Andreas Hund


Last Name

Hund

First Name

Andreas

ORCID

0000-0002-2309-1625

Organisational unit

03894 - Walter, Achim / Walter, Achim

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Publications1 - 10 of 91
  • Biochar amendment increases maize root surface areas and branching: A shovelomics study in Zambia
    Item type: Journal Article
    Abiven, Samuel; Hund, Andreas; Martinsen, Vegard; et al. (2015)
    Plant and Soil
  • Remote, aerial phenotyping of maize traits with a mobile multi-sensor approach
    Item type: Journal Article
    Liebisch, Frank; Kirchgessner, Norbert; Schneider, David; et al. (2015)
    Plant Methods
    Background Field-based high throughput phenotyping is a bottleneck for crop breeding research. We present a novel method for repeated remote phenotyping of maize genotypes using the Zeppelin NT aircraft as an experimental sensor platform. The system has the advantage of a low altitude and cruising speed compared to many drones or airplanes, thus enhancing image resolution while reducing blurring effects. Additionally there was no restriction in sensor weight. Using the platform, red, green and blue colour space (RGB), normalized difference vegetation index (NDVI) and thermal images were acquired throughout the growing season and compared with traits measured on the ground. Ground control points were used to co-register the images and to overlay them with a plot map. Results NDVI images were better suited than RGB images to segment plants from soil background leading to two separate traits: the canopy cover (CC) and its NDVI value (NDVIPlant). Remotely sensed CC correlated well with plant density, early vigour, leaf size, and radiation interception. NDVIPlant was less well related to ground truth data. However, it related well to the vigour rating, leaf area index (LAI) and leaf biomass around flowering and to very late senescence rating. Unexpectedly, NDVIPlant correlated negatively with chlorophyll meter measurements. This could be explained, at least partially, by methodical differences between the used devices and effects imposed by the population structure. Thermal images revealed information about the combination of radiation interception, early vigour, biomass, plant height and LAI. Based on repeatability values, we consider two row plots as best choice to balance between precision and available field space. However, for thermography, more than two rows improve the precision. Conclusions We made important steps towards automated processing of remotely sensed data, and demonstrated the value of several procedural steps, facilitating the application in plant genetics and breeding. Important developments are: the ability to monitor throughout the season, robust image segmentation and the identification of individual plots in images from different sensor types at different dates. Remaining bottlenecks are: sufficient ground resolution, particularly for thermal imaging, as well as a deeper understanding of the relatedness of remotely sensed data and basic crop characteristics.
  • Genetic variation in the gravitropic response of maize roots to low temperatures
    Item type: Journal Article
    Hund, Andreas (2010)
    Plant Root
  • Trait spotting: Development of software routines and protocols for reliable remote phenotyping of field experiments and variety trials
    Item type: Other Conference Item
    Roth, Lukas; Aasen, Helge; Hund, Andreas (2019)
    Bulletin SGPW/SSA ~ Diversität in der Forschung für einen vielfältigen Pflanzenbau
  • Growth of axile and lateral roots of maize
    Item type: Journal Article
    Hund, Andreas; Trachsel, S.; Stamp, P. (2009)
    Plant and Soil
  • Maize root growth and P uptake dependency on spatial distribution of sewage sludge, sewage sludge ash, and TSP
    Item type: Other Conference Item
    Lemming, Camilla; Oberson, Astrid; Hund, Andreas; et al. (2014)
    Book of abstracts - 5th Phosphorus in Soils and Plants Symposium
  • Crop water use under Swiss pedoclimatic conditions – Evaluation of lysimeter data covering a seven-year period
    Item type: Journal Article
    Oberholzer, Simon; Prasuhn, Volker; Hund, Andreas (2017)
    Field Crops Research
  • A two-stage approach for the spatio-temporal analysis of high-throughput phenotyping data
    Item type: Journal Article
    Pérez-Valencia, Diana M.; Rodríguez-Álvarez, María Xosé; Boer, Martin P.; et al. (2022)
    Scientific Reports
    High throughput phenotyping (HTP) platforms and devices are increasingly used for the characterization of growth and developmental processes for large sets of plant genotypes. Such HTP data require challenging statistical analyses in which longitudinal genetic signals need to be estimated against a background of spatio-temporal noise processes. We propose a two-stage approach for the analysis of such longitudinal HTP data. In a first stage, we correct for design features and spatial trends per time point. In a second stage, we focus on the longitudinal modelling of the spatially corrected data, thereby taking advantage of shared longitudinal features between genotypes and plants within genotypes. We propose a flexible hierarchical three-level P-spline growth curve model, with plants/plots nested in genotypes, and genotypes nested in populations. For selection of genotypes in a plant breeding context, we show how to extract new phenotypes, like growth rates, from the estimated genotypic growth curves and their first-order derivatives. We illustrate our approach on HTP data from the PhenoArch greenhouse platform at INRAE Montpellier and the outdoor Field Phenotyping platform at ETH Zürich.
  • Genetic structure and history of Swiss maize (Zea mays L. ssp mays) landraces
    Item type: Journal Article
    Eschholz, T. W.; Stamp, P.; Peter, R.; et al. (2010)
    Genetic resources and crop evolution
Publications1 - 10 of 91