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Water retention properties of wood fiber based growing media and their impact on irrigation strategy
(2024)
Distribution of water and air in growing media during ebb-and-flow irrigation depends on water storage properties (water retention curve) and water transport properties (hydraulic conductivity) of the materials. Growing media with their high number of coarse pores are known to exhibit strong hysteresis, i.e., differences in the water retention properties during drying and wetting cycles. To account for potential ecological disadvantages of peat, wood fibers are commonly used as substitutes for peat in growing media. However, the wood fibers generally have higher air capacities and hydraulic conductivities and lower water capacities compared to peat which may results in necessary adaptions of the irrigation strategy. Tools to optimize irrigation systems are physically based water transport models, such as HYDRUS-1D, which is commonly used to describe water transport in soils, but not often for growing media. In this study, white peat and pure wood fibers were used to describe differences in their water retention behavior. Water retention curves (drying cycles) and hydraulic conductivities were measured with standard analytical procedures. Hysteresis of the water retention curves was analytically determined based on their capillary rise properties. The results were used with a modified HYDRUS-1D model to test model quality against measured water contents during ebb-and-flow irrigation cycles and to optimize the irrigation strategy for the different materials. The results showed that the model quality was sufficiently good only if the strong hysteresis of the water retention curves was considered during the simulation process. Different strategies were tested to modify ebb-and-flow irrigation (irrigation frequency, irrigation duration and irrigation height) in that way that the water suction in the root zone was similar to that of the peat material. Simulation results showed that significant improvements could only be reached by increasing the flooding depth in ebb-and-flow systems to ensure an optimum water supply of plants in the wood fiber based growing media.
Transition road maps – an investigative approach to map the daily life consumption of individuals
(2014)
The present paper aims at investigating an innovative approach to guide consumers’ daily life choices in Germany towards a more sustainable way of acting. This should be achieved by introducing a new concept: transition road maps. Transition road maps bear the capability of illustrating courses of consumption behaviour without being prohibitive. These schemes foster self-determined behaviour and encourage the consumer to rethink and restructure his or her habits of consumption, with a focus on sustainability. The innovative thought is, not to simply stick to the usual triad of spheres of activity, consisting of nutrition, mobility and housing. Instead further aspects of consumers’ daily routines are considered, such as leisure activities, time usage or financial activities. Moreover the transition road maps are based on a new ideology of combining and connecting the qualitative algorithm of time use, financial spending and resource impact of social practices in the area of private consumption. In the long-term, the transition road maps could e.g. be used in sustainability communication or consumer counselling.
The contribution follows the hypothesis that the concept of transformative resilience can be a driver in transdisciplinary processes bringing together landscape planning and landscape design. Combining processes of generating, structuring and spatializing knowledge on landscape functions and designing visions for sustainable landscapes on different scales benefits from the creative use of mappings.
German farmers are required by law to regularly self-assess the welfare of their animals. The project Q Check is aiming at developing a system that will assist farmers to objectively assess animal health and welfare in dairy cows. For this reason, a quarterly report will be compiled from animal-based key indicators to give an overview of the on-farm situation. The anonymised and aggregated reports can also be used for national animal welfare monitoring: Continuous collection of these key indicators enables the summary and publication of figures reflecting the current animal health and welfare status and progressions at federal state and at national level. Q Check is based on four data recording and analysis systems, which are already established in Germany and implemented on a national level. Out of these systems, the most suitable indicators to describe herd health have been selected by 215 experts within a twostage Delphi study. In addition, over 50 face-to-face interviews with stakeholders related to the German dairy sector have been performed in order to take into account the socio-scientific point of view. To complete the process, the selected indicators are currently being checked against mass data and hence tested for suitability regarding monitoring purposes. An automatic farm-specific evaluation of animal health, based on verified indicators, will provide support to farmers in fulfilling their legal requirements and in identifying weak points on the individual farms. A benchmarking system will be set up which will allow tracking the individual herd health indicators in the same farm in their course over time and compared with similar farms. These routinely provided horizontal and vertical statistics will facilitate targeted intervention and support objectified management decisions, implying that dairy farmers can benefit in several respects. In the course of the project, new tools for determining the risk of ketosis in the scope of milk recording will also be validated and implemented at national level to enhance monitoring of this major disease complex. The results of these nationwide, systematic investigations will contribute substantially to objectifying the discussion about the health and welfare situation of dairy cows.
