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Animal Welfare | 2016

Test-retest reliability of the Welfare Quality® animal welfare assessment protocol for growing pigs

I. Czycholl; C. Kniese; Kathrin Büttner; E. grosse Beilage; Lars Schrader; J. Krieter

The aim of this study was to assess the feasibility and test-retest reliability of the Welfare Quality® Animal Welfare Assessment Protocol for Growing Pigs. Twenty-three German pig farms were visited repeatedly by the same trained observers; each farm being visited six times during two fattening periods. The entire protocol assessment was carried out during each farm visit, ie a Qualitative Behaviour Assessment (QBA), behavioural observations (BO), a Human Animal Relationship test (HAR) and different individual parameters (IPs), eg bursitis and tail-biting. Test-retest reliability was evaluated by a Wilcoxon signed rank test (W) and by calculation of the Smallest Detectable Change (SDC) and Limits of Agreement (LoA). The QBA presented non-satisfactory agreement between farm visits. However, good agreement, in general, was found for the BO. For the HAR, no reliability could be detected. Most IPs were of acceptable agreement, with the exception of bursitis and manure on the body. Bursitis showed great differences, which can be explained by difficulties in the assessment when the animals moved around or their legs were dirty. The disagreement in the parameter manure on the body can be explained by seasonal effects. Disagreement was further found concerning the parameters coughing, sneezing, pleuritis, pneumonia and milkspots. Feasibility was good; both observers could be well-trained to fulfil the protocol. Furthermore, the time needed for an assessment did not exceed 6 h. The parts of the protocol that proved to be insufficiently reliable need to be addressed in the future in order to enhance and improve the objective measurement of animal welfare.


Animal | 2018

An Indication of Reliability of the Two-Level Approach of the AWIN Welfare Assessment Protocol for Horses

I. Czycholl; Kathrin Büttner; Philipp Klingbeil; J. Krieter

Simple Summary Animal welfare is a very emotional issue. It is therefore necessary to measure it objectively. As welfare includes different components such as the health status, the behaviour and the emotional state, different indicators are needed for its assessment. A two-level approach is proposed in the Animal Welfare Indicators (AWIN) assessment protocol for horses; the first level providing a fast overview and the second more details. The aim of this study was to give an indication whether this two-level approach produces reliable results, i.e., whether the first level assessment does indeed provide a good overview or whether too many welfare issues remain undetected. Therefore, a trained observer performed 112 first and second level assessments directly following each other. The results were compared based on the agreement between the two levels. In this study, based on one observer, overall, the first level did provide a good overview of the welfare status. Adaption of some of the indicators of the first level assessment might be necessary. Nevertheless, this two-level approach enhances feasibility and there is indication that it is a reliable approach. Therewith, this approach might also be interesting for implementation in other welfare assessment schemes. Abstract To enhance feasibility, the Animal Welfare Indicators (AWIN) assessment protocol for horses consists of two levels: the first is a visual inspection of a sample of horses performed from a distance, the second a close-up inspection of all horses. The aim was to analyse whether information would be lost if only the first level were performed. In this study, 112 first and 112 second level assessments carried out on a subsequent day by one observer were compared by calculating the Spearman’s Rank Correlation Coefficient (RS), Intraclass Correlation Coefficients (ICC), Smallest Detectable Changes (SDC) and Limits of Agreements (LoA). Most indicators demonstrated sufficient reliability between the two levels. Exceptions were the Horse Grimace Scale, the Avoidance Distance Test and the Voluntary Human Approach Test (e.g., Voluntary Human Approach Test: RS: 0.38, ICC: 0.38, SDC: 0.21, LoA: −0.25–0.17), which could, however, be also interpreted as a lack of test-retest reliability. Further disagreement was found for the indicator consistency of manure (RS: 0.31, ICC: 0.38, SDC: 0.36, LoA: −0.38–0.36). For these indicators, an adaptation of the first level would be beneficial. Overall, in this study, the division into two levels was reliable and might therewith have the potential to enhance feasibility in other welfare assessment schemes.


