Mixed Models as a Tool for Comparing Groups of Time Series in Plant Sciences.

ABSTRACT: Plants adapt to continual changes in environmental conditions throughout their life spans. High-throughput phenotyping methods have been developed to noninvasively monitor the physiological responses to abiotic/biotic stresses on a scale spanning a long time, covering most of the vegetative and reproductive stages. However, some of the physiological events comprise almost immediate and very fast responses towards the changing environment which might be overlooked in long-term observations. Additionally, there are certain technical difficulties and restrictions in analyzing phenotyping data, especially when dealing with repeated measurements. In this study, a method for comparing means at different time points using generalized linear mixed models combined with classical time series models

SUBMITTER: Spyroglou I 

PROVIDER: S-EPMC7918370 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature