F., Tonn, S., de Wit, J., Van den Ackerveken, G., Berger, B., & Plett, D. (2022). Sensor-based phenotyping of above-ground plant-pathogen interactions.. Plant Methods, 18(1), 35-1-35-18.
DOI Scopus39 WoS34 Europe PMC18
2022 Asif, M. A., Garcia, M., Tilbrook, J., Brien, C., Dowling, K., Berger, B., . . . Pearson, A. S. (2022). Corrigendum to: Identification of salt tolerance QTL in a wheat RIL mapping population using destructive and non-destructive phenotyping. Functional Plant Biology, 49(7), 672.
DOI Scopus4 WoS2 Europe PMC2
2022 Ball, K. R., Liu, H., Brien, C., Berger, B., Power, S. A., & Pendall, E. (2022). Hyperspectral imaging predicts yield and nitrogen content in grass-legume polycultures. Precision Agriculture, 23(6), 2270-2288.
DOI Scopus14 WoS12
2022 Lethin, J., Byrt, C., Berger, B., Brien, C., Jewell, N., Roy, S., . . . Aronsson, H. (2022). Improved Salinity Tolerance-Associated Variables Observed in EMS Mutagenized Wheat Lines. International Journal of Molecular Sciences, 23(19), 1-20.
DOI Scopus15 WoS14 Europe PMC7
2022 Langridge, P., Alaux, M., Almeida, N. F., Ammar, K., Baum, M., Bekkaoui, F., . . . Zhang, X. (2022). Meeting the Challenges Facing Wheat Production: The Strategic Research Agenda of the Global Wheat Initiative. Agronomy, 12(11), 2767-1-2767-17.
DOI Scopus61 WoS54
2021 Ball, K. R., Woodin, S. J., Power, S. A., Brien, C., Berger, B., Smith, P., & Pendall, E. (2021). Integrating Ecological Stoichiometry to Understand Nutrient Limitation and Potential for Competition in Mixed Pasture Assemblages. Journal of Soil Science and Plant Nutrition, 21(3), 2489-2500.
DOI Scopus4 WoS5
2021 Borjigin, C., Schilling, R. K., Jewell, N., Brien, C., Sanchez-Ferrero, J. C., Eckermann, P., . . . Roy, S. (2021). Identifying the genetic control of salinity tolerance in the bread wheat landrace Mocho de Espiga Branca. Functional Plant Biology, 48(11), 1148-1160.
DOI Scopus17 WoS14 Europe PMC9
2021 Salomon, M. J., Watts-Williams, S. J., McLaughlin, M. J., Brien, C. J., Jewell, N., Berger, B., & Cavagnaro, T. R. (2021). Evaluation of commercial composts and potting mixes and their ability to support arbuscular mycorrhizal fungi with maize (Zea mays) as host plant.. Waste Management, 134, 187-196.
DOI Scopus9 WoS7 Europe PMC4
2021 Matros, A., Houston, K., Tucker, M. R., Schreiber, M., Berger, B., Aubert, M. K., . . . Burton, R. A. (2021). Genome-wide association study reveals the genetic complexity of fructan accumulation patterns in barley grain. Journal of Experimental Botany, 72(7), 2383-2402.
DOI Scopus19 WoS19 Europe PMC18
2021 Asif, M. A., Garcia, M., Tilbrook, J., Brien, C., Dowling, K., Berger, B., . . . Pearson, A. S. (2021). Identification of salt tolerance QTL in a wheat RIL mapping population using destructive and non-destructive phenotyping. Functional Plant Biology, 48(2), 131-140.
DOI Scopus32 WoS24 Europe PMC18
2021 Tran, B. T. T., Cavagnaro, T. R., Jewell, N., Brien, C., Berger, B., & Watts‐Williams, S. J. (2021). High‐throughput phenotyping reveals growth of Medicago truncatula is positively affected by arbuscular mycorrhizal fungi even at high soil phosphorus availability. Plants, People, Planet, 3(5), 600-613.
DOI Scopus13 WoS14
2020 Konate, M., Wilkinson, M. J., Taylor, J., Scott, E. S., Berger, B., & Rodriguez Lopez, C. M. (2020). Greenhouse spatial effects detected in the barley (Hordeum vulgare L.) Epigenome underlie stochasticity of DNA methylation. Frontiers in Plant Science, 11, 553907-1-553907-15.
DOI Scopus5 WoS4 Europe PMC4
2020 Ball, K. R., Power, S. A., Brien, C., Woodin, S., Jewell, N., Berger, B., & Pendall, E. (2020). High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass-legume mixture.. PLoS One, 15(10), e0239673-1-e0239673-18.
DOI Scopus14 WoS11 Europe PMC3
2020 Brien, C., Jewell, N., Watts-Williams, S. J., Garnett, T., & Berger, B. (2020). Smoothing and extraction of traits in the growth analysis of noninvasive phenotypic data.. Plant Methods, 16(1), 36-1-36-21.
DOI Scopus24 WoS24 Europe PMC14
2020 Matros, A., Houston, K., Tucker, M., Schreiber, M., Berger, B., Aubert, M., . . . Burton, R. (2020). GWAS reveals the genetic complexity of fructan accumulation patterns in barley grain.
DOI Europe PMC1
2020 Liu, H., Bruning, B., Garnett, T., & Berger, B. (2020). Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing. Computers and Electronics in Agriculture, 175, 105621-1-105621-13.
DOI Scopus125 WoS112
2020 Bruning, B., Berger, B., Lewis, M., Liu, H., & Garnett, T. (2020). Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat. Plant Phenome Journal, 3(1), e20007-1-e20007-22.
DOI Scopus40
2020 Saade, S., Brien, C., Pailles, Y., Berger, B., Shahid, M., Russell, J., . . . Tester, M. (2020). Dissecting new genetic components of salinity tolerance in two-row spring barley at the vegetative and reproductive stages. PloS one, 15(7), e0236037-1-e0236037-19.
