Crop Insurance For Maryland Field Crops And Livestock

Multi-peril crop insurance is a valuable risk management tool which allows you to insure against losses on your farm due to adverse weather conditions, price fluctuations, and unavoidable pests and diseases. It shifts unavoidable production risks to an insurance company for the payment of a fixed amount of premium per acre. This publication assists readers in understanding the basics of the federal crop insurance program.

Resolución 12: Precios agrícolas y otras medidas = Resolution 12: Agricultural prices and crop insurance = Résolution 12: Prix agricoles et assurance des récoltes

El símbolo E/840/Rev.1 corresponde a la edición bilingüe inglés/francés publicada en 1953

All risk crop insurance.

Cover title.

Recommendations and findings to improve the federal crop insurance program : principal report of the Commission for the Improvement of the Federal Crop Insurance Program.

Mode of access: Internet.

Review of the federal crop insurance system : hearings before the Subcommittee on General Farm Commodities and Risk Management of the Committee on Agriculture, House of Representatives, One Hundred Ninth Congress, second session, March 15, April 26, 2006.

"Serial no. 109-27."

Hearing to review the federal crop insurance program : hearing before the Subcommittee on General Farm Commodities and Risk Management of the Committee on Agriculture, House of Representatives, One Hundred Tenth Congress, first session, May 14, 2007.

"Serial no. 110-22."

Hearing to review the state of the crop insurance industry : hearing before the Subcommittee on General Farm Commodities and Risk Management of the Committee on Agriculture, House of Representatives, One Hundred Tenth Congress, first session, Tuesday, May 1, 2007.

"Serial no. 110-15."

Federal all-risk crop insurance : why?

Mode of access: Internet.

Compilation of statutes relating to soil conservation, marketing quotas and allotments, soil bank, Commodity Credit Corporation, price support, export and surplus removal, crop insurance, sugar payments and quotas, marketing agreements and orders, and related statutes.

Issued Jan. l, 1953- as U.S. Dept. of Agriculture. Agriculture handbook, no. 49, 79, 113, 192, 242, 281, 317, etc.

Federal Crop Insurance Program Expands in 2016 and 2017 to Cover More Organic Crops

Organic agriculture represents one of the fastest growing segments of U.S. agriculture (USDA-RMA). With this in mind, the USDA’s Risk Management Agency (RMA) continues to expand crop insurance options for organic growers. In 2016 and 2017, organic producers in Maryland will see additional crops with organic crop insurance options. Increasing crop insurance options will allow this segment of producers new opportunities to manage their risks.

Computing probable maximum loss in catastrophe reinsurance portfolios on multi-core and many-core architectures

In the reinsurance market, the risks natural catastrophes pose to portfolios of properties must be quantified, so that they can be priced, and insurance offered. The analysis of such risks at a portfolio level requires a simulation of up to 800 000 trials with an average of 1000 catastrophic events per trial. This is sufficient to capture risk for a global multi-peril reinsurance portfolio covering a range of perils including earthquake, hurricane, tornado, hail, severe thunderstorm, wind storm, storm surge and riverine flooding, and wildfire. Such simulations are both computation and data intensive, making the application of high-performance computing techniques desirable.

In this paper, we explore the design and implementation of portfolio risk analysis on both multi-core and many-core computing platforms. Given a portfolio of property catastrophe insurance treaties, key risk measures, such as probable maximum loss, are computed by taking both primary and secondary uncertainties into account. Primary uncertainty is associated with whether or not an event occurs in a simulated year, while secondary uncertainty captures the uncertainty in the level of loss due to the use of simplified physical models and limitations in the available data. A combination of fast lookup structures, multi-threading and careful hand tuning of numerical operations is required to achieve good performance. Experimental results are reported for multi-core processors and systems using NVIDIA graphics processing unit and Intel Phi many-core accelerators.

Selecting crop models for decision making in wheat insurance

In crop insurance, the accuracy with which the insurer quantifies the actual risk is highly dependent on the availability on actual yield data. Crop models might be valuable tools to generate data on expected yields for risk assessment when no historical records are available. However, selecting a crop model for a specific objective, location and implementation scale is a difficult task. A look inside the different crop and soil modules to understand how outputs are obtained might facilitate model choice. The objectives of this paper were (i) to assess the usefulness of crop models to be used within a crop insurance analysis and design and (ii) to select the most suitable crop model for drought risk assessment in semi-arid regions in Spain. For that purpose first, a pre-selection of crop models simulating wheat yield under rainfed growing conditions at the field scale was made, and second, four selected models (Aquacrop, CERES- Wheat, CropSyst and WOFOST) were compared in terms of modelling approaches, process descriptions and model outputs. Outputs of the four models for the simulation of winter wheat growth are comparable when water is not limiting, but differences are larger when simulating yields under rainfed conditions. These differences in rainfed yields are mainly related to the dissimilar simulated soil water availability and the assumed linkages with dry matter formation. We concluded that for the simulation of winter wheat growth at field scale in such semi-arid conditions, CERES-Wheat and CropSyst are preferred. WOFOST is a satisfactory compromise between data availability and complexity when detail data on soil is limited. Aquacrop integrates physiological processes in some representative parameters, thus diminishing the number of input parameters, what is seen as an advantage when observed data is scarce. However, the high sensitivity of this model to low water availability limits its use in the region considered. Contrary to the use of ensembles of crop models, we endorse that efforts be concentrated on selecting or rebuilding a model that includes approaches that better describe the agronomic conditions of the regions in which they will be applied. The use of such complex methodologies as crop models is associated with numerous sources of uncertainty, although these models are the best tools available to get insight in these complex agronomic systems.

Adaptation of coastal communities in the Philippines to the impacts climate change

The Quedan and Rural Credit Guarantee Corporation (Quedancor) of the Philippine Department of Agriculture has the critical responsibility of providing and improving credit assistance to fishers, it also has the task of helping its beneficiaries meet the repayment obligations of their loans. One reason for defaults can be attributed to the devastating impact of natural calamities. Schemes in place are still insufficient to help safeguard lending programs and operations from non-repayment of loans due to production losses and damages to personal properties.(PDF contains 5 pages) Natural calamities include the uncertainties and vagaries of weather and climate that bring about typhoons, floods, and drought; earthquakes; volcanic eruption as well as pests and diseases that affect the productivity of fisheries. When natural calamities occur, small fishers are unable to pay their loans from Quedancor, moreover they have difficulty renewing their loan applications from Quedancor or accessing credit from other sources. Failure to access credit could disable them to continue venture on fishing activities and could eventually jeopardize the welfare of their entire household. The inability of creditors to pay their loans and meet their obligations also impair, to a large extent, the financial operation and viability of the lending institutions. Risk management schemes currently employed include price stabilization measures, targeted relief` to typhoons and drought victims, and crop insurance systems, to name a few. Some of these schemes are becoming very expensive to implement. Moreover, they fail to enable fishers regain sufficient resources so that they may continue production.