Productivity growth from genetic improvement: Evidence from <scp>Illinois</scp> soybean trial data

Abstract In 2023, the United States produced 28% of the world's soybeans, making understanding yield trends in the United States important for understanding global price trends. We estimate yield growth due to genetic change in soybeans using Illinois variety trial data with a modified approach. Specifically, our approach uses the yield from “check varieties” that are planted consistently from 1997 to 2020 as a control variable to identify the gain in yield across years using only yield variation within the plot and year. Ours are the first estimates of genetic gain in commercial soybean varieties after 2010 and we find that soybean yields increased between 25 and 26 kg/ha (0.37–0.38 bu/acre), or 0.7%, per year at a roughly linear rate in the past two decades. We find mixed evidence that the yield of genetically engineered soybeans grew faster than conventional varieties: In many years, conventional varieties did just as well as genetically engineered ones. We also find that adding the check variety's yield as a control variable significantly impacts how models in the literature estimate the average annual yield gain from genetics in these data. Our findings suggest that genetic change continued to be a consistent driver of yield change in soybeans over the past two decades.

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Publication Details

Journal
American Journal of Agricultural Economics
Published
2025-05-14
DOI
https://doi.org/10.1111/ajae.12555
Citations
1
Primary Topic
Agricultural Innovations and Practices
Type
article
Field-Weighted Citation Impact
4.83

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article

Productivity growth from genetic improvement: Evidence from Illinois soybean trial data

Jared Hutchins, Scott H. Irwin
1 citations
American Journal of Agricultural Economics
Agricultural Innovations and Practices
4.83
article

Productivity growth from genetic improvement: Evidence from Illinois soybean trial data

Jared Hutchins, Scott H. Irwin
article en
1 citations

Abstract

Abstract In 2023, the United States produced 28% of the world's soybeans, making understanding yield trends in the United States important for understanding global price trends. We estimate yield growth due to genetic change in soybeans using Illinois variety trial data with a modified approach. Specifically, our approach uses the yield from “check varieties” that are planted consistently from 1997 to 2020 as a control variable to identify the gain in yield across years using only yield variation within the plot and year. Ours are the first estimates of genetic gain in commercial soybean varieties after 2010 and we find that soybean yields increased between 25 and 26 kg/ha (0.37–0.38 bu/acre), or 0.7%, per year at a roughly linear rate in the past two decades. We find mixed evidence that the yield of genetically engineered soybeans grew faster than conventional varieties: In many years, conventional varieties did just as well as genetically engineered ones. We also find that adding the check variety's yield as a control variable significantly impacts how models in the literature estimate the average annual yield gain from genetics in these data. Our findings suggest that genetic change continued to be a consistent driver of yield change in soybeans over the past two decades.

American Journal of Agricultural EconomicsVol. 108(2)
University of Illinois Urbana-Champaign (US)
University of Illinois at Urbana-Champaign
Openalex Percentile: Top 7%
Agricultural Innovations and Practices
4.83
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Productivity growth from genetic improvement: Evidence from <scp>Illinois</scp> soybean trial data — Jared Hutchins, Scott H. Irwin · American Journal of Agricultural Economics (2025) | TGRS Research Map | TGRS