Dataset for Phyllochron Analysis and Multivariate Characterization (PCA) in Festuca pallescens
Abstract
This dataset contains raw phenological and morphological data collected for the doctoral thesis titled "... ". The data is structured into two main components: Phyllochron Data: Time-series observations of leaf emergence used to calculate the thermal time required for successive leaf appearance. (PhyllochronRawdata) Multivariate Parameters: A comprehensive matrix of physiological and structural variables intended for Principal Component Analysis (PCA) to identify patterns of variance and correlations between traits. (F.pallescens_LeafLenght_Phyllochron) The data was gathered under controlled conditions under greenhouse ´s conditions.
Fields of Study & Subjects
Leaf Properties and Growth Measurement
Agricultural Productivity and Crop Improvement
Genetics and Plant Breeding
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 February 2026
- Language
- EN
- Document type
- Dataset