Browsing by Person "Schick, Matthias"

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    Einfluss von automatischen Fütterungsverfahren in der Milchviehhaltung auf das Tierverhalten und die Futterqualität
    (2015) Grothmann, Anne; Schick, Matthias
    Automatic feeding of upgraded mixed rations and total mixed rations is becoming more and more important in dairy farming. This feeding method enables the fully automatic dispensing of the basic feed ration, or a mixed ration consisting of basic ration and concentrate. In this way, different mixed rations and more-frequent feed provision per day are possible without an increase in either working-time requirement or workload. According to manufacturers’ claims, more-frequent feed provision by automatic feeding methods is meant to enable better feed hygiene and less feed loss, besides a significant easing of workload. In addition, it is supposed to encourage the natural feeding behaviour of the animals, thereby maintaining their health. As part of this project, various feed-provision frequencies with the automatic feed method and their influence on the animals’ performance and behaviour parameters were investigated. In addition, automatic provision was compared with feed provision by feed mixer. Influence on feed consumption, feeding and ruminating behaviour, milk yield and constituents, and lying behaviour were recorded on the Agroscope Research Station experimental farm in Tänikon. The experiments on feed consumption and lying behaviour of the animals were supplemented by additional data surveys on six commercial farms. We also investigated how the feed quality and hygiene of maize silage is affected during 48 hours’ storage in the storage containers of the feeding system at different temperatures. The aim was to obtain essential, scientifically substantiated findings on the operation of automatic feeding processes and their effects on the animal and on feed quality. For this, maize silages from three different conservation processes (tower-silo, square-bale and bag-silo silage) were stored in the storage containers for a period of two days in both winter and summer and the temperature in the feed was measured via temperature sensors. In addition, samples were taken to determine the levels of yeasts, moulds and aerobic foreign bacteria, fermentation-acid content, and pH value at the time of filling and after two days’ storage. Aerobic stability was determined in order to characterise the raw material. The data obtained enable further optimisation of feed provision to the animals and of the farmer’s work schedule. In all experiments on feeding frequency, a higher number of feedings was observed to result in higher feed intake. Moreover, a high number of feedings had no significant influence on dairy-cow behaviour such as eating and ruminating behaviour and lying behaviour. In all the experiments conducted on both the experimental farm and on the commercial farms, duration of feeding and rumination were very similar, although feed intake per animal and day were different. The variation between farms was significantly smaller than within the individual farms between the animals. In one experiment, both milk yield and ECM rose along with increasing DM intake. The results of the feed-quality and hygiene experiments showed that temperature can be a first indicator of the onset of spoilage, but is not sufficient as the sole parameter. In the winter, the temperature in the feed remained constant for all three maize conservation methods. In the summer, even after a short while a sharp rise in feed temperature was found in several cases in the tower-silo and bag-silo silage, whilst the temperature remained constant in the square-bale silage. These results were reflected in both the pH value and the microbiological analyses. In summer, the number of colony-forming units of yeasts, moulds and aerobic foreign bacteria in the feed rose by leaps and bounds. The only exception was the square-bale silage. In the bag-silo silage, a sharp rise in yeasts was observed both in summer and winter. Compared to the square-bale silage, the non-compacted stored silages ran a greater risk of rapid spoilage. Storage of non-compacted maize silage in the storage containers for a period of two days during warm temperatures led to a reduction in silage quality and hygiene. In this instance, the microbiological baselines were higher than those of the other silages and those of the experiments in winter. The reason for this was the influence of oxygen and temperature on the silo face. Automatic feeding methods enable increased feed intake and a lower number of crowded feeding times, as well as higher milk yield. When feed is stored, both air access and ambient temperature exert a substantial influence on the state of the silage. Based on the results of the experiments described here, storage of maize silage over a period of two days, especially in the summer, can only be recommended to a limited extent. With square-bale silage, two days’ storage in winter is possible. In all cases, good silage quality is of decisive importance for ensuring storage stability as well as animal health.
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    Investigating dairy cow welfare by optimizing pulsation cycles and improving activity measurements during milking from a technical perspective
    (2016) Blümel, Franziska Elisabeth; Schick, Matthias
    During machine milking, farmers often encounter milking problems even though milking machine constructions generally comply with the required international standards. The first aim of this thesis was to investigate the effect of two different durations of the closing and closed phase (c- and d-phase, respectively) on physical processes in the milking cluster. The second aim was to examine the effect of these c- and d-phases on milk removal and hind-leg activity. It was hypothesized that a prolonged c-phase (i.e. slower liner closing) might be gentler and more comfortable for the dairy cow than a short c-phase (i.e. faster liner closing). Consequently, this would lead to optimized milk removal and calmer dairy cow behavior in the milking parlor. Therefore, dairy cows were confronted randomly with two types of pulsation chamber cycles (Treatments A and B) for 12 milkings. The treatments differed in the durations of c- and d-phases. In Treatment A, the c-phase lasted 70 ms and the d-phase 330 ms, whereas in Treatment B, the c-phase lasted 130 ms and the d-phase 270 ms. Using a vacuum measuring device (MT52, BEPRO AG, Güttingen, Switzerland), measurements were taken during milking proceedings. Milk flow characteristics were recorded using milk flow meters (LactoCorder®, WMB AG, Balgach, Switzerland). Hind-leg activity was recorded during milking using accelerometers attached on the hind-legs (RumiWatch® pedometer, ITIN+HOCH GmbH, Liestal, Switzerland). Treatment B showed the following effects on parameters measured in the milking cluster compared with Treatment A: -Durations of open liner were on average 26.2 ms longer. -Durations of closing liner were on average 23.4 ms longer. -Pressure sum was on average 1 kPa lower. Treatment B showed the following effects on milk flow and hind-leg activity compared with Treatment A: -Cows produced 0.21 kg higher total milk yield. -Peak flow rate was 1.04 kg/min higher. This thesis showed that c-phase durations influence physical processes in the milking cluster and milk flow characteristics. A prolonged c-phase is not only beneficial for dairy cow’s health but also from an economic point of view. Statements regarding welfare improvements are rather difficult to make. In addition to the first and second aim of this thesis, the third aim was to examine the correlations of hind-leg activity with accelerometers attached to the hind-leg and to the milking cluster with direct observations. As restlessness during milking is considered as an important parameter for impairments of dairy cow welfare, a standardized measuring procedure for this behavior may be severe for detection of deficient milking conditions. It was assumed that the milking cluster is set in motion as hind-legs of dairy cows move, because the milking cluster is freely suspended on the cow’s udder. Therefore, an accelerometer attached to the milking cluster may measure the hind-leg activity of the dairy cow indirectly. This method could replace laborious attaching of accelerometers on the hind-legs of dairy cows and provide a standardized on-line measuring procedure. Therefore, measurements with accelerometers on hind-legs of dairy cows and on the milking cluster were taken once during morning and evening milkings for every cow. In addition, direct observations of dairy cows’ motion behavior during milking were made. The differentiation of hind-leg activity took place between active phases and inactive phases. Data from morning milkings were used to create an algorithm to validate data automatically from evening milkings. The correlation measurements of hind-leg activity were as follows: - The algorithm is defined as the number of observations using mean values + standard deviation + 0.2 m/s2. -Correlation “visually counted number of active phases from graphs” with “number of observations calculated with the algorithm from the milking cluster” was 97 % (morning milkings). -Correlation “number of active phases recorded with milking cluster using the algorithm” with “number of active phases using direct observations” was 74 %. -Correlation “number of active phases recorded with the hind-leg using the algorithm” with “number of active phases using direct observations” was 91 %. It was possible to develop a hind-leg activity measuring method, without attaching accelerometers on the hind-legs of dairy cows. With this novel method, costs and labor can be minimized and objective examination of animal behavior can be guaranteed. In a next step, it can be implemented in the milking parlor or in the automatic milking device as a diagnostic tool providing valuable information to the farmer and consultant in a management program.
