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Linstädt J, Thöne-Reineke C, Merle R. Animal-based welfare indicators for dairy cows and their validity and practicality: a systematic review of the existing literature. Front Vet Sci 2024; 11:1429097. [PMID: 39055860 PMCID: PMC11271709 DOI: 10.3389/fvets.2024.1429097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 06/18/2024] [Indexed: 07/28/2024] Open
Abstract
Animal welfare is of increasing importance, with consumers preferring animal products made with ethical practices due to growing awareness. This shift highlights the need for reliable methods to evaluate welfare. This systematic review aims to assess the validity of current animal-based welfare indicators for dairy cows to aid farmers and agricultural professionals in evaluating and improving welfare amidst the lack of a clear legislative definition. The literature search spanned five databases: CAB Direct, PubMed, Scopus, Google Scholar and Livivo, covering publications in English and German from 2011 to 2021. Specific search terms were employed, and abstracts were screened for relevance. Publications were categorized based on exclusion criteria, with a final verification process conducted by three independent scientists. Research highlights correlations between welfare measures, farm characteristics and innovative indicators like hair cortisol concentration. Farming systems and housing methods significantly affect welfare, with pasture-based systems generally resulting in reduced lameness and improved behavior. Proper housing design and management practices are important, as they influence indicators like lameness and cleanliness. Heart rate variability and heart rate monitoring provide insights into dairy cow stress levels during milking and other stressors, making them valuable for welfare assessment. Biomarker research emphasizes the need to balance productivity and health in breeding strategies, as high milk production alone does not indicate good welfare. Behavioral studies and the human-animal relationship are key to understanding welfare. Precision Livestock Farming offers real-time assessment capabilities, although validation is needed. Stress physiology is complex, and while cortisol measurement methods are promising, further research is necessary. Assessment tools like the Animal Needs Index and routine herd data analysis are valuable for identifying welfare concerns. Key findings highlight the WQ® protocol's effectiveness and versatility, the challenge of its time demands, and the DCF protocol's promise for more practical and efficient welfare assessments. Commercial animal welfare audits should prioritize easily observable indicators and herd records due to logistical constraints in measuring biomarkers or heart rate variability. This focus on easily accessible indicators, such as body condition score, lameness, claw health, cleanliness, and somatic cell count allows effective welfare assessments, enabling prompt action to enhance wellbeing.
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Affiliation(s)
- Jenny Linstädt
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
- Institute of Veterinary Epidemiology and Biostatistics, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Christa Thöne-Reineke
- Institute of Animal Welfare, Animal Behavior and Laboratory Animal Science, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
| | - Roswitha Merle
- Institute of Veterinary Epidemiology and Biostatistics, School of Veterinary Medicine, Freie Universität Berlin, Berlin, Germany
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Dallago G, Mauyenova N, Warner D, Cue R, Vasseur E. Using the Herd Status Index to remotely assess the welfare status of dairy herds based on prerecorded data. Animal 2022; 16:100641. [DOI: 10.1016/j.animal.2022.100641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 08/30/2022] [Accepted: 09/01/2022] [Indexed: 11/27/2022] Open
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Prevalence of infectious diseases on dairy farms classified on the basis of their biosecurity score. J Vet Res 2022; 66:103-107. [PMID: 35582484 PMCID: PMC8959684 DOI: 10.2478/jvetres-2022-0006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 01/31/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction The aim of the study was to investigate the relationship between biosecurity as scored on the Italian National Animal Welfare Reference Centre (Centro di Referenza Nazionale per il Benessere Animale – CReNBA) checklist and the prevalence of Mycobacterium avium subsp. paratuberculosis, Chlamydophila abortus and Neospora caninum on dairy farms located in Ragusa, Italy. Material and Methods The checklist was used to assign an animal welfare score to 31 dairy farms. Twenty-one farms with a moderate score (>33%, <66%) formed group 1, and 10 farms with a high score (>66%) were group 2. Blood samples were collected from all cows on each farm to investigate the titres of antibodies against the relevant pathogens. Two-way analysis of variance was applied to assess differences between the two experimental groups and the Mann–Whitney test was applied to evaluate prevalence differences in the tested parasites between the groups. Results All tested farms had a score that classified them as either good or excellent. A higher incidence of Neospora caninum was observed in group 1. The incidences of the other two parasites were no different between the two groups. Conclusion The CReNBA checklist represents an impartial, reproducible, functional and smart instrument based on risk analysis and assigns a farm a mathematical animal welfare score. Among the parasites tested for, only Neospora caninum had prevalence influenced by biosecurity. Our preliminary results highlighted the positive associations between good animal welfare, high levels of biosecurity, and the prevention of the infectious diseases caused by the parasites in our focus, which are common on dairy farms.
