% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Muller:857780,
author = {Muller, Onno and Keller, Beat and Zimmermann, Lars and
Jedmowski, Christoph and Pingle, Vikas Shantaram and
Acebron, Kelvin and Zendonadi, Nicolas dos Santos and
Steier, Angelina and Pieruschka, Roland and Kraska, Thorsten
and Schurr, Ulrich and Rascher, Uwe},
title = {{F}ield phenotyping and an example of proximal sensingof
photosynthesis},
reportid = {FZJ-2018-06747},
pages = {1-5},
year = {2018},
abstract = {Field phenotyping conceptually can be divided in five
pillars 1) traits of interest 2)sensors to measure these
traits 3) positioning systems to allow high throughput
measurementsby the sensors 4) experimental sites and 5)
environmental monitoring. In this paper we will focuson
photosynthesis as trait of interest, measured by remote
active fluorescence. The sensorpresented is the Light
Induced Fluorescence Transient (LIFT) instrument. The LIFT
instrument isintegrated in three positioning systems. First
in an automatized rail based positioning systemmoving in x,
y and z direction above 120 miniplots. Miniplots are large
(0.8m2) soil-filled containersplaced inside and outside the
greenhouse. Second the sensor is mounted on a manual
operatedField4cycle and third on a fully autonomously
moving, engine driven, GPS steered cart, calledFieldCop.
Photosynthetic traits were quantified for major crop species
across seasonal changesin environment, grown at elevated
CO2, or at different irrigation regimes. The quantum
efficiencyof photosystem II (Fq’/Fm’ )was light
dependent whereas the electron transport rate
efficiency(Fr2’/Fm’) was temperature dependent. Mean
values of these photosynthetic traits or theirinteraction
with environment allowed for characterization of different
phenotypes. The LIFTinstrument combined with selected
positioning system provides high throughput proximal
sensingof novel photosynthetic traits.},
month = {Jun},
date = {2018-06-24},
organization = {14th international conference on
precision agriculture, Quebec (Canada),
24 Jun 2018 - 27 Jun 2018},
cin = {IBG-2},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582) / DPPN - Deutsches Pflanzen
Phänotypisierungsnetzwerk (BMBF-031A053A)},
pid = {G:(DE-HGF)POF3-582 / G:(DE-Juel1)BMBF-031A053A},
typ = {PUB:(DE-HGF)8},
url = {https://juser.fz-juelich.de/record/857780},
}