Dataset for Phyllochron Analysis and Multivariate Characterization (PCA) in Festuca pallescens

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Authors: Aldana López, Juan Pablo Angeli
Cited by: 0

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