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Authors
Young, James
Gu, Liping
Zhou, Ruanbao
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Funding
Funding for this research was provided by:
National Science Foundation (2416911)
South Dakota Agricultural Experiment Station-USDA Hatch project (SD00H833-25)
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Article History
Received: 25 June 2025
Accepted: 23 February 2026
First Online: 28 February 2026
Declarations
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: The authors declare no competing interests.
: During code refactoring we used generative AI to suggest code organization and modularization approaches for reproducibility, specifically Anthropic’s Opus 4.5 and OpenAI’s GPT-5.2 Pro. All AI-generated suggestions were manually reviewed, edited, and validated by the authors. No code was accepted verbatim without inspection, and the final analyses and conclusions remain entirely the responsibility of the authors.
