Identifying phenological phases in strawberry using multiple change-point models.

ABSTRACT: Plant development studies often generate data in the form of multivariate time series, each variable corresponding to a count of newly emerged organs for a given development process. These phenological data often exhibit highly structured patterns, and the aim of this study was to identify such patterns in cultivated strawberry. Six strawberry genotypes were observed weekly for their course of emergence of flowers, leaves, and stolons during 7 months. We assumed that these phenological series take the form of successive phases, synchronous between individuals. We applied univariate multiple change-point models for the identification of flowering, vegetative development, and runnering phases, and multivariate multiple change-point models for the identification of consensus phases for these

SUBMITTER: Labadie M 

PROVIDER: S-EPMC6812722 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature