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At the dairy farm
\"Taking care of cows isn't always easy, but the reward is great: milk! Dairy farms are an important food source. This book takes a look at how cows live on dairy farms. From grazing in fields to life in the barn and how they are milked, young readers will love learning about these amazing animals and how they help give us food\"--Provided by publisher.
Book
Innovations in Cattle Farming: Application of Innovative Technologies and Sensors in the Diagnosis of Diseases
Precision livestock farming has a crucial function as farming grows in significance. It will help farmers make better decisions, alter their roles and perspectives as farmers and managers, and allow for the tracking and monitoring of product quality and animal welfare as mandated by the government and industry. Farmers can improve productivity, sustainability, and animal care by gaining a deeper understanding of their farm systems as a result of the increased use of data generated by smart farming equipment. Automation and robots in agriculture have the potential to play a significant role in helping society fulfill its future demands for food supply. These technologies have already enabled significant cost reductions in production, as well as reductions in the amount of intensive manual labor, improvements in product quality, and enhancements in environmental management. Wearable sensors can monitor eating, rumination, rumen pH, rumen temperature, body temperature, laying behavior, animal activity, and animal position or placement. Detachable or imprinted biosensors that are adaptable and enable remote data transfer might be highly important in this quickly growing industry. There are already multiple gadgets to evaluate illnesses such as ketosis or mastitis in cattle. The objective evaluation of sensor methods and systems employed on the farm is one of the difficulties presented by the implementation of modern technologies on dairy farms. The availability of sensors and high-precision technology for real-time monitoring of cattle raises the question of how to objectively evaluate the contribution of these technologies to the long-term viability of farms (productivity, health monitoring, welfare evaluation, and environmental effects). This review focuses on biosensing technologies that have the potential to change early illness diagnosis, management, and operations for livestock.
Journal Article
Milk
When most people think of dairy farms, they likely picture green meadows where cows graze between milking sessions. Unfortunately, the vast majority of dairy cows do not lead such peaceful lives. Readers will learn how large commercial dairies do everything they can to produce as much milk as possible. They will also find out how poor farming practices can affect milk quality and harm the environment, as well as how they can choose dairy products responsibly.
Book
Validation of a Commercial Automated Body Condition Scoring System on a Commercial Dairy Farm
Body condition scoring (BCS) is the management practice of assessing body reserves of individual animals by visual or tactile estimation of subcutaneous fat and muscle. Both high and low BCS can negatively impact milk production, disease, and reproduction. Visual or tactile estimation of subcutaneous fat reserves in dairy cattle relies on their body shape or thickness of fat layers and muscle on key areas of the body. Although manual BCS has proven beneficial, consistent qualitative scoring can be difficult to implement. The desirable BCS range for dairy cows varies within lactation and should be monitored at multiple time points throughout lactation for the most impact, a practice that can be hard to implement. However, a commercial automatic BCS camera is currently available for dairy cattle (DeLaval Body Condition Scoring, BCS DeLaval International AB, Tumba, Sweden). The objective of this study was to validate the implementation of an automated BCS system in a commercial setting and compare agreement of the automated body condition scores with conventional manual scoring. The study was conducted on a commercial farm in Indiana, USA, in April 2017. Three trained staff members scored 343 cows manually using a 1 to 5 BCS scale, with 0.25 increments. Pearson’s correlations (0.85, scorer 1 vs. 2; 0.87, scorer 2 vs. 3; and 0.86, scorer 1 vs. 3) and Cohen’s Kappa coefficients (0.62, scorer 1 vs. 2; 0.66, scorer 2 vs. 3; and 0.66, scorer 1 vs. 3) were calculated to assess interobserver reliability, with the correlations being 0.85, 0.87, and 0.86. The automated camera BCS scores were compared with the averaged manual scores. The mean BCS were 3.39 ± 0.32 and 3.27 ± 0.27 (mean ± SD) for manual and automatic camera scores, respectively. We found that the automated body condition scoring technology was strongly correlated with the manual scores, with a correlation of 0.78. The automated BCS camera system accuracy was equivalent to manual scoring, with a mean error of −0.1 BCS and within the acceptable manual error threshold of 0.25 BCS between BCS (3.00 to 3.75) but was less accurate for cows with high (>3.75) or low (<3.00) BCS scores compared to manual scorers. A Bland–Altman plot was constructed which demonstrated a bias in the high and low automated BCS scoring. The initial findings show that the BCS camera system provides accurate BCS between 3.00 to 3.75 but tends to be inaccurate at determining the magnitude of low and high BCS scores. However, the results are promising, as an automated system may encourage more producers to adopt BCS into their practices to detect early signs of BCS change for individual cattle. Future algorithm and software development is likely to increase the accuracy in automated BCS scoring.
