November 2, 2016

Assessing South American Corn and Soybean Yield Risks: Exploring the Data Sources

Darrel Good, Todd Hubbs, and Scott Irwin

Department of Agricultural and Consumer Economics
University of Illinois

farmdoc daily (6):207


Recommended citation format: Good, D., T. Hubbs, and S. Irwin. "Assessing South American Corn and Soybean Yield Risks: Exploring the Data Sources." farmdoc daily (6):207, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, November 2, 2016.

Permalink: http://farmdocdaily.illinois.edu/2016/11/assessing-south-american-corn-soybean-yield-risk.html


We have extensively analyzed the history of U.S. corn and soybean yields and deviations from trend yield as a basis for evaluating annual yield risk in the U.S. Examples include the farmdoc daily articles of February 26, 2015 and March 19, 2015, which examine the history of yield deviations from trend values not adjusted for growing season weather, and March 2, 2016 and March 9, 2016, which examine the history of yield deviations in years of El Niño episodes. Here, we start a series of articles that evaluate the history of corn and soybean yields and deviations from trend yield in Brazil and Argentina. Yield and production in those two countries have become increasingly important in determining the price of corn and soybeans as production and exports have expanded rapidly.

Background

Corn production in Brazil, for example, increased by 120 percent during the 20 years ending in 2016, while Argentine production increased by 80 percent. At the same time, soybean production increased by 260 percent in Brazil and by 450 percent in Argentina. For the 2014-15 marketing year, Brazil accounted for eight percent of world corn production and 24 percent of world exports and Argentina accounted for three percent of production and 13 percent of exports. Brazil accounted for 30 percent of world soybean production and 40 percent of world exports and Argentina accounted for 19 percent of production and eight percent of exports. The two countries also accounted for 67 percent of world soybean meal exports and 60 percent of world soybean oil exports. Each year, then, the size of the corn and soybean crops in Brazil and Argentina has a strong influence on the price of those two crops. There is special interest in 2017 yield and production prospects in those two countries for at least three reasons. First, yield and production in Brazil and Argentina were reduced in 2016 due to adverse weather conditions. The largest impacts were on corn in Brazil and soybeans in Argentina. Second, a weak to moderate La Niña episode is underway which may have some influence on growing season weather in those two countries. Third, Argentina is expected to sharply increase corn acreage due to reductions in corn export taxes.

Yield Data

Identifying and evaluating corn and soybean yield data for Brazil and Argentina is more complicated than for the U.S. In the U.S., one USDA agency, the National Agricultural Statistics Service (NASS), has the responsibility for estimating yields. Those estimates are based on extensive data collection and statistical analysis as detailed in the publication The Yield Forecasting Program of NASS. We have written extensively about U.S. corn and soybean yield forecasts issued by NASS (Good and Irwin, 2006; Good and Irwin, 2011; Irwin, Sanders and Good, 2014; farmdoc daily, August 28, 2013; August 29, 2014; August 18, 2016; August 26, 2016). In contrast, yield estimates for Brazil and Argentina are provided by at least three agencies. For both Brazil and Argentina, these include the Food and Agriculture Organization of the United Nations (FAO) and the USDA's Foreign Agricultural Service (FAS). In addition, in-country estimates for Brazil are provided by CONAB , The National Food and Supply Company, which is a public company allied with the Ministry of Agriculture, Livestock, and Supply for evaluating crop data. In-country estimates for Argentina are provided by the Argentina Ministry of Agribusiness. The yield estimating methodology used by these organizations is very different than used by NASS to make yield estimates for the U.S. To the best of our knowledge, these organizations use satellite data, information from field operators, and various statistical methodologies to derive area and yield estimates. The FAO calculates area and crop production data on the calendar year using figures supplied by member countries. Most of the data is accumulated via annual FAO questionnaires. The FAS makes production, supply, and distribution estimates from a variety of information sources on a marketing year basis for corn and soybeans. These sources include official country statistics, foreign agricultural attaché reports, and a variety of other information sources available to the organization.

Yield estimates provided by FAO are readily available for both countries for the period 1961 through 2014 for corn and soybeans. FAS yield estimates are readily available for corn for both countries from 1961 through 2016 and for soybeans from 1978 through 2016. In-country yield estimates are readily available for Argentina from 1970 through 2016 and for Brazil from 1977 through 2016. These yield estimates are shown in Tables 1 and 2. The yield estimates have been converted from metric units and reported as bushels per acre. Brazilian corn yield estimates are weighted averages of the first and second crops by using production and planted acreage for each crop during the year to calculate corn yield.

fdd021116_tab1.jpg

fdd021116_tab2.jpg

In general, the FAO corn and soybean yield estimates tend to be very consistent with in-country estimates for Argentina in the years that overlap. That is, FAO tends to accept and report in-country estimates. The one exception is the nearly four bushel difference in 2014. There have been frequent, but generally small differences between FAO and in-country corn and soybean estimates for Brazil. Yield estimates provided by FAS have frequently deviated by small amounts from both FAO and in-county estimates. However, some differences are large. Most notable are the 2006 Argentine corn yield estimates and the 1998 Brazilian soybean estimates.

