MANAGEMENT PRACTICES ON VIRGINIA DAIRY FARMS

Livestock Production/Industries,

SAEA ENTERPRISE BUDGET SURVEY AND SUMMIT HIGHLIGHTS

Agricultural Finance,

Evaluating Software Development: A Case Study with Pasture Land Management (PLMS) Grazing Software

A process for evaluating and improving public domain software is presented for agents and faculty who author software and Web-based training. Extension, education, and conservation employees participated in workshops to learn about a Pasture Land Management System software program that enables farmers to experiment with alternative grazing methods. Users were questioned at initial workshop training and again 6 months later. The workshop evaluation showed concern about the software complexity. The follow-up questionnaire revealed the respondents\u27 priorities for technical improvements. The authors used the participants\u27 feedback to evaluate existing problems and prioritize improvements in the usability and functionality of the software

An evaluation of production and marketing strategies for eastern Virginia cash grain producers

Eastern Virginia grain producers face production and marketing decisions under conditions of considerable yield and price variability. Traditionally MOTAD and other risk programming models have relied on the variability of historical returns series as a proxy for the risk an individual producer experiences. The mean forecast deviation method provides an alternative to the standard method of calculating deviations for MOT AD models. This method was applied to an eastern Virginia cash grain farm to provide a farm plan based on expected prices during the first week of February. The acreages of com, soybeans, and small grains were specified based on soil type, government program participation, sales at harvest, storage, pre-harvest hedging, and post-harvest hedging. The expected farm plans for the 1987 crop year resulted in participation in the government commodity programs at all levels of risk aversion and for each crop and soil type. Elimination of government commodity programs from the model resulted in two major findings: wheat and barley doubled cropped with soybeans preformed well on both soil types and at all levels of risk aversion, and given 1987 expected prices, idling lower quality land was a profitable decision at all levels of risk aversion.Master of Scienc

Dairy science

Discusses issues related to seasonal price patterns affecting gross milk sales for individual dairy producers. Choices must be based on profitability of the farm business

Input Data Form for FRMDATA

This form is for the organization of farm data to be analyzed by the CMN farm Business Analysis System. Financial analyses and efficiency factors are calculated for the farm. Two analyses may be obtained. The first analysis is for the calendar year for which the data applies. These data are stored on a computer so that a farm progress report may be produced after several years of data are accumulated. Individual farm information is protected against disclosure to others. Farm code numbers are assigned to each farm with only the person assigning the codes and the farmer knowing the individual identity. Access to individual data files is restricted. Land Resource Areas are included as a restricted code. You have been given the codes if they apply. Enter a "zero" or null line if you do not have a code.Revisio

2009 NASS Cropland and Pastureland Rental Rates

Primarily a table from NASS of irrigated and non-irrigated crop and pasture rental rates for Virginia counties and localitie

The Income Side of Seasonal vs. Year-Round Pasture-based Milk Production

Discusses the issues related to seasonal price patterns affecting gross milk sales for individual dairy producers. The choice between seasonal or year-round production for pasture-based dairy farms must be based on profitability of the farm business