12. – 14. October 2011

Transcription

12. – 14. October 2011
Hof van Wageningen, NL
hosted by
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We would like to acknowledge the following Sponsors
of the PhenoDays 2011
Gold Sponsors
Bronze Sponsors
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Program
Please note that there might be some minor changes.
Please also note that the workshop at PhenoFab only has a maximum capacity of 30 Persons.
To ensure that every attendee has the chance to attend the PhenoFab workshop we will
repeat this Workshop 6 times parallel to the sessions on Thursday and Friday. Therefore
everybody who wants to attend the PhenoFab Workshop will be kindly asked to subscribe to
one of the 6 workshops during registration. Availability will be on first comes, first serves
base. The bus transfer from Hof van Wageningen to PhenoFab and back leaves in front of
the Hotel and takes approx. 10 minutes.
Wednesday, 12. October 2011
Time
16:00
18:00
18:00
18:30
19:00
19:30
20:00
20:30
21:00
21:30
Event
Registration
Opening Keynote Lectures
Paradigm Shifts in Plant Breeding: Automated
Phenotyping Combined with Modern Genetics
Speaker / Chair
Location
Lobby
Hall
Hall
Dirk Vandenhirtz
Arjen van Tunen
Keygene Wageningen
The Netherlands
High Throughput Plant Phenotyping –
Jörg Vandenhirtz
Hall
a Boost for Genomics in the 21st Century
LemnaTec Germany
Prospects of High Throughput Phenotyping for B.Venkateswarlu
Hall
Climate Change Research In India
CRIDA Hyderabad,
India
Coffee break
Hall
Plant Phenotyping:
Rob Lind Syngenta
Hall
Picture this with machine vision
Jeallot’s Hill UK
High-throughput phenotyping - Taking crop
Michael Malone
Hall
biotechnology to the next level
Monsanto Company
RTP, NC, USA
Application of Hyperspectral Imaging in
Jon Lightner Pioneer Hall
Precision Phenotyping Systems
Hi-Breed Int’l
Johnston, IA, USA
Poster Session with beer, wine and finger food
Hall
7
Thursday, 13. October 2011
Time
07:00
08:30
09:00
09:00
09:30
10:00
10:30
11:00
11:00
11:30
12:00
Event
Breakfast
Speaker
Location
Restaurant
Workshop
Bus Transfer
New Approaches for Automatic Plant Phenotyping I
Use of The Plant Accelerator® for
Mark Crowe
high-throughput phenotyping
Adelaide, SA
Australia
Development of High Throughput
Catherine
Plant Phenotyping Facilities in
Howarth
Aberystywth
Aberysthwyth,
University, UK
Towards innovative cropping
Christophe
systems: development of High
Salon INRA
Throughput Phenotyping of plant
Dijon, France
biotic interactions.
Coffee Break
New Approaches for Automatic Plant Phenotyping II
VEGI: Value-directed Evolutionary
Thomas Bureau
Genomics Initiative
McGill Univers.
Montréal, CAN
A high throughput early screening
Sylvia Morais de
platform for selection of
Sousa EMBRAPA
phosphorus efficient maize
Sete Lagoas
genotypes
Brasil
Overcoming the phenotyping gap - Kerstin
experiences with the LemnaTecNeumann
Scanalyzer 3D platform
IPK Gatersleben
investigating drought tolerance in
Germany
barley
Lunch Break
12:30
13:30
14:00 New Approaches for Automatic Plant Phenotyping III
14:00 Measuring shade-induced
Tino Dornbusch
movements of Arabidopsis leaves
Laussanne
using the Scanalyzer HTS – a novel
University, CH
phenotyping approach
14:30 Phenotyping of plant material at
Gerie van der
Wageningen UR
Heijden WUR NL
15:00 Medium-throughput phenotyping
Peter Lootens
of individual Lolium perenne plants ILVO Belgium
under field conditions: an easy and
low-cost procedure
15:30 Coffee Break
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Hall
Hall
PhenoFab
Workshop 1
max.30 Pers.
Hall
Hall
Bus Transfer
Hall
Hall
PhenoFab
Workshop 2
max.30 Pers.
Hall
Restaurant
Bus Transfer
Bus Transfer
Hall
Hall
PhenoFab
Workshop 3
max.30 Pers.
Hall
Hall
Bus Transfer
16:00 Root Imaging and Root Sensors
16:00 High-throughput phenotyping
technology for maize roots
16:30 High-throughput analysis of root
system architecture in gel-based
imaging system
17:00 Towards 4D space and time models
of plant root development
17:30 KeyTrack Root Phenotyping - At the
18:00 Root of Development
Martin Bohn
University of
Illinois, Urbana
Jennifer To
Grassroots
BioTec NC, USA
Klaus Palme Uni
Freiburg Germ.
Anker Sørensen
Keygene N.V.
Wageningen NL
19:00 Conference Dinner
Hall
Hall
Hall
Hall
Restaurant
9
PhenoFab
Workshop 4
max.30 Pers.
Bus Transfer
Friday, 14. October 2011
Time
07:00
08:30
09:00
09:00
09:25
09:50
10:15
10:40
11:00
11:00
11:25
11:50
12:15
12:40
13:00
Event
Breakfast
Speaker
Location
Restaurant
Workshop
Bus Transfer
Plant Phenomics
Studying drought tolerance in
Populus tremula (L.)
Chlorophyll a fluorescence to
phenotype wheat genotypes for
heat tolerance
High Throughput Phenotyping for
the Improvement of Crop Stress
Tolerance
Restriction of Leaf Conductance
under High Vapor Pressure Deficit
and Non-limiting Water
Conditions is Crucial for Terminal
Drought Tolerance of Cowpea
Coffee Break
Plants for the future
Needs and Expectations of
Phenotyping from a breeding
perspect
CROP.SENSe.net – Phenotyping
Science for Plant Breeding and
Management
DROPS: An EU-funded project to
improve drought tolerance in
maize and wheat
European initiatives on
phenotyping platforms
Adjournment
End of the Conference
Doris Krabel TU
Dresden Germany
Carl-Otto Ottosen
Dept. of Horticult.
Årslev, Danmark
Adel Zayed
Monsanto Co.
RTP, NC, USA
Nouhoun Belko
CERAAS, Senegal
Hall
Hall
Hall
Hall
Hall
Harold Verstegen
KWS Lochow
Germany
Joanna Post
University of
Bonn Germany
Roberto Tuberosa
University of
Bologna, Italy
S. Crepieux Euro.
Commission
Bus Transfer
Hall
Hall
PhenoFab
Workshop 6
max.30 Pers.
Hall
Hall
Hall
10
PhenoFab
Workshop 5
max.30 Pers.
Bus Transfer
Paradigm Shifts in Plant Breeding: Automated Phenotyping Combined with
Modern Genetics
Type of presentation: oral
Authors:
Professor Arjen van Tunen, Keygene, Wageningen, NL
Presenter:
Arjen van Tunen
Keygene NV
PO Box 216
6700 AE Wageningen
NL
+31 317 466866
[email protected]
Abstract:
During the last 50 years plant breeding has resulting in gigantic improvements of crops in
terms of yield, quality, resistances and appearance of our agricultural products. However the
traditional methods are now reaching their limits. At the same time society needs large
improvements of our crops to meet the current and future demands for high quality food,
feed fiber, fuel, flowers and fun agricultural products.
In this presentation paradigm shifts are elucidated that will lead to to the desired improved
and innovative crop varieties. First, large scale genomics information is available and used
for an increasing number of crops. Second, besides Genetic Modification alternative
molecular genetic methods are under development that allow fast Molecular Breeding and
Molecular Mutagenesis. Third, new automated and robotized phenotyping methods are now
being implemented enabling the establishments of correlations of genetic variation with
traits of socio economic importance and thereby enabling a new and integrated way of
molecular plant breeding. In a number of practical examples it will be shown that genomics
in combination with new phenotyping approaches leads to fast and directed ways of genetic
improvements of our crops for the future.
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High Throughput Plant Phenotyping – a Boost for Genomics in the 21st
Century
Authors:
Matthias Eberius, Dirk Vandenhirtz, Jörg Vandenhirtz, LemnaTec Germany
Presenter:
Dr. Joerg Vandenhirtz
LemnaTec
18 Schumanstr.
52146 Wuerselen
DE
+49 2405 4126-12
[email protected]
Abstract:
Due to the development of highly automated genetic analysis, plant genomics has
immensely enlarged our understanding of the genetic structure of plants over the last two
decades. The fast evolving need to identify interactions between genes and environmental
factors (biotic and abiotic) that brings about a certain plant phenome made it necessary to
develop quantitative, reproducible and highly automated plant phenotyping systems for
large plant numbers. Phenotyping systems such as these have to integrate reproducible
plant management (randomization, watering) and comprehensive imaging of root and shoot
far beyond human vision (visible light, fluorescence, near infrared, infrared, X-rays, THz) as
well additional chemical analysis methods. Immediate and automated image analysis of the
stored images and further data transformation using plant shape and plant growth models
are the important intermediate steps before undertaking statistical data analysis of the
phenotyping results to characterize plant phenotypes quantitatively. Such quantitative data
contributes in a decisive way to the further analysis of gene functions (tilling, QTL etc.),
especially under fluctuating or stress-induced environmental conditions with a special focus
on complex traits like yield or drought tolerance. This presentation will provide a survey on
phenotyping technology and the close interaction between phenotyping technologies,
modeling approaches and the new opportunities of fast and automated high-throughput
genomics.
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Prospects of High Throughput Phenotyping for Climate Change Research In
India
Authors:
B.Venkateswarlu
Presenter
Dr. Bandi Venkateswarlu
Central Research Institute for Dryland Agriculture
Santoshnagar
Saidabad PO
500 059 Hyderabad
IN
+91-40-24530177; 09652988265 (Mobile)
[email protected]
Abstract:
Climate change and climate variability have become major areas of concern for agricultural
growth in India. Multiple abiotic stresses like droughts, floods, chilling injury and heat wave
are becoming more common with increasing seasonal climate variability with significant
impact on crop and livestock production. The Government of India has initiated a major
national effort on climate resilient agriculture covering research and technology
dissemination. In 2011, a major national scheme, viz., National Initiative on Climate Resilient
Agriculture (NICRA) has been launched. This scheme has several components, one of which
is the phenotyping of crop germplasm for multiple abiotic stresses like drought, salinity, heat
stress, cold injury and water logging. Research infrastructure is being developed at major
national research institutes involved irrigated crops, rainfed crops, horticulture and fisheries.
Both laboratory and field phenotyping facilities are being set up in four major locations in
India. The major aim of these facilities is to undertake rapid screening of available
germplasm from the gene banks and also the current collections being made from climate
hot spots in India. The presentation gives details of the crops being covered under the
climate resilient agriculture project in India, institutions involved and abiotic stresses short
listed for Germplasm screening through phenotyping.
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Plant Phenotyping : Picture this with machine vision
Authors:
Rob Lind
Presenter:
Dr. Rob Lind
Syngenta
Biological Sciences, Jealott's Hill International Research Centre
Bracknell
RG42 6EY Berkshire
GB
+44 (0)1344 414466
[email protected]
Abstract:
Plant phenotyping, which connects attributes of plant anatomy, physiology and performance
back to their genetic origins and xenobiotic influences, is crucial for plant breeding.
Traditional human observation is tarred with its subjective nature, drift over time,
differences between observers and its often qualitative output. Machine vision offers
solutions to these problems and in addition benefits from a fully quantitative output,
abilities to look beyond human spectral perception, and measure parameters that are more
challenging to the human observer. Image analysis coupled with high through-put
automated systems is revolutionising plant phenotyping to remove a previous bottle neck to
enable the rapid selection of favourable traits for plant breeders. This talk will focus on
different plant structures, namely roots, aerial stems and leaves, fruit and seed, and how the
software and hardware surrounding machine vision can be used to measure their respective
phenotype parameters. A key to the success of image analysis for plant phenotyping within
Syngenta has been to create a network of interdisciplinarv colleagues bound together by a
common interest in imaging technologies and processing.
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High-throughput phenotyping - Taking crop biotechnology to the next level
Authors:
Michael H. Malone, Jasenka Benac, Emily Grasso, Hyundae Hong, Dan Riggsbee, and Keith
Koutsky
Presenter:
Dr. Michael Malone
Monsanto Company
110 TW Alexander Dr.
PO Box 110604
27709 Research Triangle Park NC
US
919-406-5738
[email protected]
Abstract:
Innovative technologies are required to meet the agricultural needs of a growing world
population, which is estimated to reach 9 billion by 2050. Monsanto is committed to
meeting these needs by improving the lives of farmers. Our goal is to use breeding,
biotechnology and improved farming practices to develop crops that produce more yield
while conserving natural resources. A key step in this process lies in identifying plants that
possess traits that enable farmers to produce more yield with less water and fertilizer. To
speed the identification of plants that have the traits farmers need, we have developed a
high-throughput phenotyping facility that fuses automated plant handling and imaging
technology. This facility allows us to quantify growth and whole plant physiology in precisely
controlled environments. Here we present the opportunities and challenges inherent in
high-throughput screening of biological systems, particularly as they apply to plant
biotechnology.
15
Application of Hyperspectral Imaging in Precision Phenotyping Systems
Authors:
Jonathan Lightner
Presenter:
Dr. Jonathan Lightner
Pioneer Hi-Bred Intl
7250 NW 62nd Ave
Johnston IA IA
US
515-535-3978
[email protected]
Abstract:
Not available.
16
Use of The Plant Accelerator® for high-throughput phenotyping
Authors:
Mark Crowe, Bettina Berger, Helli Meinecke and Mark Tester The Plant Accelerator,
University of Adelaide Waite Campus, Hartley Grove, Urrbrae SA 5064, Australia
Presenter:
Dr. Mark Crowe
The Plant Accelerator®
University of Adelaide, Waite Campus, Bldg 32
Hartley Grove
5064 Urrbrae
AU
+61 (0)4 3433 1588
[email protected]
Abstract:
The Plant Accelerator® is a purpose-built plant phenotyping facility in Adelaide, Australia.
With over 2,300m2 of floor space across 38 greenhouses, four of which are SmarthousesTM
equipped with LemnaTec Scanalyzer 3D systems capable of accommodating nearly 2,400
plants, it is one of the largest publicly-accessible image-based plant phenotyping facilities in
the world. The Plant Accelerator is a dedicated service facility, undertaking projects for plant
scientists, whatever their research targets or geographical location. Nevertheless, we have
particular expertise in cereal projects, especially in the areas of drought and salinity
tolerance – characteristics of particular importance in the Australian environment.
Both drought and salinity tolerance are complex multifactorial phenotypes, subject to many
Genotype x Environment interactions. The consequent low heritability of these traits results
in difficulties validating quantitative trait loci across different trials, and so restricts the
ability of phenotyping research projects to assist in the breeding of new, more tolerant,
varieties. The facilities at centres such as The Plant Accelerator are now helping researchers
dissect these phenotypes into simpler and more robust traits, with the increased likelihood
of identifying either causative genes or reliable genetic markers.
The Plant Accelerator is now being used to study previously intractable physiological
processes, and I will describe some of the outcomes of a variety of such projects on salinity
and drought tolerance that have been carried out at the Accelerator. I will also outline some
of the ‘tricks of the trade’ that we have identified to allow us to carry out these projects
more successfully. Finally, I will discuss our work on the description of phenotypes that were
conventionally only measurable using destructive testing so that we can now achieve
accurate estimates of these phenotypes based on imaging data alone.
17
Development of High Throughput Plant Phenotyping Facilities in Aberystywth
Authors:
Catherine Howarth, Alan Gay, Tom Bartlett*, John Draper, John Doonan
National Plant Phenomics Centre, IBERS, Gogerddan, Aberystwyth University, SY23 3EB, UK
* See3D Ltd, Aberystwyth University
Presenter:
Dr. Catherine Howarth
Aberystwyth University
IBERS
Gogerddan
Aberystwyth SY23 3EB
GB
1970823107
[email protected]
Abstract:
There is a need to develop high throughput plant phenomics to bridge the phenotypegenotype gap that will lead to the improvements in crop performance necessary to feed the
growing world population. The facility under development at Aberystwyth will be based
around automated non-destructive image analysis using a Scanalyzer 3-D HTS system
developed by LemnaTec running in a new glasshouse complex. A central advantage of the
approach is that it is inherently non-destructive, allowing repeated measurements to be
made on individual plants in a pre-programmed sequence through time with minimal
operator intervention. The system is flexible, designed to cope with small plants such as
forage grasses, forage legumes, Brachypodium and Arabidopsis, and also with larger plants
such as oats, wheat, barley, maize and Miscanthus. The plant phenomics facility will be
closely linked to both chemical phenotyping and genotyping facilities in Aberystwyth and
integrates with field trials and public good plant breeding. Use of the facility will accelerate
the selection of appropriate germplasm for breeding varieties which will perform robustly
under the conditions predicted for the UK and beyond in the future. Furthermore, it will
provide a focus for trans-disciplinary research to facilitate the discovery of the genetic and
environmental bases for variation in complex traits that underpin the major global
challenges for food and energy security, water utilization and adaptation to a changing
climate.
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Towards innovative cropping systems: development of High Throughput
Phenotyping of plant biotic interactions.
Authors:
Christophe SALON1,2, Christian JEUDY1, Céline BERNARD2,
1UMR Legumes Genetics and Ecophysiology (LEG), INRA, 17 rue Sully, BP86510 Dijon Cedex,
France
2Experimental Unit Greenhouse and Phenotyping platform, INRA, 17 rue Sully, BP86510
Dijon Cedex, France
Presenter:
Dr. Christophe SALON
INRA
UMR LEG and UE SEDE BP 86510
17 rue Sully,
21065 Dijon
FR
0380693238
[email protected]
Abstract:
The design modularity of the greenhouses and climatic chambers allows various growth
conditions for plant in order to mimic most of the environmental scenarios in the context of
climate change. Climatic chambers are either equipped with conveyors in line with
phenotyping cabins, used for large biological units and rhizotrons or devoted to the “small
biological units” (ie seeds, plantlets, microbiological petri dishes) phenotyped in a cabinet
(called “HTS”) where mobile cameras screen the culture zone. This HTS and its climatic
chambers allow to phenotype, in addition to our 1800 plants/1000 rhizotrons phenotyped in
greenhouses, thousands of seeds and more than four hundred plantlets daily.
A High Throughput Plant Phenotyping Platform (PPHD), located in Dijon (France), is under
final stages of construction. It will provide the opportunity to apply well-characterized biotic
and abiotic constraints to several hundreds of genotypes (thousands of plants) and to
accurately measure a series of functional traits. Although it can also analyze plant
architecture and plant/plant interactions (ie crops versus weeds competition for resource
access and the consequence in terms of plant development), the PPHD is specifically
devoted to plant/micro organisms interactions. It allows establishing/testing causal
relationships between genetic markers and phenotypes related to plant performance under
a range of environmental conditions, including those forecasted by models of climate
change.
PPHD is constituted of a large building with S2 modular greenhouses and climatic chambers.
These are equipped with conveyors belts to homogenize plant growth conditions and
automatically bring plant units to the phenotyping cabinets. Six additional S2 greenhouses
are used for growing plants (either in pots or rhizotrons) when they do not need to be
phenotyped during their whole growth cycle. Phenotyping is based on image analysis (visible
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light, near infrared and fluorescence) which allows characterizing non destructively and
automatically i) a large variety of plant species and specifically designed high throughput
rhizotrons ii) seeds or microorganisms, plantlets.
The understanding of the genetic determinisms involved in plant/plant and plant/microorganisms interactions and the progress in selection/varietal innovation that will follow offer
a unique opportunity, today still underexploited, for designing sustainable agriculture with
large eco systemic services.
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VEGI: Value-directed Evolutionary Genomics Initiative
Authors:
Thomas Bureau
Presenter:
Professor Thomas Bureau
McGill University
Department of Biology
1205 Dr. Penfield Avenue
H2W2L3 Montreal
CA
1-514-398-6472
[email protected]
Abstract:
In general, genomics has been traditionally centered around the notion of identifying “host”
genes that can be gleaned from genomic sequence and the subsequent high throughput
characterization at the level of their gene expression and/or, if any, protein products. But
host genes make up only a small percentage of many eukaryotic, including plant, genomes.
Instead host genes are surrounded by a vast ocean of so-called non-coding DNA. Long
thought to be of little functional significance and not amenable to characterization by
traditional genomics approaches, recent evidence has surfaced indicating that the noncoding DNA harbours islands of sequences that may have profound functional significance.
We argue that this large and uncharted region of plant genomes is rich with potential
sequences of developmental significance and, importantly, agronomic application.
Furthermore, our proposed research project will allow the rapid harvest of the “low hanging
fruit” entering a pipeline for experimental and utility validation.
