Intercropping Forage Mulberry Benefits Nodulation and Growth of Soybeans

In northern China, intercropping soybeans with forage mulberry (Morus alba L.) enhances soybean yields through the optimization of natural resource use. However, the mechanisms underlying these improvements remain largely unknown. The aim was to explore the effects of this intercropping on soybean growth and yield. We used transcriptomics, redundancy analysis, and structural equation modeling to evaluate soybean growth, yield, and nodulation; results showed that intercropping did not adversely affect plant height or stem diameter but increased chlorophyll content, photosynthetic rate, leaf area, and yield of soybean. It also increased soil available phosphorus, soil available potassium and soil water content, while reducing soil available nitrogen and the pH value. It promoted P and organic acid metabolism, transporter activity, and key-gene expression. Redundancy analysis strikingly reveals that intercropping is positively correlated with yield, gene expression and soil properties. Meanwhile, structural equation modeling analysis demonstrates that the content of available phosphorus, available potassium, and water in rhizosphere soil are positively correlated with soybean nodulation. Additionally, nodulation traits can directly enhance nitrogen metabolism, which subsequently boosts photosynthesis and ultimately exerts an indirect positive influence on soybean yield. Furthermore, intercropping soybeans with forage mulberry did not induce shade stress on the above-ground portion of soybeans but promoted its growth and nodulation.

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Publication Details

Journal
Agriculture
Published
2025-04-21
DOI
https://doi.org/10.3390/agriculture15080902
Primary Topic
Agronomic Practices and Intercropping Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Intercropping Forage Mulberry Benefits Nodulation and Growth of Soybeans

Xinhua Zhao, Yanbo Hu, Xinjie Feng, Xiuli Zhang et al.
Agriculture
Agronomic Practices and Intercropping Systems
article

Intercropping Forage Mulberry Benefits Nodulation and Growth of Soybeans

Xinhua Zhao, Yanbo Hu, Xinjie Feng, Xiuli Zhang, Huihui Zhang, Minghui Zhong
article en

Abstract

In northern China, intercropping soybeans with forage mulberry (Morus alba L.) enhances soybean yields through the optimization of natural resource use. However, the mechanisms underlying these improvements remain largely unknown. The aim was to explore the effects of this intercropping on soybean growth and yield. We used transcriptomics, redundancy analysis, and structural equation modeling to evaluate soybean growth, yield, and nodulation; results showed that intercropping did not adversely affect plant height or stem diameter but increased chlorophyll content, photosynthetic rate, leaf area, and yield of soybean. It also increased soil available phosphorus, soil available potassium and soil water content, while reducing soil available nitrogen and the pH value. It promoted P and organic acid metabolism, transporter activity, and key-gene expression. Redundancy analysis strikingly reveals that intercropping is positively correlated with yield, gene expression and soil properties. Meanwhile, structural equation modeling analysis demonstrates that the content of available phosphorus, available potassium, and water in rhizosphere soil are positively correlated with soybean nodulation. Additionally, nodulation traits can directly enhance nitrogen metabolism, which subsequently boosts photosynthesis and ultimately exerts an indirect positive influence on soybean yield. Furthermore, intercropping soybeans with forage mulberry did not induce shade stress on the above-ground portion of soybeans but promoted its growth and nodulation.

AgricultureVol. 15(8)
Northeast Forestry University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province
Openalex Percentile: Top 90%
Agronomic Practices and Intercropping Systems
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Intercropping Forage Mulberry Benefits Nodulation and Growth of Soybeans — Xinhua Zhao, Yanbo Hu, et al. · Agriculture (2025) | TGRS Research Map | TGRS