Evaluation of Ensiled Brewer's Grain in the Diet of Piglets by One Way Multiple Analysis of Variance, MANOVA

The basic purpose of feeding trials is to find the optimum level of feed ingredients which give the highest economical returns to the farmers. This can be achieved through estimation and comparison of means of different rations. The example we have is a study of incorporation of different levels of ensiled brewers grains in the diet of 24 hybrids weaned piglets from Landrace x Duroc x Berkshire x Large White. They were randomly divided into four groups with three replicates of two piglets per pen. They were fed 0, 10, 20, 30% incorporation of ensiled brewer's grains on dry matter basis during post-weaning period followed by 0, 30, 40 and 50% during growing period and 0, 50, 60 and 70% during finishing period. We have one explanatory variable: initial weight, and four post treatment outcome variables recorded per piglets: final weight, dry matter consumption, weight gain and index of consumption. Comparing of several multivariate treatment means model design analysis is adapted. We obtain the MANOVA (Multiple Analyse of Variance) table of each phase, where the treatment differences exist by using Wilk's lambda distribution, and we find the treatment effect by using a confidence interval method of MANOVA. This model has the advantage of computing the responses of all variables in the matrix of sum of squares and more precisely in separation of the different means percentage of Ensiled Brewer's grain

Demand for plastic latrine slabs in rural Kenya and Tanzania

Plastic latrine slabs provide a cleanable surface and a coverable squat hole opening. They are a simple option for upgrading unimproved pit latrines. To measure consumer demand for plastic slabs in rural areas, we conducted i) a voucher-based real-money sales trial in Tanzania in 2015 (n=569) and ii) a real-money auction in Kenya in 2017 (n=322). In Tanzania, 60% of respondents were willing to pay 1 USD, and only 4% were willing to pay 12 USD (compared to the market price of 18 USD). In Kenya, 93% of respondents were willing to pay 1 USD, with only 1% willing to pay the market price of 16 USD. These findings show that there is demand for plastic slabs but at a lower price than what is commercially available. Amongst households who purchased the plastic slabs, 67% had installed them nine months later in Tanzania, versus 58% ten months later in Kenya

Hydrothermal activity, functional diversity and chemoautotrophy are major drivers of seafloor carbon cycling

Hydrothermal vents are highly dynamic ecosystems and are unusually energy rich in the deep-sea. In situ hydrothermal-based productivity combined with sinking photosynthetic organic matter in a soft-sediment setting creates geochemically diverse environments, which remain poorly studied. Here, we use comprehensive set of new and existing field observations to develop a quantitative ecosystem model of a deep-sea chemosynthetic ecosystem from the most southerly hydrothermal vent system known. We find evidence of chemosynthetic production supplementing the metazoan food web both at vent sites and elsewhere in the Bransfield Strait. Endosymbiont-bearing fauna were very important in supporting the transfer of chemosynthetic carbon into the food web, particularly to higher trophic levels. Chemosynthetic production occurred at all sites to varying degrees but was generally only a small component of the total organic matter inputs to the food web, even in the most hydrothermally active areas, owing in part to a low and patchy density of vent-endemic fauna. Differences between relative abundance of faunal functional groups, resulting from environmental variability, were clear drivers of differences in biogeochemical cycling and resulted in substantially different carbon processing patterns between habitats

Functional Effects of Parasites on Food Web Properties during the Spring Diatom Bloom in Lake Pavin: A Linear Inverse Modeling Analysis

This study is the first assessment of the quantitative impact of parasitic chytrids on a planktonic food web. We used a carbon-based food web model of Lake Pavin (Massif Central, France) to investigate the effects of chytrids during the spring diatom bloom by developing models with and without chytrids. Linear inverse modelling procedures were employed to estimate undetermined flows in the lake. The Monte Carlo Markov chain linear inverse modelling procedure provided estimates of the ranges of model-derived fluxes. Model results support recent theories on the probable impact of parasites on food web function. In the lake, during spring, when ‘inedible’ algae (unexploited by planktonic herbivores) were the dominant primary producers, the epidemic growth of chytrids significantly reduced the sedimentation loss of algal carbon to the detritus pool through the production of grazer-exploitable zoospores. We also review some theories about the potential influence of parasites on ecological network properties and argue that parasitism contributes to longer carbon path lengths, higher levels of activity and specialization, and lower recycling. Considering the “structural asymmetry” hypothesis as a stabilizing pattern, chytrids should contribute to the stability of aquatic food webs

Características clínico-epidemiológicas de pacientes hipertensos en un Consultorio Médico de Santa Clara

