As part of the cotton forecasting research reported by Hendricks and Huddleston elsewhere in this issue, intensive studies are conducted in an attempt to make more accurate predictions of the quantity of immature fruit on the plants, as of a given date, which will develop to maturity and...

Fruit and nut production in Oregon and other important producing areas is highly commercialized. Sales of many of these commodities are controlled by Federal marketing agreements to provide for orderly marketing of each year's crop. Officers of grower and processor organizations who are charged...

Preharvest production forecasts can be combined with contemporaneous price quotations for futures contracts to estimate demand equations, but the methodology has limitations for estimating structural coefficients An application using data for corn highlights the difficulties The methodology,...

Reports on prospective plantings are designed to aid farmers in deciding among alternative crops before the planting season. In this connection, they are a useful guide only insofar as they assist the farmer in forecasting probable levels of, or changes in, relative prices. Prices during the...

As a means of forecasting probable maturity dates of standard Elberta peaches, the growers in Mesa County, Colo., in past seasons have had only the 126-day average elapsed time from full bloom to the date of shipment of the first car. Methods for forecasting maturity dates more accurately than...

Timelessness and accuracy are paramount considerations in making estimates of sudden local damage to crops. Here is an account of one such appraisal and just how it was made.

Georgia peanut farmers have adopted Integrated pest management (lPM) on only a limited basis, although objective data indicate that IPM technology may be more efficient than conventional pest control strategies Users and nonusers of IPM hold different views pertaining to the consequences of...

An approximate variance of forecast is derived based on the structural coefficients and the variance around the structural equations. For the corn model, standard error of price was estimated to be $0.23 per bushel when neither acreage nor yield are known and $0.11 per bushel when production is...

As part of the expanded research program in the Agricultural Estimates Division, Agricultural Marketing Service, United States Department of Agriculture, extensive plant observations were made over the old Cotton Belt during the 1954 season. The data were studied in relation to final yields so...