We intend to reveal and characterize these functional non-coding DNA sequences by
employing a strategy that combines comparative, population and functional genomics
approaches. This strategy involves not only computational or bioinformatics approaches but
also genome sequencing, expression profiling, gene disruption via insertion mutagenesis and
RNA interference, and detailed phenotype characterization. Key to our strategy is using
comparative and population genomics methodologies that uncover non-coding DNA
sequences that evolve under negative (purifying) or positive (adaptive) selection. Whereas
negative selection indicates sequences that are functionally conserved, positive selection
indicates sequences that have novel advantageous function. The other key component of
our strategy is extensive experimental characterization of triaged targets including the
exploitation of a newly installed automated phenomics platform. In consultation with our
agricultural economics team members and scientific advisory board candidate targets will be
selected that have the greatest potential for agronomic impact and, therefore, be candidates
to enter our processing pipeline.
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A high throughput early screening platform for selection of phosphorus
efficient maize genotypes
Authors:
Sylvia Morais de Sousa, Randy T. Clark, Flávia Ferreira Mendes, Antonio Carlos de Oliveira,
Leon V. Kochian, Maria José Vilaça de Vasconcelos, Newton Carneiro Portilho, Sidney Netto
Parentoni, Cláudia Teixeira Guimarães, Jurandir Vieira Magalhães.
Presenter:
Dr. Sylvia Morais de Sousa
EMBRAPA Maize and Sorghum
Rod. Mg 424
Km 45
35701-970 Sete Lagoas
BR
+55313027-1293
[email protected]
Abstract:
Phosphorus (P) is an essential nutrient to the plants and is acquired from the rhizosphere
solution as inorganic phosphate (Pi), primarily in the form of H2PO-4. In tropical soils, Pi
concentration in the soil solution is often low and its diffusion strongly limited by fixation to
aluminum and iron oxides in the clay fraction. Hence, P is one of the least available mineral
particularly in highly weathered, tropical soils, limiting substantially plant growth. An
interesting approach to circumvent P deficiency in tropical areas is to explore the genetic
diversity available in plants to breed cultivars more efficient in P acquisition. This study
aimed to standardize the growth conditions in nutrient solution and to define phenotypic
traits for a high throughput early screening platform in order to select maize genotypes
more efficient in P acquisition. Field phenotyping results under low and high P conditions
showed that genotype L3 has a higher P acquisition efficiency than L22. These two
contrasting genotypes were used for nutrient solution phenotyping standardization. These
results indicated that morphological characteristics as P content in shoots, root:shoot dry
weight, root volume and fine roots (1-2 mm) after 12 days of growth under 2.5 μM P in
Magnavaca´s solution seemed to be the best parameter for early selection of maize
genotypes under P deficiency. Also an imaging system was improved, permitting a faster
quantification of the entire root system. Expression profile suggested that Rtcs, Rth3 and Bk2
would be good candidate genes for additional screening criteria of P efficient maize
genotypes. The genetic studies showed that most of the root characteristics had a high
heritability and a low coefficient of variation. Moreover, a high correlation was found among
root morphology traits, whereas no correlation was detected between hybrids and inbred
lines for those traits. Thus, these results are essential to proceed an early selection for P
efficiency in maize and to support advanced molecular and physiological studies, culminating
on the generation of maize cultivars more efficient in fertilizers use.
22
Overcoming the phenotyping gap - experiences with the LemnaTecScanalyzer 3D platform investigating drought tolerance in barley
Authors:
Kerstin Neumann, Nils Stein, Andreas Graner, Christian Klukas, Alexander Entzian, Benjamin
Kilian
Presenter:
Kerstin Neumann
IPK Gatersleben
Corrensstrasse 3
06466 Gatersleben
DE
+49394825816
[email protected]
Abstract:
The LemnaTec-Scanalyzer 3D system in the IPK Gatersleben was established in 2008 and was
one of the first LemnaTec-platforms in the public domain. Since then it is used for
phenotyping drought tolerance of different barley cultivars. Plants are phenotyped fully
automated with three different camera systems using I) visible light, II) fluorescence, and III)
near infrared. In the beginning, several replications of a vegetative drought stress
experiment were conducted using parents of a DH-population Morex and Barke, for testing
the reproducibility of phenotypic values with the Scanalyzer system and gaining experiences.
Since autumn 2010, the IPK is involved in the CROP.SENSe.net project and drought stress is
applied to a barley core set of eight old and eight modern german spring barley cultivars.
The set shows a good phenotypic diversity in growth under control and drought stress
conditions. In future, a larger set of a worldwide spring barley collection will be phenotyped
for a genome-wide association study.
23
Measuring shade-induced movements of Arabidopsis leaves using the
Scanalyzer HTS – a novel phenotyping approach
Authors:
Tino Dornbusch, Christian Fankhauser
Presenter:
Dr. Tino Dornbusch
University of Lausanne
Centre for Integrative Genomics
Genopode building
1015 Lausanne
CH
++41 21 692 3942
[email protected]
Abstract:
Most higher plants are able to position their leaves relative to the light source in order to
optimize light interception for photosynthesis. In dense canopies, plants usually shade each
other leading to an adaptation of their architecture, which is commonly denoted as the
shade avoidance syndrome (SAS).
Plants forming a rosette during their juvenile growth phase, such as Arabidopsis thaliana,
respond with an upward movement of leaves (hyponasty) and increased petiole elongation
upon being shaded. Moreover, the circadian clock gates these growth responses, leaves
being more horizontal in the morning, reaching a more vertical position in the evening and
returning to a horizontal inclination in the morning.
Measurements of petiole length and angle, as important SAS traits in Arabidopsis, have
usually involved photogrammetry or hand-operated devices, rendering those techniques
unsuitable for high-throughput screenings. Here, we propose to use a custom-built version
of the Scanalyzer HTS (Lemnatec GmbH, Würselen, Germany) to record time-lapse laser
scanner images of Arabidopsis rosettes and measure their circadian leaf movements. Shade
conditions (low R/FR) in the Scanalyzer HTS are mimicked using a FR diode array.
Height-scaled images (output of laser scanning) are recorded each hour during a period of
48-72 hours. The image stack is subsequently processed as summarized hereafter:
i) Conversion of height-scaled laser scanner images to 3D point clouds
ii) Segmentation of point clouds to relate a sub-set of points to individual plants
iii) Selection of the basal plant point P0 (geometric origin of leaves)
iv) Selection of the blade-petiole intersection points PL
v) Fitting of a parametric surface that superimposes best with the point cloud using the
selected points P0 and PL
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As a result, surfaces of selected individual leaves are depicted as parametric surfaces
(polygon meshes), which in turn are computed using a 3D leaf model. The model parameters
petiole angle and length are the SAS traits we are interested to measure. We here present
our novel phenotyping approach using the Scanalyzer HTS, demonstrate its robustness and
show its applicability on data sets obtained from shade avoidance experiments with
Arabidopsis using a range of genotypes.
25
Phenotyping of plant material at Wageningen UR
Authors:
Gerie Van der Heijden, Jochen Hemming, Henk Jalink, Jaap Kokorian, Gerard van der Linden,
Gerrit Polder, Rick van de Zedde
Presenter:
Dr. Gerie van der Heijden
Wageningen UR
Droevendaalsesteeg 1
6708 PB Wageningen
NL
+31 317 480750
[email protected]
Abstract:
Using image analysis to measure plants for breeding and other plant research purposes has a
long tradition within Wageningen UR.
It includes spectroscopic/hyperspectral imaging, 3D imaging and chlorophyll fluorescence.
In this overview we will show image analysis applications of plants, ranging from seeds and
seedlings to growing plants, flowers and fruits, including disease detection.
26
Medium-throughput phenotyping of individual Lolium perenne plants under
field conditions: an easy and low-cost procedure
Authors:
Lootens P.(1), Ruttink T.(1), Rohde A.(1), Carré S.(2), Combes D.(2), Barre Ph.(2), Roldán-Ruiz
I.(1)
Presenter:
Dr. Peter Lootens
ILVO
Caritasstraat 21
9090 MELLE
BE
+32 9 272 29 00
[email protected]
Abstract:
Corresponding author: [email protected]
Association and QTL mapping studies in agricultural crops require phenotypic
characterization of large, replicated collections of plants. The phenotyping is done under
growing conditions similar to those in the field. We have developed low-cost image capture
and analysis procedures to characterize large collections (about 2000 individuals) of L.
perenne plants. L. perenne, an important forage grass of temperate regions, can be planted
in monocultures or in mixed stands (grazed or mown). Biomass yield and persistence are
important breeding goals.
We described the phenotypic diversity of architectural characteristics of a L. perenne
association mapping population (including wild accessions, breeding material and
commercial cultivars). To estimate growth and regrowth capacity, we used a mowing regime
that simulated pasture exploitation for each genotype at two locations (Belgium, France)
over two seasons. Using parameters derived from top and side-view images, we described
plant volume, habitus and geometry in ways that single manual measurements of plant
height or diameter alone cannot. Time series at either low resolution (bi-monthly intervals to
capture ground coverage potential) or high resolution (weekly intervals to capture leaf
elongation), helped us design dedicated analysis of growth dynamics.
Image analysis assessments were compared with classical manual measurements such as
plant height, tiller number and biomass yield. The images led us to highly informative
parameters for describing plant architecture and growth potential. We discuss how we
overcome technical problems of taking images under non-standardized conditions, the
image-analysis procedures and the correlation between extracted parameters and manual
measurements.
27
High-throughput phenotyping technology for maize roots
Authors:
Martin O Bohn and Tony E Grift
Presenter:
Dr. Martin O Bohn
University of Illinois at Urbana-Champaign
1102 S Goodwin Avenue
61801 Urbana IL
US
217 244 2536
[email protected]
Abstract:
This presentation describes the development of high-throughput measurement techniques
allowing acquisition of phenotypical data describing maize roots. One of a maize root’s traits
is the level of complexity, which was expressed in a Fractal Dimension (FD) calculated from
root images. Another important trait is the Root Top Angle (RTA) that was measured using a
new machine vision algorithm. The measurement system consisted of a semi-automated
imaging box that provided a highly diffuse lighting scene and allowing imaging of up to 800
roots per day. The measurement techniques were evaluated using roots recovered from a
large set of recombinant inbred lines (RILs) derived from two crosses between maize
inbreds. The used parental inbreds are known to have different root characteristics and their
progeny are expected to show segregation for root traits. Since for the measurement of root
traits were non-existent, no comparisons to these standard protocols could be made.
Nevertheless, the data showed that the techniques were capable of confirming significant
differences in FD among parental inbreds and their progeny, as well as measuring variations
in RTA that are known for the inbreds and their crosses. In addition, first hypotheses about
the inheritance of root complexity (as expressed in the FD) and RTA in maize were derived
and tested: initial evidence showed that root complexity is a phenotype probably
determined by a multitude of genes with small effects.
28
High-throughput analysis of root system architecture in gel-based imaging
system
Authors:
Jenn To, Jinming Zhu, Paul Ingram, Ian Davis, Philip Benfey and Tedd Elich
Presenter:
Dr. Jennifer To
GrassRoots Biotechnology
302 E. Pettigrew St
27701 Durham NC
US
919.747.7410
[email protected]
Abstract:
Root systems in land plants are required for physical anchorage, nutrient acquisition and
interactions with the soil biome. Signaling networks between the root and shoot regulate
developmental and metabolic pathways to coordinate plant growth. The spatial
configuration of different types and ages of roots in a plant is described as root system
architecture (RSA). RSA traits are highly plastic and facilitate adaptation to different
environmental conditions. Genetic variations in RSA can enhance agronomic traits in crops
and have also been implicated in soil organic carbon content. RSA traits present major
opportunities for enhancing crop yield, nutrient efficiency and stress tolerance, as well as
agricultural sustainability. However, high throughput characterization of RSA traits has
lagged behind that of above ground traits due to the difficulty of below ground imaging and
the complexities of soil composition. Recently, multiple groups have reported advances in
root phenotyping methods. Our group has implemented a cost-effective and sensitive gel
imaging system for non-destructive characterization of RSA under controlled conditions. The
three dimensional structure of the root system is captured over a series of 2D images
collected in a full 360 rotation. This system has been adapted for analyzing RSA along a
developmental series in a variety of plant species, including rice, maize, switchgrass,
sorghum and model grasses. In the monocot model Brachypodium, this multi-parameter
analysis can accurately classify inbred lines and indicates strong genetic effects on nutrientdependent responses. Characterization of RSA under differential nutrient availability in
Brachypodium recombinant inbred lines for QTL analysis is ongoing. Applications of this
phenotyping technology for agricultural and biofuel crop improvement will be discussed.
29
Towards 4D space and time models of plant root development
Authors:
Thorsten Schmidt1, Taras Pasternak2, Dorothée Aubry2, Alexander Dovzhenko2,3, William
Teale2, Hans Burkhardt1,3, Olaf Ronneberger1,3, Klaus Palme2,3,4,5
1 Institute of Computer Science, Chair for Pattern Recognition and Image Processing, AlbertLudwigs-Universität Freiburg, Georges-Köhler-Allee 52, 79110 Freiburg, Germany
2 Institute of Biology II, Faculty for Biology, Albert-Ludwigs-Universität Freiburg,
Schänzlestraße 1, 79104 Freiburg, Germany
3 bioss – Center for Biological Signaling Studies, Albert-Ludwigs-Universität Freiburg,
Albertstraße 19, 79104 Freiburg, Germany
4 Frias – Freiburg Institute for Advanced Studies, Albert-Ludwigs-Universität Freiburg,
Albertstraße 19, 79104 Freiburg, Germany
5 FRISYS, Faculty for Biology, Albert-Ludwigs-Universität Freiburg, Albertstraße 19, 79104
Freiburg, Germany
Presenter
Professor Klaus Palme
University of Freiburg
Institute of Biology II / Molecular Plant Physiology
Schaenzlestr. 1
79104 Freiburg
DE
0049 761 203 2658
[email protected]
Abstract:
Improvements to crops have been mainly based on biomass and seed yield and, accordingly,
have focused on the aerial portion of the plant. However, the root system is also
indispensable for plant function. Due to its structural and morphological complexity, the
developing root system has been largely neglected by plant breeders. Shaping the root
system to maximize food production is further complicated by technical limitations in
quantitatively measuring roots. This is due to (1) the difficulty in non-destructively
quantifying position and performance of root structures below the ground, (2) the lack of
tools to assess automatically and quantitatively the complex root systems of plant species in
a standardized way, (3) the need to integrate large statistically relevant data sets into a
general root growth model to accurately model root development in cases where not the
whole root system is visible, and (4) to predict growth behavior under a wide range of
conditions.
To achieve a detailed functional and quantitative understanding of root systems, specific
cellular features must be quantified in the three-dimensional (3D) context of cells and the
root organ. We have developed the intrinsic Root Coordinate System (iRoCS) as a reference
model for the Arabidopsis thaliana root. An associated automated image processing pipeline
30
annotates cells according to their location, type, and division status. iRoCS enables the direct
quantitative comparison between roots at single cell resolution, and is able to incorporate
any recognizable feature. To demonstrate the power of the technique, we measured the
capacity of changing patterns of auxin flux within the RAM to effect subtle changes in cell
division patterns. Perspective and applications of this novel approach will be shown.
31
KeyTrack Root Phenotyping - At the Root of Development
Authors:
Anker Sørensen, Marco van Schriek, KeyGene, Wageningen, NL
Presenter:
Dr. Anker Sørensen
Keygene N.V.
Agro Business Park 90
6708 PW Wageningen
NL
+31317466866
[email protected]
Abstract:
Plant roots are economically very relevant since the distribution pattern of the root system
in the soil determines the zone of water and nutrient availability to plants and differences in
root and root development is related to crop yields and abilities to escape drought and soilborne diseases.
The KeyTrack system allows for efficient execution of root research in a high throughput
manner and is a robust phenotyping platform in a greenhouse setup. The phenotyping is
based on imaging technology and uses the potential of a track that moves all plants fully
automated through the greenhouse compartment and scanning areas. The plants grow in
individual containers and are photographed at pre-set points in time and from different
angles.
The research presented encompasses the creation of an automated root phenotyping
protocol and image analysis pipeline. The material used for this research is the tomato
LA716 S. pennellii introgression line library created by prof. Dani Zamir. The research
described merges the phenotypic data generated with genotypic knowledge, to feed lead
discovery and root development in tomato.
32
Studying drought tolerance in Populus tremula (L.)
Authors:
Doris Krabel, Matthias Meyer, Gerhard Helle, Björn Günther
Presenter:
Professor Doris Krabel
Technische Universität Dresden
Pienner Str. 7
D-01737 Tharandt
DE
035203-3831202
[email protected]
Abstract:
Within the last decade Populus spec. (L.) has been developed to one of the main research
objects of molecular genetics on woody plants. Among others two reasons for this
attractiveness is that most Poplar species are easy to propagate compared to other tree or
shrub species which makes a high-throughput cultivation of the plants possible and secondly
the genome is comparably small (˃ 41,000 protein coding genes). Both are favourable
characteristics for a plant/plant species to become a model organism.
Additionally due to the favourable volume to density relation of wood, the production of fast
growing trees for bioenergy purposes became more and more attractive for economy.
Because of this development foresters and tree breeders focused in search of genotypes of
poplar and other fast growing tree species like willow suitable for cultivation in short
rotation coppices. But despite the above mentioned positive aspects the major problem
concerning short rotation coppices of poplar is their low profit due to a high water demand
for satisfactory biomass production.
For the description of drought tolerance in aspen we started to identify changes in the tree
ring architecture. There our investigations are focused on tree ring width, fibre cell length,
vessel cell length, mean annual δ 13C as well as mean X-ray density as part of a functional
genomics approach.
33
Chlorophyll a fluorescence to phenotype wheat genotypes for heat tolerance
Authors:
Eva Rosenqvist1, Carl-Otto Ottosen2, Dew Kumari Sharma1 and Sven Bode Andersen1
1Department of Agriculture and Ecology, Faculty of Life Sciences, Copenhagen University,
Frederiksberg C, Denmark
2Department of Food Science, Aarhus University, Aarslev, Den
Presenter
Dr. Carl-Otto Ottosen
Dept. of Horticulture
Kirstinebjergvej 10
5792 Årslev
DK
+4522903105
[email protected]
Abstract:
Wheat (Triticum aestivum L.) is a heat-susceptible crop throughout its phenological stages,
flowering phase being the most sensitive stage. Early stress detection method with advanced
physiological measurements may provide new dimensions to establish a high throughput
phenotyping method. Chlorophyll a fluorescence has been a versatile tool in photosynthesis
research to measure plant responses to various abiotic stresses that affect PSII. We aim to
establish a reproducible protocol to measure response of wheat genotypes to high
temperature, based on the physiological marker, maximum quantum efficiency of PSII
photochemistry (Fv/Fm). We subsequently used this standardized protocol for mass
screening of wheat genotypes. Our results showed that the temperature of 40°C in 300
µmols m-2s-1 light for 72 h was appropriate to induce heat stress to reveal genetic variation
among cultivars. Initial phenotyping of 1300 wheat genotypes at a milder stress at 38oC for 2
h showed a heritability of 7% for Fv/Fm. However, a harsher stress at 40oC for 72 h in
repeated experiments on 138 extreme performing lines resulted a genotype dependent drop
in Fv/Fm and an increased genetic component of 15%. Our protocol seems to be stable over
environments since interaction between genotypes and the three repeated experiments
separated in time was not statistically significant.
The chlorophyll a fluorescence protocol may enable identification of wheat lines reliably
more or less tolerant to heat treatment at 40oC. Such differential lines can subsequently be
used to study the genetic and physiological nature of stress tolerance, facilitating genetic
dissection of quantitative trait into simpler and more heritable traits.
More detailed studies on the interaction between different temperatures and elevated CO2
during the growth phase reveal that the sensitivity of the cultivars might be reduced due to
higher temperatures and CO2, but the patterns remain the same.
34
High Throughput Phenotyping for the Improvement of Crop Stress Tolerance
Authors:
Adel Zayed, Monsanto Company, RTP, NC, USA
Presenter
Dr. Adel Zayed
Monsanto Company
110 T.W. Alexander Drive
P.O. Box 110604
27709 RTP NC
US
919-406-5708
[email protected]
Abstract:
Not available
35
Restriction of Leaf Conductance under High Vapor Pressure Deficit and Nonlimiting Water Conditions is Crucial for Terminal Drought Tolerance of
Cowpea [Vigna unguiculata (L.) Walp.]
