Farm-gate phosphorus balances and soil phosphorus concentrations on intensive dairy farms in the south-west of Ireland

peer-reviewedThis project was part funded by the European Research and Development Fund under INTERREG IIIB: Green Dairy Project Number 100 and partly by the Dairy Levy. Financial support for post-graduate students involved in this study was provided by the Teagasc Walsh Fellowship Scheme.Phosphorus (P) loss to water is a significant threat to water quality in Ireland. Agriculture is an important source of this P. There is concern about balancing agronomic requirements and environmental protection in regulations prescribing P management on farms. This study examined farm-gate (P) balances and soil test P (STP) concentrations on 21 dairy farms in the south west of Ireland over four years, from 2003 to 2006 inclusive. Stocking density on the farms averaged 2.4 (s.d. = 0.4) livestock units (LU) per ha. Annual mean import of P onto farms was 21.6 (1.9) kg P/ha. Fertilizer P accounted for 47% (0.041), concentrates 35% (0.060) and organic manures 18% (0.034) of imported P. The mean annual P balance per farm was 9.4 (1.2) kg/ha, ranging from –3 to 47 kg/ha and mean P use efficiency was 0.71 (0.05) ranging from 0.24 to 1.37. The mean STP per farm following extraction using Morgan’s solution was 8.15 (2.9) mg/L of soil and ranged from 4.4 (2.2) to 14.7 (6.4) mg/L. There was a positive relationship (R2 = 0.34; P < 0.01) between STP and P balance; farms with a deficit of P tended to have agronomically sub-optimal STP and vice versa. The high between- and withinfarm variation in STP indicates that farmers were either unaware or were not making efficient use of STP results, and consequently there was agronomically sub-optimal soil P status in some fields and potentially environmentally damaging excesses on others (often within one farm). There was considerable potential to improve P management practices on these farms with clear agronomic and environmental benefits.European UnionTeagasc Walsh Fellowship ProgrammeDairy Levy Fun

Do health investments improve agricultural productivity?

Determining the causality between health measures and both income and labor productivity remains an ongoing challenge for economists. This review paper aims to answer the question: Does improved population health lead to higher rates of agricultural growth? In attempting to answer this question, we survey the empirical literature at micro and macro levels concerning the link between health investments and agricultural productivity. The evidence from some micro-level studies suggests that inexpensive health interventions can have a very large impact on labor productivity. The macro-level evidence at the country and global level, however, is mixed at best and in some cases suggests that health care interventions have no impact on income, much less on agricultural productivity. At both micro and macro levels, the literature does not provide a clear-cut answer to the question under investigation. Overall, the review reveals a great deal of heterogeneity in terms of estimation methods, definition and measurement of health variables, choice of economic outcomes, single-equation versus multiple-equation approach, and static versus dynamic approach. The actual magnitude of estimated elasticities is difficult to assess in part due to estimation bias caused by the endogeneity of health outcomes. We also found significant gaps in the literature; for example, very little attention is given to demand for health inputs by rural populations and farmers.Agriculture, Growth, health, Investment, Nutrition, productivity,

The Impact of Insurance on the Law of Torts

An experimental study of "Model-on-Demand" (MoD) identification is made on a pilot-scale brine-water mixing tank. MoD estimation is compared against semi-physical modeling techniques using identification data generated from a systematically designed m-level Pseudo Random Sequence (PRS) input. The estimated models are the basis for evaluating the usefulness of MoD-based Model Predictive Control (MPC). For this application, MoD-MPC is shown to provide better performance at high bandwidths compared to a linear MPC controller

Inelastic Collapse of Three Particles

A system of three particles undergoing inelastic collisions in arbitrary spatial dimensions is studied with the aim of establishing the domain of ``inelastic collapse''---an infinite number of collisions which take place in a finite time. Analytic and simulation results show that for a sufficiently small restitution coefficient, $0\leq r<7-4\sqrt{3}\approx 0.072$, collapse can occur. In one dimension, such a collapse is stable against small perturbations within this entire range. In higher dimensions, the collapse can be stable against small variations of initial conditions, within a smaller $r$ range, $0\leq r<9-4\sqrt{5}\approx 0.056$.Comment: 6 pages, figures on request, accepted by PR

A Local Cooperative's Financial and Strategic Analysis of the Evaluation of Potential Merger Partners

This is a two-part teaching case developed through in-person interviews which were conducted with the managers of locally owned farm supply/grain marketing cooperatives in Indiana and Colorado in the spring of 2000. The case has been written so that each part can be used individually or together and can also be used in either the undergraduate classroom or in extension programming with cooperative managers and directors. Part I focuses on how to use financial analysis in business reorganization decisions and Part II focuses on how to analyze alternative business reorganization possibilities from a strategic management perspective.Cooperatives, Mergers, Evaluation of alternative business strategies, Agribusiness,

Driving Forces and Success Factors for Mergers, Acquisitions, Joint Ventures, and Strategic Alliances among Local Cooperatives

Agribusiness,