| Climate trends account for stalled wheat yields in Australia since 1990 Z Hochman, DL Gobbett, H Horan Global change biology 23 (5), 2071-2081, 2017 | 294 | 2017 |
| Reprint of “Quantifying yield gaps in rainfed cropping systems: A case study of wheat in Australia” Z Hochman, D Gobbett, D Holzworth, T McClelland, H van Rees, ... Field Crops Research 143, 65-75, 2013 | 192 | 2013 |
| Early sowing systems can boost Australian wheat yields despite recent climate change JR Hunt, JM Lilley, B Trevaskis, BM Flohr, A Peake, A Fletcher, AB Zwart, ... Nature Climate Change 9 (3), 244-247, 2019 | 191 | 2019 |
| Data rich yield gap analysis of wheat in Australia Z Hochman, D Gobbett, H Horan, JN Garcia Field Crops Research 197, 97-106, 2016 | 126 | 2016 |
| Recent changes in southern Australian frost occurrence: implications for wheat production risk SJ Crimp, B Zheng, N Khimashia, DL Gobbett, S Chapman, M Howden, ... Crop and Pasture Science 67 (8), 801-811, 2016 | 109 | 2016 |
| Yield gap analysis of rainfed wheat demonstrates local to global relevance DL Gobbett, Z Hochman, H Horan, JN Garcia, P Grassini, KG Cassman The Journal of Agricultural Science 155 (2), 282-299, 2017 | 74 | 2017 |
| Towards a national, remote-sensing-based model for predicting field-scale crop yield RJ Donohue, RA Lawes, G Mata, D Gobbett, J Ouzman Field Crops Research 227, 79-90, 2018 | 70 | 2018 |
| Proximal soil sensing for Precision Agriculture: Simultaneous use of electromagnetic induction and gamma radiometrics in contrasting soils FA Rodrigues Jr, RGV Bramley, DL Gobbett Geoderma 243, 183-195, 2015 | 53 | 2015 |
| Recent seasonal and long-term changes in southern Australian frost occurrence SJ Crimp, D Gobbett, P Kokic, U Nidumolu, M Howden, N Nicholls Climatic Change 139, 115-128, 2016 | 46 | 2016 |
| Combining community-level spatial modelling and expert knowledge to inform climate adaptation in temperate grassy eucalypt woodlands and related grasslands SM Prober, DW Hilbert, S Ferrier, M Dunlop, D Gobbett Biodiversity and Conservation 21, 1627-1650, 2012 | 44 | 2012 |
| Spatio-temporal modelling of heat stress and climate change implications for the Murray dairy region, Australia U Nidumolu, S Crimp, D Gobbett, A Laing, M Howden, S Little International Journal of Biometeorology 58, 1095-1108, 2014 | 30 | 2014 |
| Modelling frost generates insights for managing risk of minimum temperature extremes DL Gobbett, U Nidumolu, S Crimp Weather and climate extremes 27, 100176, 2020 | 27 | 2020 |
| Spatial variation in response to ‘reduced input’spray programs for powdery mildew and botrytis identified through whole‐of‐block experimentation RGV Bramley, KJ Evans, KJ Dunne, DL Gobbett Australian Journal of Grape and Wine Research 17 (3), 341-350, 2011 | 25 | 2011 |
| Adoption of no-till and conservation farming practices in Australian grain growing regions: current status and trends RS Llewellyn, F D’Emden, D Gobbett Preliminary report for SA No-till Farmers Association and CAAANZ 26, 2009 | 25 | 2009 |
| Applying more nitrogen is not always sufficient to address dryland wheat yield gaps in Australia R Lawes, C Chen, J Whish, E Meier, J Ouzman, D Gobbett, G Vadakattu, ... Field Crops Research 262, 108033, 2021 | 24 | 2021 |
| Erratum to: The impact of El Niño Southern Oscillation on seasonal drought in the southern Australian grainbelt PT Hayman, AM Whitbread, DL Gobbett Crop and Pasture Science 61 (8), 677-677, 2010 | 24 | 2010 |
| PAT - Precision Agriculture Tools. v1. CSIRO. Software Collection. C Ratcliff, D Gobbett, R Bramley https://doi.org/10.25919/5c731a813b91a, 2019 | 23* | 2019 |
| Regional scale application of the precision agriculture thought process to promote improved fertilizer management in the Australian sugar industry RGV Bramley, J Ouzman, DL Gobbett Precision Agriculture 20, 362-378, 2019 | 22 | 2019 |
| A pilot project combining multispectral proximal sensors and digital cameras for monitoring tropical pastures RN Handcock, DL Gobbett, LA González, GJ Bishop-Hurley, SL McGavin Biogeosciences 13 (16), 4673-4695, 2016 | 21 | 2016 |
| EM38 and crop-soil simulation modelling can identify differences in potential crop performance on typical soil zones in the Mallee A Whitbread, R Llewellyn, D Gobbett, B Davoren Proceedings 14th Australian Agronomy Conference, 1-25, 2008 | 17 | 2008 |
Zvi HochmanChief Research Scientist, CSIRO, Agriculture and FoodVerified email at csiro.au