High blood pressure is a chronic non-transmittable disease, which is also a risk factor for the development of other clinical conditions. The incidence of arterial hypertension in the Cuban population is high.Aim: to characterize the evolution of arterial hypertension in a Family Doctor's Office.Methods: an observational, descriptive and cross-sectional study was carried out at the Family Doctor's Office 17-19 in the municipality of Santa Clara. The study covered the months of January to March 2020. Of the 256 hypertensive patients, a sample of 52 was selected by a simple random method.Results: Males predominated (53.84 %), together with the age group between 40 and 49 years (28.84 %). A total of 63.46 % of the patients were white-skinned. 51.61% presented risk factors. The risk factors with the highest incidence were smoking, followed by obesity and sedentary lifestyle.Conclusions: the most affected hypertensive patients are male. Most patients have a family history of high blood pressure. Smoking is a high incidence risk factor in the hypertensive population.Introducción: la hipertensión arterial es una enfermedad crónica no transmisible, que a la vez constituye un factor de riesgo para el desarrollo de otras enfermedades. La incidencia de la hipertensión arterial en la población de Cuba es alta.Objetivo: caracterizar el comportamiento de la hipertensión arterial en un Consultorio Médico de Familia.Métodos: se realizó un estudio observacional, descriptivo y transversal en el Consultorio Médico de Familia 17-19 del municipio Santa Clara. El período de estudio comprendió los meses de enero a marzo del 2020. La población fue de 256 hipertensos y se escogió una muestra de 52 hipertensos por muestreo aleatorio simple.Resultados: predominó el sexo masculino (53,84 %), y el grupo de edad entre 40 y 49 años (28,84 %). El 63,46 % de los pacientes fueron de color de la piel blanca. El 51,61 % presentaron factores de riesgo. Los factores de riesgo de mayor incidencia fueron el tabaquismo, seguido por la obesidad y el sedentarismo.Conclusiones: los pacientes hipertensos más afectados son los del sexo masculino. La mayor parte de los pacientes tienen antecedentes familiares de hipertensión arterial. El tabaquismo es un factor de riesgo de alta incidencia en la población hipertensa

Are network indices robust indicators of food web functioning ? A Monte Carlo approach

Indices based on network theory are often used to describe food web functioning. These indices take as input food web flows that are estimated based on merging of (scarce) data with linear inverse methods (LIMs). Due to under sampling, most food webs are highly uncertain and can only be quantified within a specific uncertainty range. The linear inverse method (LIM) can estimate food web flows using a variety of techniques, e.g. the parsimonious or minimum norm (MN) solution, which selects one food web, based on a quadratic minimization technique or the Monte Carlo solution where a finitely many random solutions are generated which are then averaged. We use the Monte Carlo approach (MCA) to estimate the values of several indices from four published food webs, the Gulf of Riga for the autumn, summer and spring seasons, and the Takapoto atoll system. We first show that network indices are much better constrained than the uncertain food webs from which they are calculated. Therefore, even in the face of food web uncertainty, they are robust estimators of food web functioning. We then use the MCA-derived network indices to generate cumulative density functions for each index. These serve to compute the probabilities of the MN indices estimates being an extreme solution as compared to the median values. Our findings show that 82% of the MN solutions are smaller than the MCA solutions, and 63% of the network indices are significantly under-estimated.

Gaining insight into food webs reconstructed by the inverse method

The use of the inverse method to analyze flow patterns of organic components in ecological systems has had wide application in ecological modeling. Through this approach, an infinite number of food web flows describing the food web and satisfying biological constraints are generated, from which one (parsimonious) solution is drawn. Here we address two questions: (1) is there justification for the use of the parsimonious solution or is there a better alternative and (2) can we use the infinitely many solutions that describe the same food web to give more insight into the system? We reassess two published food webs, from the Gulf of Riga in the Baltic Sea and the Takapoto Atoll lagoon in the South Pacific. A finite number of random food web solutions is first generated using the Monte Carlo simulation technique. Using the Wilcoxon signed ranks test, we cannot find significant differences in the parsimonious solution and the average values of the finite random solutions generated. However, as the food web composed of the average flows has more attractive properties, the choice of the parsimonious solution to describe underdetermined food webs is challenged. We further demonstrate the use of the factor analysis technique to characterize flows that are closely related in the food web. Through this process sub-food webs are extracted within the plausible set of food webs, a property that can be utilized to gain insight into the sampling strategy for further constraining of the model. [KEYWORDS: Inverse method ; Carbon flow ; Food webs ; Parsimonious solution ; Mean solution ; Factor analysis (FA) ; Principal components (PC)]