Die chronologische Liste zeigt aktuelle Veröffentlichungen aus dem Forschungsbetrieb der Hochschule Weihenstephan-Triesdorf. Zuständig ist das Zentrum für Forschung und Wissenstransfer (ZFW).
8 Ergebnisse
Prof. Dr. Bernd Hertle
Vom Buchs- zum Parterregarten (2024) Grünberger Staudentage 2024 .
Anna Kirn,
Wilfried Vahjen,
Peter Weindl,
Dr. Philipp Hofmann,
Jürgen Zentek,
Prof. Dr. Gerhard Bellof
In addition to the whole white-flowered pea, pea protein concentrates and pea hulls can be utilized in animal nutrition. In particular, fermentable carbohydrates and fibers in peas and pea products seem to contribute to intestinal health and health maintenance in poultry, due to their prebiotic effect on the intestinal microbiota. This study was conducted to investigate the effect of different proportions of peas (P), pea protein concentrate (PPC) and pea hulls (PH) in complete feed mixtures for broilers on growth and slaughter performance as well as intestinal microbiota. Twenty diets with varying proportions of peas and pea products were fed to male broilers from d 1 to 34. Short-chain fatty acid analysis and 16S sequencing were used to examine the ileal and cecal microbiota for selected feeding groups. Overall, the attained fattening performances were at a high level. The use of peas and pea products did not affect body weight on d 34 or slaughter performance. The use of pea hulls up to 6% resulted in the highest overall feed intake and overall feed conversion ratio (P < 0.001). Microbiota composition and ileal bacterial metabolites were unchanged. Microbiota changes in the cecum were found between dietary treatments for several subdominant microbial genera that preferentially ferment carbohydrates. This study has shown that peas and pea products are well-suited as feedstuffs for feeding broilers when used appropriately. Furthermore, the intestinal microbiota responded with an increased abundance of nonpathogenic genera that may help maintain intestinal microbial homeostasis.
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M.Sc. Christian Mergel,
Prof. Dr. Klaus Menrad,
Dr. Thomas Decker
Construction and use of buildings is one of the highest users of global energy (34%) and one of the highest contributors to greenhouse gas emissions (37%). Using wood instead of carbon-intensive materials such as bricks reduces a building's embodied energy and is a more eco-friendly alternative. Since the quota of newly built wooden houses in Germany is still relatively low, gaining insights into the perspective of consumers is crucial. This study aims to investigate factors from a consumer perspective that influence the selection of wood as the primary building material for residential houses. Therefore, an online survey was conducted in Germany to gather data from individuals (N = 510) who either bought or built a house in the last 5 years. By conducting a logistic regression, we have identified six influencing factors for the selection of wood. Positive views on wood's eco-friendliness and emphasis on renewable materials are key factors in choosing wood. Higher age and living in rural areas also increase the likelihood of selecting wood, while concerns about value stability and durability have negative effects. We conclude that increasing information activities, raising awareness about wood's ecological benefits, and dispelling prejudices can significantly impact its selection as a preferred building material.
Dieses Werk bietet einen Einstieg in die Methoden und Anwendungen des Precision Farming und der Digitalen Landwirtschaft. Es werden sowohl theoretische Grundlagen als auch praktische Anwendungen dokumentiert und so dargestellt, dass die Bewertung unterschiedlichster Ansätze der Landwirtschaft 4.0 erleichtert wird. Behandelt werden die Themen Satellitenortung und Geoinformationssysteme sowie die in der Landwirtschaft wichtigsten Sensoren und Datenübertragungsmethoden. Neben dem Aufbau und der Funktion von Sensoren und Datenverarbeitungssystemen werden verschiedenste Anwendungen, wie teilflächenspezifische Düngung und automatische Lenksysteme, erklärt und bewertet.Das Buch wendet sich an Studierende der Landwirtschaft, der Agrartechnik und anderen den Agrarwissenschaften verwandten Fächern. Darüber hinaus ist es als Überblickswerk für interessierte Praktiker sowie für Mitarbeiter von Behörden und Unternehmen geeignet.
Mehr
Veronika Vikuk,
Andrea Spirkaneder,
Prof. Dr. Patrick Noack,
Alexander Duemig
When reducing the negative impact of agriculture on the environment, one major approach is to substantially decrease the nitrate contamination of the groundwater originating from mineral and organic fertilization. However, efficient plant production relies on sufficient nutrient supply. Finding the balance between appropriate plant nutrition and ground water conservation is a challenge. Appropriate nitrogen fertilization relies on the measurement of mineralized nitrogen (Nmin) - the total amount of nitrate and ammonium - in the soil. Taking soil samples with an auger and subsequent chemical analyses in a laboratory is state of the art. However, this process is time-consuming and often time-delayed. The Stenon FarmLab, a sensor spade, is a new device which claims to measure soil Nmin and other soil parameters in real-time with spectral methods. The aim of this study was to validate the Nmin measurements of the Stenon FarmLab with the common laboratory method. The authors conducted a series of 20 measurements consisting of a varying number of individual values per measurement. In total, 211 individual values on 15 different field sites in three regions in Bavaria, Germany were analyzed. Reference samples for laboratory analysis were taken simultaneously with a sampling auger. Only 181 of the 211 individual values were considered in the evaluation as Nmin contents of less than 42 kg N ha−1 and greater than 189 kg N ha−1 exceeded FarmLab's measurement range. The results showed that the Stenon FarmLab overestimated Nmin in 75 % of the cases in comparison to the laboratory analysis. On average, the mean values of the sampled sites differed by 38 kg N ha−1 showing a 69 % mean deviation from the laboratory. The overall coefficient of determination (R2) was 0.3 for individual measurements and 0.66 for the mean values of a site. In conclusion, the Stenon FarmLab is a good approach for a more time-saving method regarding relative differences within or between fields. However, absolute values measured with the Stenon FarmLab, which are required for demand-driven fertilization, are not accurate enough: the system needs to be further improved to match reference methods.
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Julian Treffler,
Dr. Cynthia Tobisch,
Prof. Dr. Christoph Moning,
Prof. Dr. Jörg Ewald
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