DOI Scopus31 WoS28 Europe PMC17
2020 Liu, H., Bruning, B., Garnett, T., & Berger, B. (2020). The performances of hyperspectral sensors for proximal sensing of nitrogen levels in wheat. Sensors, 20(16), 4550-1-4550-21.
DOI Scopus44 WoS41 Europe PMC17
2020 Broad, R. C., Bonneau, J. P., Beasley, J. T., Roden, S., Sadowski, P., Jewell, N., . . . Johnson, A. A. T. (2020). Effect of Rice GDP-L-Galactose Phosphorylase Constitutive Overexpression on Ascorbate Concentration, Stress Tolerance, and Iron Bioavailability in Rice. Frontiers in Plant Science, 11, 595439-1-595439-13.
DOI Scopus24 WoS23 Europe PMC17
2019 Bruning, B., Liu, H., Brien, C., Berger, B., Lewis, M., & Garnett, T. (2019). The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum).. Frontiers in plant science, 10, 1380.
DOI Scopus71 WoS65 Europe PMC19
2019 Pham, A. T., Maurer, A., Pillen, K., Brien, C., Dowling, K., Berger, B., . . . March, T. J. (2019). Genome-wide association of barley plant growth under drought stress using a nested association mapping population. BMC Plant Biology, 19(1), 134-1-134-16.
DOI Scopus74 WoS68 Europe PMC39
2019 Riley, R., Cavagnaro, T., Brien, C., Smith, F. A., Smith, S., Berger, B., . . . Powell, J. (2019). Resource allocation to growth or luxury consumption drives mycorrhizal responses. Ecology Letters, 22(11), 1757-1766.
DOI Scopus39 WoS40 Europe PMC13
2019 Watts-Fawkes, S. J., Jewell, N., Brien, C., Berger, B., Garnett, T., & Cavagnaro, T. R. (2019). Using High-Throughput Phenotyping to Explore Growth Responses to Mycorrhizal Fungi and Zinc in Three Plant Species. Plant Phenomics, 2019, 5893953-1-5893953-12.
DOI Scopus27 WoS23 Europe PMC9
2019 Watts-Williams, S. J., Jewell, N., Brien, C., Berger, B., Garnett, T., & Cavagnaro, T. R. (2019). Using High-Throughput Phenotyping to Explore Growth Responses to Mycorrhizal Fungi and Zinc in Three Plant Species. Plant Phenomics, 2019, 1-12.
DOI
2019 Ward, B., Brien, C., Oakey, H., Pearson, A., Negrão, S., Schilling, R. K., . . . Van Den Hengel, A. (2019). High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). The Plant Journal, 98(3), 555-570.
DOI Scopus20 WoS17 Europe PMC14
2018 Asif, M. A., Schilling, R. K., Tilbrook, J., Brien, C., Dowling, K., Rabie, H., . . . Pearson, A. S. (2018). Mapping of novel salt tolerance QTL in an Excalibur x Kukri doubled haploid wheat population. Theoretical and Applied Genetics, 131(10), 2179-2196.
DOI Scopus65 WoS55 Europe PMC36
2018 Konate, M., Wilkinson, M., Mayne, B., Pederson, S., Scott, E., Berger, B., & Rodriguez Lopez, C. (2018). Salt Stress Induces Non-CG Methylation in Coding Regions of Barley Seedlings (Hordeum vulgare). Epigenomes, 2(2), 12.
DOI Scopus27 WoS24
2018 Yichie, Y., Brien, C., Berger, B., Roberts, T., & Atwell, B. (2018). Salinity tolerance in Australian wild Oryza species varies widely and matches that observed in O. sativa. Rice, 11(1), 14 pages.
DOI Scopus44 WoS40 Europe PMC28
2018 Konaté, M., Wilkinson, M. J., Mayne, B. T., Pederson, S. M., Scott, E. S., Berger, B., & Rodriguez Lopez, C. M. (2018). Salt Stress Induces Non-CG Methylation in Coding Regions of Barley Seedlings (Hordeum vulgare). Epigenomes, 2(2), 12.
DOI
2017 Meng, R., Saade, S., Kurtek, S., Berger, B., Brien, C., Pillen, K., . . . Sun, Y. (2017). Growth curve registration for evaluating salinity tolerance in barley. Plant Methods, 13(1), 18-1-18-9.
DOI Scopus37 WoS28 Europe PMC13
2017 Atieno, J., Li, Y., Langridge, P., Dowling, K., Brien, C., Berger, B., . . . Sutton, T. (2017). Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping. Scientific Reports, 7(1), 11 pages.
DOI Scopus129 WoS96 Europe PMC57
2017 Campbell, M., Du, Q., Liu, K., Brien, C., Berger, B., Zhang, C., & Walia, H. (2017). A comprehensive image-based phenomic analysis reveals the complex genetic architecture of shoot growth dynamics in rice (Oryza sativa). Plant Genome, 10(2), 1-14.
DOI Scopus45 WoS35 Europe PMC32
2017 Tilbrook, J., Schilling, R., Berger, B., Garcia, A., Trittermann, C., Coventry, S., . . . Roy, S. (2017). Variation in shoot tolerance mechanisms not related to ion toxicity in barley. Functional Plant Biology, 44(12), 1194-1206.
DOI Scopus22 WoS23 Europe PMC2
2017 Qiongyan, L., Cai, J., Berger, B., Okamoto, M., & Miklavcic, S. (2017). Detecting spikes of wheat plants using neural networks with Laws texture energy. Plant Methods, 13(1), 83-1-83-13.
DOI Scopus77 WoS43 Europe PMC30
2016 Al-Tamimi, N., Brien, C., Oakey, H., Berger, B., Saade, S., Ho, Y., . . . Negrão, S. (2016). Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping. Nature Communications, 7(13342), 13342-1-13342-11.
DOI Scopus210 WoS185 Europe PMC138
2015 Neilson, E., Edwards, A., Blomstedt, C., Berger, B., Møller, B., & Gleadow, R. (2015). Utilization of a high-throughput shoot imaging system to examine the dynamic phenotypic responses of a C₄ cereal crop plant to nitrogen and water deficiency over time. Journal of Experimental Botany, 66(7), 1817-1832.
DOI Scopus183 WoS158 Europe PMC107
2015 Schmöckel, S., Garcia, A., Berger, B., Tester, M., Webb, A., & Roy, S. (2015). Different NaCl-induced calcium signatures in the arabidopsis thaliana ecotypes Col-0 and C24. PLoS One, 10(2), e0117564-1-e0117564-9.
DOI Scopus22 WoS16 Europe PMC15
2015 Campbell, M., Knecht, A., Berger, B., Brien, C., Wang, D., & Walia, H. (2015). Integrating image-based phenomics and association analysis to dissect the genetic architecture of temporal salinity responses in rice. Plant Physiology, 168(4), 1476-1489.
DOI Scopus142 WoS121 Europe PMC105
2015 Parent, B., Shahinnia, F., Maphosa, L., Berger, B., Rabie, H., Chalmers, K., . . . Fleury, D. (2015). Combining field performance with controlled environment plant imaging to identify the genetic control of growth and transpiration underlying yield response to water-deficit stress in wheat. Journal of Experimental Botany, 66(18), 5481-5492.
DOI Scopus74 WoS60 Europe PMC39
2015 Takahashi, F., Tilbrook, J., Trittermann, C., Berger, B., Roy, S., Seki, M., . . . Tester, M. (2015). Comparison of leaf sheath transcriptome profiles with physiological traits of bread wheat cultivars under salinity stress. PLoS One, 10(8), e0133322-1-e0133322-23.
DOI Scopus38 WoS34 Europe PMC21
2014 Hairmansis, A., Berger, B., Tester, M., & Roy, S. (2014). Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice. Rice, 7(1), 16-1-16-10.
DOI Scopus184 WoS142 Europe PMC88
2014 Schilling, R., Marschner, P., Shavrukov, Y., Berger, B., Tester, M., Roy, S., & Plett, D. (2014). Expression of the Arabidopsis vacuolar H⁺-pyrophosphatase gene (AVP1) improves the shoot biomass of transgenic barley and increases grain yield in a saline field. Plant Biotechnology Journal, 12(3), 378-386.
DOI Scopus147 WoS125 Europe PMC89
2014 Honsdorf, N., March, T., Berger, B., Tester, M., & Pillen, K. (2014). High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines. PLoS One, 9(5), e97047-1-e97047-13.
DOI Scopus222 WoS176 Europe PMC131
2014 Frerigmann, H., Berger, B., & Gigolashvili, T. (2014). bHLH05 is an interaction partner of MYB51 and a novel regulator of glucosinolate biosynthesis in arabidopsis. Plant Physiology, 166(1), 349-369.
DOI Scopus103 WoS99 Europe PMC72
2013 Hayes, J., Pallotta, M., Baumann, U., Berger, B., Langridge, P., & Sutton, T. (2013). Germanium as a tool to dissect boron toxicity effects in barley and wheat. Functional Plant Biology, 40(6), 618-627.
DOI Scopus25 WoS19 Europe PMC2
2013 Brien, C., Berger, B., Rabie, H., & Tester, M. (2013). Accounting for variation in designing greenhouse experiments with special reference to greenhouses containing plants on conveyor systems. Plant Methods, 9(5), 1-22.
DOI Scopus48 WoS42 Europe PMC33
2011 golzarian, M., Frick, R., Rajendran, K., Berger, B., Roy, S., Tester, M., & Lun, D. (2011). Accurate inference of shoot biomass from high-throughput images of cereal plants. Plant Methods, 7(2), 1-11.
DOI Scopus287 WoS241 Europe PMC145
2010 Berger, B., Parent, B., & Tester, M. (2010). High-throughput shoot imaging to study drought responses. Journal of Experimental Botany, 61(13), 3519-3528.
DOI Scopus305 WoS232 Europe PMC141
2009 Gigolashvili, T., Berger, B., & Flugge, U. (2009). Specific and coordinated control of indolic and aliphatic glucosinolate biosynthesis by R2R3-MYB transcription factors in Arabidopsis thaliana. Phytochemistry Reviews: fundamentals and perspectives of natural products research, 8(1), 3-13.
DOI Scopus132 WoS123
2008 Roy, S., Gilliham, M., Berger, B., Essah, P., Cheffings, C., Miller, A., . . . Tester, M. (2008). Investigating glutamate receptor-like gene co-expression in Arabidopsis thaliana. Plant Cell and Environment, 31(6), 861-871.
DOI Scopus109 WoS98 Europe PMC79
2007 Gigolashvili, T., Yatusevich, R., Berger, B., Muller, C., & Flugge, U. (2007). The R2R3-MYB transcription factor HAG1/MYB28 is a regulator of methionine-derived glucosinolate biosynthesis in Arabidopsis thaliana. Plant Journal, 51(2), 247-261.
DOI Scopus376 WoS375 Europe PMC288
2007 Gigolashvili, T., Berger, B., Mock, H., Muller, C., Weisshaar, B., & Flugge, U. (2007). The transcription factor HIG1/MYB51 regulates indolic glucosinolate biosynthesis in Arabidopsis thaliana. Plant Journal, 50(5), 886-901.
DOI Scopus358 WoS349 Europe PMC284
2007 Berger, B., Stracke, R., Yatusevich, R., Weisshaar, B., Flugge, U., & Gigolashvili, T. (2007). A simplified method for the analysis of transcription factor-promoter interactions that allows high-throughput data generation. Plant Journal, 50(5), 911-916.
DOI Scopus43 WoS43 Europe PMC36

