861 resultados para sheep category
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Plates I-V constitute a folded anatomical model of the ram; portions of plate V unfold further to show various internal organs.
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Thesis (doctoral)--
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Mode of access: Internet.
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"Some of these letters appeared in Woman's work ... Some appeared in the Atlantic Monthly."--Pref.
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Issued July 1978.
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Includes bibliographies.
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Mode of access: Internet.
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Vol. <40>- in two parts: sec. 1, Longwool breeds; sec. 2, Shortwool breeds.
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The pharmacokinetics of metronidazole was determined after a single intramuscular (i.m.) dose of 30 mg.kg(-1)-body weight in five camels, sheep and goats. Marked differences were found between the three species in some of the kinetic parameters. For example, the elimination half-lives t(1/2); (h) in camels, sheep and goats were 10.0, 6.21 and 5.87, respectively. The drug maximum concentrations in plasma, C-max (mg.ml(-1)), were 28.3, 54.6 and 54.4 in camels, sheep and goats, respectively. The time to reach C-max, t(max) (h), were 5, 4 and 2 in camels, sheep and goats, respectively. The mean residence times (MRT; h) in camels, sheep and goats were 16.7, 10.8 and 8.64, respectively. In the light of the present kinetic data and known microbial sensitivities of metronidazole, we recommend an i.m. dose of 15 mg.kg(-1) in camels and 10 mg.kg(-1) in sheep and boats. every 12 h.
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Category-management models serve to assist in the development of plans for pricing and promotions of individual brands. Techniques to solve the models can have problems of accuracy and interpretability because they are susceptible to spurious regression problems due to nonstationary time-series data. Improperly stated nonstationary systems can reduce the accuracy of the forecasts and undermine the interpretation of the results. This is problematic because recent studies indicate that sales are often a nonstationary time-series. Newly developed correction techniques can account for nonstationarity by incorporating error-correction terms into the model when using a Bayesian Vector Error-Correction Model. The benefit of using such a technique is that shocks to control variates can be separated into permanent and temporary effects and allow cointegration of series for analysis purposes. Analysis of a brand data set indicates that this is important even at the brand level. Thus, additional information is generated that allows a decision maker to examine controllable variables in terms of whether they influence sales over a short or long duration. Only products that are nonstationary in sales volume can be manipulated for long-term profit gain, and promotions must be cointegrated with brand sales volume. The brand data set is used to explore the capabilities and interpretation of cointegration.
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The emerging interdisciplinary body of cosmopolitanism research has established a promising field of theoretical endeavour by bringing into focus questions concerning globalization, nationalism, population movements, cultural values and identity. Yet, despite its potential importance, what characterizes recent cosmopolitanism research is an idealist sentiment that considerably marginalizes the significance of the structures of nation-state and citizenship, while leaving unspecified the empirical sociological dimensions of cosmopolitanism itself. Our critique aims at making cosmopolitanism a more productive analytical tool. We argue for a cosmopolitanism that consists of conceptually and empirically identifiable values and outlooks. While there has been some progress made in this direction in the recent literature on cosmopolitanism, most writing still considers cosmopolitanism as something so delicate that it cannot be measured. Furthermore, in order to appreciate the full currency of the concept, we argue that researchers must not only agree on some common determinants of cosmopolitanism and cosmopolitan dispositions, but also ground their analyses of cosmopolitanism in the context of enduring nation-state structures.
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Hungry cattle and sheep introduced to stockyards containing a dominant or pure growth of Dactyloctenium radulans (button grass) suffered acute nitrate-nitrite toxicity in four incidents in inland Queensland between 1993 and 2001. Deaths ranged from 16 to 44%. Methaemoglobinaemia was noted at necropsies in all incidents. An aqueous humour sample from one dead steer contained 75 mg nitrate/L and from one dead sheep contained 100 mg nitrate and 50 mg nitrite/L (normal = ca 5 mg nitrate/L). Both lush and dry button grass were toxic. The nitrate content of button grass from within the stockyards ranged from 4.0 to 12.9% as potassium nitrate equivalent in dry matter and from outside the stockyards ranged from
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1. We analysed time-series data from populations of red kangaroos (Macropus rufus, Desmarest) inhabiting four areas in the pastoral zone of South Australia. We formulated a set of a priori models to disentangle the relative effects of the covariates: rainfall, harvesting, intraspecific competition, and domestic herbivores, on kangaroo population-growth rate. 2. The statistical framework allowed for spatial variation in the growth-rate parameters, response to covariates, and environmental variability, as well as spatially correlated error terms due to shared environment. 3. The most parsimonious model included all covariates but no area-specific parameter values, suggesting that kangaroo densities respond in the same way to the covariates across the areas. 4. The temporal dynamics were spatially correlated, even after taking into account the potentially synchronizing effect of rainfall, harvesting and domestic herbivores. 5. Counter-intuitively, we found a positive rather than negative effect of domestic herbivore density on the population-growth rate of kangaroos. We hypothesize that this effect is caused by sheep and cattle acting as a surrogate for resource availability beyond rainfall. 6. Even though our system is well studied, we must conclude that approximating resources by surrogates such as rainfall is more difficult than previously thought. This is an important message for studies of consumer-resource systems and highlights the need to be explicit about population processes when analysing population patterns.