Authors:
Nouhoun BELKO1, 4, Mainassara ZAMAN-ALLAH2, Ndeye Ndack. DIOP1, 3, Ndiaga CISSE1,
Gerard ZOMBRE4, Jeffrey. D. EHLERS3, Vincent VADEZ2,*
Presenter:
Dr. NOUHOUN BELKO
CERAAS
BP 3320 Thies-Escale, Thies (Senegal)
BP 3320 Thies Thies
SN
00221 70 455 75 63
[email protected]
Abstract:
Drought stress is one of the major abiotic constraints that limit agricultural productivity in
the semi-arid tropics where climate change is likely to make droughts even more severe for
the future. For enhancing performance of crops facing terminal drought stress like cowpea,
the traits related to how plants manage limited water resources are essential. In this work,
the growth, transpiration rate [TR], canopy temperature [CT] and index of canopy
conductance [Ig] of cowpea lines contrasting for their response to drought in the field were
tested under non-limited water conditions across different atmospheric vapor pressure
deficit [VPD] to investigate whether tolerant and sensitive genotypes differ for the control of
leaf water-loss.
Overall, plants developed larger leaf area under low than under high VPD conditions and
there was a consistent trend of lower growth in tolerant than in sensitive lines. Substantial
differences were recorded among genotypes for their TR response to VPD with tolerant
showing significantly lower TR than sensitive ones especially at the time of the day with the
highest VPD. Significant variations were also found among genotypes for their response of
TR to increasing VPD with some tolerant genotypes exhibiting a clear VPD breakpoint at
about 2.25 kPa above which there was very little increase in leaf water-losses. In contrast,
the sensitive lines presented a linear increase in TR as VPD increased. CT estimated by
thermal imagery correlated well with TR and Ig and could therefore be used as proxy for TR.
These results indicated that the control of TR discriminated tolerant from sensitive
genotypes and may, therefore, be used as reliable indicator of terminal drought stress
tolerance in cowpea.
The water saving characteristics exhibited by some lines are hypothesized to make more soil
water being available for pod filling stage, which is crucial for terminal drought situations.
Keywords: Canopy temperature, Climate change, Drought stress, Growth parameters,
Thermal imagery, Transpiration rate, Vapor pressure deficit, Vigna unguiculata.
36
Needs and Expectations of Phenotyping from a breeding perspect
Authors:
Harold Verstegen
Presenter:
Harold Verstegen
KWS-Lochow
Ferdinand-von-Lochow-Str. 5
29303 Wohlde (Bergen)
DE
+49 5051 477-116
[email protected]
Abstract:
The need for robust non-invasive HT Phenotyping is well known. With the current
technological developments the first applications are emerging for praktical use. However,
more studie is needed to support the an effective implementation and operational use in
current breeding programs. In this short presentation some studies in attemped with rye will
be presented to show the needs and chalanges from a breeding perspective.
37
CROP.SENSe.net – Phenotyping Science for Plant Breeding and Management
Authors:
Joanna Post, Heiner Goldbach, Jens Léon, Uli Schurr
Presenter:
Dr. Joanna Post
CROP.SENSe.net, University of Bonn
Institute of Crop Science and Resource Conservation (INRES)
Karlrobert-Kreiten-Str.13
53115 Bonn
DE
+49 228 732159
[email protected]
Abstract:
Qualitative and quantitative improvements are required in crop breeding and production to
respond to the global challenges of a rapidly rising population, changes in demand, climate
change and the need to optimise resources and maintain increasing production rate. In
order to capitalise on the vast knowledge gained through genomics (and other -omics)
research, scientists must alleviate the “phenotyping bottleneck” in plant sciences.
Improvements can only be made by interdisciplinary research and knowledge links that
integrate the advances that have been made in sensor, imaging and computing technology
to accelerate breeding methods, reduce experimental resource requirements and enable
multiple, simultaneous and objective data to be collected and analysed.
CROP.SENSe.net brings together researchers from plant science, soil science, geodesy, IT,
maths and physics with partners from breeding and industry to develop and apply
phenotyping science for plant and soil analysis in the lab and field, so as to non-destructively
and quantitatively analyse and screen plant phenotype throughout the plants' life cycle. The
ultimate aim of this interdisciplinary project is early, non-biased and faster assessment of
traits to enable greater efficiency in crop breeding and to optimise decision making in crop
management.
CROP.SENSe.net research uses a wide array of sensor technologies over almost the complete
range of electromagnetic radiation: stereo imaging, visible and multispectral analysis,
infrared, wideband radar, TeraHertz and magnetic resonance spectroscopy. A range of
external (morphology and growth dynamics) and internal (physiological) architectural and
stress-related characteristics of individual plants and populations are measured over the
growing season, for the proxy plants barley and sugar beet. An important element is making
“hidden” structures and functions visible. Intelligent data evaluation is enabling analysis of
information on plant phenotype over space and time on the same plants. Data fusion –
merging data (signals) from different sensors is ongoing so as to enable early identification
of plant traits and to link this with reference analysis of biochemical and physiological stress
indicators, and ultimately back to genotype.
38
CROP.SENSe.net is jointly led by Prof H Goldbach and Prof J Leon, Agriculture Faculty,
University of Bonn and Prof U Schurr Institute of Bio- and Geosciences, Forschungszentrum
Jülich. It is funded by the German Federal Ministry of Education and Research (BMBF) for 5
years within the scope of the competitive grants program Networks of excellence in
agricultural and nutrition research (Funding code: 0315529).
1 University of Bonn, Faculty of Agriculture
2 Forschungszentrum Jülich, IBG-2: Institute of Bio- and Geoscience
PARTNERS (in alphabetical order):
Bayer CropScience; University of Bonn, Faculties of Agriculture, Mathematics and Natural
Sciences, and Institute of Molecular Physiology and Biotechnology of Plants; Cologne
University, Institute of Geography; Emisens GmbH; Forschungszentrum Jülich, Institut für
Bio- und Geowissenschaften, Pflanzenwissenschaften IBG 2 and Agrosphere IBG 3;
Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR); Fritzmeier
Environment GmbH & Co. KG; Julius Kühn Institute-Geilweilerhof; Karlsruher Institute for
Technology (KIT), Botanical Institute; Kiel University, Institute for Plant Breeding; KWS Saat
AG; Leibniz Institute of Plant Genetics and Crop Plant Research (IPK); Marburg University,
Faculty of Physics; Nemaplot, Bonn; SAATEN-UNION GmbH; Technical University of Munich,
Chair of Plant Nutrition, and Chair for Computer Vision and Pattern Recognition; South
Westphalia University of Applied Sciences; W. von Borries-Eckendorf GmbH & Co. KG.
39
DROPS: An EU-funded project to improve drought tolerance in maize and
wheat
Authors:
Francois Tardieu (INRA, Montpellier, France), Alain Charcosset (INRA, Paris, France), Xavier
Draye (Univ. of Louvain, Belgium), Graeme Hammer (Univ. of Queensland, Brisbane,
Australia), Bjorn Usadel (MPIMP, Postdam, Germany), Roberto Tuberosa (Univ. of Bologna,
Italy)
Presenter
Professor Roberto Tuberosa
University of bologna
DISTA, Viale Fanin 44
40127 Bologna
IT
+39-051-2096646
[email protected]
Abstract:
DROPS (DROught-tolerant yielding PlantS; www.drops-project.eu) is an EU-funded project
that will develop novel methods and strategies to improve crop performance under waterlimited conditions. An interdisciplinary approach based on high-throughput phenotyping
under controlled and field conditions will generate data that will be used for
ecophysiological modeling to predict the performance of maize and wheat under fluctuating
water regimes. The identification of Quantitative Trait Loci (QTLs) for morpho-physiologcal
traits that influence yield under drought conditions will produce additional data for modeling
crop performance based on QTL effects. The project will target root architecture,
transpiration efficiency, vegetative growth maintenance and seed abortion. In particular,
DROPS will:
- Develop new screens that will consider indicators which are (i) highly heritable and
measurable in a high-throughput fashion in phenotyping platforms; (ii) based on metabolite
concentration, sensitivity parameters of models or hormonal balance; (iii) genetically related
to target traits and able to predict genotype performance in the field via simulation and/or
statistical models;
- Explore the natural variation of the target traits by (i) linking the target traits to
physiological pathways, genes or genomic regions (ii) assessing the effects of a large allelic
diversity for the four target traits via association genetics;
- Support crop improvement strategies by developing methods for estimating the
comparative advantages of relevant alleles and traits in fields with contrasting drought
scenarios. This will be achieved via field experiments and by developing new crop models
able to estimate the effects of alleles on crop growth, yield and water-use efficiency.
40
European initiatives on phenotyping platforms
Authors:
S. Crepieux
Presenter:
Dr. Sebastien CREPIEUX
European Commission, DG Research&Innovation
irectorate Biotechnologies, griculture, Food
Square de Meeus, 8/01
1049 Brussels
BE
+32 2 298 69 49
[email protected]
Abstract:
There are many interests for Europe to favour the investment in the development of the
phenotyping technology:
- Improve breeding techniques and efficiency with an increased genomics understanding and
applicability
- Build infrastructure to provide the scientific community with the necessary tools to answer
biological question: physiology, stress tolerance, yield components and productivity… that
may help to solve future challenges: climate change, biotic and abiotic stresses and thus help
to protect European agriculture
- Enhance the link and collaboration between European breeding companies and research
consortium through access to infrastructures and collaborations (direct applicability of
results / work on European varieties...)
- Boost the development of SME's developing phenotyping infrastructures and technologies
and foster jobs and innovation in this field
- Finally Europe has probably a unique chance to become the world leader on "Phenomics"
technology as Europe already possesses many world leading groups in plant phenotyping
In the last few years, projects with strong phenotyping components have been funded under
the European Commission Framework Programme 7
(http://cordis.europa.eu/fp7/home_en.html), for example the DROPS project (www.dropsproject.eu) under the Cooperation programme, which aims at developing novel methods
and strategies for genetic yield improvement under dry environments and for enhanced
plant water-use efficiency, or the opening of a call under the "Infrastructure" capacities
programme in 2010, funding the development of a "European plant phenotyping network".
The presentation will remind the strategic interests for Europe to develop a strong
Phenotyping community and the different projects that have been funded under the FP7
programme of DG Research&Innovation.
41
How Sclerotinia sclerotiorum meddles with programmed cell death signaling
to savour its vegetable host?
Type of presentation: poster
Authors:
Claudine Balagué, Derry Voisin, Laure Perchepied, Bruno Grezes-Besset and Dominique
Roby.
Laboratoire des Interactions Plantes-Microorganismes (LIPM) UMR CNRS/INRA 2594/441
Chemin de Borde-Rouge BP 52627 31326 Castanet-Tolosan Cedex, France.
