Cell Wall-Based Machine Learning Models to Predict Plant Growth Using Onion Epidermis.

ABSTRACT: The plant cell wall (CW) is a physical barrier that plays a dual role in plant physiology, providing structural support for growth and development. Understanding the dynamics of CW growth is crucial for optimizing crop yields. In this study, we employed onion (Allium cepa L.) epidermis as a model system, leveraging its layered organization to investigate growth stages. Microscopic analysis revealed proportional variations in cell size in different epidermal layers, offering insights into growth dynamics and CW structural adaptations. Fourier transform infrared spectroscopy (FTIR) identified 11 distinct spectral intervals associated with CW components, highlighting structural modifications that influence wall elasticity and rigidity. Biochemical assays across developmental layers dem

SUBMITTER: Khoulali C 

PROVIDER: S-EPMC11989001 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature