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Homepage Professur Pflanzenzüchtung
Professur Pflanzenzüchtung

 

INRES

Institut für Nutzpflanzenwissenschaften und
Ressourcenschutz     

 

Dekanat

 Landwirtschaftliche Fakultät

 
Two
Kontakt

Anschrift
    INRES Pflanzenzüchtung
    Universität Bonn
    Katzenburgweg 5
    D-53115 Bonn

Telefon
    ++49-(0)228-73-2878

Fax
    ++49-(0)228-73-2045

E-Mail
    plantbreeding@uni-bonn.de

 
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Forschung Pflanzenzüchtung Bonn

 

In der Forschung arbeiten wir mit Hilfe quantitativ-genetischer, quantitativ-statistischer, molekular-genetischer und ertrags- und pflanzenphysiologischer Methoden sowie neuer moderner Sensortechniken am Zuchtfortschritt der Kulturpflanzenarten Gerste, Weizen und Raps.


Projekte

Breeding value estimation / Genomic selection

E1. Bayesian approach for the estimation of genetic parameters in both natural and breeding populations

E2. A new Bayesian Adaptive Markov Chain Monte Carlo approach for the multi-trait analyses of breeding values

E3. Development of stable and efficient regularization methods for ill-defined genomic breeding value estimation problems in plant breeding accounting genotype by environment interaction

E5. Empirical verification of the theoretical work to estimate the breeding value of self-pollinating crops (winter barley)

 

Biodiversity / Genetic crop diversity / Characterization / Utilization

D3.

Association mapping of b-D-glucan and thousand-seed-weight in a wild barley population using DArT and SSR markers

 

D5. Constructing a DArT-marker-map and QTL-analysis of physiological traits in apple hybrids

 

Phenotyping / Complex plant traits / Non-destructive screening techniques

 

P1.

Non destructive growth analysis of spring barley using hyperspectral imaging (drought tolerance)

 

P6. Sensor development for determining plant water status

P7. CropWatch - Informationssystem zur Kontrolle und Analyse des Pflanzenproduktionsprozesses

 

Identifying the genetical background of complex plant traits / QTLs / Candidate genes

G2. Deep-phenotypic and genetic association analysis for breeding relevant traits in rapeseed under drought stress (drought tolerance)


G3
. Identification of genetic and phenotypic characteristics of the root system of drought tolerant barley (drought tolerance)

G4. Genetic analysis of proline accumulation in barley (drought tolerance)

G5. Molecular analysis of root mediated drought stress tolerance in barley (drought tolerance)

G6. Utilization of an advanced-backcross-population for identifying genom regions linked to traits conferring salinity tolerance of winter wheat in central asia (salt tolerance)

G7. Utilization of an ssociation-mapping-population for identifying genom regions linked to traits conferring salinity tolerance of winter wheat in central asia (salt tolerance)

G8. Genetic mapping of root-mediated drought tolerance in barley

G9. Identification of closely linked markers for brown and yellow rust restistence genes and determination of the variation of the virulence of brown and yellow rust populations in field

G10. Initiative: Breeding innovations in Wheat for resilient cropping systems (BRIWECS) - Coordinated project: Innovative plant breeding within the cultivation system (IPAS) - Part Genotype by crop management interactions

G11. Genetic and molecular analysis of epistatic effects of the flowering time in a "multi-parent- advanced generation intercross" (MAGIC) - population in Barley

G12. Water use efficiency and drought stress mechanisms - From Arabidopsis to Barley - DFG Research Training Group 2064 - Part 5 Allele mining and functional characterization of genes regulating proline metabolism under drought stress in Barley

 

 

Project E1

Title
Bayesian approach for the estimation of genetic parameters in both natural and breeding populations
Description
The breeding value estimates the superiority or inferiority of the genes that an individual possesses for each measured trait. REML (Restricted Maximum Likelihood) and Bayesian Gibbs sampling are the most important methods used for the calculation of breeding values. The advantage of Bayesian method over REML is the ability to incorporate prior information, and hence the accuracy of the prediction increases. The objective of this project is to develop a Bayesian Gibbs sampling method to predict breeding values for a whole breeding population generated by computer simulation.
Project team
Mathew, Boby, Dr. (Fon ++49-(0)228-73-2031, Mail boby.mathew at hotmail.com)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
Prof. Dr. M. J. Sillanpää,  Department of Mathematical Sciences and Department of Biology, University of Oulu, Finland
Dr. Petri Koistinen Department of Mathematics and Statistics, University of Helsinki, Finland
Duration
2012-2015
Funding
University of Bonn
Literature
Mathew, B., Bauer, AM., Koistinen, P., Reetz, TC., Léon, J., Sillanpää, MJ., 2012. Bayesian Adaptive Markov Chain Monte Carlo Estimation of Genetic Parameters. Heredity 109, 235-245.

