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May 8, 2026AgriEngineering0 citationsOpen Access

Spray Application Rates, Adjuvants, and Boron Behavior in Soybean: Insights from Physiological Responses and Remote Sensing in Cerrado

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FBFábio Henrique Rojo BaioCCCid Naudi Silva CamposLTLarissa Pereira Ribeiro Teodoro

Key Points

  • This research aims to evaluate how different spray application rates and adjuvant types affect boron deposition and soybean physiology.
  • Evaluated application rates of 40, 70, 100, and 130 L ha−1 of boron with various adjuvants.
  • Utilized physiological assessments and remote sensing techniques, including the NDRE index.
  • Conducted multivariate analysis to explore environmental impact on soybean yield.
  • Organosilicone surfactant enhanced deposition efficiency, allowing reduced application rates of 40 to 70 L ha−1 while maintaining stable foliar B status.
  • Methylated seed oil showed effectiveness dependent on physical deposition at intermediate rates.
  • NDRE index was more effective than NDVI for monitoring canopy delivery efficiency, avoiding signal saturation.

Abstract

The application of boron in soybeans in Oxisols of the Brazilian Cerrado is frequently integrated into complex tank fertilizer mixtures with multiple components via foliar application. This study investigated the interactive effects of varying spray application rates (40, 70, 100, and 130 L ha−1) and adjuvant types (organosilicone surfactant; methylated seed oil; and a water control) on boron deposition and the resulting physiological status. The organosilicone surfactant provided superior technical stability and deposition efficiency, allowing for a reduction in application rates to volumes between 40 and 70 L ha−1 maintaining a stable foliar B status across the evaluated range. In contrast, the performance of the methylated oil was strictly dependent on physical deposition, being effective only at intermediate rates, while the use of water alone represented a high risk of technical failure at reduced volumes. Furthermore, the NDRE index proved to be more responsive and robust than NDVI for monitoring delivery efficiency in high-density canopies, as it avoided signal saturation. Finally, Multivariate Analysis helped to observe that soybean yield in the Cerrado is primarily governed by the mitigation of water and thermal stress (TVDI), with optimized boron application acting as a key facilitator of reproductive success and yield stability under these environmental constraints.

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Cite This Study

Baio et al. (2026) studied this question.

synapsesocial.com/papers/69fd7fb8bfa21ec5bbf0843fhttps://doi.org/10.3390/agriengineering8050183
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