Journal Article
Selection indexes in terms of functional features in modern dairy cattle breeding in Europe
The increase in demand for dairy products requires continued progress in dairy farming for a sustainable supply. Europe, known as the world's leading milk producer, plays a key role in meeting this growing demand. Modern dairy farming has moved beyond its historical focus on milk yield and now focuses on functional traits such as udder health, fertility and calf survival. As a result, selection indicators have become essential tools, combining multiple attributes to support selective decisions. However, these rates show considerable variability across countries, reflecting their distinct breeding goals. Poland's production and functionality (PF) Index emphasizes production and functional traits to enhance dairy cattle. Portugal uses the total economic merit (M€T) and total performance index (IPT) for a broader assessment covering a wider range of traits. Ukraine is transitioning towards a more comprehensive breeding system incorporating stress tolerance and longevity. Factors such as climate change and the need for sustainable practices drive this evolution, underscoring the economic importance of traits beyond mere production. Future trends may include features such as feed efficiency, methane emissions reduction and stress resistance. Diverse breeding objectives across countries lead to different selection index constructions, essential for effective selection, ranking and breeding of superior individuals. This comprehensive review offers insight into constantly evolving dairy farming strategies in Europe, with a focus on Poland, Portugal and Ukraine, while highlighting the key role of functional traits in shaping the future of dairy farming.
Journal Article
Perception and acceptance of robots in dairy farming—a cluster analysis of German citizens
Societal attitude acceptance can influence the digital transformation in agriculture. Digital technologies, such as robots in dairy farming, can lead to more sustainable, animal welfare-friendly and consumer-oriented milk production. This study used the example of the milking and feeding robots to investigate whether society accepts the use of robots in dairy farming and whether there are differences in society based on perceived risks and opportunities of digitalization in dairy farming and acceptance. To this end, an online-based study was conducted with a total of 1007 citizens in Germany. Overall, the respondents in this study suspect that the use of robots in dairy farming is associated with various risks but also with opportunities for society and for farmers in particular. However, these attitudes are quite heterogeneous. Four clusters could be identified: “proponents of robots”, “indifferent citizens”, “skeptical citizens”, and “critical supporters of robots”. Proponents of robots see only opportunities and little risks, whereas the critical citizens perceive not only opportunities but also many risks of using robots in dairy farming. The indifferent citizens show a rather indifferent attitude, in contrast to the skeptical citizens, who reject the opportunities at the societal level, while they agree with the opportunities of robots for farmers. This research contributes to understanding societal attitudinal acceptance and highlights differences in society that can help inform future decisions about the development and adoption of robots in dairy farming.
Journal Article
Reinventing the wheel : milk, microbes, and the fight for real cheese
\"Reinventing the Wheel is equal parts popular science, history, and muckraking. Over the past hundred and fifty years, dairy farming and cheesemaking have been transformed, and this book explores what has been lost along the way. Today, using cutting-edge technologies like high-throughput DNA sequencing, scientists are beginning to understand the techniques of our great-grandparents. The authors describe how geneticists are helping conservationists rescue rare dairy cow breeds on the brink of extinction, microbiologists are teaching cheesemakers to nurture the naturally occurring microbes in their raw milk rather than destroying them, and communities of cheesemakers are producing \"real\" cheeses that reunite farming and flavor, rewarding diversity and sustainability at every level.\"--Provided by publisher.
Book
Transforming the feeding regime towards low-input increases the environmental impact of organic milk production on a case study farm in central germany
Purpose
Despite the direct effect of the feeding regime on the environmental impacts of dairy farming systems, its level of intensity, particularly in organic systems, has rarely been investigated. This study compares the environmental impact of a high-input feeding regime with a grassland-based, low-input feeding regime scenario within an organic milk production system conducted on Gladbacherhof, the research farm of Justus Liebig University Giessen, in Central Germany.
Methods
An integrated Life Cycle Assessment (LCA) analysis was performed from a cradle-to-farm gate perspective to quantify five environmental impacts, namely Global Warming (GW), Non-Renewable Energy Use (NREU), Land Use (LU), Terrestrial Acidification (TA), and Freshwater Eutrophication (FE). All agronomic data of the Gladbacherhof research farm, averaged over the years 2010–2017, were included. When not directly measured on the farm, ecoinvent data were included.
Results and discussion
Contrary to our hypothesis, the results suggest that a grassland-based low-input system has a higher environmental impact as compared to a high-input system for each of the five impact categories when using fat and protein-corrected milk (FPCM) as the functional unit. A 50% reduction in concentrates and exclusion of maize silage from the feed ration in the modelled low-input production system lead to a 20% drop in milk yield. To balance the energy content in low-input feeding ration, longer grazing period and higher amount of hay, alfalfa, and grass silage are required. This in turn results in higher emissions from enteric fermentation, manure management, and feed production and hence in higher environmental impact, particularly for GW, TA, and FE.
Conclusions
This study is one of the few that directly explores the environmental impact of feeding intensity in an organic milk production system. Nevertheless, there is a lack of research on consolidated emission factors for several greenhouse gas (GHG) sources in organic livestock and cropping systems to perform more robust carbon footprint calculations that comply with the Intergovernmental Panel on Climate Change (IPCC) Tier 3 GHG reporting guidelines. To generalize the results at the regional or national scale, direct comparisons with a larger number of organic farms representative of high-input and low-input intensities are still essential.
Journal Article