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ORIGINAL RESEARCH article

Front. Plant Sci.

Sec. Plant Physiology

Volume 16 - 2025 | doi: 10.3389/fpls.2025.1618027

The Influencing Pathway of Agrivoltaics on Soybean Protein Concentration

Provisionally accepted
  • 1Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing, Beijing, China
  • 2Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing, China

The final, formatted version of the article will be published soon.

Agrivoltaics has the potential to enable simultaneous energy and food production.However, its impact on crop quality and the underlying mechanisms remain insufficiently understood, which poses a significant challenge to the development of agrivoltaic systems. This study aims to investigate the process and pathways through which agrivoltaic systems influence soybean protein concentration by examining crop responses to three types of photovoltaic structures: traditional photovoltaic panels, checkerboard photovoltaic panels, and translucent photovoltaic panels. The results indicate that: 1) soybeans grown under translucent photovoltaic panels exhibited no significant decrease in nitrogen accumulation or crude protein concentration compared to the control group; 2) logistic model analysis revealed that translucent photovoltaic panels outperformed traditional panels in terms of maximum nitrogen accumulation potential and the timing of peak accumulation, highlighting their relative advantage in preserving soybean protein concentration; 3) the effect of agrivoltaics on grain protein concentration is multifaceted, primarily involving nitrogen accumulation in leaves prior to the grain-filling stage and nitrogen translocation during the grain-filling stage. These findings provide robust empirical evidence and a theoretical framework for understanding how photovoltaic systems affect soybean quality and for developing strategies to mitigate any decline in quality. This research contributes to the future promotion and adoption of agrivoltaic systems.

Keywords: Agrivoltaics, Soybean protein, Critical Pathways, Nitrogen, logistic model

Received: 25 Apr 2025; Accepted: 30 Jul 2025.

Copyright: © 2025 Hu, Ma and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Xueyan Zhang, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing, China

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