Review highlights how systems-level approaches enhance understanding of plant growth, regulation, and resilience.
Key Points
This review aims to synthesize advances in plant growth regulation using systems perspectives, focusing on multi-omics integration and network interactions.
Analyzed recent progress in high-throughput omics technologies including genomics and proteomics.
Examined the integration of biological networks and computational frameworks in plant growth research.
Discussed predictive modeling techniques that utilize multi-omics data and machine learning.
Demonstrated the importance of integrating various omics data for understanding plant growth dynamics.
Identified the role of phytohormonal interactions in generating diverse developmental outcomes.
Highlighted strategies for crop improvement using predictive models to forecast stress responses.