December 07, 2015

4 Step Weed Control Plan for Corn or Soybeans

Since the 1960’s farmers have been using herbicides to control weeds. Frankly, herbicide formulations haven’t changed that much and the weeds have managed to find ways to adapt. Todd Gleason has this four step plan from the Univesity of Illinois to control them in corn or soybeans.

November 03, 2015

Four Step Weed Control Plan for 2016

Farmers battling herbicide resistant weeds are running out of control options. University of Illinois Extension Weed Scientist Aaron Hager has this four step recommendation. You may read detailed information of his four step weed control plan online.

October 30, 2015

Farmland Prices and Farm Solvency Then & Now

There are some big differences between the farm crisis of the 1980’s and the current situation in middle America. Then, as now, commodity price had slumped after soaring for a few years. The price of farmland had skyrocketed, too, just like now. However, unlike today interest rates were high and farmers were deep in debt when the price of farmland finally bottomed 42 percent below its high. Gary Schnitkey wanted to know what would happen today in that kind of worst case scenario. So he ran the numbers.

October 30, 2015

Field & Furrow 80th Anniversary Celebration

Join the University of Illinois Field and Furrow Club in celebrating 80 years and progress on the Turner Hall Renovation! The weekend of events are free thanks to generous support from an alumnus.

Registration is required.

October 21, 2015

The Regular Climate Pattern of Brazil

They say it is best to keep your friends close and your …let’s go with competitors in the soybean market… even closer. Todd Gleason has this story on how weather patterns in Brazil generally unfold year in and year out.

September 16, 2015

How to Read the FSA Acreage Dump

Wednesday (September 16, 2015) the Farm Service Agency released a new set of numbers. While these are preliminary figures of acreage and crops, they do offer a hint of things to come in future official USDA estimates.

August 11, 2015

How Crop Production Reports are Collected

USDA’s National Agricultural Statistics Service (NASS) will release the first survey-based yield and production forecasts for the 2015 corn and soybean crops this month. Even though a description of the NASS crop production forecast methodology is widely available, there always seems to be some misconceptions about how NASS makes corn and soybean yield forecasts. University of Illinois agricultural economists Darrel Good and Scott Irwin put together a brief overview of that methodology and posted it to the FarmDocDaily website.

While they say their summary does not do full justice to the very comprehensive forecasting methodology, it is useful to place the upcoming yield forecasts in the proper perspective.

NASS corn and soybean yield forecasts are made in August, September, October and November. The final yield estimate is released in January based on the comprehensive December Agricultural Survey of producers. Two types of surveys are used each month to collect the forecast data.

The Monthly Agricultural Yield Survey (AYS) of producers is conducted in 32 states for corn and 29 states for soybeans with a total of about 25,000 producers surveyed for all crops in August. The Objective Yield Survey (OYS) is conducted in 10 states for corn and 11 states for soybeans. The surveys are generally conducted in a two week period ending about a week before the release of the forecasts.

For the Agricultural Yield Survey, a sample of farm operations to be surveyed is drawn from those who responded to the June acreage survey. While the sample of operations to be surveyed changes from year-to-year, for any particular year the same operations are interviewed each month from August through November. Survey respondents are asked to identify the number of acres of corn and soybeans to be harvested and to provide a forecast of the final yield of each crop. Based on these responses, average yields are forecast for each survey state and for the nation.

The goal of the Objective Yield Survey program is to generate yield forecasts based on actual plant counts and measurements .The sample of fields (1,920 for corn and 1,835 for soybeans) is selected from farms that reported corn (soybeans) planted or to be planted in the June acreage survey. A random sample of fields is drawn with the probability of selection of any particular field being proportional to the size of the tract. Two plots are then randomly selected in each field.

Data collected from each corn plot during the forecast cycle are used to measure the size of the unit and to measure or forecast the number of ears and grain weight. These data include (as available based on maturity) row width, number of stalks per row, number of stalks with ears or ear shoots per row, number of ears with kernels, kernel row length, ear diameter, ear weight in dent stage, weight of shelled grain, moisture content, total ear weight of harvested unit, lab weight of sample ears, weight of grain from sample ears, and moisture content of shelled grain from sample of mature ears. Corn yield is forecast based on the forecast (or measurement if maturity allows) of the number of ears, the weight per ear, and harvest loss.

Data collected from soybean plots (as available based on maturity) include row width; number of plants in each row; number of main stem nodes, lateral branches, dried flowers and pods, and pods with beans; weight and moisture content of beans harvested by enumerator; and weight and moisture content of harvest loss. The data collected are used to forecast yield based on a forecast (or measurement if maturity allows) of the number of plants per acre, the number of pods with beans per plant, the average bean weight, and harvest loss.

For both corn and soybeans, the state average yield forecast based on the Objective Yield Survey is the simple average of the yields for all the sample fields. In addition, a state yield forecast is also made by first averaging the forecast or actual yield factors (such as stalk counts, ear counts, and ear weight) and then forecasting the state average yield directly from these averages. This forecast is based on a regression analysis of the historical relationship (15 years) between the yield factors and the state average yield. State average yields are combined to forecast the U.S. average yield.

The NASS corn and soybean survey and forecasting procedures produce a number of indictors of the average yield. In August these indicators include: average field level yields from the Objective Yield Survey, average state level counts from the Objective Yield Survey, and the average yield reported by farmers in the Agricultural Yield Survey. Each of the indicators provides input into the determination of the official yield forecasts by the USDA’s Agricultural Statistics Board.

The accuracy of the USDA yield forecasts, write Darrel Good and Scott Irwin, relative to the final yield estimates varies from year to year, but as would be expected, improves each month through the forecast cycle as the crops become more mature.



Understanding USDA Crop Forecast

Marketing & Outlook Brief

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