phenotyping; image processing; abiotic stress; plant growth; ecophysiology; agriculture; breeding; hyperspectral imaging; thermography; crop modeling; remote sensing
Hund Andreas, Kronenberg Lukas, Anderegg Jonas, Yu Kang, Walter Achim (2019), Non-invasive field phenotyping of cereal development, in Friedt Wolfgang, Ordon Frank (ed.), Burleigh Dodds Science Publishing, Cambridge UK, 249-292.
Nagelmüller S., Yates S., Walter A. (2018), Diel leaf growth of rapeseed at critically low temperature under winter field conditions, in Functional Plant Biology
, 45(11), 1110-1110.
Kronenberg Lukas, Yu Kang, Walter Achim, Hund Andreas (2017), Monitoring the dynamics of wheat stem elongation: genotypes differ at critical stages, in Euphytica
, 213(7), 157-157.
Perich Gregor, Hund Andreas, Anderegg Jonas, Roth Lukas, Boer Martin P, Walter Achim, Liebisch Frank, Aasen Helge, Assessment of multi-image UAV based high-throughput field phenotyping of canopy temperature, in Frontiers in Plant Science
Plant growth is limited by cold temperatures. The low temperature limit differs between species and it restricts the region in which a crop can be grown. In the field, limiting cold temperatures are often only reached during a short period of the diel (24 h) cycle. It is unknown whether plants have different temperature requirements at different times throughout the diel cycle and also whether and how the genotype-specific temperature requirements change with development. Especially for crop plants, this is an important research area, which needs attention for improved crop performance under cold conditions. This would result in accelerated yield formation, thus minimizing losses conferred by summer drought and heat stress. The applicant’s group has established field phenotyping methods that allow for growth monitoring with high precision at low temperature. The aim of the proposed project is to assess the value of growth monitoring as a dynamic trait in limiting temperatures for physiological and breeding-related studies in winter wheat and soybean. These two species are globally important crops; they differ with respect to their low temperature sensitivity and their growth morphology. Based on field and climate chamber experiments, genome wide association studies (GWAS), analyses of the transcriptome as well as growth modelling will be performed to verify the use of growth response to cold temperatures as a dynamic trait for the evaluation of crop performance. The ETH field phenotyping platform (FIP) will be employed for analyses of growth along with hyperspectral and thermal imaging of a high number of genotypes. The proposed study will contribute to an improved understanding of cold tolerance in crops as well as to improved high-throughput field phenotyping concepts.