Project E2

Title
A new Bayesian Adaptive Markov Chain Monte Carlo approach for the multi-trait analyses of breeding values
Description
Multi-trait analyses can take into account the correlation structure among all traits and that increases the accuracy of evaluation. However, this gain in accuracy is depending on the absolute difference between the genetic and residual correlation between the traits. Many studies compared single-trait and multi-trait analyses of breeding values and they showed that multiple trait predictors resulted in a lower average bias than the single-trait analysis. Estimation of genetic and residual covariance matrices are the main challenging problem in multiple trait analysis in mixed model framework. The objective of this project is to develop an adaptive MCMC approach for the estimation of genetic parameters in multiple-trait analysis in a mixed model framework.
Project team
Mathew, Boby, Dr. (Fon ++49-(0)228-73-2031, Mail boby.mathew at hotmail.com)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
Prof. Dr. M. J. Sillanpää,  Department of Mathematical Sciences and Department of Biology, University of Oulu, Finland
Dr. Petri Koistinen Department of Mathematics and Statistics, University of Helsinki, Finland
Duration
2012-2015
Funding
University of Bonn
Literature
Mathew, B., Bauer, AM., Koistinen, P., Reetz, TC., Léon, J., Sillanpää, MJ., 2012. Bayesian Adaptive Markov Chain Monte Carlo Estimation of Genetic Parameters. Heredity 109, 235-245.

Project E3

Title
Development of stable and efficient regularization methods for ill-defined genomic breeding value estimation problems in plant breeding accounting genotype by environment interaction
Description
There have been remarkable advances in attempting to tackle the ill-posed problems of genotype-to-phenotype association using hierarchical Bayesian modelling, for QTL and association mapping. However, most of the proposed methods are based on Markov Chain Monte Carlo simulation methods, which may perform poorly with genome-wide dense marker data as adjacent markers are typically highly correlated. The aim of the project is to develop a Bayesian method for genomic breeding value estimation along with iterative methods for estimating the maximum a posteriori of the genetic effects using block-updating accounting the genotype by environment interaction.
Partners
Prof. Dr. M. J. Sillanpää,  Department of Mathematical Sciences and Department of Biology, University of Oulu, Finland
Dr. Petri Koistinen Department of Mathematics and Statistics, University of Helsinki, Finland
Project team
Mathew, Boby, Dr. (Fon ++49-(0)228-73-2031, Mail boby.mathew at hotmail.com)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Duration
2012-2015
Funding
University of Bonn

Project E5

Title
Empirical verification of the theoretical work to estimate the breeding value of self-pollinating crops (winter barley)
Description
Because of the growing earth’s population, it is necessary to increase crop yields. One way to reach this is to improve the breeding success by using computer simulation programs. With the BLUP method (Best Linear Unbiased Prediction) breeding values have been predicted for a long time in animal breeding. Now this method should be used to integrate genomic and phenotypic information of winter barley as well as the different environmental conditions of the different field trials into one data set. Considering the relationship among the lines subpopulation structures in the main population should be determined after combining the data. The objective of this study is to predict the breeding value of different winter barley lines and to verify these values using field experiments for a double-blind study at different plant breeders.
Project team
Klaus, Marius (Fon ++49-(0)228-73-2051, Mail m.klaus at uni-bonn.de)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
Private Plant Breeding Companies
Duration
2012 - 2015
Funding
Federal Ministry of Economics and Technology, Germany

Project D3

Title
Association mapping of b-D-glucan and thousand-seed-weight in a wild barley population using DArT and SSR markers
Description
The project focuses on a wild barley population with the two quantitative traits b-D-glucan and thousand-seed-weight. These quantitative traits are generally the product of many loci with varying degrees of effect upon the observed phenotype. Association mapping takes the high amount of loci to evaluate for QTL effect. There are two marker systems in this project. The first system is DArT (Diversity Array Technology), the dominant marker system, which distributes all over the genome. While, SSR markers, the co-dominant marker system, present the informative result from all wild accessions. Moreover, the epistatic effects were investigated for studying the interaction between each pair of genes. The maps were constructed from both of the association and epistatic information.
Project team
Arayaskul, Nada (Fon ++49-(0)228-73-3119, Mail n.arayaskul at uni-bonn.de)
Müller, Karola
Reinders, Anne
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Duration
2010 – 2012
Funding
Scholarship of Thai University

Project D5

Title
Constructing a DArT-marker map and performing a QTL-analysis of physiological traits in apple hybrids
Description
The objective of this study is to investigate the physiological responses of apple hybrids to biotic and abiotic stresses and to identify the genomic regions associated with. That should enable to estimate the best combination of promising physiological characteristics such as disease resistance pyramids, flowering willingness, self-fruit-thinning, high pomologic quality and specific interior fruit quality. For that, a F1-population, resulting from a selected cross of the cultivars Dalinco (the father, known for its self-thinning and apple scab resistance) and Rafzubin (the mother, known for its high fruit quality), was established in order to construct a DArT-marker map and to perform a QTL analysis using DarT- and SSR-markers.
Project team
Mohamed, Ranya Raafat (Fon ++49-(0)228-73-3119, Mail ranyanasser at yahoo.com)
Woitol, Karin
Müller, Karola
Reinders, Anne
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
Prof. Dr. G. Noga, INRES Horticultural Science, University of Bonn, Germany
Dr. C. Lankes, INRES Horticultural Sciences, University of Bonn, Germany
Dr. F. Dunemann, Institute for Breeding research on horticultural and fruit crops, Julius-Kühn-Institute JKI, Quedlinburg, Germany
Dr. A. Beil, Institute for Breeding research on horticultural and fruit crops, Julius-Kühn-Institute JKI, Dresden-Pillnitz, Germany
Duration
2009-2013
Funding
Scholarship University of Bonn

