On Farm Feeding;Replacing Bought in Pig Feed with Home-Grown Straights at Sheepdrove Organic Farm

Organic systems aim to operate in an ecological and economical way, importing cereals grown thousands of miles away, processed at a mill and then transported again to our farms is costly in oil and therefore money. It is neither ecologically nor economically sustainable. British farms are capable of producing a large amount of high quality cereal, the majority of which is usually sold. Transportation and processing of the grain uses oil and leaves farms vulnerable to market prices. If farmers could formulate diets and feeding programmes for their poultry and pig systems using home-grown cereals, market variables, oil emissions and costs could be cut dramatically

On Farm Feeding Poultry Trial: Wholegrain Wheat in the Commercial System

Organic systems aim to operate in an ecological and economic way. Importing cereals grown thousands of miles away, processed at a mill and then transported again to our farms is costly in oil and therefore money. It is neither ecologically nor economically sustainable. British farms are capable of producing a large amount of high quality cereal, the majority of which is usually sold. Transportation and processing of the grain uses oil and leaves farms vulnerable to market prices. If farmers could formulate diets and feeding programmes for their poultry and pig systems using home-grown cereals, market variables, oil emissions and costs could be cut dramatically

Likelihood Inference for Models with Unobservables: Another View

There have been controversies among statisticians on (i) what to model and (ii) how to make inferences from models with unobservables. One such controversy concerns the difference between estimation methods for the marginal means not necessarily having a probabilistic basis and statistical models having unobservables with a probabilistic basis. Another concerns likelihood-based inference for statistical models with unobservables. This needs an extended-likelihood framework, and we show how one such extension, hierarchical likelihood, allows this to be done. Modeling of unobservables leads to rich classes of new probabilistic models from which likelihood-type inferences can be made naturally with hierarchical likelihood.Comment: This paper discussed in: [arXiv:1010.0804], [arXiv:1010.0807], [arXiv:1010.0810]. Rejoinder at [arXiv:1010.0814]. Published in at http://dx.doi.org/10.1214/09-STS277 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

100% local and organic: closing the protein gap for poultry in the ICOPP Project

A key challenge in improving the sustainability of organic poultry production is meeting the required levels of nutrients from locally sourced organic feeds. 100% organic diets for monogastrics will become compulsory in the EU from 1st January 2015. The ICOPP project brings together knowledge, from 10 EU countries, of local feeds for monogastrics and their wider impact on growth, health and welfare and the environment to identify feeding strategies which comply with organic principles. This poster will report on feeding trials carried out with broilers in the UK by FAI and ORC to investigate the impact of algae, peas and lupins on broiler performance and welfare

Making poultry feed more sustainable

The tool shows two alternatives to organic soya: oilseed rape and sunflower seeds. It is a written report providing information and research outlines regarding their potential in poultry feed. The nutritional differences of different crops are described in detail and agronomic advice on how to grow the crops is provided. Aimed at organic farmers in the UK, but relevant to all northern European countries

The analysis of very small samples of repeated measurements II: a modified box correction

There is a need for appropriate methods for the analysis of very small samples of continuous repeated measurements. A key feature of such analyses is the role played by the covariance matrix of the repeated observations. When subjects are few it can be difficult to assess the fit of parsimonious structures for this matrix, while the use of an unstructured form may lead to a serious lack of power. The Kenward-Roger adjustment is now widely adopted as a means of providing an appropriate inferences in small samples, but does not perform adequately in very small samples. Adjusted tests based on the empirical sandwich estimator can be constructed that have good nominal properties, but are seriously underpowered. Further, when such data are incomplete, or unbalanced, or non-saturated mean models are used, exact distributional results do not exist that justify analyses with any sample size. In this paper, a modification of Box's correction applied to a linear model based $F$-statistic is developed for such small sample settings and is shown to have both the required nominal properties and acceptable power across a range of settings for repeated measurements

Investigation of change in shear wave velocity with increasing applied stress for two samples from Holme Pierrepoint

The development of capability in the measurement of superficial deposit thickness has required laboratory testing to integrate with values obtained from field trials of a number of methodologies and equipment. The use of shear waves to detect the base of a deposit depends on an accurate knowledge of the internal velocities of the material in the deposit. It is also important to know the shear wave velocities of the materials at the deposit interface. The site used for initial assessment of equipment and methodologies was a series of sand, silt and gravel layers overlying a weathered mudstone. There are a number of interfingered facies within the body of the deposit, which may have differing interval velocities. The object of this laboratory study is to determine the shear wave velocities through undisturbed samples of the deposit material and the underlying solid geology. The samples under test are silty fine sand and the weathered mudstone. The gravel layers could not be sampled in an undisturbed state and have not been included in this study

Subgrade geology beneath railways in Manchester

It is not sufficient to identify fine-grained soils, only, as locations for potential subgrade problems as could be done using a traditional 2D geological map. More information is required about the geological structure, lithological variability, mineralogy, moisture content and geotechnical properties of the soil, much of which can be supplied by modern 3D geospatial databases. These databases can be interrogated at key depths to show the wide variability of geological materials and conditions beneath the ground surface. Geological outcrop and thickness of bedrock an superficial deposits (soils), plus the permeability and water table level are predicted from the Manchester geospatial model that is based on 6500 borehole records. Geological sections along railway routes are modelled and the locations of problem soils such as alluvium, till and glaciolacustrine deposits at outcrop and shallow subcrop are identified. Spatial attribution of geotechnical data and simple methods to recast sections in engineering geological terms are demonstrated

An Estimation of the Gamma-Ray Burst Afterglow Apparent Optical Brightness Distribution Function

By using recent publicly available observational data obtained in conjunction with the NASA Swift gamma-ray burst mission and a novel data analysis technique, we have been able to make some rough estimates of the GRB afterglow apparent optical brightness distribution function. The results suggest that 71% of all burst afterglows have optical magnitudes with mR < 22.1 at 1000 seconds after the burst onset, the dimmest detected object in the data sample. There is a strong indication that the apparent optical magnitude distribution function peaks at mR ~ 19.5. Such estimates may prove useful in guiding future plans to improve GRB counterpart observation programs. The employed numerical techniques might find application in a variety of other data analysis problems in which the intrinsic distributions must be inferred from a heterogeneous sample.Comment: 15 pages including 2 tables and 7 figures, accepted for publication in Ap