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    Making milking easier : reducing physical strain of parlor workers during milking cluster attachment
    (2017) Cockburn, Marianne; Schick, Matthias
    Milking personnel have been affected by musculoskeletal disorders for many years. In parlor workers the shoulders, wrists and lower back are most affected. As the procedure of milking cluster attachment has been reported to be the most strenuous during milking, we took a three- step approach to reduce the physical strain of this task. In the first step, we used the computer-assisted recording and long-term analysis system (CUELA) to record flexion angles of multiple joints during milking. The posture of 30 milkers was evaluated on 15 farms. Milking parlor types evaluated included the Herringbone 30°, the Herringbone 50°, and the Parallel as well as the Rotary parlor. The 5th, 50th and 95th percentiles of the data recordings were classified against ISO Norms and it was found that joint flexion angles were concerning. The statistical analysis revealed a significant interaction between milking parlor type and a working height coefficient, which reflected the ratio between the subject’s height and the effective udder height (udder height + depth of pit). By using model predictions, we calculated working height coefficients that could improve joint flexion angles. These working height coefficients were calculated for each parlor type and used within the newly developed “milking health formula” to calculate the ideal depth of pit, under the consideration of the milker’s height, milking parlor type and udder height. As the working heights recommended within the milking health formula were relatively low for all parlor types, and the recommendations made for the Herringbone 30° were broad, we aimed to further validate our findings by using surface electromyography to monitor muscle contraction intensities of 16 milkers (nine females, seven males). The second step of this thesis was performed in a laboratory setting where the milking cluster was attached to an artificial udder. It was important to ensure that the milking health formula enabled a consistent setting of working heights for milkers of different body heights, as well as ensuring that lower working heights reduced muscle contraction intensities of the upper limb and shoulder muscles. The results showed that lower working heights decreased muscle contraction intensities of the shoulder muscles, but not of the lower and upper arms. Further, since the subjects body height had no effect on muscle contraction intensities, it can be concluded that the formula offers an effective way to set comparable working heights for milkers of different body heights. Posture of milkers is not only affected by working heights, but also by the horizontal reaching distance between the milker and the cows’ udder. It has recently been assumed that milking stall dimensions are currently too small for dairy cows and that they should be increased to ensure their welfare. This could however increase the reaching distance between the udder and the cow and thus negatively affect ergonomics. In the third step of the thesis, we therefore used surface electromyography, in both a Herringbone 30° and a Side by Side milking parlor, to investigate the effect of increased milking stall dimensions on muscle contraction intensities of the upper limb and shoulder muscles during milking. Nine male subjects milked 30 cows twice per parlor type, where the milking stall dimensions were large on one side of the milking parlor and standard sized on the other. Milking stall dimensions had no effect on muscular contraction intensities in the Side by Side parlor and a controversial effect in the Herringbone 30° parlor. The contraction intensities in the right lower and upper arm were higher when cows were milked in standard sized milking stalls, but were higher in the left upper arm when cows were milked in large milking stalls. The effect of milking stall dimensions on the work environment should therefore be further investigated. In conclusion, the current project has developed a method to calculate beneficial working heights for a variety of milking parlor types. These derived recommendations have been further validated and it was shown that lower working heights reduced muscular load of the shoulder muscles.
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    Measuring grazing behaviour of dairy cows : validation of sensor technologies and assessing application potential in intensive pasture-based milk production systems
    (2019) Werner, Jessica; Schick, Matthias
    Grazing is the natural feed intake behaviour of a cow. However, in the last century, intensive confinement systems with silage feeding and concentrate supplementation have replaced many extensive pasture-based milk production systems. Grazed grass is now acknowledged as the cheapest feed available as a consequence of rising machinery, labour and feeding costs. Thus there is a renewed interest in intensive pasture-based milking systems. In addition, policy objectives, societal expectations and environmental concerns have all supported reconsiderations for pasture-based milk production. Novel technology to aid measuring and managing grassland and cow grazing behaviour have the potential to facilitate improved performance. Until recently, sensor technologies for dairy farms were mainly developed for measuring feeding behaviour of housed cows. Adapting and calibrating these technologies to grazing context would therefore further support improved pasture-based dairying. In this thesis, two sensor technologies were validated against visual observation. The RumiWatch noseband sensor (Itin+Hoch, Switzerland) is a high precision technology designed for research applications. It can measure detailed grazing behaviour such as grazing bites, rumination chews, time spent grazing and time spent ruminating. The MooMonitor+ (Dairymaster, Ireland) is the second technology assessed in this thesis. It is a collar based