Research Insight

Effects of Different Sowing Densities on Soybean Yield and Quality  

Dandan Huang
Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
Legume Genomics and Genetics, 2025, Vol. 16, No. 6   doi: 10.5376/lgg.2025.16.0028
Received: 30 Sep., 2025    Accepted: 15 Nov., 2025    Published: 24 Nov., 2025
© 2025 BioPublisher Publishing Platform
This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Huang D.D., 2025, Analysis on the application of intercropping in the efficient land utilization of leguminous crops, Legume Genomics and Genetics, 16(6): 279-287 (doi: 10.5376/lgg.2025.16.0028)

Abstract

Soybean (Glycine max) is a vital global crop valued for its protein and oil content, making the optimization of agronomic practices such as sowing density essential for improving both yield and quality. This study synthesized the current research results on the physiological, environmental and genotypic effects of different sowing densities on soybean growth and development, and explored how plant competition for resources, canopy structure and root development interact with sowing density to affect yield and seed quality traits such as protein and oil content, uniformity and vitality; further explored how environmental factors such as soil fertility, climate change and management practices regulate density response, and the differences in genotype adaptability to high-density and low-density planting. The case study in China provides localized insights for the practical application of optimizing sowing density, while future development directions emphasize the application of precision agriculture and remote sensing technology integration in density management. This study underscores the need for site- and variety-specific sowing strategies to enhance sustainable soybean production and guide future agronomic innovations.

Keywords
Soybean yield; Sowing density; Seed quality; Plant physiology; Precision agriculture
[Full-Text PDF] [Full-Flipping PDF] [Full-Text HTML]
Legume Genomics and Genetics
• Volume 16
View Options
. PDF(688KB)
. FPDF(win)
. FPDF(mac)
. HTML
. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. Dandan Huang
Related articles
. Soybean yield
. Sowing density
. Seed quality
. Plant physiology
. Precision agriculture
Tools
. Email to a friend
. Post a comment