11月19日农学院前沿学术报告
文章来源: 点击数: 更新日期:2018-11-14

 

报告题目1:Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies
报告题目2: Enhancing food security through the use of biophysical, climate modelling and sensing technologies
 
报告时间:11月19日(周一)上午10:00-11:30点
报告地点:生科楼441报告厅
主办单位:安徽农业大学农学院、作物抗逆育种与减灾国家地方联合工程实验室
 
Andries Potgieter博士:任职澳洲昆士兰大学(世界top 50)农业与食品创新联盟(QAFFI)作物科学研究中心,高级研究员,“气候变化预测、遥感与近感农业上应用”团队负责人,“作物生理生态系统模拟”国际合作团队负责人。
 
代表性文章:
Yield trends under varying environmental conditions for sorghum and wheat across Australia. Agricultural and Forest Meteorology, 228-229 276-285. doi:10.1016/j.agrformet.2016.07.004
Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding. European Journal of Agronomy, 95 24-32
Spatial estimation of wheat yields from Landsat's visible, near infrared and thermal reflectance bands. International Journal of Remote Sensing Application, 4 3: 134-143. doi:10.14355/ijrsa.2014.0403.03
Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines. Frontiers in Plant Science, 8. doi:10.3389/fpls.2017.01532
Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia. Climatic Change, 117 1-2: 163-179
Rainfall variability at decadal and longer time scales: signal or noise? Journal of Climate, 181: 89-96
A simple regional-scale model for forecasting sorghum yield across North-Eastern Australia. Agricultural and Forest Meteorology, 132 1-2: 143-153. doi:10.1016/j.agrformet.2005.07.009
Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield. Journal of Climate, 18 10: 1566-1574
Advances in application of climate prediction in agriculture. Agricultural Systems, 70 2-3: 515-553

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