accelerometer and is primarily designed for use on commercial farms. The initial development was for oestrus detection. It can now monitor grazing and rumination times. The results of the studies reported in this thesis revealed that both sensors were highly accurate compared to visual observation. The implementation of sensor technology on commercial dairy farms is still slow. This is especially true on pasture-based dairy systems. The management of grazing cows is thus largely not supported by technology. With increasing herd sizes and skilled labour shortages, sensor technology to support grazing management will likely improve some major dairy farm management challenges. A key factor in pasture-based milk production is the correct grass allocation to maximize the grass utilization per cow. Cow behaviour is indicative of the quantity and quality of feed available as well as animal performance, health and welfare. Thus, the measurement of cow grazing behaviour is an important management indicator. A further study of detailed individual grazing behaviour aimed to identify behavioural indicators of restricted versus sufficient availability of grass. Such objective measurement has potential since currently grass allocation is based on subjective eye measurements and calculations per herd. To identify behavioural indicators, a group of 30 cows in total were allocated a restricted pasture allowance of 60 % of their intake capacity. Their behavioural characteristics were compared to those of 10 cows with pasture allowance of 100 % of their intake capacity. The grazing behaviour and activity of cows was measured using the RumiWatchSystem, consisting of the noseband sensor and pedometer. The results showed that bite frequency was continuously higher for cows with a restricted grass allocation, but also rumination behaviour was affected by the restriction. This study contributes vital information towards developing a decision support tool for automated allocation of grass based on feedback from individual cows rather than herd based measurements. Further research activities should focus on identification of significant changes in grazing behaviour of cows at individual animal and herd level. This would allow implementation of specific thresholds to be used in decision support tools. After developing and validating the decision support tools, the application of automated solutions for grazing management can improve efficiency and productivity of pasture-based milk production systems.
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    RumiWatch - Development and assessment of a sensor-based behavior monitoring system for ruminants
    (2018) Zehner, Nils; Schick, Matthias
    Sustainable and competitive milk production is highly dependent on securing the performance potential, health and fertility of dairy cows. Therefore, farmers can benefit from sensor data of animal monitoring systems to improve health management and work processes in dairy farming. The research during this PhD thesis aimed to contribute to the development and evaluation of a scientifically validated, sensor-based animal monitoring system that comprises a device for measurement of ingestive behavior and a device for measurement of movement behavior in cattle that interact as a system with system-specific software. Further aim of this thesis was to evaluate application potentials for this animal monitoring system by means of calving prediction in dairy cows and measurement of chewing activity in horses. The underlying experimental work was structured into four separate studies. The aim of the first study was to develop and validate a novel scientific monitoring device for automated measurement of rumination and eating behavior in dairy cows. Research works for this study aimed to provide a complete and detailed technical specification of the functionality of this device and to perform a validation under field conditions in stable-fed cows. The objective of the second study was to develop and validate a novel algorithm to monitor lying, standing, and walking behavior based on the output of a triaxial accelerometer collected from loose-housed dairy cows. The third study aimed to use automated measurements of ingestive behavior obtained from the developed sensor device to develop and validate a predictive model for calving in dairy cows. The aim of the fourth study was to investigate the suitability and validity of the developed sensor system for automated measurement of chewing activity in horses. In conclusion, the RumiWatch noseband sensor and pedometer that were developed and validated in the current project represent a suitable measuring instrument for automated recording of ingestive and locomotor behavior in dairy cows. The system-specific software is suitable for research purposes and shows a high performance for classification of extended parameters of rumination, eating, lying, standing, and walking behavior. The achieved validation results indicate that the measuring performance satisfies scientific requirements. Further application potentials were demonstrated by means of automated calving prediction in dairy cows and automated measurement of chewing activity in horses. The development and validation of a predictive model for calving time using measurements of the RumiWatch noseband sensor revealed a high amount of false positive alerts that was prohibitive for application of the model in farming practice. However, the analyses showed that particularly parameters of ruminating behavior have predictive value and should be taken into consideration for future research on calving prediction models. Furthermore, it was successfully demonstrated that it is feasible to apply the RumiWatch noseband sensor to horses. The results of direct observation compared with the automatic measurement showed a very high overall agreement of the observed and automatically measured data and, after minor refinements, this measuring device has the potential to become a valuable and easy-to-use tool for equine research and management.