It is well established that reduced supply of fresh organic matter, interactions of organic matter with mineral phases and spatial inaccessibility affect C stocks in subsoils. However, quantitative information required for a better understanding of the contribution of each of the different processes to C sequestration in subsoils and for improvements of subsoil C models is scarce. The same is true for the main controlling factors of the decomposition rates of soil organic matter in subsoils. Moreover, information on spatial variabilities of different properties in the subsoil is rare. The few studies available which couple near and middle infrared spectroscopy (NIRS/MIRS) with geostatistical approaches indicate a potential for the creation of spatial maps which may show hot spots with increased biological activities in the soil profile and their effects on the distribution of C contents. Objectives are (i) to determine the mean residence time of subsoil C in different fractions by applying fractionation procedures in combination with 14C measurements; (ii) to study the effects of water content, input of 13C-labelled roots and dissolved organic matter and spatial inaccessibility on C turnover in an automatic microcosm system; (iii) to determine general soil properties and soil biological and chemical characteristics using NIRS and MIRS, and (iv) to extrapolate the measured and estimated soil properties to the vertical profiles by using different spatial interpolation techniques. For the NIRS/MIRS applications, sample pretreatment (air-dried vs. freeze-dried samples) and calibration procedures (a modified partial least square (MPLS) approach vs. a genetic algorithm coupled with MPLS or PLS) will be optimized. We hypothesize that the combined application of chemical fractionation in combination with 14C measurements and the results of the incubation experiments will give the pool sizes of passive, intermediate, labile and very labile C and N and the mean residence times of labile and very labile C and N. These results will make it possible to initialize the new quantitative model to be developed by subproject PC. Additionally, we hypothesize that the sample pretreatment 'freeze-drying' will be more useful for the estimation of soil biological characteristics than air-drying. The GA-MPLS and GA-PLS approaches are expected to give better estimates of the soil characteristics than the MPLS and PLS approaches. The spatial maps for the different subsoil characteristics in combination with the spatial maps of temperature and water contents will presumably enable us to explain the spatial heterogeneity of C contents.
In the last decades agricultural policy has gained increasingly in complexity. Nowadays it influences the food and agricultural sector from the global market down to the farm level. Widespread research questions, like the impact of the WTO negotiations on the farm structure, most often require comprehensive modeling frameworks. Thus, different types of models are utilized according to their comparative advantages and combined in a strategically useful way to more accurately represent micro and macro aspects of the food and agricultural sector. Consequently, in recent years we have seen an increase in the development and application of model linkages. Given this background, the overall objective of this subproject is a systematic sensitivity analysis of model linkages that gradually involves more and more characteristics of the linkage and the corresponding transfer of results between models. In addition, the project aims to answer the following specific question: How does structural change at the farm level influence aggregate supply and technical progress? Under which conditions is it possible to derive macro-relationships from micro-relationships? How does the aggregation level influence the model results and how can possible problems be overcome? This procedure is used to quantify the effects and to derive conditions for optimal interaction of the connected models. The analysis is based on the general equilibrium model GTAP (Global Trade Analysis Project) and the farm group model FARMIS (Farm Modelling Information System) which are employed in conjunction to analyze the effects of WTO negotiations on the farm level.
Durum wheat is mainly grown as a summer crop. An introduction of a winter form failed until now due to the difficulty to combine winter hardiness with required process quality. Winter hardiness is a complex trait, but in most regions the frost tolerance is decisive. Thereby a major QTL, which was found in T. monococcum, T.aestivum, H. vulgare and S.cereale on chromosome 5, seems especially important. With genotyping by sequencing it is now possible to make association mapping based on very high dense marker maps, which delivers new possibilities to detect main and epistatic effects. Furthermore, new sequencing techniques allow candidate gene based association mapping. The main aim of the project is to unravel the genetic architecture of frost tolerance and quality traits in durum. Thereby, the objectives are to (1) determine the genetic variance, heritability and correlations among frost tolerance and quality traits, (2) examine linkage disequilibrium and population structure, (3) investigate sequence polymorphism at candidate genes for frost tolerance, and (4) perform candidate gene based and genome wide association mapping.
Neben Studien zur Diversität von Gefäßpflanzen in ausgewählten Untersuchungsflächen wurde der Erforschung der endemischen Palmenart Normanbya normanbyi besondere Aufmerksamkeit gewidmet. Im Mittelpunkt stehen Studien zur Blüten- und Fruchtökologie. Dabei wurde u.a. eine bisher unbeschriebene Gattung der Gallmücken entdeckt. Der interdisziplinäre Forschungsansatz soll wesentliche Erkenntnisse über Tier-Pflanze-Interaktionen in Regenwäldern liefern. Hauptaugenmerk liegt auf der Erfassung der Blüten- und Fruchtphänologie eines tropischen Tieflandregenwaldes in Nordostqueensland. Das Projekt beinhaltet die Erfassung der Phänologie aller Unterwuchsarten, Lianen und Baumarten in einer 1 ha großen Untersuchungsfläche. Weiterführend wird die Blühphänologie einer ausgewählten Palmenart Normanbay normanbyi erfasst und mit Hilfe molekulargenetischer Methoden im Zusammenhang mit der Verwandtschaftsstruktur ausgewählter Populationen betrachtet. Die Feldarbeiten für das 2003 begonnene Projekt wurden im Juli 2005 abgeschlossen.
