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This column was originally published in Illinois AgriNews during the month indicated and is reprinted here by permission.

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Illinois AgriNews - July 2004

Understanding and Using USDA’s Weekly Report of Crop Conditions

Scott Irwin and Darrel Good
Department of Agricultural and Consumer Economics
University of Illinois at Urbana-Champaign

The USDA’s weekly report of crop conditions is one of the most widely followed indicators of corn and soybean yield potential. The survey and estimating procedures for this report are much different than for most surveys conducted by the USDA. For example, the monthly corn and soybean production forecasts rely on a June acreage estimate based on a survey of farmers and on a separate area frame sample. Monthly yield forecasts are also based on a survey of farmers and objective yield estimates based on an area frame sampling design where fields are randomly selected for observation and measurement.

In contrast, the crop condition surveys “are non-probability surveys that include a sample of more than 5,000 reporters whose occupations provide them opportunities to make visual observations and frequently bring them in contact with farmers in their counties.” These reporters indicate the percent of the crop in five condition categories, including very poor, poor, average, good, and excellent. Reports reflect conditions, or expected conditions, as of Sunday. Nearly two-thirds of the reports are submitted through a secure web site and about half of all data are submitted on Monday morning. The data are reviewed at the state level for reasonableness and consistency and submitted to the Agricultural Statistics Board which then releases condition estimates each Monday for each of 18 states and a weighted average of all the states.

Analysts use the crop condition data in a variety of ways to anticipate crop yields and production. We have found that the percentage of the crop rated good or excellent for all states in the final report of the season is reasonably correlated with the U.S. average yield. Because there has been a trend increase in average yield over a long period of time, historical yield data must be adjusted for the trend and then the adjusted yield is correlated to the percent of the crop rated good or excellent. For the current year, then, all historical data are expressed in terms of 2004 equivalent yields in order to calculate the correlation to crop conditions. Using data over the past 18 years, the percent of the crop rated good or excellent in the final report of the year explains 86 and 83 percent of the variation in trend-adjusted yield for corn and soybeans, respectively.

During the growing season, the forecast yield can be calculated assuming that the current weekly crop ratings are maintained to the end of the season, or on the basis of any other assumption about crop condition ratings that the user wishes to make. For example, 74 percent of the 2004 corn crop and 68 percent of the soybean crop were rated in good or excellent condition as of July 11. If those ratings are maintained through the end of the season, past relationships project to a national average yield of 148.3 bushels for corn and 41.9 bushels for soybeans.

There are limitations to using crop condition ratings as an indicator of yield potential, but they do provide useful information. The trick is to forecast the end-of-year ratings!!



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