Feature Review

Optimizing Soybean Yield Through Integrated Agronomic Management  

Zhiqing Chen
Jinhua Jiugui Ecological Agriculture Co., Ltd., Lanxi, 321100, Zhejiang, China
Author    Correspondence author
Legume Genomics and Genetics, 2024, Vol. 15, No. 6   doi: 10.5376/lgg.2024.15.0029
Received: 09 Nov., 2024    Accepted: 10 Nov., 2024    Published: 22 Dec., 2024
© 2024 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:

Chen Z.Q., 2024, Optimizing soybean yield through integrated agronomic management, Legume Genomics and Genetics, 15(6): 303-314 (doi: 10.5376/lgg.2024.15.0029)

Abstract

This study examines the role of Integrated Agronomic Management (IAM) in optimizing soybean (Glycine max L.) yield and sustainability through a combination of strategic agricultural practices. Recognizing the dual importance of soybean as a major protein and oil source and as a soil-enhancing crop, IAM integrates chemical fertilizers, organic manures, microbial inoculants, efficient irrigation, and advanced planting techniques. Findings from multiple studies reveal that IAM approaches improve nutrient management, water-use efficiency, weed and pest control, and climate resilience in soybean cultivation. Key practices, such as combining organic amendments with inorganic fertilizers, adopting optimal row spacing and seeding rates, and utilizing targeted irrigation techniques, are shown to enhance soybean productivity while minimizing environmental impacts. Through case studies, this research highlights the economic and ecological benefits of IAM, including yield increases, improved soil health, and reduced greenhouse gas emissions, underscoring the potential of IAM to address global food security challenges sustainably. Future research should continue exploring IAM strategies that adapt to climate variability and optimize genetic selection for yield improvements in diverse ecological contexts.

Keywords
Integrated agronomic management; Soybean yield; Nutrient management; Water-use efficiency; Sustainable agriculture
[Full-Text PDF] [Full-Flipping PDF] [Full-Text HTML]
Legume Genomics and Genetics
• Volume 15
View Options
. PDF(949KB)
. FPDF(win)
. FPDF(mac)
. HTML
. Online fPDF
Associated material
. Readers' comments
Other articles by authors
. Zhiqing Chen
Related articles
. Integrated agronomic management
. Soybean yield
. Nutrient management
. Water-use efficiency
. Sustainable agriculture
Tools
. Email to a friend
. Post a comment