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Data-Based Variables Used as Indicators of Dairy Cow Welfare at Farm Level: A Review. Animals (Basel) 2021; 11:ani11123458. [PMID: 34944235 PMCID: PMC8698003 DOI: 10.3390/ani11123458] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 11/15/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary In recent years, the interest in the use of data from routine herd records in the monitoring of dairy welfare at farm level has increased. This review compiles 13 papers to outline the current potential of data-based variables for animal welfare monitoring. All the identified studies showed associations between data-based variables and farm-level dairy cow welfare and therefore provide a first indication of the possible use and suitability of data-based variables for welfare monitoring. However, we found that the definitions of animal welfare, its assessment on the farm, and the data-based variables varied considerably. Consequently, the current state of research does not allow a conclusive assessment of the potential of data-based variables for animal welfare monitoring. Therefore, future research is needed to clarify the potential of data-based variables. Harmonisation of the data-based variables and the use of valid measurements that reflect the multidimensionality of welfare could contribute to increased comparability between the studies. Abstract During the last years, the interest in data-based variables (DBVs) as easy-to-obtain, cost-effective animal welfare indicators has continued to grow. This interest has led to publications focusing on the relationship between DBVs and animal welfare. This review compiles 13 papers identified through a systematic literature search to provide an overview of the current state of research on the relationship between DBVs and dairy cow welfare at farm level. The selected papers were examined regarding their definition of animal welfare and classified according to this definition into three categories: (a) papers evaluating DBVs as predictors of animal welfare violations, (b) papers investigating the relationship between DBVs and animal-based measurements, and (c) papers investigating the relationship of DBVs to scores of welfare assessments like the Welfare Quality protocol or to overall welfare scores at farm level. In addition, associations between DBVs and indicators of animal welfare were extracted, grouped by the type of DBV, and examined for replications that may confirm the associations. All the identified studies demonstrated associations between DBVs and animal welfare. Overall, the first indications of a possible suitability of DBVs for predicting herds with animal welfare violations as well as good or poor animal welfare status were given. The evaluation of relationships between DBVs and animal-based measurements (ABMs) found mortality-based DBVs to be frequently associated with ABMs. However, owing to varying definitions of animal welfare, the use of different variants of DBVs, and different methods used to assess DBVs, the studies could only be compared to a limited extent. Future research would benefit from a harmonisation of DBVs and the use of valid measurements that reflect the multidimensionality of welfare. Data sources rarely investigated so far may have the potential to provide additional DBVs that can contribute to the monitoring of cow welfare at farm level.
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Mazza F, Scali F, Formenti N, Romeo C, Tonni M, Ventura G, Bertocchi L, Lorenzi V, Fusi F, Tolini C, Clemente GF, Guadagno F, Maisano AM, Santucci G, Candela L, Romeo GA, Alborali GL. The Relationship between Animal Welfare and Antimicrobial Use in Italian Dairy Farms. Animals (Basel) 2021; 11:ani11092575. [PMID: 34573541 PMCID: PMC8471712 DOI: 10.3390/ani11092575] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 12/22/2022] Open
Abstract
Information regarding the relationship between animal welfare (AW) and antimicrobial use (AMU) in dairy cows is limited. The current study aimed to investigate this relationship on Italian farms and to identify potential targets of AMU reduction. The study was performed at 79 Italian dairy farms housing over 15,000 cows during 2019. AW was scored with an on-farm protocol assessing farm management and staff training, housing systems, and animal-based measures. AMU was estimated using a defined daily dose per kg of animal biomass (DDDAit/biomass) for Italy. The median AW score was 73% (range: 56.6-86.8%). The median AMU was 4.8 DDDAit/biomass (range: 0-11.8). No relationship between the total AMU and AW was found. Management and staff training were positively associated with the use of the European Medicines Agency's category B antimicrobials, which are critical for human medicine, and with intramammary products for dry cow therapy. In those farms, antimicrobial stewardship should aim to reduce the category B antimicrobials and selective dry cow therapy. Our results underline the importance of implementing both an integrated monitoring system (AW, AMU, etc.) and antimicrobial stewardship tailored to the specific needs of each dairy farm.
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Affiliation(s)
- Francesca Mazza
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Federico Scali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Correspondence:
| | - Nicoletta Formenti
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Claudia Romeo
- Department of Food and Drug, Parma University, Via del Taglio 10, 43126 Parma, Italy;
| | - Matteo Tonni
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Giordano Ventura
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Luigi Bertocchi
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Valentina Lorenzi
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Francesca Fusi
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Clara Tolini
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Gian Filippo Clemente
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
- Centro di Referenza Nazionale per il Benessere Animale (CReNBA), Via Bianchi 7/9, 25124 Brescia, Italy
| | - Federica Guadagno
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Antonio Marco Maisano
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Giovanni Santucci
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
| | - Loredana Candela
- Italian Ministry of Health, Viale Giorgio Ribotta 5, 00144 Rome, Italy; (L.C.); (G.A.R.)
| | - Gianluca Antonio Romeo
- Italian Ministry of Health, Viale Giorgio Ribotta 5, 00144 Rome, Italy; (L.C.); (G.A.R.)
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell’Emilia Romagna ‘Bruno Ubertini’ (I.Z.S.L.E.R.), Via Bianchi 7/9, 25124 Brescia, Italy; (F.M.); (N.F.); (M.T.); (G.V.); (L.B.); (V.L.); (F.F.); (C.T.); (G.F.C.); (F.G.); (A.M.M.); (G.S.); (G.L.A.)
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