BIOGEMMA, Laboratoire de génomique des Oléoprotéagineux et Pathologie Grandes
Cultures, Domaine de Sandreau, 6, chemin des Panedautes, 31700 MONDONVILLE - FRANCE
Presenter:
Dr. Derry Frederique Voisin
CNRS LIPM
Chemin de Borderouge BP52627
31326 Castanet Tolosan
FR
0033 5 61 28 53 26
[email protected]
Abstract:
Sclerotinia sclerotiorum, a necrotrophic fungus with a wide host range, causes white mould
on oilseed rape, soybean and many other crop species leading to major agricultural losses
yearly. The model plant Arabidopsis thaliana, close relative of rapeseed (Brassica napus) and
natural host from this ascomycete phytopathogen (Wang et al., 2008), displays a high level
of natural variation of resistance/susceptibility to S. sclerotiorum reflecting variable degrees
of success in host colonization and induction of programmed cell death (PCD) (Perchepied et
al., 2010). By challenging A. thaliana mutants affected in different signaling pathways leading
to resistance, we previously determined that resistance to S. sclerotiorum mostly depends
on jasmonic acid, absiscic acid and ethylene signaling. In resistant ecotypes such as
Columbia-0 and Rubezhnoe-1, the Reactive Oxygen Species (ROS) H2O2 and Nitric Oxyde
(NO) were found to accumulate quicker; as a consequence of this earlier oxidative burst,
local cellular response may offer stronger protection against the fungus. Interestingly, S.
sclerotiorum was recently found to produce oxalic acid to buffer the effect of reactive
oxygen species (ROS) from its host upon challenge. Once successful infection has taken
place, the effect of the phytotoxin stops and PCD is launched in invaded tissues (Williams et
al., 2011). So the possible manipulation of key regulators of PCD by this pathogen constitutes
an attractive hypothesis. We propose to test it by using lesion mimic mutants (lmm) that are
impaired in the initiation or the repression of controlled cellular suicide (Lorrain et al., 2003).
Screening through a relevant collection of lesion mimic mutants and determination of the
role of key regulators of PCD will be presented.
42
References:
Ai-rong Wang, Wen-wei Lin, Xiao-ting Chen, Guo-dong Lu, Jie Zhou and Zong-hua Wang,
2008. Isolation and identification of Sclerotinia stem rot causal pathogen in Arabidopsis
thaliana. J. Zhejiang Univ. Sci. B 9:818-822.
Laure Perchepied, Claudine Balagué, Catherine Riou, Clotilde Claudel-Renard, Nathalie
Rivière, Bruno Grezes-Besset, and Dominique Roby, 2010..Nitric Oxide Participates in the
Complex Interplay of Defense-Related Signaling Pathways Controlling Disease Resistance to
Sclerotinia sclerotiorum in Arabidopsis thaliana.MPMI Vol. 23, No. 7, pp. 846–860.
Severine Lorrain, Fabienne Vailleau, Claudine Balague and Dominique Roby,2003. Lesion
mimic mutants: keys for deciphering cell death and defense pathways in plants? TRENDS in
Plant Science Vol.8 No.6
Brett Williams, Mehdi Kabbage, Hyo-Jin Kim, Robert Britt, Martin B. Dickman; 2011.Tipping
the Balance: Sclerotinia sclerotiorum Secreted Oxalic Acid Suppresses Host Defenses by
Manipulating the Host Redox Environment. PLoS Pathog 7(6): e1002107.
43
EthoGenomics: Identifying novel resistance genes in Arabidopsis thaliana
against the green peach aphid (Myzus persicae) and the Western flower
thrips (Frankliniella occidentalis) by genome-wide association mapping
Authors:
Manus Thoen*1,2,3, Karen Kloth*1,2,3, Harro Bouwmeester2, Maarten Jongsma3 & Marcel
Dicke1
1 Laboratory of Entomology, Wageningen University, P.O. Box 8031, 6700 EH Wageningen,
The Netherlands
2 Laboratory of Plant Physiology, Wageningen University, Droevendaalsesteeg 1, 6708 PB
Wageningen, The Netherlands
3 Business Unit Bioscience, Plant Research International, Wageningen University and
Research Centre, P.O. Box 619, 6700 AP Wageningen, The Netherlands
* These authors contributed equally
Presenter:
Karen Kloth
Wageningen University
Postbus 8031
6700 EH Wageningen
NL
0618671349
[email protected]
Abstract:
In nature, plants display an enormous degree of natural variation in defensive mechanisms
against insect herbivory. So far, agriculture has exploited only little of this diversity of
defenses and as a consequence environment-malignant and costly pesticides remain a
dominant method to control pests and diseases. Host-plant resistance is one of the
cornerstones of environmentally benign pest management systems such as Integrated Pest
Management (Panda and Khush 1995; Schoonhoven et al. 2005). However, a major
impediment in selecting resistant crop lines is that large numbers of crop lines need to be
screened for the effects they have on pest insects. Moreover, the mechanisms of resistance
to one pest are not necessarily also effective to another pest so that different pest species
require their own approach. To breed for crops that are resistant against insect pests, usually
targeted approaches are taken to identify genes involved in resistance. In this study we will
use a genetical genomics approach to identify mechanisms underlying natural resistance to
sucking insect pests. We will develop a novel automated video-monitoring method to screen
insect behavior and performance on 350 wild type accessions (HapMap collection) of
Arabidopsis thaliana that have been collected globally and genotyped for 250.000 SNPs . Via
this high-throughput system, the resistance against two major agricultural insect pests will
be screened, the green peach aphid, Myzus persicae, and the Western flower thrips,
Frankliniella occidentalis. The phenotypic data and high resolution haplotype map of
Arabidopsis thaliana will be used for association mapping of the genetic loci involved in the
44
resistance. We will subsequently identify genes and molecular markers for different
resistance mechanisms in the model plant Arabidopsis.
45
Decoding salt tolerance at the root
Authors:
M.M.Julkowska, M.A. Haring, C. Testerink
Presenter:
Magdalena Julkowska
SILS/University of Amsterdam
Science Park 904
1098XH Amsterdam
NL
+31205258436
[email protected]
Abstract:
Salt tolerance is an extremely complex trait involving many signalling pathways and different
adaptation strategies. The root is important for observations regarding salt stress. It is the
first organ to be exposed to salt and without necessary adaptations it won’t be able to
extract enough water required for plant survival. Because of the trait complexity, single gene
knockout mutants often fail to provide answers. In my project I am looking for natural
variation in salt tolerance within the Arabidopsis HapMap collection. By characterizing the
350 different accessions for salt-induced changes in Root System Architecture and
subsequent Genome Wide Association mapping, I aim to identify novel loci / alleles that are
responsible for increased salt tolerance.
46
New Genotype To Phenotype Models At The Intersection Of Genetics,
Physiology And Statistics; Smart Tools For Prediction And Improvement Of
Crop Yield
Authors:
Fred van Eeuwijk, Anja Dieleman, Alain Palloix , Marnik Vuylsteke, Chris Glasbey, Attila
Barocsi, Juan Jose Magan Cañadas, Ep Heuvelink, Gerie van der Heijden, Roeland Voorrips,
Marco Bink
Presenter:
Dr. Marco Bink
Biometris - Wageningen UR
Droevendaalsesteeg 1
6708PB Wageningen
NL
+31 317 481072
[email protected]
Abstract:
The prediction of phenotypic responses from genetic and environmental information is an
area of active research in genetics, physiology and statistics. Rapidly increasing amounts of
information become available on the phenotype as a consequence of high throughput
phenotyping techniques, while more and cheaper genotypic data follow from the
development of new genotyping platforms. In between genotype and phenotype, a wide
array of -omics data can be generated. Continuous monitoring of environmental conditions
has become an accessible option. This wealth of data requires a drastic rethinking of the
traditional quantitative genetic approach to modeling phenotypic variation in terms of
genetic and environmental differences. Where in the past a single phenotypic trait was
partitioned in a genetic and environmental component by analysis of variance techniques,
we nowadays desire to model multiple, and often time dependent, phenotypic traits as a
function of genes (QTLs) and environmental inputs, where we would like to include
intermediate genomic information as well. The U project ‘Smart tools for Prediction and
Improvement of CropYield’ (KBB -2008-211347), or SPICY, aims at the development of
genotype-to-phenotype models that fully integrate genetic, genomic, physiological and
environmental information to achieve accurate phenotypic predictions across a wide variety
of genetic and environmental configurations. In the presentation the objectives and
structure of SPICY as well as its philosophy will be discussed
47
Impact of Potato virus Y infection on plant growth and symptom expression
in different potato cultivars
Authors:
M. Pompe-Novak1, Š. Baebler1, K. Woroniecka2, J. Hennig2, K. Gruden1, M. Ravnikar1;
1National Institute of Biology, Ljubljana, Slovenia; 2Institute of Biochemistry and Biophysics,
Polish Academy of Sciences, Warszawa, Poland
Presenter:
Dr. Marusa Pompe Novak
National Institute of Biology
Vecna pot 111
1000 Ljubljana
SI
+386 41 962686
[email protected]
Abstract:
Potato virus Y (PVY) is of extreme economic importance as it is responsible for yearly losses
in production of crops from family Solanaceae in Europe, and thus the subjects of
investigation in many research groups all over the world. The tuber necrotic strain of Potato
virus Y (PVYNTN) causes potato tuber necrotic ringspot disease (PTNRD) in sensitive potato
(Solanum tuberosum L.) cultivars that is responsible for great losses in crop industry.
Sensitive cultivars of potato infected with PVYNTN show growth inhibition, faster
senescence and leaf drop, chlorotic ringspots and/or spot necrosis on inoculated leaves,
crinkles and mosaics on systemic infected leaves and necrotic ring spots on tubers. Viruses
from PVYN-Wi group can also cause severe symptoms on potato. Symptom development
and their severity depend on the isolate of PVY, potato cultivar, environmental conditions
and other factors. In our studies, differences in growth inhibition, senescence, leaf drop and
symptom appearance on leaves of four susceptible potato (Solanum tuberosum L.) cultivars
after the infection with two isolates of Potato virus Y, PVYNTN and PVYN-Wi, were
monitored at different times after infection. The results were complemented with
microarray and quantitative real-time PCR analyses of differentially expressed genes.
Kogovšek et al. (2011) Phytopathology in press.
Kogovšek et al. (2010) Plant Pathol. 59: 1121-1132.
Kogovšek et al. (2008) J. virol. methods 149 1-11.