Animal | 2017

Assessment of the multi-criteria evaluation system of the Welfare Quality® protocol for growing pigs

I. Czycholl; C. Kniese; Lars Schrader; J. Krieter

Animal welfare has become an important subject of public and political debate, leading to the necessity of an objective evaluation system for on-farm use. As welfare is a multi-dimensional concept, it makes sense to use a multi-criteria aggregation system to obtain an overall welfare score. Such an aggregation system is provided by the Welfare Quality® Network. The present paper focusses on the assessment of the multi-criteria evaluation model included in the Welfare Quality® protocol for growing pigs in order to aggregate the animal-based indicators first to criteria, then to principles and finally to an overall welfare score. Specifically, the importance of the indicators on the overall assessment of growing pig farms is analysed in a given population which consisted of a total of 198 protocol assessments carried out on a sample of 24 farms in Germany. By means of partial least squares modelling, the influence of measures in the calculation procedure is estimated by calculation and interpretation of Variable Importance for Projection (VIP) scores. Variable Importance for Projection scores revealed some meaningful, unexpected influences as the multi-criteria evaluation model of Welfare Quality® aimed at avoiding interferences and double-counting. Some of these influences led to the assumption that some measures might have potential as iceberg indicators, whereas others showed lesser importance. Thus, feasibility can be gained by the deletion and special weighting of indicators according to their importance. Altogether, the study is an essential contribution to the further development of the Welfare Quality® protocols as well as the application of multi-criteria decision systems in the field of animal welfare science in general.


SpringerPlus | 2016

Interobserver reliability of the ‘Welfare Quality® Animal Welfare Assessment Protocol for Growing Pigs’

I. Czycholl; C. Kniese; Kathrin Büttner; E. grosse Beilage; Lars Schrader; J. Krieter

The present paper focuses on evaluating the interobserver reliability of the ‘Welfare Quality® Animal Welfare Assessment Protocol for Growing Pigs’. The protocol for growing pigs mainly consists of a Qualitative Behaviour Assessment (QBA), direct behaviour observations (BO) carried out by instantaneous scan sampling and checks for different individual parameters (IP), e.g. presence of tail biting, wounds and bursitis. Three trained observers collected the data by performing 29 combined assessments, which were done at the same time and on the same animals; but they were carried out completely independent of each other. The findings were compared by the calculation of Spearman Rank Correlation Coefficients (RS), Intraclass Correlation Coefficients (ICC), Smallest Detectable Changes (SDC) and Limits of Agreements (LoA). There was no agreement found concerning the adjectives belonging to the QBA (e.g. active: RS: 0.50, ICC: 0.30, SDC: 0.38, LoA: −0.05 to 0.45; fearful: RS: 0.06, ICC: 0.0, SDC: 0.26, LoA: −0.20 to 0.30). In contrast, the BO showed good agreement (e.g. social behaviour: RS: 0.45, ICC: 0.50, SDC: 0.09, LoA: −0.09 to 0.03 use of enrichment material: RS: 0.75, ICC: 0.68, SDC: 0.06, LoA: −0.03 to 0.03). Overall, observers agreed well in the IP, e.g. tail biting (RS: 0.52, ICC: 0.88; SDC: 0.05, LoA: −0.01 to 0.02) and wounds (RS: 0.43, ICC: 0.59, SDC: 0.10, LoA: −0.09 to 0.10). The parameter bursitis showed great differences (RS: 0.10, ICC: 0.0, SDC: 0.35, LoA: −0.37 to 0.40), which can be explained by difficulties in the assessment when the animals moved around quickly or their legs were soiled. In conclusion, the interobserver reliability was good in the BO and most IP, but not for the parameter bursitis and the QBA.