Project P1

Title
Non destructive growth analysis of spring barley using hyperspectral imaging
Description
In the context of the competence network “CROP.SENSe.net – Complex sensor systems for crop science research, plant breeding and crop management” spatial and temporal highly resolving measuring techniques are developed, which should be able to characterize single plants in pots, crop stands in field and their soils under high-throughput conditions non-destructively. Overall goal is the replacement of the up to now used time and cost intensive, the plant material destroying analysing procedures for growth, yield and quality formation, morphological structures, physiological states of single plants, crop stands and soil characteristics. With these new methods for characterizing and quantifying the plant´s behaviour in its environment (“phenotyping”) a better understanding of plant growth and development is aimed. Specific goal for plant breeding and its more and more important becoming marker assisted selction praxis is to open the possibility to screen or phenotype huge numbers of genotypes and in combination with the huge amount of genomic data from the genomic revolution to get a better understanding of the underlying genetics so that plant breeding becomes more effective and precise. This also counts for crop management. Better and more specific information about the crop stands in the fields during the vegetation process broadens and enhances the basis for decision making in crop management resp. precision farming, which leads to a more saving and effective use of fertilizers and crop protection products and to more stable yields at higher product quality.
In this study the method of hyperspectral imaging (400–900nm VISNIR) is adapted to microstands of barley in pot trials and evaluated. Spectral reflection of the barley leaves is recorded using a hyperspectral camera taking 40 x 40 cm photos from above with 640 x 640 pixels and 120 reflection values each. Using multivariate statistical data analysing procedures from these spectral data important growth parameters like biomass, water content, leaf area and drought stress indicating parameters like water content are to be determined non-destructively. The calibration is performed using traditional reference plant analysing methods from several experiments with genotypes, environments, irrigation amounts, drought stress scenarios and the time course as impact factors. Specific goal is a measurement system that enables the determination of important growth parameters (“phenotyping”) of a big number of genotypes during the vegetation period indirectly by hyperspectral imaging.
Project team
Herker, Melanie (Fon ++49-(0)228-73-2852, Mail m.herker at uni-bonn.de)
Reinders, Anne
Schumann, Henrik, Dr. (Fon ++49-(0)228-73-3185, Mail h.schumann at uni-bonn.de)
Partners
Rascher, Uwe, Dr., FZ Jülich, IBG2 Plant Sciences and Ecosystem Dynamics, Helmholtz Society
Duration
2010-2013
Funding
Federal Ministry of Education and Research BMBF, Competence network „CROP.SENSe.net“, Subproject GA2
Webpage
www.cropsense.uni-bonn.de

 


Project P6

Title
Sensor development for determining plant water status
Description
In the context of the research on abiotic stresses and their impacts on crops or on the phenotyping of big numbers of genotypes in plant breeding the detailed, spatial differentiated and highly time-resolved measuring of the environmental parameters in the direct shoot and root space becomes more and more important.
Goal of this current study in the collaboration is the development of a sensor for determining the plant water status non-invasively at the living plant.
Project team
Schumann, Henrik, Dr. (Fon ++49-(0)228-73-3185, Mail h.schumann at uni-bonn.de)
Sun, Yurui, Prof., Research Center for Precision Farming - China Agricultural University Beijing
Wenyi, Sheng
Schulze Lammers, Peter, Prof. Dr., Institute of Agriculture Engineering, University of Bonn
Partners
see above
Duration
2007-2017
Funding
Sino-German Center of NSFC-DFG (GZ494), National Nature Science Foundation of China and International Cooperation Fund of Ministry of Science and Technology, China (2007DFA91050).
Literature
Sheng, W., Sun, Y., Schulze Lammers, P., Schumann, H., Berg, A., Shi, C., Wang, C., 2011. Observing soil water dynamics under two field conditions by a novel sensor system. Journal of Hydrology 409, 555-560.
Sun, Y., Li, L., Schulze Lammers, P., Zeng, Q., Lin, J., Schumann, H., 2009. A solar-powered wireless cell for dynamically monitoring soil water content. Computers and Electronics in Agriculture 69, 19-23.


Project G2

Title
Deep-phenotypic and genetic association analysis for breeding relevant traits in rapeseed (Brassica napus) under drought stress
within coordinated project
PreBreedYield
Description
Rapeseed (Brassica napus) is one of the most recently domesticated major crop species and, due to intensive breeding, has become the most important oilseed crop in Europe.
The project is affiliated to the collaborative project PreBreedYield. The goal of this project is to develop and implement a diverse set of plant materials selected specifically with regard to the project aims, as well as genotyping technologies and precise phenotyping strategies that will be used to enhance rapeseed pre-breeding, subsequent breeding and development of new elite commercial varieties. To create new and well described genetic variation, adapted and exotic rapeseed accessions will be integrated in the project.
Topics to be worked on are deep phenotyping using non-invasive sensor technologies like subtera-Hertz, tera-Hertz and hyperspectral analysis, structural analysis of candidate genes for drought tolerance based on “deep sequencing” data, QTL-identification using forward-selection-strategy with mixed models and development of specific DNA-markers to be used in marker assisted breeding programs.
Project team
Kox, Tobias (Fon ++49-(0)228-73-2051, Mail tobikox at uni-bonn.de)
Hermling, Iris
Reinders, Anne
Ballvora, Agim, Dr. (Fon ++49-(0)228-73-7400, Mail ballvora at uni-bonn.de)
Partners
Overall 15 Universities, research institutes and breeding companies from Germany are involved in the collaborative project PreBreedYield
Duration
2011 – 2014
Funding
Federal Ministry of Education and Research BMBF, Germany

