1,721,189 research outputs found
Effect of training on the inter-observer reliability of lameness scoring in dairy cattle
No full textIn the present study, the effect of training on inter-observer reliability was studied for a 5-category lameness scoring system used for routine on-form surveys of welfare in dairy cattle. The inter-observer agreement between an experienced and an initially inexperienced observer was determined during an initial training phase and at specific time points in the course of data collection in 46 herds. During the training phase on three forms, inter-observer reliability increased to an acceptable level for both the 5-category gait scoring system and the distinction between lame and non-lame cows. The 4th testing after 17 on-form visits revealed a considerable increase in inter-observer reliability which was further improved in the course of the on-form visits. In conclusion, acceptable inter-observer agreement for differentiating between non-lame and lame cows was achieved after only a brief introduction. In order to obtain high inter-observer repeatability with the 5-category gait scoring system used in this study, (more) intensive training procedures are required
Reliability of a subjective lameness scoring system for dairy cows
No full textFour observers were trained in lameness assessment using a subjective scoring system with five categories, and observer agreement was investigated four times at different stages of training and experience. Inter-observer reliability increased with time and reached acceptable levels in the lost session. Retrospectively simplified versions of the scoring system were satisfactorily reliable already at a fairly low training level. For experienced raters, the original scoring system with five categories is suitable in terms of reliability for on-farm welfare assessment
Risk factors for lameness in cubicle housed Austrian Simmental dairy cows
No full textAustrian dairy farming is characterised by predominant use of Simmental cows on small-scale farms. Our aim was to identify lameness risk factors related to housing and management in cubicle housed Austrian dairy cows. Furthermore, we used animal-based parameters (ABP) as integrated measures of cubicle quality and feeding management. The first author visited 30 farms in eastern Austria with 24-54 cows (mean = 35) in the milking herd during winter housing period, and collected data on housing, management, behaviour, and lameness via direct observations and an interview (part of Welfare Quality(R) project). Mean lameness prevalence was 31% (range 6-70%). Data were analysed using logistic regression with generalised estimating equations (GEE). The final model was based on 832 cows and included six risk variables, five ABP, and the significant confounders 'county' and 'lactation number'. Odds for lameness increased with decreasing lying comfort, except for cubicle width. The following lying-related factors were significant in the final model (odds ratios (OR) in brackets): mats/mattresses as opposed to deep bedded cubicle base (1.61), length of lying area (OR 186-191 vs. 3.5 had at least 0.39 lower odds of being lame, while cows with suboptimal milk protein content (3.8%) had 1.37 times higher odds. Odds for lameness clearly increased with age (OR lactation >4 vs. 1 = 3.38). In sum, lying comfort and nutrition are key areas for lameness prevention on modern dairy farms in Austria with herd sizes above 30 cows. (C) 2009 Elsevier B.V. All rights reserved.European Commission [FOOD-CT-2004-506508
Hock lesion epidemiology in cubicle housed dairy cows across two breeds, farming systems and countries
No full textThis cross-sectional study examined various aspects of cubicle design and management in terms of their potential as risk factors for hock lesions, using an epidemiological approach. Cubicle dairy farms in Germany and Austria with Holstein Friesian or Simmental cows were visited during the winter housing season. 105 farms and 3691 cows were included in the analysis which consisted of three steps: bifactorial regression, regression trees and multiple linear regression. The mean farm prevalence of hock lesions, i.e. scabs, wounds, and swellings was 50%, with a range from 0 to 100%. The final model contained eight factors which were largely related to lying comfort and explained 75% of the variance. The presence of a curb turned out to be the most influential beneficial factor. Additionally, there were fewer hock lesions when cows were housed with deep bedded cubicles compared to cubicles without deep bedding. Other factors in the regression model were softness and length of the lying surface and height of free space under cubicle partitions, the proportion of overconditioned cows and a variable encoding three different combinations of region, husbandry system (organic and conventional) and breed. Independently from the risk factor model hock lesions were positively correlated with lameness at herd level as well as at animal level. This probably results from related risk factors for both conditions. It can be concluded that lying comfort of dairy cows should be improved in order to prevent hock lesions. In addition, preventive measures for hock lesions at the same time have a potential of reducing lameness and thus to improve cow welfare in several aspects. (C) 2012 Elsevier B.V. All rights reserved.European Commission [FOOD-CT-2004-506508
Assessing lameness in cows kept in tie-stalls
No full textIdentifying lame cows and quantifying the prevalence of lameness are important elements of cattle welfare assessment that are generally achieved by methods involving observations of each animal walking. There is no published method for assessing lameness in cows confined in tie-stalls. The objective of this study (carried out within the European Commission's Welfare Quality (R) project) was to develop a suitable method and validate it for lameness detection against a published locomotion score. A series of indicators of lameness visible in tied cows was formalized into a stall assessment protocol. This was validated against a traditional locomotion score and tested for repeatability between 2 observers. A total of 98 cows on 4 farms were assessed. Overall interobserver agreement was 91%. Sensitivity compared with locomotion scoring was 0.54 to 0.77, dependent on observer and threshold definition. Assessment in the stall underestimated the herd prevalence of lameness revealed by locomotion scoring by 11 to 37% (mean 27%). The discrepancy between herd lameness prevalence assessed in the stall and by locomotion scoring was not affected significantly by farm or observer. The cases of lameness that were not detected in the stall tended to be the least severe. The proposed method for lameness detection in tie-stalls could be used for herd-level assessment of lameness and detection of individual lame animals by farmers and their advisors, but it is important to remember that it is less sensitive than locomotion scoring.European Commission [FOOD-CT-2004-506508
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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