Effect of different technologies and animal manures on solid-liquid separation efficiencies

Solid-liquid separation is a widely used manure treatment option. However, little information is available to predict separator performance in a specific operating condition. This study investigates the effect on the separation efficiency of animal species (cattle and swine), use of flocculants, and separator construction and operating characteristics (filtration, pressurised filtration, settling and centrifugation). Using data available from published experiments, we evaluated correlations of the separation efficiencies with the physical and chemical characteristics of the inlet slurries (dry matter, total nitrogen, ammoniacal nitrogen, phosphorus and potassium). Dry matter concentration of the input manure was found to be the best parameter used to calculate and validate regression equations. Regres sions for the operating conditions of 7 of the 14 subgroups evaluated were significant (P<0.05) for at least one parameter. Pressurised filtration seems to be the process best represented by these regressions that can predict dry matter and nitrogen efficiency with relative root mean squared errors of less than 50%. However, they could only be used for some of the parameters and separation techniques. Therefore, it was not possible to use the available experimental data to define and validate empirical predictive models for all the conditions. Specific studies are needed to define more precise and physically-based models

Influence of feed delivery frequency on behavioural activity of dairy cows in freestall barns

Research on feeding management in more competitive free-stall settings indicates that frequency of delivery of fresh feed stimulates feed bunk attendance and can affect other aspects of cows’ time budgets apart from feeding such as time spent standing vs. lying down. The objective of this study was to examine how the frequency of feed delivery affects the behavior in two farms, one with a conventional and one with automatic milking system (AMS). The feeding frequency was varied from two to three times per day in the conventional dairy farm; one to two times per day in the AMS farm. The experiment was carried out in two different seasons. All behaviours of the cows were monitored in continuous by video recording. As expected, behavioral indices have been significantly affected by environmental conditions both in conventional farm and AMS farm. The variation in the frequency of feed delivery seems to affect the cow behavioural activity only in a limited way and modify only slightly the daily averages of the time spent in different activities mainly increasing the time cows spend standing (+4- 5%)

Relationships among lying and standing behaviour, body condition score and milk production in primiparous cows

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Environmental assessment of individual and collective manure management systems

In intensive livestock area with large nutrient surplus collective management systems can be a suitable solution. However, the collective system should carefully evaluated for environmental sustainability to avoid cross effects. The aim of this study was to evaluate the environmental effects of the introduction of a collective treatment plant for energy production and nitrogen removal. For this purpose an assessment methodology, for individual farms and collective treatments plants, has been defined to estimate the emissions of the main pollutants to the air (CO2, CH4, N2O, NH3) and to the soil (N). The method devised has been assessed in a case study (a treatment plant collecting manure from 12 farms). The main effect of the introduction of the collective management system from the environmental point of view is a reduction of greenhouse gases emissions of 61% due to methane emission reduction and renewable energy production. Furthermore, it reduces the amount of nitrogen to be applied to land from 430 kg ha-1 to about 220 kg ha-1, decreases the emission of ammonia in the air by about 17% due to lower amount of nitrogen that is managed by farms in the storage and spreading operations

Real-time automatic integrated monitoring of barn environment and dairy cattle behaviour: Technical implementation and evaluation on three commercial farms

Due to increasing herd sizes and automation on dairy farms there is an important need for automated monitoring of cow production, health, and welfare. Despite much progress in automatic monitoring techniques, there is still a need to integrate data from multiple sources to create a comprehensive overview and accurate diagnosis of a cow’s state. To aid the technological development of data integration, a prototype of an open and customizable automatic system that integrates data from multiple sensors relating to barn environment and cow behaviour was developed. The system integrates data from sensors that measure barn climate (e.g., temperature, humidity, wind speed), air quality (e.g., CO2 concentration), water use and temperature, the moisture and temperature of the litter and cow behaviour (e.g., lying, eating, ruminating). An external weather system and video recording system are also included. The system’s architecture consists of four main elements: sensors, nodes, gateways, and backend. The data are recorded by sensors, then locally processed on custom-developed sensor nodes, and then transmitted via radio channels to local gateways that combine the data from multiple nodes and transmit them to distributed digital storage (“the cloud”) via a 3G/4G cellular network. On the cloud, the data are further processed and stored in a database. The data are then presented to the user continuously and in real time on a dashboard that can be accessed via the internet. In the design of the local wireless network, care was taken to avoid data packet collision and thus to minimize data loss. To test the system’s performance, the system was installed and operated on three commercial dairy cattle farms for one year. The system provided high data stability with minimal loss and outliers, showing that the system is reliable and suitable for long term application on commercial dairy farms. The system’s architecture, communication network, and data processing and visualization applications form an open framework for research and development purposes, allowing it to be customized and fine-tuned before being deployed as a management assistant on commercial dairy farms. Missing elements that should be added in the future are the integration of the data from the milking parlour and cow identification. Algorithms to integrate information from multiple sensors can be added to provide a comprehensive system that monitors all aspects related to cow welfare, health, and production automatically, remotely and in real time, thereby supporting farmers in important management decision-making

