Identifying phenological phases in strawberry using multiple change-point models

Labadie Marc, Denoyes Béatrice, Guédon Yann. 2019. Identifying phenological phases in strawberry using multiple change-point models. Journal of Experimental Botany, 70 (20) : pp. 5687-5701.

Journal article ; Article de recherche ; Article de revue à facteur d'impact
Published version - Anglais
License Licence Creative Commons.

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Quartile : Outlier, Sujet : PLANT SCIENCES

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 three development processes. We showed that the flowering and the runnering processes are the main determinants of the phenological pattern. On this basis, we propose a typology of the six genotypes in the form of a hierarchical classification. This study introduces a new longitudinal data modeling approach for the identification of phenological phases in plant development. The focus was on development variables but the approach can be directly extended to growth variables and to multivariate series combining growth and development variables.

Mots-clés Agrovoc : Fragaria, Phénologie, Stade de développement végétal, Génotype, Modèle végétal

Mots-clés géographiques Agrovoc : France

Mots-clés complémentaires : Architecture végétale

Mots-clés libres : Developmental pattern, Development processes, Fragaria × ananassa, Longitudinal data analysis, Multiple change-point model, Phenological phase

Classification Agris : F62 - Plant physiology - Growth and development

Champ stratégique Cirad : CTS 7 (2019-) - Hors champs stratégiques

Agence(s) de financement européenne(s) : European Commission

Programme de financement européen : H2020

Projet(s) de financement européen(s) : Improving the stability of high-quality traits of berry in different environments and cultivation systems for the benefit of European farmers and consumers

Auteurs et affiliations

  • Labadie Marc, INRA (FRA)
  • Denoyes Béatrice, INRA (FRA) - auteur correspondant
  • Guédon Yann, CIRAD-BIOS-UMR AGAP (FRA)

Source : Cirad-Agritrop (

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