Abstract: Abstract Concentrated feed diets have been shown to drastically increase the rate of the cribbing, an oral stereotypy in horses, but the specific component causing the rise has not been identified. Furthermore, the mechanism through which feed affects cribbing has not been explored. In the first experiment of this study, we quantified the latency to crib and number of cribs in 15 min after the horses tasted various grain, sugar, and artificial sweetener solutions. Undiluted grain stimulated the most cribs (P < 0.01) compared with all other solutions, and shortest latency to crib, although this was significantly higher only when compared with diluted grain (P = 0.03). In Experiment 2, latency to crib and number of cribs in 15 min after the grain and sugar solutions were administered via nasograstric tube were also evaluated. There were no statistical differences among cribbing responses to grain, fructose, and water administered directly to the stomach although grain stimulated cribbing behavior more quickly than 10% fructose (P = 0.03) and 100% tap water (P = 0.04). These results confirm that highly palatable diets, possibly mediated through the opioid and dopaminergic systems, are one of the most potent inducers of cribbing behavior. The highly palatable taste remains the probable “cribogenic” factor of concentrated diet, although gastric and post-gastric effects cannot be excluded.

Abstract: The first month of training of a young horse is suspected to be stressful, but the endocrine responses to initial training are unknown. Therefore in our study a total of 40 Quarter Horses (QH), all at the age of almost 2 years, were followed during the first 30 days of their training. During this time faecal samples were collected twice daily and faecal cortisol metabolites (FCM) were measured. Baseline values of FCM ranged between 1.3 and 20.1 (median: 6.7) ng/g faeces. No differences in FCM values between days of training were found. Mares showed the highest values. Significant diurnal variations were observed in mares (p=0.035) and stallions (p=0.003), but not in geldings (p=0.282). As in this study adrenocortical activity was not increased during initial training, horses seem to cope very well with this new situation. The results of our large-scale study provide basic physiological data about initial training. This gives additional input in an emotional debate about animal welfare aspects of first time handling and training of horses.
Abbreviations: 11,17-DOA = 11,17-dioxoandrostanes; EIA = Enyzme Immunoassay; FCM = faecal cortisol metabolites; GC = glucocorticoids; HPA-axis = hypothalamic-pituitary-adrenocortical-axis; QH = Quarter Horses
[Das Einreiten eines jungen Pferdes steht unter Verdacht belastend zu sein. Bisher gibt es aber keine Veröffentlichungen über endokrine Vorgänge während dieser Phase. Mit der vorliegenden Studie wurde überprüft, ob Pferde aufgrund physischer und psychischer Belastungen während des Trainings höhere Konzentrationen an Kortisolmetaboliten im Kot (FCM) aufweisen. Es wurden dazu 40 Quarter Horses im Alter von 2 Jahren während der ersten 30 Tage der Grundausbildung des Westernreitens beobachtet und ihre FCM Werte gemessen. Während dieser Zeitspanne wurden täglich morgens und abends Kotproben der Pferde genommen. Die Basalwerte der FCM Konzentration variierten zwischen 1,3 und 20,1 (Median: 6,7) ng/g Kot, wobei Stuten die höchsten Werte hatten. Signifikante Unterschiede während der einzelnen Trainingstage konnten nicht festgestellt werden. In der Tagesrhythmik wurden signifikante Unterschiede bei Stuten (p=0,035) und bei Hengsten (p=0,003), jedoch nicht bei Wallachen (p=0,282) ermittelt. In dieser Studie konnte keine erhöhte Aktivität der Nebennierenrinde im Verlauf der Grundausbildung eines Pferdes im Westernreitstil festgestellt werden. Das legt nahe, dass Pferde mit dieser neuen, zeitlich kurz andauernden Situationen gut zurechtkommen. Unsere Studie wurde an einer großen Anzahl von Tieren unter Feldbedingungen durchgeführt. Sie bietet daher eine gute Datenbasis über Belastungen während des Einreitens. Damit liefert sie einen zusätzlichen Beitrag zu einer mitunter emotional geführten Debatte über tierschutzrelevante Aspekte bei der Grundausbildung von Pferden.]

