Spatio-temporal analysis of strawberry architecture: insights into the control of branching and inflorescence complexity

Labadie Marc, Guy Karine, Demené Marie-Noëlle, Caraglio Yves, Heidsieck Gaëtan, Gaston Amelia, Rothan Christophe, Guédon Yann, Pradal Christophe, Denoyes Béatrice. 2023. Spatio-temporal analysis of strawberry architecture: insights into the control of branching and inflorescence complexity. Journal of Experimental Botany, 74 (12) : 3595-3612.

Url - jeu de données - Entrepôt autre : https://doi.org/10.57745/XJY5RO/PMDNB5 / Url - autres données associées : https://github.com/openalea/strawberry/tree/master/share/data

Résumé : Plant architecture plays a major role in flowering and therefore in crop yield. Attempts to visualize and analyse strawberry plant architecture have been few to date. Here, we developed open-source software combining two- and three-dimensional representations of plant development over time along with statistical methods to explore the variability in spatio-temporal development of plant architecture in cultivated strawberry. We applied this software to six seasonal strawberry varieties whose plants were exhaustively described monthly at the node scale. Results showed that the architectural pattern of the strawberry plant is characterized by a decrease of the module complexity between the zeroth-order module (primary crown) and higher-order modules (lateral branch crowns and extension crowns). Furthermore, for each variety, we could identify traits with a central role in determining yield, such as date of appearance and number of branches. By modeling the spatial organization of axillary meristem fate on the zeroth-order module using a hidden hybrid Markov/semi-Markov mathematical model, we further identified three zones with different probabilities of production of branch crowns, dormant buds, or stolons. This open-source software will be of value to the scientific community and breeders in studying the influence of environmental and genetic cues on strawberry architecture and yield.

Mots-clés Agrovoc : modèle mathématique, Fragaria, génotype, rendement des cultures, caractère agronomique, floraison, Fragaria ananassa, ramification, port de la plante, amélioration des plantes, méthode statistique, variété, anatomie végétale

Mots-clés géographiques Agrovoc : France

Mots-clés libres : OpenAlea, MaCS4Plant, Fragaria × ananassa, MTG, Plant architecture, Hidden Markov Models

Classification Agris : F50 - Anatomie et morphologie des plantes
U10 - Informatique, mathématiques et statistiques

Champ stratégique Cirad : CTS 2 (2019-) - Transitions agroécologiques

Agences de financement européennes : European Commission

Agences de financement hors UE : Conseil Régional Aquitaine, EIT Climate-KIC

Programme de financement européen : H2020

Projets sur financement : (EU) Improving the stability of high-quality traits of berry in different environments and cultivation systems for the benefit of European farmers and consumers, (FRA) AgirClim, (EU) Friendly Fruit

Auteurs et affiliations

• Labadie Marc, CIRAD-BIOS-UMR AGAP (FRA)
• Guy Karine, Invenio (FRA)
• Demené Marie-Noëlle, Invenio (FRA)
• Caraglio Yves, CIRAD-BIOS-UMR AMAP (FRA)
• Heidsieck Gaëtan, INRIA (FRA)
• Gaston Amelia, INRAE (FRA)
• Rothan Christophe, INRAE (FRA)
• Guédon Yann
• Pradal Christophe, CIRAD-BIOS-UMR AGAP (FRA) ORCID: 0000-0002-2555-761X - auteur correspondant
• Denoyes Béatrice, INRAE (FRA) - auteur correspondant

Source : Cirad-Agritrop (https://agritrop.cirad.fr/604571/)

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