Especially during the last decades, the natural forests of Ethiopia have been heavily disturbed by human activities. Some forests have been totally cleared and converted into fields for agricultural use, other suffered from different influences, such as heavy grazing and selective logging. The ongoing research in the Shashemane-Munessa-study area (Gu 406/8-1,2) showed clearly that, in spite of interdiction and control, forests continue to be cleared and degraded. However, it is not yet sufficiently known, how and why these processes are still going on. Growing population pressure and economic constraints for the people living in and around the forests contribute to the actual situation but allow no final answers to the complex situation. Concerning a sustainable management of the forests there is to no solid basis for recommendations from the socioeconomic and socio-cultural view. Therefore, a comprehensive analysis of the traditional needs and forms of forest use, including all forest products, is necessary. The objective of this project is, to achieve this basis by carrying out intensive field observations, the consultation of aerial photographs, satellite imagery and above all semi-structured interviews with the population in the study area in order to contribute to the recommendations for a sustainable use of the Munessa Shasemane forests.
Changes in agroecosystem management (e.g. landscape diversity, management intensity) affect the natural control of pests. The effects of agricultural change on this ecosystem service, however, are not universal and the mechanisms affecting it remain to be understood. As biological control is effectively the product of networks of interactions between pests and their natural enemies, food web analysis provides a versatile tool to address this gap of knowledge. The proposed project will utilize a molecular food web approach and examine, for the first time, how changes in plant fertilisation and landscape complexity affect quantitative aphid-parasitoid-hyperparasitoid food webs on a species-specific level to unravel how changes in food web interactions affect parasitoid aphid control. Based on the fieldderived data, cage experiments will be conducted to assess how parasitoid diversity and identity affect parasitoid interactions and pest control, complementing the field results. The work proposed here will take research on parasitoid aphid control one step further, as it will provide a clearer understanding of how plant fertilization affects whole aphid-parasitoid food webs in both simple and complex landscapes, allowing for further improvements in natural pest control.
Comprehension of belowground competition between plant species is a central part in understanding the complex interactions in intercropped agricultural systems, between crops and weeds as well as in natural ecosystems. So far, no simple and rapid method for species discrimination of roots in the soil exists. We will be developing a method for root discrimination of various species based on Fourier Transform Infrared (FTIR)-Attenuated Total Reflexion (ATR) Spectroscopy and expanding its application to the field. The absorbance patterns of FTIR-ATR spectra represent the chemical sample composition like an individual fingerprint. By means of multivariate methods, spectra will be grouped according to spectral and chemical similarity in order to achieve species discrimination. We will investigate pea and oat roots as well as maize and barnyard grass roots using various cultivars/proveniences grown in the greenhouse. Pea and oat are recommendable species for intercropping to achieve superior grain and protein yields in an environmentally sustainable manner. To evaluate the effects of intercropping on root distribution in the field, root segments will be measured directly at the soil profile wall using a mobile FTIR spectrometer. By extracting the main root compounds (lipids, proteins, carbohydrates) and recording their FTIR-ATR spectra as references, we will elucidate the chemical basis of species-specific differences.
Chromium (Cr) is introduced into the environment by several anthropogenic activities. A striking ex-ample is the area around Kanpur in the Indian state of Uttar Pradesh, where large amounts of Cr-containing wastes have been recently illegally deposited. Hexavalent Cr, a highly toxic and mobile contaminant, is present in significant amounts in these wastes, severely affecting the quality of sur-roundings soils, sediments, and ground waters. The first major goal of this study is to clarify the solid phase speciation of Cr in these wastes and to examine its leaching behavior. X-ray diffraction and synchrotron-based X-ray absorption spectroscopy techniques will be employed for quantitative solid phase speciation of Cr. Its leaching behavior will be studied in column experiments performed at un-saturated moisture conditions with flow interruptions simulating monsoon rain events. Combined with geochemical modeling, the results will allow the evaluation of the leaching potential and release kinetics of Cr from the waste materials. The second major goal is to investigate the spatial distribution, speciation, and solubility of Cr in the rooting zone of chromate-contaminated soils surrounding the landfills, and to study the suitability of biochar as novel soil amendment for mitigating the deleterious effects of chromate pollution. Detailed field samplings and laboratory soil incubation studies will be carried out with two agricultural soils and biochar from the Kanpur region.
