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      Developing an Animal Welfare Assessment Protocol for Cows in Extensive Beef Cow-Calf Systems in New Zealand. Part 2: Categorisation and Scoring of Welfare Assessment Measures

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          Abstract

          Simple Summary

          Animal welfare assessment protocols use different methods to categorise and score animal welfare. This study has demonstrated the feasibility of developing standards for a welfare assessment protocol of cow-calf farms in New Zealand by validating potential categorisation thresholds for measures of assessment on 25 beef farms. Imposed thresholds of categorisation and derived thresholds based upon the poorest 15% and best 50% of farms for each measure were compared to see which was the most appropriate to the range of observations and the significance of the welfare implications of the measure. For measures with significant welfare implications, the stricter threshold was retained, while derived thresholds appeared more appropriate for commonly occurring traits but of less welfare importance for the production system at hand.

          Abstract

          The intention of this study was to develop standards for a welfare assessment protocol by validating potential categorisation thresholds for the assessment of beef farms in New Zealand. Thirty-two measures, based on the Welfare Quality and the University of California (UC) Davis Cow-Calf protocols, plus some indicators specific to New Zealand, that were assessed during routine yardings of 3366 cattle on 25 cow-calf beef farms in the Waikato region were categorised on a three-point welfare score, where 0 denotes good welfare, 1 marginal welfare, and 2 poor/unacceptable welfare. Initial categorisation of welfare thresholds was based upon the authors’ perception of acceptable welfare standards and the consensus of the literature, with subsequent derived thresholds being based upon the poorest 15% and best 50% of farms for each measure. Imposed thresholds for lameness, dystocia, and mortality rate were retained in view of the significance of these conditions for the welfare of affected cattle, while higher derived thresholds appeared more appropriate for dirtiness and faecal staining which were thought to have less significant welfare implications for cattle on pasture. Fearful/agitated and running behaviours were above expectations, probably due to the infrequent yarding of cows, and thus the derived thresholds were thought to be more appropriate. These thresholds provide indicators to farmers and farm advisors regarding the levels at which intervention and remediation is required for a range of welfare measures.

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          Operational Details of the Five Domains Model and Its Key Applications to the Assessment and Management of Animal Welfare

          Simple Summary The Five Domains Model is a focusing device to facilitate systematic, structured, comprehensive and coherent assessment of animal welfare; it is not a definition of animal welfare, nor is it intended to be an accurate representation of body structure and function. The purpose of each of the five domains is to draw attention to areas that are relevant to both animal welfare assessment and management. This paper begins by briefly describing the major features of the Model and the operational interactions between the five domains, and then it details seven interacting applications of the Model. These underlie its utility and increasing application to welfare assessment and management in diverse animal use sectors. Abstract In accord with contemporary animal welfare science understanding, the Five Domains Model has a significant focus on subjective experiences, known as affects, which collectively contribute to an animal’s overall welfare state. Operationally, the focus of the Model is on the presence or absence of various internal physical/functional states and external circumstances that give rise to welfare-relevant negative and/or positive mental experiences, i.e., affects. The internal states and external circumstances of animals are evaluated systematically by referring to each of the first four domains of the Model, designated “Nutrition”, “Environment”, “Health” and “Behaviour”. Then affects, considered carefully and cautiously to be generated by factors in these domains, are accumulated into the fifth domain, designated “Mental State”. The scientific foundations of this operational procedure, published in detail elsewhere, are described briefly here, and then seven key ways the Model may be applied to the assessment and management of animal welfare are considered. These applications have the following beneficial objectives—they (1) specify key general foci for animal welfare management; (2) highlight the foundations of specific welfare management objectives; (3) identify previously unrecognised features of poor and good welfare; (4) enable monitoring of responses to specific welfare-focused remedial interventions and/or maintenance activities; (5) facilitate qualitative grading of particular features of welfare compromise and/or enhancement; (6) enable both prospective and retrospective animal welfare assessments to be conducted; and, (7) provide adjunct information to support consideration of quality of life evaluations in the context of end-of-life decisions. However, also noted is the importance of not overstating what utilisation of the Model can achieve.
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            Addressing the pain associated with disbudding and dehorning in cattle

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              Risk factors associated with animal mortality in pasture-based, seasonal-calving dairy and beef herds.

              Animal mortality is indicative of animal health and welfare standards, which are of growing concern to the agricultural industry. The objective of the present study was to ascertain risk factors associated with mortality at multiple life stages in pasture-based, seasonal-calving dairy and beef herds. Males and females were stratified into seven life stages based on age (0 to 2 d, 3 to 7 d, 8 to 30 d, 31 to 182 d, 183 to 365 d, 366 to 730 d, and 731 to 1,095 d) whereas females with ≥1 calving event were further stratified into five life stages based on cow parity number (1, 2, 3, 4, and 5). Mortality was defined as whether an animal died during each life stage; only animals that either survived the entire duration or died during a life stage were considered. The data, following edits, consisted of 4,404,122 records from 1,358,712 animals. Multivariable logistic regression was used to estimate the logit of the probability of mortality in each life stage separately. The odds of a young animal (i.e., aged ≤ 1,095 d) dying was generally greater if veterinary assistance was required at their birth relative to no assistance (odds ratio [OR]: 3.10 to 31.85), if the animal was a twin relative to a singleton (OR: 1.46 to 2.31) or if the animal was male relative to female (OR: 1.14 to 6.15). Moreover, the odds of a cow (i.e., females with ≥1 calving event) dying were greater when she required veterinary assistance at calving (OR: 2.69 to 7.55) compared with a cow that did not require any assistance, if she produced twin relative to singleton progeny (OR: 1.59 to 2.03) or male relative to female progeny (OR: 1.09 to 1.20). Additionally, the odds of a first or second parity cow dying when she herself had received veterinary assistance at birth were only 0.63 to 0.66 times that of a cow that was provided no assistance at birth. For both young animals and cows, the odds of dying generally increased with herd size, whereas animals residing in expanding herds had lower odds of dying. Results from the present study indicate that the risk factors associated with mortality in pasture-based, seasonal-calving herds are similar to those reported in literature in confinement, nonseasonal-calving herds. Moreover, the present study identifies that these risk factors are similar in both dairy and beef herds, yet the magnitude of the association often differs and also changes with life stage.
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                Author and article information

                Journal
                Animals (Basel)
                Animals (Basel)
                animals
                Animals : an Open Access Journal from MDPI
                MDPI
                2076-2615
                07 September 2020
                September 2020
                : 10
                : 9
                : 1592
                Affiliations
                [1 ]School of Veterinary Medicine, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand; r.laven@ 123456massey.ac.nz (R.L.); t.j.parkinson@ 123456massey.ac.nz (T.P.)
                [2 ]School of Agriculture and Environmental Management, Massey University, Private Bag 11 222, Palmerston North 4442, New Zealand; R.Hickson@ 123456massey.ac.nz (R.H.); k.j.stafford@ 123456massey.ac.nz (K.S.)
                Author notes
                [* ]Correspondence: Y.Kaurivi@ 123456massey.ac.nz ; Tel.: +64-63505328
                Author information
                https://orcid.org/0000-0001-5968-613X
                https://orcid.org/0000-0002-9609-9599
                https://orcid.org/0000-0002-8938-8595
                Article
                animals-10-01592
                10.3390/ani10091592
                7552219
                32906782
                d97b4a07-c34e-4a58-89bb-0d4223805202
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 03 August 2020
                : 05 September 2020
                Categories
                Article

                categorisation,welfare assessment,extensive beef cows,new zealand

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