Journal of Animal Science | 2017

Reliability of the qualitative behavior assessment as included in the Welfare Quality Assessment protocol for growing pigs1

I. Czycholl; E. Grosse Beilage; C. Henning; J. Krieter

Positive emotions constitute a very important part of animal welfare. They are, however, also the most challenging elements to be objectively measured. Due to its feasibility, the qualitative behavior assessment (QBA) is included in the Welfare Quality Assessment protocol for growing pigs as the animal-based measurement tool for positive emotions. Reliability testing on the QBA in the form as included in the protocols is, however, rare. Therefore, the present study aimed at the evaluation of the inter- and intraobserver as well as test-retest reliability of the QBA in growing pigs. This was done by trained observers based on 19 joint on-farm assessments, the repeated assessments of 24 farms during 2 growing periods, and 107 video sequences. The results were compared between the observers and the repeated farm visits. Therefore, millimeter values were directly compared by calculation of Spearmans rank correlation coefficients (RS), and furthermore, the results were subjected to a principal component analysis (PCA). The results identified 2 main principal components (PC; PC1 and PC2) together explaining from 42 to 75% of the variation in the recorded variables of the different PCA. The factor loadings that the adjectives reached on PC1 and PC2 were compared by calculation of RS between observers and farm visits, respectively. Reliability was interpreted as acceptable if at least a moderate correlation was detected; that is, RS was greater than or equal to 0.4. Regarding the on-farm assessments, and, therefore, under practical conditions, no sufficient interobserver reliability (RS = -0.16 for PC1 and RS = 0.13 for PC2) was found. In terms of the test-retest reliability, only 1 comparison of 2 farm visits showed a positive correlation for PC1 (RS = 0.79) as well as for PC2 (RS = 0.64). The other 5 comparisons presented negative to weak positive correlations. However, based on video sequences, good interobserver (RS = 0.67 for PC1 and RS = 0.60 for PC2) and intraobserver (RS = 0.94 for PC1 and RS = 0.44 for PC2) reliability was achieved. Therefore, the present study revealed good reliability for the QBA in the form as it is currently included in the Welfare Quality Assessment protocol for growing pigs based on video sequences but insufficient reliability for the application on the farm.


Book of abstracts of the 65th Annual Meeting of the European Federation of Animal Science ; Copenhagen, Denmark, 25-29 August, 2014 | 2014

Reliability of the Welfare Quality® animal welfare assessment protocol for growing pigs

