Newest publications
Bericht der Landesanstalt für Bienenkunde der Universität Hohenheim für das Jahr 2024
(2025) Traynor, Kirsten
Politische Polarisierung und Fragmentierung im Lichte sozialer Medien
Eine kritische Bestandsaufnahme des Forschungsstandes
(2025) Jost, Arietta; Scheufele, Bertram
Wo steht die sozialwissenschaftliche Forschung zu politischer Polarisierung und Fragmentierung im Lichte sozialer Medien? Dieser Frage gehen die beiden Autoren nach, indem sie eine propositionale bzw. thematische Meta-Analyse durchführten. Dazu erfassten sie, (1) wie Journalbeiträge die beiden Konstrukte theoretisch konzipieren, (2) welche Themen, Länder und Medien sie betrachten und (3) welche methodische Vorgehensweise sie wählen, um die beiden Konstrukte empirisch zu untersuchen. Die Ergebnisse zeigen, dass politische Polarisierung und Fragmentierung selten konkret definiert werden. Im Fokus steht vielfach Twitter, aber auch die sozialen Medien generell, wobei meist der sogenannte globale Norden betrachtet wird. Methodisch dominieren Querschnittsbetrachtungen und Web-Scraping. Diese Schwerpunkte und Defizite bisheriger Forschung münden abschließend in Empfehlungen für künftige Forschung.
AI-enabled information systems: teaming up with intelligent agents in networked business
(2024) Hofmann, Peter; Urbach, Nils; Lanzl, Julia; Desouza, Kevin C.; Hofmann, Peter; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Urbach, Nils; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Lanzl, Julia; FIM Research Center, University of Bayreuth, Bayreuth, Germany; Desouza, Kevin C.; School of Management, Faculty of Business & Law, Queensland University of Technology, Brisbane, Australia
Practical preparation of unsaturated very-long-chain fatty acids (VLCFAs) and very-long-chain alkene pollinator attractants
(2024) Bohman, Björn; Bersch, Aylin J.; Flematti, Gavin R.; Schlüter, Philipp M.; Bohman, Björn; School of Molecular Sciences, University of Western Australia, Perth, Australia; Bersch, Aylin J.; Department of Plant Evolutionary Biology, Institute of Biology, University of Hohenheim, Stuttgart, Germany; Flematti, Gavin R.; School of Molecular Sciences, University of Western Australia, Perth, Australia; Schlüter, Philipp M.; Department of Plant Evolutionary Biology, Institute of Biology, University of Hohenheim, Stuttgart, Germany
To prepare very-long-chain fatty acids and alkenes (VLCFAs and VLC alkenes) that are known pollinator attractants for sexually deceptive orchids, and biosynthetic precursors thereof, we applied a methodology allowing us to prepare monounsaturated VLCFAs with chain lengths up to 28 carbons and VLC alkenes up to 31 carbons. We implemented a coupling reaction between commercially available terminal alkynes and bromoalkanoic acids to prepare VLCFAs, allowing the products to be formed in two steps. For VLC alkenes, with many alkyltriphenylphosphonium bromides commercially available, we applied a Wittig reaction approach to prepare ( Z )-configured monoenes in a single step. Using practical methods not requiring special reagents or equipment, we obtained 11 VLCFAs in > 90% isomeric purity, and 17 VLC alkenes in > 97% isomeric purity. Such general and accessible synthetic methods are essential for chemical ecology and biochemistry research to aid researchers in unambiguously identifying isolated semiochemicals and their precursors.
Genomic dissection of the correlation between milk yield and various health traits using functional and evolutionary information about imputed sequence variants of 34,497 German Holstein cows
(2024) Schneider, Helen; Krizanac, Ana-Marija; Falker-Gieske, Clemens; Heise, Johannes; Tetens, Jens; Thaller, Georg; Bennewitz, Jörn; Schneider, Helen; Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany; Krizanac, Ana-Marija; Department of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany; Falker-Gieske, Clemens; Department of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany; Heise, Johannes; Vereinigte Informationssysteme Tierhaltung w.V. (VIT), 27283, Verden, Germany; Tetens, Jens; Department of Animal Sciences, University of Göttingen, 37077, Göttingen, Germany; Thaller, Georg; Institute of Animal Breeding and Husbandry, Christian-Albrechts University of Kiel, 24098, Kiel, Germany; Bennewitz, Jörn; Institute of Animal Science, University of Hohenheim, 70599, Stuttgart, Germany
Background: Over the last decades, it was subject of many studies to investigate the genomic connection of milk production and health traits in dairy cattle. Thereby, incorporating functional information in genomic analyses has been shown to improve the understanding of biological and molecular mechanisms shaping complex traits and the accuracies of genomic prediction, especially in small populations and across-breed settings. Still, little is known about the contribution of different functional and evolutionary genome partitioning subsets to milk production and dairy health. Thus, we performed a uni- and a bivariate analysis of milk yield (MY) and eight health traits using a set of ~34,497 German Holstein cows with 50K chip genotypes and ~17 million imputed sequence variants divided into 27 subsets depending on their functional and evolutionary annotation. In the bivariate analysis, eight trait-combinations were observed that contrasted MY with each health trait. Two genomic relationship matrices (GRM) were included, one consisting of the 50K chip variants and one consisting of each set of subset variants, to obtain subset heritabilities and genetic correlations. In addition, 50K chip heritabilities and genetic correlations were estimated applying merely the 50K GRM.
Results: In general, 50K chip heritabilities were larger than the subset heritabilities. The largest heritabilities were found for MY, which was 0.4358 for the 50K and 0.2757 for the subset heritabilities. Whereas all 50K genetic correlations were negative, subset genetic correlations were both, positive and negative (ranging from -0.9324 between MY and mastitis to 0.6662 between MY and digital dermatitis). The subsets containing variants which were annotated as noncoding related, splice sites, untranslated regions, metabolic quantitative trait loci, and young variants ranked highest in terms of their contribution to the traits’ genetic variance. We were able to show that linkage disequilibrium between subset variants and adjacent variants did not cause these subsets’ high effect.
Conclusion: Our results confirm the connection of milk production and health traits in dairy cattle via the animals’ metabolic state. In addition, they highlight the potential of including functional information in genomic analyses, which helps to dissect the extent and direction of the observed traits’ connection in more detail.