Refine
Year of publication
Document Type
- Conference Proceeding (222) (remove)
Is part of the Bibliography
- yes (222)
Keywords
- Nachhaltigkeit (8)
- Landscape Planning (3)
- Nutritional Footprint (3)
- Baumpflege (2)
- Bodenverdichtung (2)
- Climate Resilience (2)
- Dendrologie (2)
- Ernährungsbildung (2)
- Green Fingers (2)
- Grünflächenmanagement (2)
Institute
- Fakultät AuL (222) (remove)
Taking the transdisciplinary research study “Green fingers for a climate resilient city”, funded by the German Ministry of education and research (BMBF), as an example, this paper follows the hypothesis that processes of landscape planning and designing multifunctional green spaces and processes of co-creation need to be combined to stimulate climate resilient city transformation. The findings are that efforts to combine these processes benefit from making complex climate-resilient city planning accessible for people of different professional backgrounds. The paper showcases how storytelling (Schmidt 2019), mapping (Langner 2009) and guided walks (Schultz 2019) are means to mutually engage with, perceive and understand multifunctional green spaces, inspire ownership, and build capacity for the city’s climate-resilient transformation.
Einfluss einer Selen-Biofortifikation auf verschiedene Qualitätsparameter von Äpfeln (Abstract)
(2022)
Animal husbandry methods also play an important role in public discussion, as animal welfare is often valued in society by visual perceptions. In this context, there is often an idealized idea of livestock husbandry and nutrition, which is staged by ideal-typical images. In the minds of many citizens, nature-loving images trigger a positive imagination that results from the longings of urban living conditions. Media and stakeholder analyses indicate that the use of straw in livestock husbandry and nutrition also has a positive impact on the welfare of livestock. According to this, straw is preferred by the public for more animal welfare. But what is not considered is the fact that the straw must be of impeccable hygienic quality
Animal husbandry methods also play an important role in public discussion, as animal welfare is often valued in society by visual perceptions. In this context, there is often an idealized idea of livestock husbandry and nutrition, which is staged by ideal-typical images. In the minds of many citizens, nature-loving images trigger a positive imagination that results from the longings of urban living conditions. Media and stakeholder analyses indicate that the use of straw in livestock husbandry and nutrition also has a positive impact on the welfare of livestock. According to this, straw is preferred by the public for more animal welfare.
But what is not considered is the fact that the straw must be of impeccable hygienic quality. Fungal infestation and the formation of mycotoxins in straw can cause diseases in livestock with consequences for animal welfare.
The first evaluation of a perfect straw quality also takes place in science through sensory tests, i.e. through smell, grip, colour and impurities. Only in the case of abnormalities in the sensory tests are further examinations indicated, such as microbiological examination procedures.
The hygienic properties of straw were examined on the basis of these assessment criteria. In addition to the microbiological-hygienic tests, the sensors of the straw were also tested.
The results show that there are no abnormalities in the sensory examination of the hygiene status. This was to observe an impeccable hygiene status.
However, the microbiological-hygienic investigations showed that the straw had microbiological as well as mycotoxin loads above the orientation values. This can have negative health effects, such as diseases for farm animals.
The scientific results led to the conclusion: The public discussion about animal welfare, which is often conducted primarily on the basis of visual impressions, could gain in scientific resilience if it includes objective results such as microbiological analyses in addition to images in order to evaluate animal welfare in livestock farming
Piglets experience a high level of stress upon weaning due to changes in social structures and feeding. Incorporation of flavors in the maternal diet might be a promising tool to prenatally modulate flavor preferences of the offspring and prevent neophobia. This study aimed to evaluate if the supplementation of the maternal diet with Spicemaster GH 501, an intense, plant-based herbal flavor, could affect feed preferences of early-weaned piglets and thus improve feed intake, performance, and overall health conditions. On approx. day 95 of gestation, 59 pregnant sows (DanZucht) were separated into two groups. The control group received commercial gestation and lactation feeds without flavor, while the trial group received diets with added flavor (400 g/t Spicemaster GH 501). After weaning, 272 piglets from both groups were rehoused and given an early-grower feed, which was consistently supplemented in both groups with 400 g/t Spicemaster GH 501 throughout the whole trial. Strikingly, the trial group, which was prenatally exposed to the flavor, gained significantly more weight during the initial phase after weaning. Moreover, the trial group was less prone to develop ear tip necrosis and displayed an improved general health condition, which was reflected in a reduced number of antibiotic treatments during the duration of the trial. Collectively, the incorporation of flavoring compounds in the maternal diet provides a powerful mechanism to shape taste preferences in early-weaned piglets and conse-quently reduce stress levels and susceptibility to infections.
