Einfluss von herdenumwelt und milchleistung auf verschiedene fruchtbarkeitsparameter beim schweizerischen braunvieh

International audienc

Genetic Analysis of White Facial and Leg Markings in the Swiss Franches-Montagnes Horse Breed

White markings and spotting patterns in animal species are thought to be a result of the domestication process. They often serve for the identification of individuals but sometimes are accompanied by complex pathological syndromes. In the Swiss Franches-Montagnes horse population, white markings increased vastly in size and occurrence during the past 30 years, although the breeding goal demands a horse with as little depigmented areas as possible. In order to improve selection and avoid more excessive depigmentation on the population level, we estimated population parameters and breeding values for white head and anterior and posterior leg markings. Heritabilities and genetic correlations for the traits were high (h2 > 0.5). A strong positive correlation was found between the chestnut allele at the melanocortin-1-receptor gene locus and the extent of white markings. Segregation analysis revealed that our data fit best to a model including a polygenic effect and a biallelic locus with a dominant-recessive mode of inheritance. The recessive allele was found to be the white trait-increasing allele. Multilocus linkage disequilibrium analysis allowed the mapping of the putative major locus to a chromosomal region on ECA3q harboring the KIT gen

Populationsstruktur und genetische Diversität von Schweizer Schafrassen

Das Jahr 2010 wurde von den Vereinten Nationen zum Jahr der Biodiversität erklärt. Der Schweizerische Schafzuchtverband stellte in diesem Kontext Herdebuchdaten der vier grössten Schweizer Schafrassen zur Analyse der genetischen Diversität zur Verfügung. Untersucht wur-den das Braunköpfige Fleischschaf (BFS; n=10 858), das Schwarzbraune Bergschaf (SBS; n=10 964), das Walliser Schwarznasenschaf (SN; n=14 371) und das Weisse Alpenschaf (WAS; n=32 169). Die Analysen beruhen auf allen Herdebuchtieren der Geburtsjahre 1996–2008 und ihren Ahnen bis und mit Geburtsjahr 1970. Ausgewertet wurden die Daten mit gängiger Software für populationsgenetische Fragestellungen. Die grösste Zunahme beim mittleren Inzuchtkoeffizienten konnte im untersuchten Zeitraum bei der Rasse SN (5,9 → 9,3 %) gefolgt von denRassen BFS (2,4 → 4,3 %), SBS (2,4 → 3,8 %) und WAS (1,4 → 2,5 %) beobachtet werden. Obwohl die Inzuchtraten im Zeitraum 1996 bis 2008 teilweise starke Schwankungen aufwiesen, zeigte sich bei allen vier Rassen grundsätzlich ein steigender Trend. Damit einher ging ein sinkender Trend bei der effektiven Populationsgrösse. Die grösste Anzahl an effektiven Gründertieren, Ahnen und Gründergenomen fanden sich beim weissen Alpenschaf. Bei allen vier Rassen war bei diesen drei Parametern im Laufe der Jahre eine sinkende Tendenz erkennbar, wobei die Abnahme bei der Rasse WAS im Vergleich mit den anderen Rassen viel ausgeprägter war. Ein weiterer Indikator für eine abnehmende genetische Vielfalt von 1996 bis 2008 ist der marginale Genanteil des wichtigsten Ahnen. Dieser ist bei allen vier Rassen angestiegen (SN 11,05 → 19,79 %; BFS 7,67 →11,27 %; SBS 4,45 → 5,19 %; WAS 2,84 →4,69 %).Aufgrund der Ergebnisse stellt sich die Frage nach gezielten Managementmassnahmen nur bei der SN-Population. Bei den anderen drei Rassen sollten die Trends der genetischen Diversitäts-parameter jedoch regelmässig überprüft werden

Arthrogryposis multiplex congenita (AMC), a hereditary disease in swine, maps to Chromosome 5 by linkage analysis

Arthrogryposis multiplex congenita (AMC), defined as permanent joint contractures present at birth, is one of the most common congenital defects in piglets and other mammals. A genetic form of arthrogryposis was recently identified in Swiss Large White (LW) pigs. The disease is controlled by a single autosomal recessive allele designated as amc. At least 14 LW AI (artificial insemination) boars (about 25% of the Swiss population) are known to be carriers of the amc allele. A total of 219 pigs were used for linkage analysis, including seven founders (F1), three F0, 160 F2, and 49 F3 animals. All founder pigs were full or half sibs. Of the 219 pigs, 41 (18.7%) were found to be affected, while the remaining 178 (81.3%) were healthy. A comprehensive genome scan revealed that microsatellite SW1987 located on pig (Sus scrofa) Chromosome 5 (SSC5), was linked with AMC. Sixteen additional SSC5 microsatellites were selected for further genotyping to generate a multipoint map covering the AMC region. Significant pairwise linkage (LOD > 6.00) was found for AMC and eight marker loci. The order that best fit with the data was SW963-SW1987-SW152-AMC-(SW904, SW1094)-SWR1526-(SWR1974, SW310). AMC was mapped by linkage analysis to the position 92cM, between SW152 and SW904/SW1094, which are located on SSC5 in bands q12-q2

