By Henrique Monaco and Joana Colussi et.al
Brazil’s soybean yields have grown faster than those in the United States, though this growth is not uniform across Brazil’s major producing regions (see farmdoc daily, February 20, 2025). While trend yields reflect the average rate of yield improvement over time, they do not capture the year-to-year variability that translates into production risk. This variability—measured as percent deviations from trend—offers key insights into the stability and reliability of yield growth. Building on previous analysis of Brazil’s trend yield potential and deviations (see farmdoc daily, January 12, 2017), this article examines how yield variability differs across Brazil’s main soybean-growing regions and compares these patterns to the main production regions in the U.S. Understanding relative production risk is essential for evaluating future agricultural expansion, its role in global supply chains, and the United States’s competitiveness with Brazil.
National Soybean Yields Deviates from Trend in the U.S. and Brazil
National soybean yield data from the National Agriculture Statistics Service (NASS) of the USDA and the Brazilian Institute of Geography and Statistics (IBGE) are used to assess yield variability — or yield risk — at the national levels. We first detrend each national yield series with a linear trend from 1974 to 2023 (see Figure 1). Deviations from the trend, or residuals, are then expressed as percentages of the trend yield, enabling standardized comparisons across regions with different yield levels. We then summarize yield variability using the standard deviation of these percentage deviations, providing a single metric that captures historical yield variability. This variability can be interpreted as production risk, reflecting the combined effects of weather and general growing conditions, farmers’ management decisions, and other factors that might influence yield outcomes. A higher standard deviation indicates greater yield variability and, thus, higher production risk.