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<p>Closing the yield gap is important to meet the demands of a growing population. Soybean, a key crop in this effort, plays a prominent role. Despite that, to our knowledge, there is no published study that describe the adopted crop management practices and their influence on the soybean yield gap (Yg) in the state of Mato Grosso, Brazil’s largest soybean-producing region, where Yg can reach up to 50%. This study surveyed 108 soybean fields across two crop seasons (2020/2021 and 2021/2022), collecting self-reported data on field traits, crop management practices, applied inputs, and the incidence of yield-reducing factors. Our objectives were to (a) estimate current attainable yield (Yw) and Yg through the Comparative Performance Analysis (CPA) and by using a process-based model and (b) identify critical crop management factors contributing to the yield gap. Both methods estimated soybean yield gaps ranging from 30 to 40%, indicating the potential to boost the regional productivity. Optimizing sowing dates according to the maturity group selection offered a potential yield gain of approximately 35&#xa0;kg ha<sup>− 1</sup> day<sup>− 1</sup>. Furthermore, crop seasons with high rainfall and temperatures offer high yield potential but require careful fungi disease management. Other key contributors to Yg included cycle duration, soil nutrient levels, herbicide and insecticide application, and waterlogging.</p>

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Key Factors for Closing the Soybean Yield Gap in Brazil’s Leading Producing Region

  • 期刊论文

  • 发表日期：

    2025年3月3日

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  • Lucas Wadt,
  • Henrique Bauab Brunetti,
  • Evandro H. F. Moura da Silva,
  • Marina L. A. de Melo,
  • Fábio R. Marin

摘要

Closing the yield gap is important to meet the demands of a growing population. Soybean, a key crop in this effort, plays a prominent role. Despite that, to our knowledge, there is no published study that describe the adopted crop management practices and their influence on the soybean yield gap (Yg) in the state of Mato Grosso, Brazil’s largest soybean-producing region, where Yg can reach up to 50%. This study surveyed 108 soybean fields across two crop seasons (2020/2021 and 2021/2022), collecting self-reported data on field traits, crop management practices, applied inputs, and the incidence of yield-reducing factors. Our objectives were to (a) estimate current attainable yield (Yw) and Yg through the Comparative Performance Analysis (CPA) and by using a process-based model and (b) identify critical crop management factors contributing to the yield gap. Both methods estimated soybean yield gaps ranging from 30 to 40%, indicating the potential to boost the regional productivity. Optimizing sowing dates according to the maturity group selection offered a potential yield gain of approximately 35 kg ha− 1 day− 1. Furthermore, crop seasons with high rainfall and temperatures offer high yield potential but require careful fungi disease management. Other key contributors to Yg included cycle duration, soil nutrient levels, herbicide and insecticide application, and waterlogging.