Fusarium species of the Gibberella fujikuroi species complex cause serious diseases on different crops such as rice, wheat and maize. An important group of plant pathogens is the Gibberella fujikuroi species complex (GFC) of closely related Fusarium species which are associated with specific hosts; F. verticillioides and F. proliferatum are particularly associated with maize where they can cause serious ear-, root-, and stalk rot diseases. Two other closely related species of the GFC, F. mangiferae and F. fujikuroi, which share about 90Prozent sequence identity with F. verticillioides, are pathogens on mango and rice, respectively. All of these species produce a broad spectrum of secondary metabolites such as phytohormones (gibberellins, auxins, and cytokinins), and harmful mycotoxins, such as fumonisin, fusarin C, or fusaric acid in large quantities. However, the spectrum of those mycotoxins might differ between closely related species suggesting that secondary metabolites might be determinants for host specificity. In this project, we will study the potential impact of secondary metabolites (i.e. phytohormones and certain mycotoxins) and some other species-specific factors (e.g. species-specific transcription factors) on host specificity. The recently sequenced genomes of F. mangiferae and F. fujikuroi by our groups and the planned sequencing of F. proliferatum will help to identify such determinants by genetic manipulation of the appropriate metabolic pathway(s).
Ziel dieses Projektes ist die Beschreibung von Strömungsmustern über ästuarinen Bodenformen anhand von Rinnenexperimenten und numerischen Simulationen. Bodenformen (Riffel und Dünen) sind weitverbreitete Bestandteile von Flüssen, Ästuaren, Küstengewässern- und Tiefseegebieten. Bodenformen liefern Hinweise auf Richtung und Stärke von Sedimenttransportprozessen, haben einen starken Einfluss auf die über ihnen liegende Strömung und sind zudem von großer sozioökonomischer Bedeutung, z. B. hinsichtlich ihrer Auswirkungen auf die Schiffbarkeit der Gewässer. In vielen Ästuaren bilden sich aufgrund der starken Hydrodynamik und der hohen Verfügbarkeit von sandigen Sedimenten große Bodenformfelder. Die Strömung über diesen Bodenformfeldern unterscheidet sich grundlegend von der Strömung über den bekannten, dreieckigen Bodenformen mit einem Neigungswinkel von 30°, die bisher im Fokus von Labor- und numerischen Modellierungsstudien standen. Ästuarine Bodenformen sind hauptsächlich flachgeböschte Dünen mit mittleren Luvwinkeln von 5 bis 20°. Die Strömungseigenschaften über derartigen, flachen Winkeln sind derzeit nicht genau bekannt. So ist zum Beispiel der Zusammenhang zwischen der Neigung der Leeböschung und dem Vorhandensein oder Fehlen einer intermittierenden oder permanenten Strömungsablösung noch nicht ausreichend verstanden. Außerdem haben ästuarine Dünen ein relativ flaches Tal und steile Böschungen in der Nähe des Kammes, während Flussdünen einen flachen Kamm und in der Nähe des Tals steile Böschungen haben. Die Auswirkungen dieses Unterschieds in der Dünenmorphologie auf die Strömung sind derzeit noch unbekannt. Darüber hinaus wurde der Zusammenhang zwischen einer sich in der Richtung ändernden Gezeitenströmung und der natürlichen Morphologie von Dünen, einschließlich der dreidimensionalen Variationen, noch nicht im Detail untersucht.Im Rahmen der vorgeschlagenen Studie werden mehrere Versuchsreihen in einer großen Laborrinne durchgeführt, um die Strömungseigenschaften (Geschwindigkeit und Turbulenz) über an Ästuardünen angelehnten Modelldünen aus Beton zu charakterisieren. Basierend auf Feldmessungen von Bodenformen in der Weser werden drei Dünenformvarianten untersucht: Steilgeböschte asymmetrische Dünen, flachgeböschte asymmetrische Dünen und flachgeböschte symmetrische Dünen. Darüber hinaus werden hochauflösende numerische Simulationen der Strömung über dreidimensionalen Bodenformfeldern die Rinnenexperimente ergänzen. Mithilfe der Modellsimulationen ist es möglich, die Geschwindigkeitsstrukturen der Gezeitenströmung und die Turbulenzstrukturen über natürlichen, in der Weser vorkommenden Dünenfeldern zu bestimmen. Die Ergebnisse dieses Projekts tragen zu einem besseren Verständnis der komplexen Wechselwirkungen zwischen ästuarinen Dünen und der Gezeitenströmung bei und erlauben eine bessere Parametrisierung der kleinräumigen Prozesse in großräumigen hydro- und morphodynamischen Modellen.
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