Crop Science

More versatile and efficient crop production systems require an in-depth understanding of dynamic plant growth processes. Novel time-lapse imaging procedures acting at different spatial and temporal scales are core elements of the toolbox of our interdisciplinary team. In climate chambers, greenhouses and field sites, we apply visual, near-infrared and thermal imaging to quantify shoot and root architecture, dynamic and short-term growth processes as well as photosynthesis, gas exchange and compound composition of major and alternative crops alike.

These ‘phenotyping’ analyses, in concert with a range of approaches from plant ecophysiology, breeding and molecular analysis, will help elucidating plant genotypes and crop production systems that are optimized to regionally differing ecological niches. Moreover, they will facilitate an improved understanding of basic rules governing plant-environment-management interactions. This in turn is a necessary prerequisite to ameliorate the knowledge transfer between lab and field as well as between plant biology and agricultural sciences.

• Root and leaf growth analysis
• Phenotyping
• Ecophysiology
• Plant Breeding
• Biotic and Abiotic Stress
• Agronomy

► Google Scholar: https://scholar.google.ch/citations?hl=de&user=P3AgKMQAAAAJ

• Pixel-based yield mapping and prediction from Sentinel-2 using spectral indices and neural networks
  G Perich, MO Turkoglu, LV Graf, JD Wegner, H Aasen, A Walter, ...
  Field Crops Research 292, 108824, 2023: 10.1016/j.fcr.2023.108824
• Linking soil N dynamics and plant N uptake by means of sensor support
  F Argento, F Liebisch, M Simmler, C Ringger, M Hatt, A Walter, T Anken
  European Journal of Agronomy 134, 2022: 10.1016/j.eja.2022.126462
• Investigating two solutions to balance revenues and N surplus in Swiss winter wheat
  F Argento, F Liebisch, T Anken, A Walter, N El Benni
  Agricultural Systems 201, 103451, 2022, 10.1016/j.agsy.2022.103451
• Temporal trends in canopy temperature and greenness are potential indicators of late-season drought avoidance and functional stay-green in wheat
  Anderegg, Jonas; Aasen, Helge; Perich, Gregor; Roth, Lukas; Walter, Achim; Hund, Andreas
  Field Crops Research 10.1016/j.fcr.2021.108311  DEC 1 2021
• Building an Aerial-Ground Robotics System for Precision Farming An Adaptable Solution
  Pretto, Alberto; Aravecchia, Stephanie; Burgard, Wolfram; Chebrolu, Nived; Dornhege, Christian; et al.
  Ieee Robotics & Automation Magazine 10.1109/MRA.2020.3012492  SEP 2021
• Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data
  Perich, Gregor; Aasen, Helge; Verrelst, Jochem; Argento, Francesco; Walter, Achim; Liebisch, Frank
  Remote Sensing 10.3390/rs13122404  JUN 2021
• Temperature response of wheat affects final height and the timing of stem elongation under field conditions
   Kronenberg, Lukas; Yates, Steven; Boer, Martin P.; Kirchgessner, Norbert; Walter, Achim; Hund, Andreas
  Journal Of Experimental Botany 10.1093/jxb/eraa471  FEB 2 2021
• Soil structure recovery following compaction: Short-term evolution of soil physical properties in a loamy soil
  Keller, Thomas; Colombi, Tino; Ruiz, Siul; Schymanski, Stanislaus J.; Weisskopf, Peter; et al.
  Soil Science Society Of America Journal 10.1002/saj2.20240 JUL 2021
• Evaluation of Image-Based Phenotyping Methods for Measuring Water Yam (Dioscorea alata L.) Growth and Nitrogen Nutritional Status under Greenhouse and Field Conditions
  Frossard, Emmanuel; Liebisch, Frank; Hgaza, Valerie Kouame; Kiba, Delwende Innocent; Kirchgessner, Norbert; Mueller, Laurin; Mueller, Patrick; Pouya, Nestor; Ringger, Cecil; Walter, Achim
  Agronomy-basel, 10.3390/agronomy11020249 FEB 2021
• Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones
  Roth, L; Camenzind, M; Aasen, H; Kronenberg, L; Barendregt, C; Camp, KH; Walter, A; Kirchgessner, N; Hund, A
  Plant Phenomics 10.34133/2020/3729715 2020
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• Primary and Secondary Metabolism
• Image Processing
• Epigenetics
• Ecology
• Plant Insect Interactions
• Global Change Biology