I. Czycholl; C. Kniese; Lars Schrader; J. Krieter

Whether cattle grazing in nature reserves in temperate summers ought to be provided with artificial shelter (man-made), in addition to natural shelter (vegetation), is a topic of debate. We have investigated the effect of heat-load on the use of natural versus artificial shelter (with a roof and three walls) by cattle in eight nature reserves in Belgium. GPS collars were used to monitor use of open area, natural and artificial shelter during one or two summers (per 30 min). Cattle location data were coupled to same-time values of climatic ‘heat-stress indices’ calculated from local weather stations’ measurements of air temperature, air humidity, solar radiation and wind speed. Use of open area decreased as heat-load increased. The strength of the effect, and whether the cattle sought natural or artificial shelter, were associated with the amount and spatial distribution of natural shelter in the reserve. When natural shelter was sparse, a more scattered distribution tempered the increased use of shelter with increasing heat-load. If sufficiently available, cattle preferred natural to artificial shelter. When little natural shelter was available, cattle did use the artificial shelter and especially so with increasing heat-load. Microclimatic measurements indicated that solar radiation was blocked by vegetation at least as well as by artificial shelter, and allowed more evaporative cooling. In conclusion, we found no evidence for the added value of additional artificial shelter to protect cattle from heat-load in temperate nature reserves, as long as adequate natural shelter is available.Trabajo presentado al 65th Annual Meeting of the European Federation of Animal Science (EAAP) (Copenhagen, Denmark, 25 al 28 de agosto, 2014).Trabajo presentado al 65th Annual Meeting of the European Federation of Animal Science (EAAP) (Copenhagen, Denmark, 25 al 28 de agosto, 2014).Intramuscular fat content (IMF) influences important qualitative traits of meat as tenderness, juiciness and flavour, and technological characteristics. This trait is difficult to measure in vivo and is not included in the breeding programs, despite its medium heritability. Furthermore, IMF is a complex quantitative trait determined by several biochemical and metabolic processes influencing fat deposition in muscles. Indeed QTL affecting this trait have been already reported and some candidate genes were investigated in the last years, but relevant causative mutations have not been so far detected. Recently, thanks to the sequencing of the porcine genome and to the development of a high throughput genotyping porcine chip, it is possible to perform genome wide association (GWA) studies and put in light markers associated to this trait. With the aim to identify genes and markers associated to IMF we performed GWA using the Illumina PorcineSNP60 BeadChip and 889 Italian Large White pigs included in the Sib Test genetic evaluation program of the Italian Association of Pig Breeders (ANAS). The association analyses were conducted using linear mixed model implemented in GenABEL. The results of GWA analysis allowed to detect seven markers significantly associated with IMF (P-value <10) mapped on chromosomes 1, 3, 8 and 12. A validation study on selected markers was performed using a mixed model procedure of SAS software. Markers identified, once confirmed, could be applied as candidate genes to improve meat quality traits in Italian Large White pigs.The constantly growing yearly demand for meat, dairy products and eggs has important implications for agricultural production methods. Nowadays livestock/crop production is becoming increasingly industrialised worldwide, shifting from extensive, small-scale, subsistence production systems towards more intensive, large-scale, geographicallyconcentrated, specialised and commercially oriented ones. The shift in livestock farming methods from extensive to intensive poses a number of significant challenges for animal welfare, environmental sustainability and food security. The indicators to assess animals health and welfare status, have been increased during the last years, and the importance of this discipline is now widely known worldwide. Thanks to the welfare quality ® protocol the procedure to assess the animal health and welfare has become more and more clear, precise and accurate since the project ended in 2009. Furthermore this procedure to assess animal welfare status is time consuming and requires manpower and accurate planning.Bearing in mind the objectives of this study to investigate the Barbary sheep fertility under our climatic conditions and to evaluate the efficiency of the prostaglandin f2α(pgf2α)injections in induction of fertile estrus in different seasons. For these objectives, some experiments were performed during the period from July,2008 to March, 2009. A total number of 300 Libyan Barbary ewes(3-6 years old, weighing 40-60 kg) was used in this experiment. Ewes were kept in privet farms, fed and managed similarly. Ewes were divided to four season groups(summer, autumn, winter and spring groups). Each season group was divided into treated and control. Animals in the treated groups were injected with double injections of 125 μg of prostaglandin f2α intramuscularly(i/m), 11 days apart. While those in control groups were injected with two injections of 1.0 ml of 0.9% NACL saline solution simultaneously with the treated ewes. At the same day (day 11) rams wearing painted sponges on their briskets regions were introduced for natural mating. Treated groups showed shorter estrus response time than control groups in all seasons(P<0.05). Estrus duration was longer in winter and spring than in summer and autumn (P<0.001),but no difference was found between treated and control groups inside seasons. Treated group showed higher pregnancy rate(P<0.001) in winter season than control