48
Automatic System for Greenhouse Plant Evaluation with Vision Sensors
Authors:
Radu Sumalan, Daniel Moga, Zsolt Barabas, Laura Bigiylan, Nicoleta Stroia
Presenter:
Professor Radu Sumalan
Banat s University of Agricultural Sciences and Veterinary Medicine
Calea Aradului, 119
Calea Dorobantilor Bl. 9 ap.9
300645 Timisoara
RO
+40723547363
[email protected]
Abstract:
Recent years showed a growing interest in the use of vision technology in agriculture in
applications ranging from the detection of pests and diseases to automatic phenotype
analysis, plant evaluation and plant diagnostic. This paper presents the experience of
developing an automatic vision based system for plants in greenhouses. The proposed
system
addresses the problem of acquiring images in multiple specified locations inside a
greenhouse. It allows the use of different capturing devices (single camera, stereo head, and
time of flight camera) as well as lasers and light sources that can be positioned in specific
locations at repeatable positions. The system proposes an alternative to the approach with
multiple cameras placed in fixed position inside a greenhouse, offering a lower cost solution
by means of dedicated electromechanical devices able to carry the video sensors to the
locations of interest along
a rail system. Moreover, camera position (pan and tilt) and zoom are also programmable for
each location allowing for extra flexibility. The proposed setup is a fully wireless one. It can
accommodate IP cameras offering power from contained batteries that are charged with a
non-contact energy transmission system that offers the robustness to the environmental
conditions found inside greenhouses
49
Ultra-low density in field experiments accentuates phenotypic expression and
differentiation
Authors:
I. Tokatlidis, A. Kargiotidou*, V. Greveniotis*, C. Tzantarmas*
Dept. of Agricultural Development, Democritus Univ. of Thrace, Orestiada, 68200, Greece
* PhD students
Presenter:
Dr. Ioannis Tokatlidis
Democritus Universtity
Pantazidou 193
68200 Orestiada
GR
00306977982601
[email protected]
Abstract:
According to the equation of expected response to selection, selection effectiveness
enlarges by establishing growing conditions that allow application of high selection intensity,
accomplish high heritability, and enhance phenotypic differentiation. The scope of this work
is to emphasize how plant-to-plant distance affects phenotypic expression and
differentiation. It is now widely adopted that phenotypic expression increases as density
declines, achieving a plateau at a very low density. In essence this critical very low density
ensures elimination of any plant-to-plant interference for resources, in other words
approaches absence of interplant competition. Our data from studies in maize, wheat,
cotton and common bean conducted under both the typical for each crop density and the
absence of competition clearly illustrate that in the latter condition the third determinant
parameter of the above mentioned equation, i.e. phenotypic differentiation, also maximizes
for several agronomic traits. In other words, absence of competition by accentuating
phenotypic differences among genotypes facilitates breeder’s decision on single-plant
selection. Consequently, absence of competition is the optimal density condition to apply
crop breeding and reach the highest possible success in selection effectiveness, given that it
allows application of high selection intensity and optimizes heritability and phenotypic
differentiation.
Acknowledgments. This research has been co-financed by the European Union (European
Social Fund – ESF) and Greek national funds through the Operational Program "Education
and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research
Funding Program: Heracletus II.
50
Stress-specific root morphological responses in Arabidopsis thaliana
Authors:
Tony Remans, Sascha Truyens, Sofie Thijs, Nele Weyens, Kerim Schellingen, Heidi Gielen, Ann
Cuypers, Jaco Vangronsveld
Presenter:
Dr. Tony Remans
Hasselt University
Agoralaan
gebouw D
3590 Diepenbeek
BE
011-268329
[email protected]
Abstract:
Many soils worldwide are contaminated with excess metals or organic contaminants. On
these soils, plant growth may be aimed either for phytoremediation or for biomass
production. For the first, an extended development of the root system is desired, whereas
for the latter, this should be avoided. Therefore, careful quantification of root growthinhibiting and -activating responses by the contaminant(s) is crucial for optimal use of plants
on contaminated soils.
We routinely expose Arabidopsis thaliana wild-type and mutant plants to contaminants on
vertical agar plates and image root systems at 600 dpi using a conventional flatbed scanner
(Canon Canoscan 4400F) before manual measurement of only three primary root
architectural parameters (length of primary root, length and placement on primary axis of
lateral roots) using Optimas Image Analysis software (Media Cybernetics). Also, a large
number of secondary root growth parameters that are informative of the responses are then
calculated from these primary measurements using a self-developed automated Microsoft
Excel sheet.
Using this system, we revealed that three different metals caused distinct effects on lateral
roots (LRs). Both cadmium (Cd) and copper (Cu) exposure caused an increase in LR density,
but elongation of these LRs was more severely inhibited by Cd and less by Cu. In zinc (Zn)exposed plants, a decrease in both LR density and LR elongation was observed. Stressinduced morphogenic responses (SIMRs), consisting of a combination of both growth
promoting and inhibiting responses that result in a redistribution of growth leading to stress
avoidance, had been described [1], and it was assumed that whichever abiotic stress would
always lead to similar responses due to common underlying molecular mechanisms [1,2].
Our observations challenge this idea as we observed three different responses for the three
different metals. Furthermore, the response to Cu resembles the response to P-deprivation,
but the use of a split-root system revealed that the response to Cu is strictly local, unlike the
systemic trigger of the low-P response by perception in the primary root tip.
51
These metal-specific morphological responses indicate the existence of underlying metalspecific sensing and signalling pathways that lead to distinct responses. Application of
forward genetics would identify molecular components, but high throughput phenotyping
systems are necessary. Therefore, in a reverse genetics approach, mutants in genes related
to root growth and hormonal signalling are being studied to identify the underlying
molecular components.
Furthermore, the effect of plant-associated bacteria on root morphogenesis under Cd- and
2,4-DNT-induced stress conditions was investigated. Whereas 1 mg L-1 2,4-DNT was severely
toxic to Arabidopsis seedlings, leading to 80 % reduction of root length, inoculation of the
plant growth agar with DNT-degrading bacteria partially relieved the growth inhibitory
effect, resulting in a doubling of the root length in comparison with exposed non-inoculated
plants. This was due to the combined effect of plant-growth promoting characteristics of the
bacteria under pollution conditions and the detoxification of 2,4-DNT to less harmful
products.
From an ecological point of view, we are interested in quantifying the effectiveness of the
specific responses, not only to avoid the stress condition, but also to colonize less or noncontaminated areas. Here, plant-associated bacteria may assist the plant in tolerating the
contamination and colonize contaminated soils. Similar experiments may be conducted for
other (plant species x associated bacteria) interactions to evaluate the effectiveness of
colonizing contaminated patches for phytoremediation purposes. High throughput
phenotyping will clearly accelerate discoveries in this area.
[1] Potters et al. (2007) Trends in Plant Science 12:98-105. [2] Potters et al. (2008) Plant, Cell
and Environment 32:158-169
Acknowledgements
TR has a post-doctoral fellowship and STr and STh have a PhD grant of the Research
Foundation-Flanders (FWO).
52
Attendee List:
No
last name
company
city
1
Adimargono
Sheila
Max Planck Institute for
Plant Breeding Research
Syngenta Seeds
Cologne
DE
2
3
Adriaensen
Remy
Enkhuizen
NL
André
Olivier
Laboratoire en sciences
végétales UMR CNRS/
UPS 5545
IPK Gatersleben
CASTANETTOLOSAN
FR
4
Fernando
5
AranaCeballos
Assheuer
Gatersleben
DE
Juelich
DE
Berlin
DE
Aberystwyth
GB
Michael
Project Management
Juelich
FU Berlin - Plant
Physiology
IBERS Aberystwyth
University / See3D Ltd
Syngenta Crop Protection
6
Baier
Margarete
7
Bartlett
Thomas
8
9
Bartsch
Bathaeian
Stein
CH
Mehdi
Grünewald Veredelings bv
NL
BELKO
NOUHOUN
CERAAS
'sGravenzande
Thies
10
11
SN
Bhattachary
a
Bickers
Deb Ranjan
Trishna Biotech Pvt Ltd
122001
IN
Udo
Bayer CropScience AG
Frankfurt/Main
DE
Bink
Marco
Wageningen
NL
14
Bohn
Martin O
15
Boos
Richard
16
17
18
19
20
21
22
23
Brandl
Franz
Biometris - Wageningen
UR
University of Illinois at
Urbana-Champaign
Enza Zaden Seed
Operations b.v.
Syngenta
Bruggink
Tonko
Syngenta
Bureau
Thomas
carpentier
12
13
first name
Thomas
Urbana
state
IL
country
US
Enkhuizen
NL
Basel
CH
Enkhuizen
NL
McGill University
Montreal
CA
sebastien
KULeuven
Leuven
BE
Celine
BERNARD
INRA de DIJON
DIJON
Christensen
Cory
Dow AgroSciences
Portland
Cornelissen
Marc
Bayer BioScience NV
Gent
BE
CREPIEUX
Sebastien
Brussels
BE
24
25
Crowe
Mark
European Commission, DG
Research&Innovation
Urrbrae
AU
Czembor
Pawel
Blonie
PL
26
Davenport
Susie
Cambridge
GB
27
De Bruyne
Erik
Tienen
BE
28
29
30
de Groot
Corine
Plant Breeding and
Acclimatization Institute
Advanced Technologies
Cambridge Ltd
SESVANDERHAVE
N.V./S.A.
Bejo Zaden BV
Warmenhuizen
NL
de Haan
Anita
Dekker Chrysanten
Hensbroek
NL
De Lespinay
Alexis
Bayer BioScience NV
BE
31
32
de Milliano
Maarten
Monsanto
Astene
(Deinze)
Bergschenhoek
De Vries
Michiel
Joordens Zaden (RAGT)
Kessel
NL
53
FR
OR
US
NL
33
Deleu
Wim
Ramiro Arnedo S.A.
34
DEMILLY
Didier
GEVES SNES
35
36
Dessevre
Fabrice
Monsanto
Devaux
Pierre
Florimond Desprez
37
38
39
40
D'hoop
Björn
DORIDANT
Dornbusch
Las Norias de
Daza
BEAUCOUZE
Cedex
Peyrehorade
ES
FR
Rijk Zwaan
Cappelle en
Pévèle
De Lier
Ingrid
BIOGEMMA
CHAPPES
FR
Tino
University of Lausanne
Lausanne
CH
Dumas
Bernard
CNRS
FR
41
42
Entzian
Alexander
IPK - Gatersleben
CastanetTolosan
Gatersleben
Fayyaz
Mo
Madison
43
44
Feron
Richard
Botany Department,
University of WisconsinMadison
Nunhems Netherlands
Nunhem
NL
Fischer
Sandra
Söllingen
DE
45
46
47
Flachmann
Ralf
Strube Research GmbH &
Co. KG
BASF Plant Science
Limburgerhof
DE
Garcia
Pablo
Syngenta Seeds
Almeria
ES
Ghamkhar
Kioumars
Melbourne
AU
48
Goldbach
Heiner
Bonn
DE
49
50
Grift
Tony
Department of Primary
industries, Victoria
University of Bonn - INRES/
CROP.SENSe.net
University of Illinois
GU
Derek
Shanghai
CN
51
52
Guerreiro
laurent
Zealquest Scientific
Technology Co., Ltd.
arvalisinstitutduvegetal.fr
paris
FR
Hahn
Heike
HAN
David
Lutherstadt
Wittenberg
Shanghai
DE
53
CN
54
Hao
Dongyun
Changchun
CN
55
56
Hjortshøj
Rasmus L.
