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United States Department of Agriculture

Agricultural Research Service

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WEPS - Researcher, Developer, Public Release

WEPS • The Wind Erosion Prediction System, is a tool for predicting the effects of management (practices and cropping rotations) on the wind erosion potential for a selected field site. WEPS simulates daily wind erosion processes based on weather, management crop rotations and soil conditions. The researcher, developer, public configuration allows full use of experimental methods available in WEPS for research, development and public purposes domestically and internationally.

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WEPS - NRCS, TSP Configuration

WEPS (NRCS TSP Configuration)• This configuration of WEPS (Wind Erosion Prediction System) is required for use by NRCS TSP (Technical Service Provider) contractors when conducting NRCS official business. NRCS contact is Joel Poore, NRCS Wind Erosion Specialist at Joel.Poore@ftw.usda.gov or 817-509-3213.

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GPFARM

GPFARM is a simulation model computer application. It incorporates state of the art knowledge in agronomy, animal science, economics, weed science and risk management into a user-friendly, decision support tool. Producers, agricultural consultants, action agencies and scientists can utilize GPFARM to test alternative management strategies that may in turn lead to sustainable agriculture, a reduction in pollution, or maximum economic return.
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SHOOTGRO

SHOOTGRO emphasizes the development and growth of the shoot apex of small-grain cereals such as winter and spring wheat (Triticum aestivum L.) and spring barley (Hordeum vulgare L.). To better incorporate the variability typical in the field, up to six cohorts, or age classes, of plants are followed using a daily time step.
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PhenologyMMS

PhenologyMMS is a simulation model that outlines and quantifies the developmental sequence of different crops under varying levels of water deficits, provides developmental information relevant to each crop, and is intended to be used either independently or inserted into existing crop growth models.
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HIRO2

HIRO2 (Hortonian Infiltration and Run-Off/On) is a spatially distributed rainfall-runoff model for event-based studies of space-time watershed processes. A grid-based routing hierarchy was defined over the watershed using the D-infinity contributing area algorithm. Computation of ponding time was included to handle variable run-on and rainfall intensity.
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IFEAT

iFEAT (iFARM Economic Analysis Tool) is a spreadsheet based tool developed to allow the user to assess current and potential management options for economic sustainability.  The user can evaluate lease arrangements, input costs, government programs, and insurance options to arrive at the best economic combination of these variables.

 

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PAL

Profit and Loss (PAL) Farm Budgeting Economic Software for Colorado Agriculture is a windows desktop software for analyzing farm operations budgets. The software was developed in cooperation with Colorado State University.

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SPUR2

SPUR2 DOS ver. 2.2 is a general grassland ecosystem simulation model designed to determine beef cattle performance and production by simultaneously simulating production of up to 15 plant species on 36 heterogeneous grassland sites. SPUR2 simulates grassland hydrology, nitrogen cycling, and soil organic matter on grazed ecosystems as well as rangeland production under different climatic regimes, environmental conditions, and management alternatives.
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iFarm Record Keeper

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RZWQM2

Root Zone Water Quality Model 2 (RZWQM2) is a whole-system model for studying crop production and environmental quality under current and changing climate conditions. It emphasizes the effects of agricultural management practices on physical, chemical and biological processes. RZWQM2 is a one-dimensional model with a pseudo 2-dimensional drainage flow. Crop simulation options include the generic plant growth model, DSSAT-CSM 4.0 and HERMES SUCROS models. It also can simulate surface energy balance with components from the SHAW model and water erosion from the GLEAMS model. An automated parameter estimation algorithm (PEST) was added to RZWQM2 for objective model calibration and uncertainty analysis.

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Last Modified: 09/21/2017
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