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2021 Journal Article Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoringSadeh, Yuval, Zhu, Xuan, Dunkerley, David, Walker, Jeffrey P., Zhang, Yuxi, Rozenstein, Offer, Manivasagam, V. S. and Chenu, Karine (2021). Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring. International Journal of Applied Earth Observation and Geoinformation, 96 102260, 102260. doi: 10.1016/j.jag.2020.102260 |
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2021 Conference Publication Increasing heat tolerance in wheat in West AustraliaChenu, Karine, Collins, Brian, Ullah, Najeeb, Frederiks, Troy and Christopher, Jack (2021). Increasing heat tolerance in wheat in West Australia. GRDC Updates, Perth, WA Australia, 23-23 February 2021. Barton, ACT Australia: Grains Research and Development Corporation. |
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2021 Journal Article Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivityCollins, Brian, Chapman, Scott, Hammer, Graeme and Chenu, Karine (2021). Limiting transpiration rate in high evaporative demand conditions to improve Australian wheat productivity. in silico Plants, 3 (1) diab006, 1-16. doi: 10.1093/insilicoplants/diab006 |
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2021 Book Chapter BarleyMiralles, Daniel J., Abeledo, L. Gabriela, Prado, Santiago Alvarez, Chenu, Karine, Serrago, Román A. and Savin, Roxana (2021). Barley. Crop Physiology Case Histories for Major Crops. (pp. 164-195) edited by Victor O. Sadras and Daniel F. Calderini. London, United Kingdom: Elsevier. doi: 10.1016/B978-0-12-819194-1.00004-9 |
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2021 Journal Article Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climateCollins, Brian and Chenu, Karine (2021). Improving productivity of Australian wheat by adapting sowing date and genotype phenology to future climate. Climate Risk Management, 32 100300, 1-18. doi: 10.1016/j.crm.2021.100300 |
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2021 Conference Publication Wheat yield prediction using fused CubeSat and Sentinel-2 imagerySadeh, Y., Zhu, X., Dunkerley, D., Walker, J. P. and Chenu, K. (2021). Wheat yield prediction using fused CubeSat and Sentinel-2 imagery. European Conference on Precision Agriculture , Budapest, Hungary, 19-22 July 2021. Wageningen, The Netherlands: Wageningen Academic Publishers. doi: 10.3920/978-90-8686-916-9_69 |
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2020 Conference Publication Sentinel-2 and Planetscope Data Fusion into Daily 3 M Images for Leaf Area Index MonitoringSadeh, Yuval, Zhu, Xuan, Dunkerley, David, Walker, Jeffrey P., Zhang, Yuxi, Rozenstein, Offer, Manivasagam, V. S. and Chenu, Karine (2020). Sentinel-2 and Planetscope Data Fusion into Daily 3 M Images for Leaf Area Index Monitoring. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI United States, 26 September - 2 October 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS39084.2020.9324336 |
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2020 Journal Article Variation in Australian durum wheat germplasm for productivity traits under irrigated and rainfed conditions: genotype performance for agronomic traits and benchmarkingKadkol, Gururaj, Smith, Alison, Cullis, Brian and Chenu, Karine (2020). Variation in Australian durum wheat germplasm for productivity traits under irrigated and rainfed conditions: genotype performance for agronomic traits and benchmarking. Journal of Agricultural Science, 158 (6), 479-495. doi: 10.1017/S0021859620000817 |
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2020 Journal Article Early vigour in wheat: could it lead to more severe terminal drought stress under elevated atmospheric [CO2] and semi‐arid conditions?Bourgault, Maryse, Webber, Heidi A., Chenu, Karine, O’Leary, Garry J., Gaiser, Thomas, Siebert, Stefan, Dreccer, Fernanda, Huth, Neil, Fitzgerald, Glenn J., Tausz, Michael and Ewert, Frank (2020). Early vigour in wheat: could it lead to more severe terminal drought stress under elevated atmospheric [CO2] and semi‐arid conditions?. Global Change Biology, 26 (7) gcb.15128, 4079-4093. doi: 10.1111/gcb.15128 |
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2020 Journal Article Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian wheatbeltAbabaei, Behnam and Chenu, Karine (2020). Heat shocks increasingly impede grain filling but have little effect on grain setting across the Australian wheatbelt. Agricultural and Forest Meteorology, 284 107889, 107889. doi: 10.1016/j.agrformet.2019.107889 |
