Pulse Brain · Growing Health Evidence Index
Tier 4 — Narrative / commentaryPeer-reviewed

Integrative Approaches to Soybean Resilience, Productivity, and Utility: A Review of Genomics, Computational Modeling, and Economic Viability.

Gai Y, Liu S, Zhang Z, Wei J, Wang H, Liu L, Bai Q, Qin Q, Zhao C, Zhang S, Xiang N, Zhang X.

Plants (Basel) · 2025

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Summary

This 2025 review in Plants (Basel) synthesises current knowledge across soybean genomics, computational modelling approaches, and the economic dimensions of soybean improvement. It likely integrates findings on abiotic and biotic stress resilience with emerging tools such as genome-wide association studies, machine learning, and systems biology to assess pathways toward more productive and sustainable soybean cultivation. The paper appears to offer a cross-disciplinary perspective intended to inform both breeding programmes and agronomic decision-making.

UK applicability

Soybean is not a major UK crop due to climatic constraints, though interest in domestically grown protein crops is growing within UK agricultural policy. The genomic and modelling frameworks reviewed may have indirect applicability to UK legume breeding programmes and to assessing import supply chain resilience.

Key measures

Genomic markers and trait loci; yield performance indicators; stress tolerance metrics; economic viability assessments of breeding and production strategies

Outcomes reported

The review examines advances in soybean genomics, stress resilience mechanisms, and computational or breeding approaches to improving yield and utility, likely assessing economic viability of integrative improvement strategies across production systems.

Theme
Farming systems, soils & land use
Subject
Crop genetics & breeding
Study type
Narrative Review
Study design
Narrative review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Arable oilseeds/legumes
DOI
10.3390/plants14050671
Catalogue ID
NRmo3f02hq-0dk

Topic tags

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