Abstract: The social behaviour of two groups of Merino ewes and one group of Merino x Border Leicester ewes was studied. Each group comprised eight sheep, 15 months of age and, within each group, the animals were of similar liveweight. Dominance rankings were established at each test, but there was little consistency in ewe rank over time. Similarly, little consistency was found in ewe ranking for movement order between pens, and for exploratory and fear test rankings. However, with tests on movement orders, some consistency in the sheep which ranked first was shown. In the field, no aggression was seen while sheep were grazing and there were no occasions when ranking related to movement could be observed. There were short-term associations between pairs of sheep, but these occurred in less than half the individuals. Although the spatial distribution was not studied, the lack of long-term association between pairs would suggest that strong spatial preference does not occur. It is concluded that the social organization of single-age Merino and Merino x Border Leicester ewes is not based on dominance or leadership ranking nor on long-term associations between individuals.

Abstract: The horses of Shackelford Banks, North Carolina, USA, are heavily parasitized by intestinal worms and harassed by dipterans, and although both types influence behavior only internal parasites affect bodily condition and the structuring of horse society. Thirteen species of internal parasites were identified, but only 4 of 13 groups contain them all and even within groups differences among individuals are large. Among individuals ova emissions vary ranging from 50 to 76,875 eggs per gram. The most important environmental factors influencing egg production are season and a group's location on the island, presumably because of salinity and soil differences and their effects on ova survival. Of the social and life history factors, age, and group size, but neither reproductive state nor dominance status are important. The fitness consequences of internal parasitism may be large since the number emitted is negatively correlated with next year's bodily condition. Biting fly burdens are also affected by a variety of environmental factors. In general, horses are covered with more flies on sunny days, when winds are moderately brisk, when occupying dunes, and around mid-day. In contrast to endoparasites, fly burden is affected by reproductive condition and dominance status and tends to decrease as groups increase in size. Since groups do not grow very large, nor do females attempt to bring groups together, the negative effects of endoparasites appear to overide those associated with ectoparasites. Consequently, endoparasites appear to exert a stronger influence on social structure, even though ectoparasites seem to play a stronger role in shaping details of behavior.

Abstract: Discriminative learning abilities were studied in 12 mature, malnourished horses. All horses initially received a condition score (CS) between 2 and 4 on a scale of 1 (poor) to 9 (extremely fat). Then horses were assigned to one of 3 treatments based on their eventual, rehabilitated CS during discrimination testing: thin, CS 1-3; moderate, CS 4-6; and fat, CS 7-9. The discrimination learning task was performed for 14 days with a maximum of 20 trials per day. Daily criterion was set at eight consecutively correct trails. Total trials to first criteria and total errors during testing were recorded. Analysis of variance showed that treatments did not differ (P>0.05) in total trials to first criterion, however horses on the fat treatment did have higher total error scores (P<0.05) than horses on the thin or moderate treatments. This difference was probably owing to lack of motivation in the fat treatment horses, rather than to true learning ability differences. The sex of the horse did not significantly affect either learning score.

Abstract: Book Description
The success of the first edition of Generalized Linear Models led to the updated Second Edition, which continues to provide a definitive unified, treatment of methods for the analysis of diverse types of data. Today, it remains popular for its clarity, richness of content and direct relevance to agricultural, biological, health, engineering, and other applications. The authors focus on examining the way a response variable depends on a combination of explanatory variables, treatment, and classification variables. They give particular emphasis to the important case where the dependence occurs through some unknown, linear combination of the explanatory variables. The Second Edition includes topics added to the core of the first edition, including conditional and marginal likelihood methods, estimating equations, and models for dispersion effects and components of dispersion. The discussion of other topics-log-linear and related models, log odds-ratio regression models, multinomial response models, inverse linear and related models, quasi-likelihood functions, and model checking-was expanded and incorporates significant revisions. Comprehension of the material requires simply a knowledge of matrix theory and the basic ideas of probability theory, but for the most part, the book is self-contained. Therefore, with its worked examples, plentiful exercises, and topics of direct use to researchers in many disciplines, Generalized Linear Models serves as ideal text, self-study guide, and reference.