Project G3

Title
Identification of genetic and phenotypic characteristics of the root system of drought tolerant spring barley (Hordeum vulgare)
Description
Goal of the project ist the identification of genes responsible for the root development and the quantification of their effects. Additionally, the genetic response of roots under reduced moisture in the substrate will be analyzed and parameterized for modeling. Association mapping approach will be performed for identification of QTLs or QTL x treatment interactions. For that a population of 192 genotypes will be used, which is genotyped with different kind of molecular markers like DarT and SSR and will be genotyped for SNPs using GKI Select Chip. The association mapping of root-traits based on more than 5000 mapped markers will be performed with the help of Mixed-Model approach to evaluate the marker-trait associations.
In a reduced genotype-set (constituted of drought susceptible and resilient individuals) the natural variability of candidate genes for root development will be analyzed. Furthermore, metabolomics profiling will be used to identify specific signatures for drought stress.
Project team
Federau, Janina (Fon ++49-(0)228-73-3119, Mail jafe at uni-bonn.de)
Ballvora, Agim, Dr. (Fon ++49-(0)228-73-7400, Mail ballvora at uni-bonn.de)
Partners
Institut für Resistenzforschung und Stresstoleranz, Julius Kühn-Institut (JKI)
Institut für Biologische Produktionssysteme, Leibniz-University of Hannover
Duration
2013 - 2018
Funding
German Research Foundation DFg

Project G4

Title
Genetic analysis of proline accumulation in Barley
within coordinated project
Genetic and molecular analysis of drought stress tolerance in barley (Hordeum vulgare L.)
Description
Plants have evolved a number of adaptations to cope with water limiting conditions since they established terrestrial life. The major focus of our research is to investigate molecular mechanisms modulating such adaptations by utilizing forward and reverse genetics approaches in barley. In forward approach, we utilize QTL analysis strategy for the identification of associated gene loci. Subsequently, these loci are explored via positional cloning technique for the isolation of genes linked to a trait of interest. Primarily, we are interested in root mediated drought stress tolerance being one the major evolutionary traits that enables plants to live on land and appears as the most relevant with breeding sustainability. In addition, we investigate physiological traits like proline accumulation and related shoot traits in order to determine the impact of root on plant performance under drought stress conditions. In reverse approach, we are utilizing knowledge created in model plants Arabidopsis and rice to dissect the mechanism of root development in barley. For this, we are amplifying orthologous genes. TILLING (Targeting Induced Local Lesions in Genomes) and transgenic approaches will be utilized to characterize the function of candidate genes in the process of root development.
Several mechanisms have been described that can lead to improvements in drought tolerance. Proline is a dominant organic molecule that accumulates in many organisms following exposure to environmental stresses, for example drought and salinity. The genetic mechanism of proline metabolism has been described in model species like Arabidopsis and Rice. According to this, in plants, proline is synthesized mainly from glutamate, which is reduced to glutamate-semialdehyde (GSA) by the pyrroline- 5-carboxylate synthetase (P5CS) enzyme, and spontaneously converted to pyrroline-5-carboxylate (P5C) P5C reductase (P5CR) further reduces the P5C intermediate to proline.
In Arabidopsis and rice, P5CS is encoded by P5CS1 and P5CS2, which show different temporal and spatial expression patterns. In most organs, P5CS1 is transcribed at much higher levels. The latter gene (AtP5CS2) is preferentially expressed in dividing tissues when they are stimulated by ABA or salt stress. In Arabidopsis and Rice, P5CS1 gene is inducible by salt, dehydration, cold and ABA whereas P5CS2 is also inducible by dehydration and NaCl.
In this project we are aiming to characterize the genetic mechanism of proline accumulation in barley. For this we have isolated P5CS1 and P5CS2 homologous in barley leaf and root under drought and salt conditions.
The objective of this study is to know the expression of these two genes in Barley and to determine its role in plant tolerance toward drought and salt stresses. For this purpose their expressional analysis will be find out. Afterward their intron,exon border will be identified. We are also aiming to obtain a functional mutation in barley for proline through TILLING and determine its role in barley plant tolerance toward drought and salt stresses.
Project team
Muzammil, Shumaila (Fon ++49-(0)228-73-2875, Mail shumailamuzammil at yahoo.com)
Arifuzzaman, Md
Müller, Karola
Woitol, Karin
Ruland, Martina
Naz, Ali, Dr. (Fon ++49-(0)228-73-2752, Mail a.naz at uni-bonn.de)
Partners
Prof. Dr. Klaus Pillen, Chair of Plant Breeding, Institute of Agriculture and Nutrition science, Martin-Luther-University Halle-Wittenberg, Germany.
Dr. Nils Stein, Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research Gatersleben, Germany
Dr. Jochen Kumlehn, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Physiology and Cell Biology; Germany.
Prof. Dr. Ulrich Schurr, Institute for Phytosphere, Research Center Jülich, Germany.
Duration
2012 - 2015
Funding
Higher Education Commission (HEC) Pakistan
Literature
Sayed, AS., Schumann, H., Pillen K., Naz AA., Léon, J., 2012. AB-QTL analysis reveals new alleles associated to proline accumulation and leaf wilting under drought stress conditions in barley (Hordeum vulgare L.). BMC Genetics, accepted.
Naz, AA., Ehl, A., Pillen, K., Léon, J., 2012. Validation for root-related quantitative trait locus effects of wild origin in the cultivated background of barley (Hordeum vulgare L.). Plant Breeding 131, 392-398.
Naz, AA., Kunert, A., Kerstin, F., Pillen, K., Léon, J., 2012. Advanced backcross quantitative trait locus analysis in winter wheat: Dissection of stripe rust seedling resistance and identification of favorable exotic alleles originated from a primary hexaploid wheat (Triticum turgidum ssp. dicoccoides x Aegilops tauschii). Molecular Breeding, DOI 10.1007/s11032-012-9710-2.
Naz, AA., Kunert, A., Volker, L., Pillen, K., Léon, J., 2008. AB-QTL analysis in winter wheat: II. Genetic analysis of seedling and field resistance against leaf rust in a wheat advanced backcross population. Theoretical and Applied Genetics 116, 1095-1104.
Kunert, A., Naz, AA., Dedeck, O., Pillen, K., Léon, J., 2007. AB-QTL analysis in winter wheat: I. Detection of favourable exotic alleles for baking quality traits introgressed from synthetic hexaploid wheat (Triticum turgidum ssp. dicoccoides × T. tauschii). Theoretical and Applied Genetics 115, 683-695.
Naz, AA., 2007. Comparative mapping of genes for plant disease resistance in wheat advanced backcross population by means of DNA markers. Shaker Verlag Aachen. ISBN 978-3-8322-6183-2.