While corn and soybean yield estimates from various sources tend to track fairly closely over time for both countries, frequent small differences and occasional large differences have occurred. To accurately assess future yield risks based on historical yields, it is best to use the "correct" historical yield series. Since FAO and in-country estimates are nearly identical, the choice is between FAO and FAS yield estimates. Based on our understanding of the methodology used by the agencies, we believe that FAS estimates likely reflect the most rigorous reconciliation of area, production, and yield estimates. We will use FAS yield estimates in future articles to evaluate yield risks for both crops for both countries, even though that choice results in fewer observations for soybean yields.

Figures 1 and 2 present the FAS yield estimates for corn from 1961 through 2016 and for soybeans from 1978 through 2016. Average yields for both crops in both countries have trended higher with frequent deviations above and below trend. Argentina corn yields have historically been higher than in Brazil, but rapid growth in Brazilian yields in the last decade has reduced the gap. Soybean yields in Argentina exceeded yields in Brazil through the 1980s, but yields have generally been in the same range since that time.

fdd021116_fig1.jpg

fdd021116_fig2.jpg

Implications

There are at least three sources of corn and soybean yield estimates for Brazil and Argentina, including those provided by the FAS of the USDA, FAO of the UN, and in-country agencies. FAO and in-country estimates are nearly identical for most years, while FAS estimates have deviated somewhat from the other two sources. We will use historical yield estimates provided by FAS in future articles to evaluate corn and soybean yield risk for 2017 in both countries based on historical deviations from trend yields not adjusted for growing season weather and adjusted for years La Niña conditions existed.

References

FAOSTAT. Food and Agriculture Organization of the United Nations. http://faostat.fao.org/beta/en/#data

Good, D., and S. Irwin. "USDA Corn and Soybean Production Forecasting Procedures Revisited with a Focus on Derived Ear Weight." farmdoc daily (3):164, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, August 28, 2013.

Good, D., and S. Irwin. "USDA Corn and Soybean Acreage Estimates and Yield Forecasts: Dispelling Myths and Misunderstandings." Marketing and Outlook Brief 2011-02, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, March 2011.

Good, D.L., and S.H. Irwin. "Understanding USDA Corn and Soybean Production Forecasts: Methods, Performance and Market Impact over 1970-2005." AgMAS Project Research Report 2006-01, Department of Agricultural and Consumer Economics, University of Illinois at Urbana Champaign, February 2006.

Irwin, S., and D. Good. "Opening Up the Black Box: More on the USDA Corn Yield Forecasting Methodology." farmdoc daily (6):162, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, August 26, 2016.

Irwin, S., and D. Good. "Understanding "Implied Ear Weight" in USDA's August Corn Yield Forecast." farmdoc daily (6):156, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, August 18, 2016.

Irwin, S., and D. Good. "Forming Expectations for the 2016 U.S. Average Soybean Yield: What About El Niño?" farmdoc daily (6):46, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, March 9, 2016.

Irwin, S., and D. Good. "Forming Expectations for the 2016 U.S. Average Corn Yield: What About El Niño?" farmdoc daily (6):41, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, March 2, 2016.

Irwin, S., and D. Good. "Forming Expectations for the 2015 U.S. Average Soybean Yield: What Does History Teach Us?" farmdoc daily(5):51, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, March 19, 2015.

Irwin, S., and D. Good. "Forming Expectations for the 2015 U.S. Average Corn Yield: What Does History Teach Us?" farmdoc daily (5):36, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, February 26, 2015.

Irwin, S., D. Good, and D. Sanders. "Are USDA Corn Yield Forecasts Getting Better or Worse over Time?" farmdoc daily (4):166, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, August 29, 2014.

Irwin, S.H., D.R. Sanders, and D.L. Good. "Evaluation of Selected USDA WAOB and USDA Forecasts and Estimates in Corn and Soybeans." Marketing and Outlook Research Report 2014-01, Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign, January 2014.

PSD Online. Foreign Agricultural Service, United States Department of Agriculture. https://apps.fas.usda.gov/psdonline/psdQuery.aspx

"The Yield Forecasting and Estimating Program of NASS," Statistical Methods Branch, Statistics Division, National Agricultural Statistics Service, U.S. Department of Agriculture, Washington, D.C., NASS Staff Report No. SMB 12-01. April 2012. https://www.nass.usda.gov/Education_and_Outreach/Understanding_Statistics/Yield_Forecasting_Program.pdf

We request all readers, electronic media and others follow our citation guidelines when re-posting articles from farmdoc daily. Guidelines are available here.

The farmdoc daily website falls under University of Illinois copyright and intellectual property rights. For a detailed statement, please see the University of Illinois Copyright Information and Policies here.