Bastian Siegmann

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Transfection of foreign DNA into eukaryotic cells has become an important tool in molecular biology. Based on the results of previous studies of the core structure of human adenoviruses, we have developed a novel transfection method. The procedure involves the in vitro reconstitution of foreign DNA-of viral or other origins-with the major core protein VII(More)
We have mapped early and late viral gene products expressed in Autographa californica nuclear polyhedrosis virus ( AcNPV )-infected Spodoptera frugiperda cells by cell-free translation of virus-specific RNA which was selected by hybridization to cloned restriction endonuclease fragments of AcNPV DNA. Proteins synthesized in vitro were labeled with(More)
We have analysed early viral gene products expressed in adenovirus type 12 (Ad12)-infected cells as well as in two Ad12-transformed hamster cell lines, and Ad12-induced rat tumour cell lines by cell-free translation of virus-specific RNA which was selected by hybridization to cloned restriction endonuclease fragments of virus DNA. Proteins synthesized in(More)
The exploration of bio-physical crop parameters is fundamental for the efficiency of smart agriculture. The leaf area index (LAI) is one of the most important crop parameters and serves as a valuable indicator for yield-limiting processes. It contributes to situational awareness ranging from agricultural optimization to global economy. In this paper, we(More)
In modern agriculture, the spatially differentiated assessment of the leaf area index (LAI) is of utmost importance to allow an adapted field management. Current hyperspectral satellite systems provide information with a high spectral but only a medium spatial resolution. Due to the limited ground sampling distance (GSD), hyperspectral satellite images are(More)
The determination of soil texture and organic carbon across agricultural areas provides important information to derive soil condition. Precise digital soil maps can help to till agricultural fields with more accuracy, greater cost-efficiency and better environmental protection. In the present study, the laboratory analysis of sand, silt, clay and soil(More)
Leaf area index (LAI) and above ground biomass dry matter (DM) are key variables for crop growth monitoring and yield estimation. High prediction accuracies of these parameters are a vital prerequisite for sophisticated yield projections. The aim of the study was to examine the predictive ability of partial least squares regression (PLSR) for LAI and DM(More)
Remote sensing is a suitable tool for estimating the spatial variability of crop canopy characteristics, such as canopy chlorophyll content (CCC) and green ground cover (GGC%), which are often used for crop productivity analysis and site-specific crop management. Empirical relationships exist between different vegetation indices (VI) and CCC and GGC% that(More)
Remote sensing data acquired from satellites are a vital information source for precision agriculture to assess current crop conditions. Field measurements of plant parameters, like the leaf area index (LAI), serve as a crucial basis to validate parameter maps derived from satellite images. Traditionally, in-situ LAI measurements are collected manually.(More)