Project G5

Title
Molecular analysis of root mediated drought stress tolerance in barley
within coordinated project
Genetic and molecular analysis of drought stress tolerance in barley (Hordeum vulgare L.)
Description
Plants have evolved a number of adaptations to cope with water limiting conditions since they established terrestrial life. The major focus of our research is to investigate molecular mechanisms modulating such adaptations by utilizing forward and reverse genetics approaches in barley. In forward approach, we utilize QTL analysis strategy for the identification of associated gene loci. Subsequently, these loci are explored via positional cloning technique for the isolation of genes linked to a trait of interest. Primarily, we are interested in root mediated drought stress tolerance being one the major evolutionary traits that enables plants to live on land and appears as the most relevant with breeding sustainability. In addition, we investigate physiological traits like proline accumulation and related shoot traits in order to determine the impact of root on plant performance under drought stress conditions. In reverse approach, we are utilizing knowledge created in model plants Arabidopsis and rice to dissect the mechanism of root development in barley. For this, we are amplifying orthologous genes. TILLING (Targeting Induced Local Lesions in Genomes) and transgenic approaches will be utilized to characterize the function of candidate genes in the process of root development.
This study focuses on mapping of root and drought associated traits in a set of barley introgression lines and on positional cloning of underlying genes. In parallel, the root related MYB transcription factors (TFs) will be isolated in barley by using the sequence information of barley ESTs and related species. Later on, expression analysis of selected MYB-TF will be performed via qRT-PCR analysis under drought and controlled conditions. Afterwards, full length genetic and overexpression constructs will be established for the functional characterization of selected genes in the process of root patterning under drought stress conditions.
Project team
Arifuzzaman, Md (Fon ++49-(0)228-73-2049, Mail arifuzzaman at uni-bonn.de)
Muzammil, Shumaila
Müller, Karola
Woitol, Karin
Ruland, Martina
Naz, Ali, Dr. (Fon ++49-(0)228-73-2752, Mail a.naz at uni-bonn.de)
Partners
Prof. Dr. Klaus Pillen, Chair of Plant Breeding, Institute of Agriculture and Nutrition science, Martin-Luther-University Halle-Wittenberg, Germany.
Dr. Nils Stein, Department of Genebank, Leibniz Institute of Plant Genetics and Crop Plant Research Gatersleben, Germany
Dr. Jochen Kumlehn, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Department of Physiology and Cell Biology; Germany.
Prof. Dr. Ulrich Schurr, Institute for Phytosphere, Research Center Jülich, Germany.
Duration
2012 - 2015
Funding
German Academic Exchange Service DAAD
Literature
Sayed, AS., Schumann, H., Pillen K., Naz AA., Léon, J., 2012. AB-QTL analysis reveals new alleles associated to proline accumulation and leaf wilting under drought stress conditions in barley (Hordeum vulgare L.). BMC Genetics, accepted.
Naz, AA., Ehl, A., Pillen, K., Léon, J., 2012. Validation for root-related quantitative trait locus effects of wild origin in the cultivated background of barley (Hordeum vulgare L.). Plant Breeding 131, 392-398.
Naz, AA., Kunert, A., Kerstin, F., Pillen, K., Léon, J., 2012. Advanced backcross quantitative trait locus analysis in winter wheat: Dissection of stripe rust seedling resistance and identification of favorable exotic alleles originated from a primary hexaploid wheat (Triticum turgidum ssp. dicoccoides x Aegilops tauschii). Molecular Breeding, DOI 10.1007/s11032-012-9710-2.
Naz, AA., Kunert, A., Volker, L., Pillen, K., Léon, J., 2008. AB-QTL analysis in winter wheat: II. Genetic analysis of seedling and field resistance against leaf rust in a wheat advanced backcross population. Theoretical and Applied Genetics 116, 1095-1104.
Kunert, A., Naz, AA., Dedeck, O., Pillen, K., Léon, J., 2007. AB-QTL analysis in winter wheat: I. Detection of favourable exotic alleles for baking quality traits introgressed from synthetic hexaploid wheat (Triticum turgidum ssp. dicoccoides × T. tauschii). Theoretical and Applied Genetics 115, 683-695.
Naz, AA., 2007. Comparative mapping of genes for plant disease resistance in wheat advanced backcross population by means of DNA markers. Shaker Verlag Aachen. ISBN 978-3-8322-6183-2.

