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      Benchmarking calf health: Assessment tools for dairy herd health consultancy based on reference values from 730 German dairies with respect to seasonal, farm type, and herd size effects

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          Abstract

          Good calf health is crucial for a successfully operating farm business and animal welfare on dairy farms. To evaluate calf health on farms and to identify potential problem areas, benchmarking tools can be used by farmers, herd managers, veterinarians, and other advisory persons in the field. However, for calves, benchmarking tools are not yet widely established in practice. This study provides hands-on application for on-farm benchmarking of calf health. Reference values were generated from a large dataset of the “PraeRi” study, including 730 dairy farms with a total of 13,658 examined preweaned dairy calves. At herd level, omphalitis (O, median 15.9%) was the most common disorder, followed by diarrhea (D, 15.4%) and respiratory disease (RD, 2.9%). Abnormal weight bearing (AWB) was rarely detected (median, 0.0%). Calves with symptoms of more than one disorder at the same time (multimorbidity, M) were observed with a prevalence of 2.3%. The enrolled farms varied in herd size, farm operating systems, and management practices and thus represented a wide diversity in dairy farming, enabling a comparison with similar managed farms in Germany and beyond. To ensure comparability of the data in practice, the reference values were calculated for the whole data set, clustered according to farm size (1–40 dairy cows ( n = 130), 41–60 dairy cows ( n = 99), 61–120 dairy cows ( n = 180), 121–240 dairy cows ( n = 119) and farms with more than 240 dairy cows ( n = 138), farm operating systems (conventional ( n = 666), organic ( n = 64)) and month of the year of the farm visit. There was a slight tendency for smaller farms to have a lower prevalence of disorders. A statistically significant herd-size effect was detected for RD ( p = 0.008) and D ( p < 0.001). For practical application of these reference values, tables, diagrams, and an Excel ® (Microsoft ®) based calf health calculator were developed as tools for on-farm benchmarking ( https://doi.org/10.6084/m9.figshare.c.6172753). In addition, this study provides a detailed description of the colostrum, feeding and housing management of preweaned calves in German dairy farms of different herd sizes and farm type (e.g., conventional and organic).

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          Interval Estimation for a Binomial Proportion

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            Colostrum Management for Dairy Calves

            Colostrum management is the single most important management factor in determining calf health and survival. Additional benefits of good colostrum management include improved rate of gain and future productivity. Successful colostrum management requires producers to provide calves with a sufficient volume of clean, high-quality colostrum within the first few hours of life. This article reviews the process of colostrogenesis and colostrum composition, and discusses key components in developing a successful colostrum management program. In addition, the article discusses approaches for monitoring and proposes new goals for passive immunity in dairy herds.
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              Disease Management of Dairy Calves and Heifers

              This article focuses on the most important diseases of dairy calves and heifers and presents clinical approaches that can improve detection, diagnosis, and treatment of herd-based problems. A systematic herd investigation strategy is pivotal to define the problems, understand important risk factors, develop a plan, and make recommendations for disease management accurately. A review of records, colostrum and feeding routines, housing and bedding management, routine procedures, vaccination, and treatment protocols begins the investigation and determines which diagnostic procedures and testing strategies are most useful. Disease management is most effective when the problem source is well defined and the exposure can be limited, calf immunity can be enhanced, or a combination of both. Screening examinations performed regularly or done at strategic time points improves detection of disease, can be used to monitor treatment outcomes, and can avoid disease outbreaks.
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                Author and article information

                Contributors
                Journal
                Front Vet Sci
                Front Vet Sci
                Front. Vet. Sci.
                Frontiers in Veterinary Science
                Frontiers Media S.A.
                2297-1769
                23 September 2022
                2022
                : 9
                : 990798
                Affiliations
                [1] 1Clinic for Cattle, University of Veterinary Medicine Hannover , Foundation, Hannover, Germany
                [2] 2Department of Veterinary Medicine, Institute for Veterinary Epidemiology and Biostatistics, Freie Universität Berlin , Berlin, Germany
                [3] 3Behavioral Physiology of Livestock, Institute of Animal Science, University of Hohenheim , Stuttgart, Germany
                [4] 4Clinic for Ruminants With Ambulatory and Herd Health Services, Centre for Clinical Veterinary Medicine , Oberschleissheim, Germany
                [5] 5Department of Veterinary Medicine, Clinic for Ruminants and Swine, Freie Universität Berlin , Berlin, Germany
                [6] 6VetZ GmbH , Isernhagen, Germany
                Author notes

                Edited by: Gabriella Guelfi, University of Perugia, Italy

                Reviewed by: Martin G. Maquivar, Washington State University, United States; Kristen Parker Gaddis, Council on Dairy Cattle Breeding, United States

                *Correspondence: Martina Hoedemaker martina.hoedemaker@ 123456tiho-hannover.de

                This article was submitted to Animal Behavior and Welfare, a section of the journal Frontiers in Veterinary Science

                †These authors have contributed equally to this work

                Article
                10.3389/fvets.2022.990798
                9539667
                36213417
                d43b4395-6046-4370-a93f-185ebfa6d71c
                Copyright © 2022 Dachrodt, Bartel, Arndt, Kellermann, Stock, Volkmann, Boeker, Birnstiel, Do Duc, Klawitter, Paul, Stoll, Woudstra, Knubben-Schweizer, Müller and Hoedemaker.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 10 July 2022
                : 22 August 2022
                Page count
                Figures: 2, Tables: 13, Equations: 0, References: 68, Pages: 18, Words: 12706
                Funding
                Funded by: Bundesministerium für Ernährung und Landwirtschaft, doi 10.13039/501100005908;
                Award ID: 2814HS006
                Award ID: 2814HS007
                Award ID: 2814HS008
                Categories
                Veterinary Science
                Original Research

                diarrhea,bovine respiratory disease,omphalitis,organic farming,benchmarking tool,animal wellbeing and welfare,calf disease

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