This study identifies and evaluates factors for success in innovation work in the Bavarian dairy farming industry. The research is based on an analysis of innovation system theories and a comparison with innovation work in the Dutch dairy sector. Dutch dairy farming is characterized by high productivity and technical efficiency at the farm level. Moreover, important developments in dairy farming have originated in the Netherlands. Therefore, this study delves into the systemic background of the successful innovation work in the Netherlands and makes a comparison with Bavaria. The main result of this study is that innovation work in the Bavarian dairy farming sector is lacking in two respects: end-user (farmer) integration and within-sector cooperation.
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.
SimBO is a flexible framework for optimizing discrete event-driven simulations (DES) using sequential optimization algorithms. While specifically designed for Bayesian Optimization (BO) in the context of DES, SimBO can be applied to any black-box problem with other optimization algorithms. The framework consists of four encapsulated components - the black-box problem, the sequential optimization algorithm, a database for experiment configuration and results, and a web-based graphical user interface - that communicate via well-defined interfaces. Each component can be run in different environments, allowing for cooperation between different hardware- and software configurations. In our research context, SimBO’s architecture enabled BO algorithms to be run on a high-performance cluster with GPU support, while the simulation is executed on a local Windows machine using the Simio simulation software. The framework’s flexibility also makes it suitable for evolving from a research-focused tool to a production-ready, cloud-based optimization tool for modern algorithms.
Response of petunia to wood fibre amended peat substrate under ebb-and-flow irrigation (Abstract)
(2024)
Within the consortium “Experimentation Field Agro-Nordwest”, a practical concept for knowledge and technology transfer of digital competence in agriculture was created. For this purpose, the web-based e-learning system “SensX” was set up, consisting of videos, presentations and instructions. In addition, the classical e-learning concept was extended by data sets, student experiments and sensor data of plants acquired by a remote phenotyping robot. This resulted in a massive open online course (MOOC), which was tested with agricultural and biotechnology students in higher education at the University of Applied Sciences Osnabrück over two years. The evaluation process of “SensX” included an empirical survey, qualitative interviews of the participating students by an external institution and an evaluation of the concept by the lecturers.
The objective of this article is to prepare for the initial certification according to IFS Global Markets Food V3 at the Landshuter Brauhaus AG private brewery at the Ellermühle site, which is expected in August 2025, and to create the basis for a potential follow-up certification according to IFS Food. The IFS Global Markets Food Program V3 is a standardized, voluntary and non-accredited assessment program for food companies, both for retail and manufacturer brand products (IFS 2023, p. 10 f.). It is based on the specifications of the Global Markets Program developed in 2008 (GFSI 2023a; VDOE 2020, p. 620).
The methodology of the target/actual analysis was used to work on the topic in order to be able to carry out a conformity check with regard to the requirements of IFS Global Markets Food V3 (see Appendix 3; IFS 2023). Observations, document analyses and employee surveys were carried out to obtain the most meaningful information possible. These have been recorded and evaluated within the target-performance analysis. A total of 65 deviations (equivalent to 53.7%) were identified at the basic level, and 60 deviations (equivalent to 82.2%) at the intermediate level. These were either processed as directly implemented corrective actions or formulated as recommendations for continuous improvement in the form of an action plan (see Appendix 15). The presentation of the action plan shows the deviations, the resulting measures, the associated responsibilities, the time period with the starting point and end point of the measures, and the current status. In addition a subdivision into "Basic" and "+Intermediate" was made for a better overview in the subsequent processing by the brewery.
A review as well as assessment of relevant requirements with regard to processes and significant violations after completion of the new building and commissioning at the Ellermühle site with regard to correlation with a potential "major" rating is recommended on the part of the operations manager or brewmaster (IFS 2023, p. 30).
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.