Responsive image

Der Wirtschaftlichkeit auf der Spur

Breunig, P.; Kümmerer, S.; Bauer, B.; Braun, K.; Fleischmann, A.; Meyer, T.; Noack, P....

DLG-Mitteilungen 2022 (7), S. 18-20.


Towards a better understanding of the genetic architecture of complex traits

Grimm, D. (2022)

Keynote @TüBMI 2022, Tübinger Bioinformatics and Medical Informatics Days 2022.

Effects of reduced energy and amino acid contents in complete feed mixtures on fattening and slaughter performance of slow or fast growing turkey genotypes in different organic housing systems

Göppel, S.; Weindl, P.; Lambertz, C.; Thesing, B.; Born, S.; Schmidt, E....

European Poultry Science 86.
DOI: 10.1399/eps.2022.362


Investigation of Bioavailability and Food-Processing Properties of Arthrospira platensis by Enzymatic Treatment and Micro-Encapsulation by Spray Drying

Maag, P.; Dirr, S.; Özmutlu Karslioglu, Ö. (2022)

Foods 11, 1922 (13), S. 1-12.
DOI: 10.3390/foods11131922

Open Access

Hefeverhalten: Flokkulation von Brauereihefen

Seibel, K.; Haensel, M.; Weiland, F. (2022)

Brauwelt 2022 (26), S. 641-644.


Die Flokkulation ist ein wichtiger Aspekt des Hefeverhaltens und wird in der Brauwirtschaft als wirksamer, kostengünstiger und natürlicher Mechanismus zur Entfernung von Hefe aus Bier genutzt. Der folgende Übersichtsartikel fasst den aktuellen Forschungsstand der an der Flokkulation beteiligten Molekularbiologie zusammen.

Löslichkeit von Kohlenstoffdioxid in Abhängigkeit der Wasserhärte

Krutel, M.; Tippmann, J.; Haensel, M. (2022)

33. Expertentreffen Getränkeschankanlagen.

Vom Westallgäu bis zum Bodensee – 23. Juni 2022

Medienbeitrag, . (2022)



Mächtiges Grünzeug: So hilfreich und genial sind Pflanzen

Medienbeitrag, . (2022)

odysso - Wissen im SWR (Fernsehbeitrag des SWR), 23.06.2022.


Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning

Bodesheim, P.; Babst, F.; Frank, D.; Hartl, C.; Zang, C.; Jung, M.; Reichstein, M....

Environmental Data Science 1, e9.
DOI: 10.1017/eds.2022.8

Open Access

Tree-ring chronologies encode interannual variability in forest growth rates over long time periods from decades to centuries or even millennia. However, each chronology is a highly localized measurement describing conditions at specific sites where wood samples have been collected. The question whether these local growth variabilites are representative for large geographical regions remains an open issue. To overcome the limitations of interpreting a sparse network of sites, we propose an upscaling approach for annual tree-ring indices that approximate forest growth variability and compute gridded data products that generalize the available information for multiple tree genera. Using regression approaches from machine learning, we predict tree-ring indices in space and time based on climate variables, but considering also species range maps as constraints for the upscaling. We compare various prediction strategies in cross-validation experiments to identify the best performing setup. Our estimated maps of tree-ring indices are the first data products that provide a dense view on forest growth variability at the continental level with 0.5° and 0.0083° spatial resolution covering the years 1902–2013. Furthermore, we find that different genera show very variable spatial patterns of anomalies. We have selected Europe as study region and focused on the six most prominent tree genera, but our approach is very generic and can easily be applied elsewhere. Overall, the study shows perspectives but also limitations for reconstructing spatiotemporal dynamics of complex biological processes. The data products are available at


TorfFrie - Modell-und Demonstrationsvorhaben zum Einsatz torfreduzierter Substrate im Friedhofsgartenbau

Lohr, D. (2022)

Tagung „Torfminderungskonzepte“ des BMEL.


Using Reinforcement Learning in a Game-like Setup for Automated Process Synthesis without Prior Process Knowledge

Göttl, Q.; Grimm, D.; Burger, J. (2022)

Proceedings of the 14th International Symposium on Process Systems Engineering 2022, S. 1555-1560.
DOI: 10.1016/B978-0-323-85159-6.50259-1


The present work uses reinforcement learning (RL) for automated flowsheet synthesis. The task of synthesizing a flowsheet is reformulated into a two-player game, in which an agent learns by self-play without prior knowledge. The hierarchical RL scheme developed in our previous work (Göttl et al., 2021b) is coupled with an improved training process. The training process is analyzed in detail using the synthesis of ethyl tert-butyl ether (ETBE) as an example. This analysis uncovers how the agent’s evolution is driven by the two-player setup.


Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups

Fricke, U.; Redlich, S.; Zhang, J.; Tobisch, C.; Rojas-Botero, S.; Benjamin, C....

Oecologia 199, S. 407-417.
DOI: 10.1007/s00442-022-05199-4

Open Access

Hochstümpfe im Wirtschaftswald – naturschutzfachlich sinnvoll?

Schölch, M.; Zahner, V.; Reger, B.; Lackner, T.; Tobisch, C. (2022)

Der Dauerwald 66, S. 57-64.


Blattfraß der Gammaeulenraupe

Lohrer, T. (2022)

Gartenpraxis 48 (6), S. 76.

Evaluation of LiDAR for the Free Navigation in Agriculture

Reger, M.; Stumpenhausen, J.; Bernhardt, H. (2022)

AgriEngineering 4 (2), S. 489-506.
DOI: 10.3390/agriengineering4020033

Open Access

Energieeffiziente Regelstrategie in der Gewächshausproduktion

Medienbeitrag, . (2022)

Gärtner + Florist 06/2022.

Orientierungswerte für öffentliches Grün - Forschungsgestützte Empfehlungen zur Weiterentwicklung

Blum, P.; Böhme, C.; Kühnau, C.; Reinke, M.; Willen, L. (2022)

PLANERIN 22 (3), S. 42-44.

Biodiversität und Klimaschutz im Moor – Beispiele aus Oberbayern

Drösler, M.; Patzelt, A. (2022)

Tuexenia Beiheft 14, S. 115-120.

Open Access

Klimawandel im Garten. Teil V: Gefährdet: kontrollieren und ernten

Fröhler, L.; Bucher, A. (2022)

Gartenpraxis 06/2022, S. 54-59.


Balitska L, Tokar A, Tkachuk S, Smetanska I, Gladun A, Vojtshehivskij V, Muljarchuk O. 2022. Analysis of the quality and biochemical composition of fresh cucumbers of the Asterix variety

Smetanska, I. (2022)

Modern Engineering and Innovative Technologies 2022 (1), S. 64-68.
DOI: 10.30890/2567-5273.2022-21-01-067


Zentrum für Forschung und Wissenstransfer (ZFW)

Hochschule Weihenstephan-Triesdorf

Zentrum für Forschung und Wissenstransfer (ZFW)
Am Staudengarten 8 | Gebäude H11
85354 Freising

T +49 8161 71-5110

Betreuung der Publikationsseiten

Gerhard Radlmayr | Laura Hucke
T +49 8161 71-3350, -5384