SKW Stickstoffwerke
Piesteritz GmbH
Zealquest Scientific
Technology Co., Ltd.
Jilin Academy of
Agricultural Sciences of
China
Sejet Plantbreeding I/S
Horsens
DK
Holtorf
Sönke
Rijswijk (ZH)
NL
57
58
59
60
Howarth
Catherine
European Patent Office
(EPO)
Aberystwyth University
SY23 3EB
GB
Huisman
Lars
Bird & Bird LLP
Den Haag
NL
Huits
Henk
Bejo Zaden B.V.
Warmenhuizen
NL
Imani
Jafargholi
Giessen
DE
61
JACINTO
FABIENNE
Justus-Liebig-Universitaet
Giessen
MONSANTO SAS
FR
62
63
64
JAILLAIS
Benoit
INRA
PEYREHORA
DE
NANTES
Jansseune
Karel
Bayer CropScience
Gent
BE
Jing
Hai-Chun
Beijing
CN
65
66
67
Jones
Don
Institute of Botany, Chinese
Academy of Sciences
Cotton Incorporated
Jonsson
Lisbeth
Stockholm University
Stockholm
SE
Julkowska
Magdalena
SILS/University of
Amsterdam
Amsterdam
NL
54
Urbana
Cary
FR
FR
NL
DE
WI
IL
US
US
FR
NC
US
68
69
70
Kapel
Mark
Evogene LTD
Rehovot
Keuken
Evert
Agri Information Partners
Wageningen
NL
Kirchgessne
r
Klooster
Norbert
ETH Zurich
Zurich
CH
Meindert
Enkhuizen
NL
72
73
74
Kloth
Karen
Enza Zaden Seed
Operations b.v.
Wageningen
NL
Klukas
Christian
IPK - Gatersleben
Gatersleben
DE
Krabel
Doris
Tharandt
DE
75
76
77
78
79
80
81
82
83
84
85
86
Lamote
Veerle
Technische Universität
Dresden
Floréac NV
Lochristi
BE
Lankes
Christa
University of Bonn
Bonn
DE
Leipner
Jörg
Syngenta
Stein (AG)
CH
Lensink
Johan Dirk
Enza Zaden R&D BV
Enkhuizen
NL
Leyns
Frederik
CropDesign N.V.
Gent
BE
Lightner
Jonathan
Pioneer Hi-Bred Intl
IA
Lind
Rob
Syngenta
Berkshire
GB
Lindenbergh
Pieter-Jelte
HZPC Holland B.V.
Metslawier
NL
Linders
Rico
Syngenta
Enkhuizen
NL
Loewen
Mark
Conviron
Winnipeg
CA
Lootens
Peter
ILVO
MELLE
Lorenz
Aaron
Lincoln
87
Mahlein
Anne-Katrin
88
Malone
Michael
University of NebraskaLincoln
University Bonn, INRESPhytomedicine
Monsanto Company
89
90
91
92
93
94
95
Marell
Matthijs
Bird & Bird LLP
Research
Triangle Park
Den Haag
Matthies
Inge
Genetwister B.V.
Wageningen
NL
MAUDOUX
BENOIT
SESVANDERHAVE NV/SA
TIENEN
BE
McCaskill
Amy
Bayer CropScience
Durham
Meinecke
Helli
Urrbrae
AU
Millenaar
Frank
Monsanto
Bergschenhoek
NL
Morais de
Sousa
Moses
Sylvia
Sete Lagoas
BR
Muraya
EMBRAPA Maize and
Sorghum
IPK Gatersleben
Gatersleben
DE
Mücke
Ingo
IPK Gatersleben
Gatersleben
DE
Nacry
Philippe
INRA
Montpellier
FR
Nedbalova
Ivana
Brno
CZ
100
101
Neumann
Kerstin
PSI (Photon Systems
Instruments)
IPK Gatersleben
Gatersleben
DE
Nicol
Andreas
Leverkusen
DE
102
103
Nina
Mafalda
Bayer Technology Services
GmbH
Syngenta Crop Protection
Stein
CH
Oerke
INRES - Phytomedicine
Bonn
DE
104
105
106
107
Ottosen
ErichChristian
Carl-Otto
Dept. of Horticulture
Årslev
DK
Palme
Klaus
University of Freiburg
Freiburg
DE
Pollet
Bruno
CropDesign N.V.
Gent
BE
Pompe
Novak
Marusa
National Institute of Biology
Ljubljana
SI
71
96
97
98
99
55
IL
IA
US
BE
NE
Bonn
US
DE
NC
US
NL
NC
US
108
Post
Joanna
109
Quedas
110
111
112
Bonn
DE
Santarém
PT
Ramsey
Maria de
Fatima
Ryan
CROP.SENSe.net,
University of Bonn
Instituto Politécnico de
Santarém
Syngenta Seeds
Bracknell
GB
Redestig
Nils Henning
Bayer BioScience NV
Zwijnaarde
BE
Reichenbec
her
Remans
Wolfram
Bonn
DE
Tony
Federal Agency for Nature
Conservation
Hasselt University
Diepenbeek
BE
reyns
piet
Limagrain Nederland BV
RB Rilland
NL
Riley
Ray
Syngenta
116
Rist
Marc
117
118
119
Rosenqvist
Eva
University of Hohenheim Department of Plant
Physiology and
Biotechnology
Copenhagen University
Minnetonka,
MN
Langenfeld
SALON
Christophe
SanchezTamburrino
Sarkar
Juan Pablo
Sarria
113
114
115
MN
US
DE
Taastrup
DK
INRA
Dijon
FR
Cambridge
GB
Mridul
Cambridge Ltd
none
Rodrigo
Dow AgroSciences
West Lafayette
Schaffrath
Ulrich
Aachen
DE
Scheldeman
Xavier
Department of Plant
Physiology, RWTH Aachen
University
CropDesign N.V.
Gent
BE
Schellart
Wijnand
Bejo Zaden
Warmnehuizen
NL
Schepers
Hans
Monsanto BV
Wageningen
NL
SERGEANT
Kjell
CRP - Gabriel Lippmann
BELVAUX
LU
Sørensen
Anker
Keygene N.V.
Wageningen
NL
Spoelstra
Patrick
INCOTEC Holding B.V.
Enkhuizen
NL
SteinerStenzel
Sumalan
Ulrike
INRES - Phytomedicine
Bonn
DE
Radu
Timisoara
RO
131
132
133
134
135
136
137
138
Tetteroo
Frans
Banat s University of
Agricultural Sciences and
Veterinary Medicine
INCOTEC Holding B.V.
Enkhuizen
NL
Theroux
Marc
BioChambers
Winnipeg
CA
Thielert
Wolfgang
Bayer CropScience
Monheim
DE
To
Jennifer
GrassRoots Biotechnology
Durham
Tokatlidis
Ioannis
Democritus Universtity
Orestiada
GR
torres
cindy
Vilmorin
La Ménitré
FR
Tuberosa
Roberto
University of bologna
Bologna
IT
Tucci
Marina
Portici
IT
139
Tully
Laurel
Cambridge
GB
140
van
Beuningen
Van De
Velde
van de
Zedde
Leon
CNR - Institute of Plant
Genetics
(Cambridge) Ltd.
Limagrain Nederland BV
RILLAND
NL
Karel
Bayer BioScience NV
Gent
BE
Rick
Wageningen UR - Food &
Biobased Research
Wageningen
NL
120
121
122
123
124
125
126
127
128
129
130
141
142
56
Navi Mumbai
IN
IN
NC
US
US
143
van den
Wijngaard
van der
Heijden
Van Deuren
Paul
Syngenta Seeds
Enkhuizen
NL
Gerie
Wageningen UR
Wageningen
NL
Joris
Bayer BioScience NV
BE
146
147
148
van Eeuwijk
Fred
WUR Biometris
Astene
(Deinze)
Wageningen
van Eijk
Leo
Syngenta
Enkhuizen
NL
van Kooten
Olaf
Haarlem
NL
149
150
van Liere
Herco
Hogeschool Inholland /
Keygene N.V.
Wageningen
NL
van Loon
Peter
De Lier
NL
151
152
153
van Schriek
Marco
Rijk Zwaan Zaadteelt en
Zaadhandel B.V.
Keygene N.V.
Wageningen
NL
van Tunen
Arjen
Keygene NV
Wageningen
NL
Vandenbrou
cke
Vandenhirtz
Korneel
Bayer CropScience
Gent
BE
Dirk
LemnaTec
Wuerselen
DE
Vandenhirtz
Joerg
LemnaTec
Wuerselen
DE
Bandi
Central Research Institute
for Dryland Agriculture
KWS-Lochow
Hyderabad
IN
157
Venkateswa
rlu
Verstegen
DE
158
Voisin
CNRS LIPM
159
160
Wagner
Derry
Frederique
Ruth
Wohlde
(Bergen)
Castanet
Tolosan
Bergschenhoek
Walia
Harkamal
68583
NE
US
161
162
163
164
Wernicki
Alice
University of Nebraska,
USA
Dow AgroSciences
Indianapolis
IN
US
Wijkamp
Ineke
TTI Groene Genetica
Gouda
NL
Wittendorp
Jon
Keygene N.V.
Wageningen
NL
Wolter
Frank Peter
Bonn
DE
165
166
Wunsche
Renate
Ges. für Erwerb u.
Verwertung von
Schutzrechten - GVS mbH
Syngenta Seeds BV
Enkhuizen
NL
Young
Naomi
King's Lynn
GB
167
168
Zaccomer
Bruno
Germains Seed
Technology
Monsanto
Zayed
Adel
Monsanto Company
RTP
144
145
154
155
156
Harold
Monsanto
57
NL
FR
NL
Peyrehorade
FR
NC
US

12. – 14. October 2011

Transcription

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