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2020 Conference Publication Integrating crop modelling, physiology and genetics to aid crop improvement in changing environmentsChenu, K., Harris, C. and Ababaei, B. (2020). Integrating crop modelling, physiology and genetics to aid crop improvement in changing environments. iCROPM, Montpellier, France, 3-7 October 2020. |
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2020 Conference Publication Estimating daily leaf area index with a 3m resolution using CubeSats satellitesSadeh, Y., Zhu, X., Dunkerley, D., Walker, J.P., Zhange, Y., Rozenstein, O., Manivasagam, V.S. and Chenu, K. (2020). Estimating daily leaf area index with a 3m resolution using CubeSats satellites. 15th International Conference on Precision Agriculture , Minneapolis, MN United States, 29 June - 1 July 2020. |
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2019 Conference Publication Recent trends in drought, heat and frost-induced yield losses across the Australian wheatbeltAbabaei, Behnam and Chenu, Karine (2019). Recent trends in drought, heat and frost-induced yield losses across the Australian wheatbelt. The Third International Tropical Agriculture Conference TropAg 2019 , Brisbane, QLD Australia, 11-13 November 2019. Basel, Switzerland: MDPI. doi: 10.3390/proceedings2019036005 |
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2019 Journal Article From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over timeBustos-Korts, Daniela, Malosetti, Marcos, Chenu, Karine, Chapman, Scott, Boer, Martin P., Zheng, Bangyou and van Eeuwijk, Fred A. (2019). From QTLs to adaptation landscapes: using genotype-to-phenotype models to characterize G×E over time. Frontiers in Plant Science, 10 1540, 1540. doi: 10.3389/fpls.2019.01540 |
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2019 Journal Article Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategiesBustos-Korts, Daniela, Boer, Martin P., Malosetti, Marcos, Chapman, Scott, Chenu, Karine, Zheng, Bangyou and van Eeuwijk, Fred (2019). Combining crop growth modeling and statistical genetic modeling to evaluate phenotyping strategies. Frontiers in Plant Science, 10 1491, 1491. doi: 10.3389/fpls.2019.01491 |
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2019 Conference Publication Using high-throughput phenotyping and genome wide association study (GWAS) techniques to identify molecular markers for transpiration efficiency in wheatFletcher, Andrew, Kelly, Alison, Christopher, Jack, Paccapela, Valeria and Chenu, Karine (2019). Using high-throughput phenotyping and genome wide association study (GWAS) techniques to identify molecular markers for transpiration efficiency in wheat. Australian Agronomy Conference, Wagga Wagga, NSW Australia, 25-29 August 2019. Wagga Wagga, NSW, Australia: Australian Society of Agronomy. |
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2019 Journal Article Sowing date detection at the field scale using CubeSats remote sensingSadeh, Yuval, Zhu, Xuan, Chenu, Karine and Dunkerley, David (2019). Sowing date detection at the field scale using CubeSats remote sensing. Computers and Electronics in Agriculture, 157, 568-580. doi: 10.1016/j.compag.2019.01.042 |
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2019 Conference Publication Impact of genotypic variations in transpiration rate on Australian wheat productivityAbabaei, Behnam and Chenu, Karine (2019). Impact of genotypic variations in transpiration rate on Australian wheat productivity. Wheat Breeding Assembly 2019, Adelaide, Australia, August 2019. |
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2019 Conference Publication Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments in the Australian wheatbeltChenu, Karine, Fletcher, Andrew, Ababaei, Behnam, Christopher, Jack, Kelly, Alison, Hickey, Lee, Van Oosterom, Erik and Hammer, Graeme (2019). Integrating crop modelling, physiology, genetics and breeding to aid crop improvement for changing environments in the Australian wheatbelt. International Tropical Agriculture Conference (TROPAG 2019), Brisbane, Australia, 11–13 November 2019. Basel, Switzerland: MDPI AG. doi: 10.3390/proceedings2019036004 |
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2019 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315164151-5 |
