Studies on the nutrition and metabolism of turbot (Scophthalmus maximus L) with reference to fish farming

This thesis provides the first detailed study of maximal oxygen consumption of turbot on a fish farm over a range of fish sizes and temperatures. Also provided is a study of the diets used in turbot farming and the development of a diet that contains no fresh fish. A detailed study of previous research on flatfish nutrition, identified fresh fish, sprat in particular, as the optimum diet for turbot farming. A series of experiments was undertaken that confirmed this and also identified one possible explanation for the optimum performance of sprat, as a function of high non-protein energy ratios in sprat. This factor was exploited in the production of a diet containing no fresh fish and which produced superior results to diets containing fresh fish; the optimum level of lipid in the diet was determined as 18%. The study of oxygen consumption was on fully-fed fish so that maximum demand could be quantified. Continuous monitoring of tank water oxygen levels enabled the calculation of the Specific Dynamic Action (SDA) effect in turbot and the relation of it to dietary energy. Variation of SDA with the dietary energy profile was identified as a contributing factor to differential fish growth on various diets. Finally, the implications of this work to fish farming were considered. Economic appraisal and comparison of the diets routinely used in turbot farming identified that the diet developed as a result of this work, ie the diet containing no fresh fish protein, was more cost effective on the basis of the production of one tonne of turbot. The study of oxygen consumption enables water supply to be calculated for any fish size between 1g and 1000g between the temperatures of 7® C and 16® C. The quantification of SDA enables correct adjustment of oxygen flows according to the feeding status of the fish.

Rethinking policy options for industry:Appropriateness of policies for industry and UK farming and food

Purpose - Studies the implementation of lean supply and partnership relationships in the UK food and farming industry to assess if these types of interventions are effective. Design/methodology/approach - Reviews the challenges affecting the UK supply chain for red meat. Describes the initiatives that were set up to develop a lean supply chain management approach and examines their application in the UK pig and beef industries. Assesses if these changes benefited all participants in the supply chains. Uses semi-structured interviews with key actors in each stage of the supply chain to do this, identifying the power relations within the supply chains and how these affected the outcomes for those participating in the chain. Findings - Concludes that lean initiatives were appropriate for the pig industry but were of limited value for the beef industry. Even within the pig industry, highlights that benefits were not shared equally, with producers, in particular, losing out. Lastly, points out that lean supply chain management is unlikely to be appropriate operationally and commercially in all circumstances in one industry. Argues for a differentiated policy approach and sets out a framework which enables decision makers to select industrial policy options. Research limitations/ implications - Describes the analysis and the framework developed from it. Originality/value - Assesses the effectiveness of lean supply chain management.

IT as enabler of sustainable farming:an empirical analysis of farmers' adoption decision of precision agriculture technology

Precision agriculture (PA) describes a suite of IT based tools which allow farmers to electronically monitor soil and crop conditions and analyze treatment options. This study tests a model explaining the difficulties of PA technology adoption. The model draws on theories of technology acceptance and diffusion of innovation and is validated using survey data from farms in Canada. Findings highlight the importance of compatibility among PA technology components and the crucial role of farmers' expertise. The model provides the theoretical and empirical basis for developing policies and initiatives to support PA technology adoption.

An overview of Total Factor Productivity estimations adjusted for pollutant outputs:an application to sugarcane farming

The conventional Total Factor Productivity (TFP) measurement does not incorporate the effects of undesirable outputs, which are harmful to the environment. Using sugarcane farming in Kenya, this paper illustrates the differences between the conventional Malmquist index measures where the environment variable is not adjusted and environment-adjusted measures using both hyperbolic and directional distance functions. The mean TFP change estimates for the conventional Malmquist index, adjusted hyperbolic index and Luenberger indicator were 3.13%, 0.11% and 2.21%, respectively. The conventional non-adjusted measure lies between the two adjusted measures of hyperbolic index and Luenberger indicator. © 2012 Inderscience Enterprises Ltd.