group. Percentage of ewes lambed in winter was significantly high (P<0.001) among treated ewes than control (80 vs 38%). Lambing rate differed significantly (P<0.001) among treated groups in all seasons. Data were collected and calculated statistically using SPSS system for percentages, means, standard deviation(mean ± sd) analysis of variance (anova), Chi square and Dunacan’s test were used accordingly. Other values were measured, calculated and analyzed similarly. Adoption of technology in sheep farms of La Mancha, Spain J. Rivas1, C. De Pablos2, J. Perea1, C. Barba1, R. Dios-Palomares1, M. Morantes1 and A. García1 1Universidad de Córdoba, Campus Rabanales, 14014, Córdoba, Spain, 2Universidad Rey Juan Carlos, Paseo de los Artilleros, 28034, Madrid, Spain; [email protected] Recently in Spain the milk production coming from sheep farms shows higher degrees of specialization based on the adoption of technologies. The aim of this research is to examine the pattern of adoption of technologies in sheep farms of La Mancha. Based on previous researches, from 77 questions, only 38 questions were selected by using qualitative and participatory methods; the chosen variables were grouped into six technology packages (TP): management, feeding, animal health and milk quality, pasture and land use, equipment and facilities, and reproduction and breeding program. The survey was applied to a sample of 157 farms. Using descriptive statistics each TP was characterized and the pattern of adoption was determined. The average of technologies adopted was of 18.4±6.0 (48.3%). TP showing higher degrees of implementation are animal health and milk quality (67.8%), feeding (56.0%) and management (55.7%), but their adoption is not sequential or responds to independent events. This research facilitates the identification of a number of technologies that must be implemented from an organizational strategy point of view. Moreover, all technologies are seeking a dynamic balance system that allows firms migrate to more efficient processes without losing their main attributes. As a technological challenge, an andrologic evaluation of ram, gynecologic evaluation of ewes prior to mating, early detection of non-productive animals are proposed; and a better use of productive records for the decision-making; aspects are recommended. The results of this analysis will have an impact on future research that attempts to improve the use of subproducts, forage reserves and improved rangeland management and hygiene control system, taking the quality milk as an strategic asset, so further research is necessary to assess the impact of each technology on the operating of the mixed system in the Mancha region. Session 40 Poster 20 Session 40 Poster 19The present paper focuses on evaluating the Interobserver Reliability of the Animal Welfare Assessment Protocol for Growing Pigs. The protocol for growing pigs consists of a Qualitative Behaviour Assessment (QBA), direct Behaviour Observations (BO), carried out by instantaneous scan sampling, a Human Animal Relationship Test (HAR) and checks for different Individual Parameters (IP), e.g. presence of tail biting, wounds and bursitis. Three trained observers collected the data by performing 29 combined assessments, which were done at the same time and on the same animals; but they were carried out completely independent of each other. The findings were compared by the calculation of Spearman Rank Correlation Coefficients (RS), Intraclass Correlation Coefficients (ICC), Smallest Detectable Changes (SDC) and Limits of Agreements (LoA). There was no agreement found concerning the adjectives belonging to the QBA (e.g. active: RS: 0.50, ICC: 0.30, SDC: 0.38, LoA: -0.05-0.45; fearful: RS: 0.06, ICC: 0.0, SDC: 0.26, LoA: -0.20-0.30). In contrast, the BO showed good agreement (e.g. social behaviour: RS: 0.45, ICC: 0.50, SDC: 0.09, LoA: -0.09-0.03 use of enrichment material: RS: 0.75, ICC: 0.68, SDC: 0.06, LoA: -0.03-0.03). The rather low agreement of the HAR (RS: 0.38, ICC: 0.54, SDC: 0.34, LoA: -0.40-0.27) can be explained by the fact that the observers entered the pens one after the other to minimise mutual interference which influenced the reaction towards the second intruder. Overall, observers agreed well in the IP, e.g. tail biting (RS: 0.52, ICC: 0.88; SDC: 0.05, LoA: -0.01-0.02) and wounds (RS: 0.43, ICC: 0.59, SDC: 0.10, LoA: -0.09-0.10). The parameter bursitis, however, showed great differences (RS: 0.10, ICC: 0.0, SDC: 0.35, LoA: -0.37-0.40), which can be explained by difficulties in the assessment when the animals moved around quickly or their legs were soiled. In conclusion, the Interobserver Reliability was good in the BO and most individual IP, but not for the parameter bursitis and the QBA.


Applied Animal Behaviour Science | 2015

Network characteristics and development of social structure of agonistic behaviour in pigs across three repeated rehousing and mixing events

Kathrin Büttner; K. Scheffler; I. Czycholl; J. Krieter


SpringerPlus | 2015

Social network analysis - centrality parameters and individual network positions of agonistic behavior in pigs over three different age levels

Kathrin Büttner; K. Scheffler; I. Czycholl; J. Krieter


Animal | 2017

Validation of a multi-criteria evaluation model for animal welfare

P. Martín; I. Czycholl; C. Buxadé; J. Krieter


Proceedings of the 7th International Conference on the Assessment of Animal Welfare at the Farm and Group Level ; Ede, The Netherlands,#R##N#September 5-8, 2017 | 2017

Assessment of the multi-criteria evaluation system of the Welfare Quality® protocolfor growing pigs

I. Czycholl; Kathrin Büttner; C. Kniese; Lars Schrader; J. Krieter

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Lars Schrader

Free University of Berlin

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C. Buxadé

Technical University of Madrid

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