Piglets experience a high level of stress during the onset of the fattening phase due to changes in social structures and feeding. Incorporation of flavors in the feed supports constant levels of feed intake thus avoiding drops in performance. This study aimed to evaluate if a combination of vanilla and fruity flavors could maintain high interest in variable feeds across different ages. 384 crossbred (Topigs 20 x Piétrain) piglets were separated at weaning into two groups (eight pens per group: four pens with females and four pens with uncastrated males; 24 animals per pen), according to gender and weight. The control group received commercial starter feeds without flavor, while the other group received diets with added flavor (500 g/t Cuxarom Fruit 210, a sweetish, berry multifruit note combined with creamy vanilla). After 49 days, 264 animals from both groups were rehoused and given an early-grower feed with or without added flavor for 7 days. Consequently, animals from the trial group again received flavor-supplemented feed and vice versa. During the early-grower phase, the feed intake of the trial group was 11.2% higher than that of the control group. Moreover, the trial group gained significantly more weight during the early-grower phase (+12.2%) in comparison to the control group. This indicates that the animals prefer the flavor they were familiarized with during the starter phase. This memory effect leads to an increased feed intake and weight gain in early-grower pigs and can counteract drops in performance, particularly when mixing animals or transitioning.
Fütterung von Sportpferden
(2021)
Shredlage in der Bullenmast
(2021)
Fütterung von Jungpferden
(2021)
Fütterung von Zuchtstuten
(2021)
Boron dynamics in a peat-based growing medium and its impact on the growth of basil (Abstract)
(2021)
In this paper, we evaluate the application of Bayesian Optimization (BO) to discrete event simulation (DES) models. In a first step, we create a simple model, for which we know the optimal set of parameter values in advance. We implement the model in SimPy, a framework for DES written in Python. We then interpret the simulation model as a black box function subject to optimization. We show that it is possible to find the optimal set of parameter values using the open source library GPyOpt. To enhance our evaluation, we create a second and more complex model. To better handle the complexity of the model, and to add a visual component, we build the second model in Simio, a commercial off-the-shelf simulation modeling tool. To apply BO to a model in Simio, we use the Simio API to write an extension for optimization plug-ins. This extension encapsulates the logic of the BO algorithm, which we deployed as a web service in the cloud.
The fact that simulation models are black box functions with regard to their behavior and the influence of their input parameters makes them an apparent candidate for Bayesian Optimization (BO). Simulation models are multivariable and stochastic, and their behavior is to a large extent unpredictable. In particular, we do not know for sure which input parameters to adjust to maximize (or minimize) the model’s outcome. In addition, the complex models can take a substantial amount of time to run.
Bayesian Optimization is a sequential and self-learning algorithm to optimize black box functions similar to as we find them in simulation models: they contain a set of parameters for which we want to identify the optimal set, they are expensive to evaluate, and they exhibit stochastic noise. BO has proven to efficiently optimize black box functions from varius disciplines. Among those, and most notably, it is successfully applied in machine learning algorithms to optimize hyperparameters.
Studies on nutrition have historically concentrated on food-shortages and over-nutrition. The physiological states of feeling hungry or being satiated and its dynamics in food choices, dietary patterns, and nutritional behavior, have not been the focus of many studies. Currently, visual analytic using easy-to-use tooling offers applicability in a wide-range of disciplines. In this interdisciplinary pilot-study we tested a novel visual analytic software to assess dietary patterns and food choices for greater understanding of nutritional behavior when hungry and when satiated. We developed software toolchain and tested the hypotheses that there is no difference between visual search patterns of dishes 1) when hungry and when satiated and 2) in being vegetarian and non-vegetarian. Results indicate that food choices can be deviant from dietary patterns but correlate slightly with dish-gazing. Further, scene perception probably could vary between being hungry and satiated. Understanding t he complicated relationship between scene perception and nutritional behavioral patterns and scaling up this pilot-study to a full-study using our introduced software approaches is indispensable.
To assess the effect of intercropping on malting quality a field trial with spring barley (Hordeum vulgare) and legume (pea) as well as non-legume (camelina and linseed) intercrops in two additive seeding ratios as well as sole cops was established in 2017 at the organic experimental station of University of Applied Sciences Osnabrück in North-Western Germany. Two tested malting barley cultivars (cv. Marthe and cv. Odilia) showed different performance, but all variants achieved brewing quality. Results after two years indicate that linseed and camelina were able to limit protein content. For best land-use efficiency of malting barley production intercropping with linseed showed best results. Mixed intercropping can help to promote internal efficiency loops and is therefore a promising sustainable intensification strategy for more resilient future crop production under changing climate conditions.
Nitrogen (N) pollution of groundwater bodies is often a result of high livestock densities combined with use of mineral N fertilisers in Northwest Germany, specifically in combination with sandy soils and high amounts of precipitation. Organic agriculture is discussed as an alternative management practice reducing nitrogen losses due to area-based livestock densities and waiving of mineral N fertilisers. A field trial with integrated ceramic suction cups over three years showed potential for reduced N loads under conventional management specifically with organic fertilisation. Now, the field trial is under transition into organic farming with promising additional benefits for drinking water quality and the great potential to develop optimised N management strategies.