Project G6

Title
Utilization of an advanced-backcross-population for identifying genom regions linked to traits conferring salinity tolerance of winter wheat in central asia (salt tolerance)
within coordinated project
Utilization of wild relatives of wheat for developing salinity tolerant winter wheat with improved quality for Central Asia
Description
Salinity as a major abiotic stress affecting crop plants worldwide is particularly a problem in the Central Asia where irrigation-based farming systems predominate. Estimated yield losses are 30% in Uzbekistan, 40% in Turkmenistan, 30% in Kazakhstan, 18% in Tajikistan and 20% in Kyrgyzstan (Christmann et al., 2009). Consequences are deficient food grain availability as well as deficient rural livelihoods. The potential expansion of wheat production in the region is hindered.
The overall goal of the coordinated project is to improve salinity tolerance of wheat in Central Asia by delivering elite germplasm with improved salinity tolerance that will accelerate the development of new wheat cultivars for the farmers in the region. Working packages are collecting wheat progenitor (Aegilops tauschii and wild tetraploids) species from saline areas of Central Asia, testing the progenitors and other collections (synthetic hexaploid wheat from ICARDA and CIMMYT) for new sources of salinity tolerance, producing new synthetics using the newly identified progenitor species, transfering salinity tolerance into locally adapted wheat cultivars, testing advanced-backcross- as well as association-mapping-populations in winter wheat background for their yield potential under salinity conditions and identify QTLs and candidate genes associated with traits conferring salinity tolerance.
Aim of this study is the identification of QTLs as well as candidate genes in wheat that are linked to traits conferring salinity tolerance using QTL-analysing techniques. The findings will serve as a prelude to facilitate the breeding for salinity tolerance in wheat for Central Asia. In the experiments we use the genotypes of an advanced-backcross-population genotyped by next-generation-sequencing techniques. Hydroponics and imaging systems as well as germination testing protocols will be developed and used for screening the genotypes with respect to their level of osmotic tolerance, Na+ exclusion and Na+ tissue tolerance. Two-year field experiments for evaluating the genotypes under salty soil conditions will be carried out at the four locations Urgench (Uzbekistan), Karshi (Uzbekistan), Tashauz (Turkmenistan) and Krasnovodapad (Kazakhstan) in Central Asia.
Project team
Dadshani, Said (Fon ++49-(0)228-73-3259, Mail dadshani at uni-bonn.de)
Oyiga, Benedict Chijioke
Woitol, Karin
Ruland, Martina
Ballvora, Agim, Dr. (Fon ++49-(0)228-73-7400, Mail ballvora at uni-bonn.de)
Partners
International Center for Agricultural Research in the Dry Areas ICARDA, Aleppo, Syria
State University of Urgench, Uzbekistan
Scientific Research Institute of Grain, Turkmenistan
Krasnavodopadskaya Breeding Station, Kazakhstan
Center for Development Research ZEF, University of Bonn
Duration
2011 – 2014
Funding
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)

Project G7

Title
Utilization of an association-mapping-population for identifying genom regions linked to traits conferring salinity tolerance of winter wheat in central asia (salt tolerance)
within coordinated project
Utilization of wild relatives of wheat for developing salinity tolerant winter wheat with improved quality for Central Asia
Description
Salinity as a major abiotic stress affecting crop plants worldwide is particularly a problem in the Central Asia where irrigation-based farming systems predominate. Estimated yield losses are 30% in Uzbekistan, 40% in Turkmenistan, 30% in Kazakhstan, 18% in Tajikistan and 20% in Kyrgyzstan (Christmann et al., 2009). Consequences are deficient food grain availability as well as deficient rural livelihoods. The potential expansion of wheat production in the region is hindered.
The overall goal of the coordinated project is to improve salinity tolerance of wheat in Central Asia by delivering elite germplasm with improved salinity tolerance that will accelerate the development of new wheat cultivars for the farmers in the region. Working packages are collecting wheat progenitor (Aegilops tauschii and wild tetraploids) species from saline areas of Central Asia, testing the progenitors and other collections (synthetic hexaploid wheat from ICARDA and CIMMYT) for new sources of salinity tolerance, producing new synthetics using the newly identified progenitor species, transfering salinity tolerance into locally adapted wheat cultivars, testing advanced-backcross- as well as association-mapping-populations in winter wheat background for their yield potential under salinity conditions and identify QTLs and candidate genes associated with traits conferring salinity tolerance.
Aim of this study is the identification of QTLs as well as candidate genes in wheat that are linked to traits conferring salinity tolerance using association mapping techniques. The findings will serve as a prelude to facilitate the breeding for salinity tolerance in wheat for Central Asia. In the experiments we use 150 genotypes in an association-mapping-population genotyped by next-generation-sequencing techniques. Hydroponics and imaging systems as well as germination testing protocols will be developed and used for screening the genotypes with respect to their level of osmotic tolerance, Na+ exclusion and Na+ tissue tolerance. Two-year field experiments for evaluatiing the genotypes under salty soil conditions will be carried out at the four locations Urgench (Uzbekistan), Karshi (Uzbekistan), Tashauz (Turkmenistan) and Krasnovodapad (Kazakhstan) in Central Asia.
Project team
Oyiga, Benedict Chijioke (Fon ++49-(0)228-73-2049, Mail oyigab at uni-bonn.de)
Dadshani, Said
Woitol, Karin
Ruland, Martina
Ballvora, Agim, Dr. (Fon ++49-(0)228-73-7400, Mail ballvora at uni-bonn.de)
Partners
International Center for Agricultural Research in the Dry Areas (ICARDA) Aleppo, Syria
State University of Urgench, Uzbekistan
Scientific Research Institute of Grain, Turkmenistan
Krasnavodopadskaya Breeding Station, Kazakhstan
Center for Development Research ZEF, University of Bonn
Duration
2011 - 2014
Funding
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)