Year Citation
2020 Konate, M., J. Wilkinson, M., T. Mayne, B., S. Scott, E., Berger, B., & M. Rodríguez López, C. (2020). Atlas of Age- and Tissue-Specific DNA Methylation during Early Development of Barley (Hordeum vulgare). In M. Budak, & M. Yildiz (Eds.), DNA Methylation Mechanism (pp. 1-21). IntechOpen.
DOI
2018 Hansen, N. J. S., Plett, D., Berger, B., & Garnett, T. (2018). Tackling Nitrogen Use Efficiency in Cereal Crops Using High-Throughput Phenotyping. In A. Shrawat, A. Zayed, & D. A. Lightfoot (Eds.), Engineering Nitrogen Utilization in Crop Plants (pp. 121-139). Switzerland: Springer.
DOI Scopus8
2013 Berger, B., de Regt, B., & Tester, M. (2013). Applications of high-throughput plant phenotyping to study nutrient use efficiency. In F. J. M. Maathuis (Ed.), Plant mineral nutrients: methods in molecular biology (Vol. 953, pp. 277-290). Online: Humana Press.
DOI Scopus6 Europe PMC1
2012 Berger, B., de Regt, S., & Tester, M. (2012). Trait dissection of salinity tolerance with plant phenomics. In S. Shabala, & T. Cuin (Eds.), Plant Salt Tolerance: Methods and Protocols (Vol. 913, pp. 399-413). USA: Humana Press.
DOI Scopus29 Europe PMC22
2012 Berger, B., de Regt, S., & Tester, M. (2012). High-throughput phenotyping of plant shoots. In J. Normanly (Ed.), High-Throughput Phenotyping in Plants: Methods and Protocols (Vol. 918, 1 ed., pp. 9-20). USA: Springer.
DOI Scopus53 Europe PMC26
2010 Plett, D., Berger, B., & Tester, M. (2010). Genetic determinants of salinity tolerance in crop plants. In M. Jenks, & A. Wood (Eds.), Genes for Plant Abiotic Stress (pp. 83-111). USA: Blackwell Publishers Inc.
DOI
2009 Plett, D., Berger, B., & Tester, M. (2009). Genetic Determinants of Salinity Tolerance in Crop Plants. In Genes for Plant Abiotic Stress (pp. 81-111). Wiley.
DOI Scopus4