Abstract: Background The frequency of serum IgA deficiency (SIgAD) differs between populations. We examined the prevalence of SIgAD in healthy Caucasians. Materials and methods Serum immunoglobulin A (SIgA) was measured in 7293 volunteers (2264 women, 5029 men) aged 30 ± 14·2 years (mean ± SD; range: 12–66). Serum immunoglobulin A and subnormal SIgA levels were defined by a SIgA level < 0·07 g L-1, and between 0·07 and 0·7 g L-1, respectively. Means were compared by analysis of variance (anova) and analysis of covariance (ancova); frequencies by the χ2 test. Results Fifteen subjects (0·21%; one woman, 14 men) had SIgAD. Subnormal SIgA levels were found in 155 persons (2·13%): 21 females (0·93% of the females) and 134 males (2·66% of the males; difference: 1·74%; 95% CI: 1·12–2·33%; P < 0·001). Males were more likely to have subnormal SIgA levels or SIgAD (odds ratio 3·09, 95% CI: 1·97–4·85). The prevalence of SIgAD and subnormal SIgA was lowest in winter (χ2 = 14·8; P = 0·002; 3 d.f.; and χ2 = 43·2; P < 0·001; 3 d.f., respectively). Serum immunoglobulin A concentrations were significantly higher during winter. Serum immunoglobulin A levels increased with age on average by 0·2 ± 0·06 g L-1 per decade of life (P < 0·001). Taking into account the influence of age, SIgA concentration was lower in females as compared with males. Conclusion The prevalence of SIgAD and subnormal SIgA levels is increased in males. There exists a significant influence of gender, age and seasons on SIgA levels.

Abstract: In the USA, each year, up to one billion birds are estimated to die from colliding with windowpanes (Sabo et al. 2016). A further 573,000 are struck down by wind turbines, along with 888,000 bats (Smallwood 2013). Worldwide, unintended capture in fishing devices is recognized as the single most serious global threat to migratory, long-lived marine taxa including turtles, birds, mammals and sharks (Wallace et al. 2013). Estimates put the number of amphibians killed per year on Australian roads at 5 million (Seiler 2003). The likelihood of a green turtle erroneously ingesting plastic debris, often by mistaking them for food, rose from 30% in 1985 to almost 50% in 2012 (Schuyler et al. 2013). Human-induced rapid environmental change (HIREC, sensu Sih et al. 2011) is filling animals’ environments with new threats which bear little or excessive similarity to those they have encountered in their evolutionary history (Dwernychuk and Boag 1972; Patten and Kelley 2010; Witherington 1997). As a consequence, many of the stimuli involved fall outside the adaptive processing space of animals’ evolutionary perceptual, learning, memory and decision-making systems, making individuals particularly vulnerable to their impact.

Abstract: Dogs learn a great deal from humans and other dogs. Previous studies of socially influenced learning between dogs have typically used a highly trained demonstrator dog who is unfamiliar to the observer. Because of this, it is unknown how dynamics between familiar dogs may influence their likelihood of learning from each other. In this study, we tested dogs living together in two-dog households on whether individual dogs’ rivalry scores were associated with performance on a local enhancement task. Specifically, we wanted to know whether dog rivalry impacted whether an observer dog would approach a plate from which a demonstrator dog had eaten all available food, or whether the observer dog would approach the adjacent plate that still contained food. Dog rivalry scores were calculated using the Canine Behavioral Assessment and Research Questionnaire and indicated each dog’s tendency to engage aggressively with the other household dog. Low-rivalry dogs were more likely to approach the empty plate than high-rivalry dogs when the observer dog was allowed to approach the plates immediately after the demonstrator had moved out of sight. This difference between low- and high-rivalry dogs disappeared, however, when observer dogs had to wait 5 s before approaching the plates. The same pattern was observed during a control condition when a human removed the food from a plate. Compared to low-rivalry dogs, high-rivalry dogs may pay less attention to other dogs due to a low tolerance for having other dogs in close proximity.