 

Project G8

Title
Genetic mapping of root-mediated drought tolerance in barley
Description
Plants cannot escape from abiotic stress situations like mammals. So, they developed sensitive mechanisms to detect and specialized strategies to survive such stress situations. One of the most important abiotic stress factors is drought stress. The adaptation to such extreme environmental conditions differs between different genotypes of one species depending on their genetic variation. Furthermore, they evolved a global adaptation to drought depending on root system modifications. This genetic potential of root system variation under drought conditions has not been well explored.
This study focused on the analysis of root system variations in barley in achieving sustainable supply of water and nutrients under drought conditions. We established a global population comprising of 184 genotypes (cultivars, landraces and wild accessions) of barley across 41 diverse countries. These genotypes has been phenotyped for root system variation under control and drought conditions. In parallel, this population was genotyped using 9K iSelect SNP chip. A state of the art method of association mapping will be employed to correlate the phenotype and genotype data in order to find QTLs/gene regions associated to root system variation under drought stress conditions. Further, associated markers will be aligned on the barley genome using GenomeZipper to select candidate genes for positional cloning and downstream characterization of their function in the process of drought stress tolerance. This leads to understand the genetic potential of root mediated drought stress tolerance in barley.
Project team
Reinert, Stephan (Fon ++49-(0)228-73-2032, Mail: sreinert at uni-bonn.de)
Naz, Ali, Dr. (Fon ++49-(0)228-73-2752, Mail: a.naz at uni-bonn.de)
Duration
2013 - 2016
Funding
The Ministry for Climate Protection, Environment, Agriculture, Nature Conservation and Consumer Protection of the German State of North Rhine-Westphalia
Literature
Sayed, AS., Schumann, H., Pillen K., Naz AA., Léon, J., 2012. AB-QTL analysis reveals new alleles associated to proline accumulation and leaf wilting under drought stress conditions in barley (Hordeum vulgare L.). BMC Genetics, accepted.
Naz, AA., Ehl, A., Pillen, K., Léon, J., 2012. Validation for root-related quantitative trait locus effects of wild origin in the cultivated background of barley (Hordeum vulgare L.). Plant Breeding 131, 392-398.
Naz, AA., Kunert, A., Kerstin, F., Pillen, K., Léon, J., 2012. Advanced backcross quantitative trait locus analysis in winter wheat: Dissection of stripe rust seedling resistance and identification of favorable exotic alleles originated from a primary hexaploid wheat (Triticum turgidum ssp. dicoccoides x Aegilops tauschii). Molecular Breeding, DOI 10.1007/s11032-012-9710-2.
Naz, AA., Kunert, A., Volker, L., Pillen, K., Léon, J., 2008. AB-QTL analysis in winter wheat: II. Genetic analysis of seedling and field resistance against leaf rust in a wheat advanced backcross population. Theoretical and Applied Genetics 116, 1095-1104.
Kunert, A., Naz, AA., Dedeck, O., Pillen, K., Léon, J., 2007. AB-QTL analysis in winter wheat: I. Detection of favourable exotic alleles for baking quality traits introgressed from synthetic hexaploid wheat (Triticum turgidum ssp. dicoccoides × T. tauschii). Theoretical and Applied Genetics 115, 683-695.
Naz, AA., 2007. Comparative mapping of genes for plant disease resistance in wheat advanced backcross population by means of DNA markers. Shaker Verlag Aachen. ISBN 978-3-8322-6183-2.

Project G9

Title
Identification of closely linked markers for brown and yellow rust restistence genes and determination of the variation of the virulence of brown and yellow rust populations in field
Description
...
Project team

Bungartz, Annemarie (Fon ++49-(0)228-73-2875, Mail s7anbung at uni-bonn.de)
Naz, Ali, PD Dr., (Fon ++49-(0)228-73-2752, Mail a.naz at uni-bonn.de)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
...
Duration
2014 - 2017
Funding
Federal Ministry of Food and Agriculture, Germany


Project G10

Title
Initiative: Breeding innovations in Wheat for resilient cropping systems (BRIWECS) - Coordinated project: Innovative plant breeding within the cultivation system (IPAS) - Part Genotype by crop management interactions
Description
With an average yield increase of 1-2% per year wheat breeding and production system development has been a success story worldwide. Innovations achieved by breeding over the past 50 years include improved plant canopy and root architecture and function, physiological and morphological adaptation to abiotic stress, resistances against biotic stress, and dense genetic marker maps which now enable us to identify small genetic regions of interest. Cropping system improvements comprise more targeted use of nitrogen fertilizers and plant protection including weed control, as well as improved tillage and irrigation. Future wheat production will most likely be characterized by the need to further increase yields, to improve the efficiency of resource use and to stabilize yields under increasingly fluctuating environmental conditions. This requires more resilient crops and cropping systems.