Year Citation
2015 Ward, B., Bastian, J., van den Hengel, A., Pooley, D., Rajendra, B., Berger, B., & Tester, M. (2015). A model-based approach to recovering the structure of a plant from images. In L. Agapito, M. Bronstein, & C. Rother (Eds.), Proceedings of the 13th European Conference on Computer Vision Workshops (ECCV 2014), as published in Lecture Notes in Computer Science Vol. 8928 (pp. 215-230). Switzerland: Springer International Publishing.
DOI Scopus3 WoS3
2014 Qiongyan, L., Cai, J., Berger, B., & Miklavcic, S. (2014). Study on spike detection of cereal plants. In Proceedings of the 2014 13th International Conference on Control Automation Robotics and Vision (pp. 228-233). US: Institute of Electrical and Electronics Engineers Inc..
DOI Scopus4 WoS3
2004 Gigolashvili, T., Schneider, A., Berger, B., Mock, H. P., & Fluegge, U. (2004). IDENTIFICATION AND CHARACTERISATION OF NEW TRANSCRIPTIONAL FACTORS INVOLVED IN PLANT SECONDARY METABOLISM USING <i>A</i>. <i>THALIANA</i> ACTIVATION TAGGED LINES. In ACTA PHYSIOLOGIAE PLANTARUM Vol. 26 (pp. 151-152). SPRINGER HEIDELBERG.
- Liu, H., Pullanagari, R., Campbell, D., Denlay, M., Hennekam, M., Dadu, H., . . . Berger, B. (2026). Detection of Net Blotch Disease of Barley Using UAV-Based RGB and Multispectral Imagery at Plot Scale. In The 5th International Electronic Conference on Agronomy (IECAG 2025) (pp. 7). MDPI.
DOI