Insights about the Choice of Pig Manure Processing System in Three Italian Regions: Piemonte, Friuli Venezia Giulia, and Veneto

The adoption of best available technologies (BATs) by the livestock sector has a fundamental role in developing a sustainable agricultural system. Italy is the EU member with the highest percentage of manure treated, but processing facilities are regionally scattered and the adoption of BATs is far from being scaled-up. The adoption is a matter of multicriteria decision-making and full knowledge on how to foster the transition is still lacking. The present research aims to deepen the available knowledge by analysing the perception of 40 pig farm managers about decision criteria behind the adopted manure management system across three different Italian regions. We assessed farms in Piemonte, Friuli Venezia Giulia, and Veneto. All farms have adequate storage facilities, but 82.5% adopt no processing technique. The two most important decision criteria are economic, i.e., the minimization of treatment and spreading costs. The emerging picture allows us to conclude that BAT adoption is still adopted as a mere consequence of legal obligation. Economic constraints prevail as there is a lack of information and uncertainty. Clear perspectives and recognition of virtuous behavior prevent farmers from making decisions based on environmental or social criteria. Therefore, effective policies oriented to fill these gaps are needed to accelerate the transition towards sustainability

Guía de buenas prácticas para la fertilización. Aplicación a la fertirrigación con fracción líquida de purines y digerido

El proyecto LIFE ARIMEDA ha recibido fondos del programa LIFE de la Unión EuropeaPublishe

Treatment of swine manure: case studies in European’s N-surplus areas

In this study, eight different manure treatment plants were monitored. The plants were four on-farm and four centralized treatment plants, all of them at full-scale level. Assessment includes a total of seven pre-treatment and process units as follows: mechanical separation, with and without coagulant and flocculant addition, pasteurization, nitrification-denitrification, anaerobic digestion, and composting. The plants are located in nutrient surplus areas of three European Member States (Spain, Italy and Denmark), the majority of these areas being Nitrate Vulnerable Zones (NVZ). Results presented herein are data collected over a six-month period and comprise performance data of the treatment plants, pathogen indicators (E.coli and Salmonella) and greenhouse gas (GHG) emissions data under two scenarios: 1) the baseline scenario and 2) the treatment plant scenario. The assessment includes GHG emissions of the storage facilities, transportation, and subsequent intermediate storage, electric consumption, electric production, composting, and land application. All treatment plants studied generated a significant reduction in GHG emissions (between 53 and 90 %) in comparison to the baseline scenario. Organic matter and total solids (TS) content in manure were also greatly reduced, with values ranging between 35-53 % of chemical oxygen demand (COD) and, 24-61 % of TS for anaerobic digestion (AD) treatment plants, 77-93 % COD and 70 % TS in the case of AD combined with nitrogen (N)-removal unit plants. Nitrogen concentrations were also greatly reduced (between 65-85 %) total Kjeldahl nitrogen (TKN) and 68-83 % ammonium (NH4+-N)) in plants with N-removal units

Greenhouse gas and ammonia emissions from slurry storage: impacts of temperature and potential mitigation through covering (pig slurry) or acidification (cattle slurry)

Storage of livestock slurries is a significant source of methane (CH4) and ammonia (NH3) emissions to the atmosphere, for which accurate quantification and potential mitigation methods are required. Methane and NH3 emissions were measured from pilot-scale cattle slurry (CS) and pig slurry (PS) stores under cool, temperate, and warm conditions (approximately 8, 11, and 17°C, respectively) and including two potential mitigation practices: (i) a clay granule floating cover (PS) and (ii) slurry acidification (CS). Cumulative emissions of both gases were influenced by mean temperature over the storage period. Methane emissions from the control treatments over the 2-mo storage periods for the cool, temperate, and warm periods were 0.3, 0.1, and 34.3 g CH4 kg−1 slurry volatile solids for CS and 4.4, 20.1, and 27.7 g CH4 kg−1 slurry volatile solids for PS. Respective NH3 emissions for each period were 4, 7, and 12% of initial slurry N content for CS and 12, 18, and 28% of initial slurry N content for PS. Covering PS with clay granules reduced NH3 emissions by 77% across the three storage periods but had no impact on CH4 emissions. Acidification of CS reduced CH4 and NH3 emissions by 61 and 75%, respectively, across the three storage periods. Nitrous oxide emissions were also monitored but were insignificant. The development of approaches that take into account the influence of storage timing (temperature) and duration on emission estimates for national emission inventory purposes is recommended