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Relevancy: 100%
Automatic detection and genetic analysis of quantitatively inherited characteristics of drought tolerance in barley (Project)
In the barley project GS1 a genetically well characterised barley collection will be investigated in high-throughput conditions for phenotypic diversity. Using the automatic generation of images in visible light, fluorescence (400-500 nm) and in near infrared via LemnaTec-Scanalyzer-3D-Platform a drought stress test is developed and used for characterisation of a spring barley collection. Based...
Funding period: 2010 - 2014
Relevancy: 100%
Sensor data - Characteristics - Marker association of the genetic Co/localization of plant stress responses (Project)
Marker-Trait-Association under drought stress The project focuses on the detection of QTLs in a spring barley MAGIC population. Besides phenotyping yield components traits we focus on non invasive determination of the water content in leaves with the THz-Sensor. The experiment is set up in two different water environments, under well watered and terminal drought conditions. We are using...
Funding period: 2009 - 2014
Relevancy: 100%
Sensor Validation for biotic and abiotic stress in barley breeding (Project)
Validation of sensors at breeding stations is of crucial importance for increasing the chances of the industrial success of the consortium. The main question to be answered is to what extent the obtained scientific results can be transferred to practical breeding conditions. For that, it is important to define and meet the requirements of future users. The involvement of the corresponding...
Funding period: 2009 - 2014
Relevancy: 100%
Differentiation and quantification of leaf diseases on the basis of their spectral signature (Project)
Precise, reproducible and objective estimates of plant diseases are important in plant breeding for the selection of disease resistant genotypes or in fungicide screening. Disease assessments by a human eye are time consuming and associated with day and rater depending estimate errors. An objective and automatic detection of leaf diseases on barley with different optical sensors has the potential...
Funding period: 2009 - 2014
Relevancy: 100%
Drought Stress Tolerance in Barley (Project)
Linking investigations of root and shoot growth under lab conditions enables a highly efficient selection of promising plant lines eligible for further breeding approaches. As the genetic resolution of associations concerning trait markers will not only be determined by genetic markers (genotyping) but also by the detection of physical traits (phenotyping) in future, it is very important to...
Funding period: 2009 - 2014
Relevancy: 100%
Sensor validation under realistic conditions (Project)
The aim of GS6 is to validate the new sensors under field conditions for single plants and populations. The project should give answers to how to apply the sensors for crop management as well as recommendations for the practical field use of sensors.
Funding period: 2009 - 2014
Relevancy: 100%
RADAR-sensor system for determination of sugar beet root growth in pot experiments (Project)
For analysis of special parameters in plant breeding sensor-systems can be a very effective tool due to the fact that labor can be reduced significantly and information on the plants is delivered in a qualitative and quantitative way. While plenty of systems are available for above-soil plant parts, there are only a few systems (CT, MRT) available for in-soil plant parts which are generally...
Funding period: 2009 - 2014
Relevancy: 100%
Application of non-destructive sensors to the genetic characterisation of the storage root formation in sugar beet (Project)
The goal of this project is to apply a non destructive sensing technology to phenotype a segregating sugar beet population for the genetic characterization of root formation. The objectives are (i) to develop a sugar beet population segregating for root size, (ii) conduct repeated root measurements in a greenhouse experiment and (iii) perform genetic mapping of genes underlying root formation.
Funding period: 2011 - 2014
Relevancy: 100%
3D tomography of sugar beet in natural soil with co-registered MRI/PET (Project)
Biotic and abiotic stresses may damage plant parts above- and belowground and thereby reduce the sugar beet yield. Since the parts of the sugar beet plants that are relevant for yield are located belowground their current status cannot be assessed by the naked eye. Noninvasive imaging techniques for monitoring the beet during the whole vegetation period may therefore produce important data about...
Funding period: 2010 - 2014
Relevancy: 100%
Phenotyping of the infestation dynamics of leaf pathogens with non-invasive sensors (Project)
keine Angaben
Funding period: 2010 - 2014
