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Functional Plant Biology Functional Plant Biology Society
Plant function and evolutionary biology
RESEARCH ARTICLE

Accelerating soybean (Glycine max) leaf growth and stem strength by using natural daylight parameter characteristics

Wei He https://orcid.org/0000-0002-0226-8663 A *
+ Author Affiliations
- Author Affiliations

A State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou 730070, People’s Republic of China.

* Correspondence to: hew@gsau.edu.cn

Handling Editor: Suleyman Allakhverdiev

Functional Plant Biology 52, FP25111 https://doi.org/10.1071/FP25111
Submitted: 1 April 2025  Accepted: 19 June 2025  Published: 3 July 2025

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

The ratios of red light (R)/blue light (B) and R/far-red light (Fr) stay relatively constant, which is the unique properties of sunlight. It may be a new way to optimise plant development in artificial lighting conditions. We assayed the potential effects of white light (W), 50% R 50% B (RB), and the unique properties of sunlight (N, R/Fr = 1.4, R/Fr = 1.1) under 500 μmol m−2 s−1 on soybean (Glycine max) plant growth. Our results showed that total leaf dry weight under N rapidly increased compared with the W and RB treatments from 30 days to 60 days. Soybean plants under N treatment had higher Rubisco activity and chlorophyll content than the W treatment at 50 days. Stem and petiole dry weight under N treatment grew by 454.3% from 30 days to 60 days. Compared with W and RB treatments, lignin content in the stems was also 26.9% and 34.5% higher at 50 days under N treatment, respectively. N treatment caused 22.9% and 26.2% higher cellulose content than the W and RB treatments at 50 days, respectively. N treatment led to 10.5% higher 13C assimilation than the RB treatment in stems. The spectral combination of sunlight enhanced soybean plant growth and stem strength in artificial light environment.

Keywords: 13C-assimilation distribution, Calvin cycle enzyme activity, carbohydrate distribution, leaf growth, light wavelength, natural light characteristics, soybean, stem strength.

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