In the first three years of the requested five-year project we plan to quantify innovations in wheat breeding of the past 50 years under different production systems varying in level of intensity of nitrogen supply and chemical plant protection, and under a range of temperatures and availability of water in the field. In a genome wide association mapping approach (GWAS), genomic regions or genes involved in breeding innovations will be determined and their interplay with the production system and the environment will be quantified. Factors influencing innovation development and integration in the German innovation system, comprising research institutions, breeders and their associations as well as the Federal Plant Variety Office (and the seed testing authorities of the single states), seed propagation enterprises, and farmers will be determined.

In years 4-5 information of breeding innovations in relation to the production system and environment will be integrated in a simulation model to evaluate the genotype x environment x management interaction for all traits and trait combinations tested previously under present and expected future conditions. Based on model results, association studies and socio-economic analyses cultivar x production system x environment scenarios will be defined which will be analyzed further theoretically and experimentally. With the results of these studies we hope to be able to better define future breeding goals and production systems designs to meet future needs sustainably.
Project team
Mirza, Majid Baig ( (Fon ++49-(0)228-73--2049, Mail majidsolo2003 at hotmail.com)
Ballvora, Agim. Dr. (Fon ++49-(0)228-73-7400, Mail ballvora@uni-bonn.de)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
Website:
www.briwecs.de
Institute for Food and Resource Economics, University of Bonn
Department of Plant Breeding, University of Gießen
Institute for Resistance Research and Stress Tolerance, JKI Quedlinburg
Department of Genebank, Institute of Plant Genetics & Crop Plant Research IPK
Institute of Crop Science and Plant Breeding, University of Kiel
Institute of Biological Production Systems, Leibniz Universität Hannover
Duration
2014 - 2017
Funding
Federal Ministry of Education and Research, Germany, PTJ

 

Project G11

Title
Genetic and molecular analysis of epistatic effects of the flowering time in a "multi-parent- advanced generation intercross" (MAGIC) - population in Barley
Description
Recent studies in barley have demonstrated the importance of epistatic interactions in domestication-related traits including the heading date. Considering epistatic genetic effects and the analysis of interactive molecular pathways would on one side lead to an increased selection gain in marker-assisted breeding and on the other side corroborate the significant role of epistatic effects for a deeper understanding of flowering time in cereals.
Project team
N.N.
Ballvora, Agim Dr. (Fon ++49-(0)228-73-7400, Mail ballvora@uni-bonn.de)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
see http://www.flowercrop.uni-kiel.de/en/projects/phase-ii/coordination-project
Duration
2015 - 2018
Funding
DFG

 

Project G12

Title
Water use efficiency and drought stress mechanisms - From Arabidopsis to Barley - DFG Research Training Group 2064 - Part 5 Allele mining and functional characterization of genes regulating proline metabolism under drought stress in Barley
Description
Proline is a compatible solute accumulating in plants under many environmental stresses. It serves as a key osmotic regulator that suppresses cell-membrane rupture during severe drought, contributes to the maintenance of redox balance and is involved in stress recovery. The proline metabolism in Arabidopsis and related higher plants suggested a vital role of two enzymes D1-pyrroline-5-carboxylate synthetase (P5CS) and D1-pyrroline-5-carboxylate reductase (P5CR). Interestingly, up-regulation of P5CS1 under drought, is a hallmark of higher proline accumulation and drought stress tolerance. Recently, we have established state-of-the-art genetic resources in barley to dissect genetic networks modulating proline metabolism. These unique genetic resources can also be utilized to identify new alleles associated to proline metabolism to develop drought-resilient barley varieties.
Objectives
The focus of this project is to understand the mechanism of proline accumulation and to generalise its role in drought stress tolerance of barley. Barley represents an ideal model crop to study drought genetics because of its immense diversity and adaptability in nature. The specific objectives of this project are:
a) Screening of barley germplasm to identify novel variants for proline accumulation under control and drought stress conditions.
b) Sequencing of candidate genes associated with proline metabolism and transport and identification of new allelic variants among the diverse barley gene pool.
c) Development of gene specific markers for proline-associated genes and genetic mapping of proline-related QTL effects in a population of wild barley introgression lines.
d) Expression analysis of candidate genes in selected genotypes and their comparison to proline accumulation.
e) Functional characterization of P5CS and P5CR genes in proline metabolism and drought stress tolerance of barley using TALE (transcription activator-like effector)-nuclease mediated gene knock out approach.
Project team
N.N.
Naz, Ali, PD Dr., (Fon ++49-(0)228-73-2752, Mail a.naz at uni-bonn.de)
Léon, Jens, Prof. Dr. (Fon ++49-(0)228-73-2878, Mail j.leon at uni-bonn.de)
Partners
see http://www.imbio.uni-bonn.de/GRK2064-en/projects
Duration
2015 - 2020
Funding
DFG

 











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