Year Citation
2019 Liu, H., Bruning, B., Berger, B., & Garnett, T. (2019). Green plant segmentation in hyperspectral images using SVM and hyper-hue. Poster session presented at the meeting of Proceedings: 7th International Workshop on Image Analysis Methods for the Plant Sciences (IAMPS 2019). Lyon, France.
2016 Konate, M., Wilkinson, M. J., Scott, E., Mayne, B., Berger, B., & Rodriguez Lopez, C. M. (2016). Tissue specificity of salinity stress induced DNA methylation markers in barley (Hordeum vulgare). Poster session presented at the meeting of ComBio 2016. Brisbane.

Year Citation
- Gill, A., Loveys, B., Brien, C., Jewell, N., Berger, B., Cavagnaro, T., & Burton, R. (n.d.). Data for phenotyping of industrial hemp (<i>Cannabis sativa</i> L.) experiments.
DOI
- Berger, B., Tucker, M., Baumann, U., Kalashyan, E., Schwerdt, J., Chalmers, K., . . . Shaw, P. D. (n.d.). OzBarley: genotypic and expression data of the OzBarley elite panel.
DOI
- Berger, B., Tucker, M., Baumann, U., Kalashyan, E., Schwerdt, J., Chalmers, K., . . . Shaw, P. D. (n.d.). OzBarley: phenotypic data of OzBarley elite panel collected in greenhouse trials at Australian Plant Phenomics Network, University of Adelaide.
DOI
- Borjigin, C., Schilling, R., Jewell, N., Brien, C., Sanchez, J. C., Eckermann, P., . . . Roy, S. (n.d.). Identifying the genetic control of salinity tolerance in the bread wheat landrace Mocho de Espiga Branca - data.
DOI
- Schwerdt, J., Berger, B., & Sainsbury, G. (n.d.). OzBarley_test.
DOI
- Berger, B. (n.d.). OzBarley: raw images from controlled environment growth experiment of OzBarley elite panel.
DOI
- Berger, B., Jewell, N., Brien, C., Power, S., Woodin, S., Pendall, E., & Ball, K. (n.d.). Supplementary data - High-throughput, image-based phenotyping reveals nutrient-dependent growth facilitation in a grass – legume mixture - PLoS One.
DOI
- Liu, H., Berger, B., Garnett, T., & Bruning, B. (n.d.). public data for wheat_n experiment.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA (Berger) - Various (Student).
DOI
- Berger, B., & Wilkinson, M. (n.d.). APPF TPA phenotyping dataset: UA AFW (Konate, Wilkinson) - Barley.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: Ecovortek (Berger) - Various.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: EPPN (Berger) - Canola.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: EPPN (Berger) - Maize (1).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: EPPN (Berger) - Maize (2).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: TU Muenchen (Kipp, Berger) - Wheat.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA ACPFG (Berger) - Chickpea (Wheat).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA AFW (Konate, Wilkinson) - Barley.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA (Hansen) - Wheat.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger, Burton) - Barley.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Fake (EPPN N).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Fake (EPPN S).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Maize (leaf rolling).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Quinoa (trial 2).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Rice.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Rice.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Tomato.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger, UGradPrj) - Tomato.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger, VanDenHengel) - Wheat (3D).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Various (camera calibration).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Various (evap 2014).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Various (leaf tracking).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Various (shadow 2014).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Wheat.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Wheat (2010 salt).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Wheat (root 2013).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Berger) - Wheat (UniformityTrial).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Bruning) - Wheat.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (MacAlpine, Berger) - Lantana.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (MacAlpine, Berger) - Various.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, Berger) - Various.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, Berger) - Various (N July).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, Berger) - Various (N June).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, Berger) - Various (S July).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, Berger) - Various (S June).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Mischis, KAUST) - Quinoa (pilot).
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Tanner) - Chickpea.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Tanner) - Chickpea.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UA TPA (Tester, Berger) - Wheat.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UCopenhagen (Jall) - Maize.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: Uni Sask (Beattie, Murrell) - Barley.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: Uni Sask (Taran) - Chickpea.
DOI
- Berger, B. (n.d.). APPF TPA phenotyping dataset: UniSA (Seiffert, Berger) - Various.
DOI

