Source 1primary paper2025MED
Toolkit/genomic selection
genomic selection
Also known as: GS
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
This review summarizes current research on innovative molecular approaches, including... genomic selection (GS)... for soybean improvement.
Usefulness & Problems
No literature-backed usefulness or problem-fit explainer has been materialized for this record yet.
Published Workflows
Objective: Develop robust, climate-resilient vegetable cultivars capable of withstanding evolving whitefly threats.
Why it works: The abstract states that integrating classical genetics, modern biotechnology, multi-omics, and AI-driven decision frameworks can accelerate dissection and deployment of complex resistance traits, enabling faster development of robust cultivars.
antibiosisantixenosistolerancemetabolic defense traitsstructural defense traitsphenotypic selectionQTL mappingpangenomicsmulti-omics integrationgenomic selectionCRISPR-based modificationmachine-learning phenotype detectionhyperspectral stress diagnosticspredictive modelling of resistance lociAI-driven decision frameworks
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete method used to build, optimize, or evolve an engineered system.
Mechanisms
genome-wide marker-based predictionselection based on integrated genotypic and phenotypic dataTechniques
Selection / EnrichmentTarget processes
selectionValidation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
CRISPR/Cas9-mediated gene editing enables precise genetic modification in soybean and has produced improved oil composition, increased isoflavone content, and resistance to biotic stresses.
Marker-assisted selection using SSRs and SNPs facilitates efficient identification and incorporation of desired soybean traits including disease resistance, abiotic stress tolerance, and improved seed quality.
RNA interference modulates gene expression in soybean to optimize nutritional properties and stress responses.
These molecular breeding approaches overcome limitations of traditional methods by shortening the breeding cycle and allowing simultaneous improvement of multiple traits.
Genomic selection improves prediction accuracy for complex quantitative soybean traits such as yield by integrating genome-wide molecular markers with phenotypic data.
Approval Evidence
1 source2 linked approval claimsfirst-pass slug genomic-selection
This review summarizes current research on innovative molecular approaches, including... genomic selection (GS)... for soybean improvement.
Source:
comparative advantagesupports
These molecular breeding approaches overcome limitations of traditional methods by shortening the breeding cycle and allowing simultaneous improvement of multiple traits.
Source:
performancesupports
Genomic selection improves prediction accuracy for complex quantitative soybean traits such as yield by integrating genome-wide molecular markers with phenotypic data.
Source:
Comparisons
No literature-backed comparison notes have been materialized for this record yet.
Ranked Citations
- 1.