Sociodemographic differences in linkage error: An examination of four large-scale datasets

© 2018 The Author(s). Background: Record linkage is an important tool for epidemiologists and health planners. Record linkage studies will generally contain some level of residual record linkage error, where individual records are either incorrectly marked as belonging to the same individual, or incorrectly marked as belonging to separate individuals. A key question is whether errors in linkage quality are distributed evenly throughout the population, or whether certain subgroups will exhibit higher rates of error. Previous investigations of this issue have typically compared linked and un-linked records, which can conflate bias caused by record linkage error, with bias caused by missing records (data capture errors). Methods: Four large administrative datasets were individually de-duplicated, with results compared to an available 'gold-standard' benchmark, allowing us to avoid methodological issues with comparing linked and un-linked records. Results were compared by gender, age, geographic remoteness (major cities, regional or remote) and socioeconomic status. Results: Results varied between datasets, and by sociodemographic characteristic. The most consistent findings were worse linkage quality for younger individuals (seen in all four datasets) and worse linkage quality for those living in remote areas (seen in three of four datasets). The linkage quality within sociodemographic categories varied between datasets, with the associations with linkage error reversed across different datasets due to quirks of the specific data collection mechanisms and data sharing practices. Conclusions: These results suggest caution should be taken both when linking younger individuals and those in remote areas, and when analysing linked data from these subgroups. Further research is required to determine the ramifications of worse linkage quality in these subpopulations on research outcomes

Illness beliefs and the sociocultural context of diabetes self-management in British South Asians: a mixed methods study

Background: British South Asians have a higher incidence of diabetes and poorer health outcomes compared to the general UK population. Beliefs about diabetes are known to play an important role in self-management, yet little is known about the sociocultural context in shaping beliefs. This study aimed to explore the influence of sociocultural context on illness beliefs and diabetes self-management in British South Asians. Methods: A mixed methods approach was used. 67 participants recruited using random and purposive sampling, completed a questionnaire measuring illness beliefs, fatalism, health outcomes and demographics; 37 participants completed a social network survey interview and semi-structured interviews. Results were analysed using SPSS and thematic analysis. Results: Quantitative data found certain social network characteristics (emotional and illness work) were related to perceived concern, emotional distress and health outcomes (p < 0.05). After multivariate analysis, emotional work remained a significant predictor of perceived concern and emotional distress related to diabetes (p < 0.05). Analysis of the qualitative data suggest that fatalistic attitudes and beliefs influences self-management practices and alternative food ‘therapies’ are used which are often recommended by social networks. Conclusions: Diabetes-related illness beliefs and self-management appear to be shaped by the sociocultural context. Better understanding of the contextual determinants of behaviour could facilitate the development of culturally appropriate interventions to modify beliefs and support self-management in this population

The emergence of team resilience: A multilevel conceptual model of facilitating factors

With empirical research on team resilience on the rise, there is a need for an integrative conceptual model that delineates the essential elements of this concept and offers a heuristic for the integration of findings across studies. To address this need, we propose a multilevel model of team resilience that originates in the resources of individual team members and emerges as a team-level construct through dynamic person–situation interactions that are triggered by adverse events. In so doing, we define team resilience as an emergent outcome characterized by the trajectory of a team's functioning, following adversity exposure, as one that is largely unaffected or returns to normal levels after some degree of deterioration in functioning. This conceptual model offers a departure point for future work on team resilience and reinforces the need to incorporate inputs and process mechanisms inherent within dynamic interactions among individual members of a team. Of particular, importance is the examination of these inputs, process mechanisms and emergent states, and outcomes over time, and in the context of task demands, objectives, and adverse events. Practitioner points: Team resilience as a dynamic, multilevel phenomenon requires clarity on the individual- and team-level factors that foster its emergence within occupational and organizational settings. An understanding of the nature (e.g., timing, chronicity) of adverse events is key to studying and intervening to foster team resilience within occupational and organizational settings