Year Citation
2020 Konate, M., Wilkinson, M., Taylor, J., Scott, E., Berger, B., & Rodriguez Lopez, C. M. (2020). Greenhouse spatial effects detected in the barley ( <i>Hordeum vulgare</i> L.) epigenome underlie stochasticity of DNA methylation.
DOI

Recent grants and funding:

Dates Role Grant
2020-2022 Lead CI Australian Research Data Commons - OzBarley, from genome to phenome and back
2018-2023 CI National Collaborative Research Infrastructure Strategy (NCRIS) – Australian Plant Phenomics Facility
2013-2019 CI National Collaborative Research Infrastructure Strategy (NCRIS) – Australian Plant Phenomics Facility
2019-2023 CI SA Department for Industry and Skills – The Plant Accelerator
2020-2023 Lead CI

GRDC – Improved late maturity alpha-amylase screening
2020-2023 CI AgriFutures - New technologies for oaten hay phenotyping
2020-2022 CI GRDC – Machine learning to extract maximum value from soil and crop variability
2019-2021 CI GRDC plus co-contributions – Accelerating wheat genetic gain by establishing a high-throughput spike phenotyping platform
2018-2019 CI Australian Research Data Commons – Agricultural Research Data Cloud
2013-2016 CI GRDC – Development of salinity tolerant wheat and barley

 

Date Role Research Topic Program Degree Type Student Load Student Name
2025 Principal Supervisor Novel Field-based Phenotyping Methods for Trait Evaluation Doctor of Philosophy Doctorate Full Time Mr Qiwei Shen
2025 Principal Supervisor Novel Field-based Phenotyping Methods for Trait Evaluation Doctor of Philosophy Doctorate Full Time Mr Qiwei Shen
2023 Principal Supervisor Exploiting new breakthroughs in the regulation of root growth angle to engineer climate resilient Australian barley Doctor of Philosophy under a Jointly-awarded Degree Agreement with Doctorate Full Time Mr Maxwell Asiedu
2023 Principal Supervisor Exploiting new breakthroughs in the regulation of root growth angle to engineer climate resilient Australian barley Doctor of Philosophy Doctorate Full Time Mr Maxwell Asiedu

Date Role Research Topic Program Degree Type Student Load Student Name
2019 - 2023 Principal Supervisor Development of Sensor-based Phenotyping Methods for Ascochyta Blight Resistance Breeding of Chickpea Doctor of Philosophy Doctorate Full Time Mr Florian Carl-August Tanner
2016 - 2020 Principal Supervisor The Measurement of Nutrient Levels and Yield Constraints in Wheat (Triticum aestivum) Using Hyperspectral Sensing Doctor of Philosophy Doctorate Full Time Mrs Brooke Bruning
2015 - 2019 Co-Supervisor Quantifying Nitrogen Use Efficiency in Wheat Using High-Precision Phenotyping Doctor of Philosophy Doctorate Full Time Mr Nicholas John Sitlington Hansen
2013 - 2017 Principal Supervisor Assessment of Stress-induced and Developmentally-induced DNA Methylation Changes in Barley (Hordeum vulgare L.) Doctor of Philosophy Doctorate Full Time Mr Moumouni Konate
2012 - 2014 Co-Supervisor Salinity detection and control of sodium transport in Arabidopsis thaliana Doctor of Philosophy Doctorate Full Time Miss Sandra Manuela Schmoeckel
2010 - 2014 Co-Supervisor Modifying sodium transport to improve salinity tolerance of commercial rice cultivars (Oryza sativa L.) Doctor of Philosophy Doctorate Full Time Mr . Aris Hairmansis

Date Role Board name Institution name Country
2019 - ongoing Member International Advisory Board Netherland Plant Eco-phenotyping Centre Netherlands

Date Role Committee Institution Country
2026 - ongoing Member International Conference Committee International Plant Phenotyping Symposium Ghana
2021 - ongoing Member Scientific Advisory Committee South Australian Genomics Centre Australia
2021 - ongoing Member Scientific Advisory Committee ARC Centre of Excellence for Plant Success in Nature and Agriculture Australia

Date Office Name Institution Country
2015 - ongoing Chair - Expert Working Group - Wheat Phenotyping to Support Wheat Improvement Wheat Initative -

Date Title Type Institution Country
2026 - ongoing Assistant Editor Journal Review The Plant Phenome Journal United States

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