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
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)
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.
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