Lukas Prey

Foto von Dr. Lukas Prey,
Dr. Lukas Prey,
Wissenschaftlicher Mitarbeiter
Post-Anschrift Hochschule Weihenstephan-Triesdorf Biomasse-Institut Markgrafenstr. 16 91746 Weidenbach Deutschland Besucher-Adresse Biomasse-Institut Raum R.107 Neuseser Straße 1 91732 Merkendorf Telefon: +49 (0) 9826 654-380 Fax: +49 (0) 9826 654-4380 Webseite: weitere Infos

seit 04/2020:
Wissenschaftlicher Mitarbeiter,
Biomasse-Institut der Hochschule Weihenstephan-Triesdorf

06/2015 – 03/2020:
Wissenschaftlicher Mitarbeiter am Lehrstuhl für Pflanzenernährung,
TU München

10/2012 – 03/2015:
Studium: Global Change Ecology (M. Sc.),
Universität Bayreuth

10/2009 – 09/2012:
Studium: Agrarwissenschaften (B. Sc.),
TU München

Prey, L.; Hu, Y.; Schmidhalter, U, 2020.
High-throughput field phenotyping traits of grain yield formation and nitrogen use efficiency: Optimizing the selection of vegetation indices and growth stages. Frontiers in Plant Science 10, 1672

 

Prey, L., Hu, Y., Schmidhalter, U., 2019.
Temporal dynamics and the contribution of plant organs in a phenotypically diverse population of high-yielding winter wheat: Evaluating concepts for disentangling yield formation and nitrogen use efficiency. Frontiers in Plant Science 10, 1295

 

Prey, L., Schmidhalter, U., 2019.
Temporal and Spectral Optimization of Vegetation Indices for Estimating Grain Nitrogen Uptake and Late-Seasonal Nitrogen Traits in Wheat. Sensors 19, 4640

 

Prey, L., Schmidhalter, U., 2019.
Sensitivity of Vegetation Indices for Estimating Vegetative N Status in Winter Wheat. Sensors 19, 3712

 

Prey, L., Germer, M., Schmidhalter, U., 2019.
Temporal and Organ-specific Responses in NUE Traits to N Fertilization, Fungicide Intensity and Early Sowing in Winter Wheat Cultivars. Agronomy 9, 313

 

Prey, L., Schmidhalter, U., 2019.
Simulation of satellite reflectance data using high-frequency ground based hyperspectral canopy measurements for in-season estimation of grain yield and grain nitrogen status in winter wheat. ISPRS Journal of Photogrammetry and Remote Sensing 149, 176–187