Young apple tree development under agroforestry radiative conditions: a multi-scale morphological and architectural dataset
2025
Reyes, Francesco | Pitchers, Benjamin | Pradal, Christophe | Lauri, Pierre-Éric | Università degli Studi di Modena e Reggio Emilia = University of Modena and Reggio Emilia (UNIMORE) | Agrosystèmes Biodiversifiés (UMR ABSys) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM) ; Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro) | Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Département Systèmes Biologiques (Cirad-BIOS) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad) | Sciences environnementales guidées par les données (IROKO) ; Centre Inria d'Université Côte d'Azur ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) ; Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Institut Montpelliérain Alexander Grothendieck (IMAG) ; Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) | This work was supported by Fondation de France for a Ph.D. student grant and partly funded by the French DEPHY-EXPE program ALTO (Systèmes en ArboricuLture et Transition agrOécologique) and the Hérault department program PIRAT (Programme Interdisciplinaire de Recherche développement en AgroforesTerie).
Data Availability: The multi-scale tree graphs are permanently available on a https://github.com/openalea/GAFAM21 repository and are assigned a permanent doi: 10.5281/zenodo.14253433. The spreadsheet tables of variables extracted from MTGs are provided as Supporting Information of this article.
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Mostrar más [+] Menos [-]Inglés. Agroforestry is a major adaptation and mitigation strategy facing climate warming, but its agronomic viability depends on actual plant responses to shade conditions. Growing fruit trees under dominant trees may reduce the risks related to extreme climatic events, such as frost or heat waves. Nonetheless, except for some sciaphilous plants such as coffee or cacao, their physiological and architectural responses to agroforestry conditions are little known, especially in temperate climate. We present a dataset describing the architecture and morphology of 45 young apple trees, acquired in two consecutive years, along a radiative gradient, as in three growing conditions of an agroforestry plot: i) the open field, and ii) between and iii) along rows of dominant walnut trees. The data is stored as standard multi-scale tree graphs (MTG) that allow to store the topology, geometry and attributes of the plant at different scales. It includes plant traits at three topological scales: whole tree, growth unit and the internode. The traits include organ fate (latent, vegetative, floral bud and bud extinction sites); length and an estimate of the leaf area of growth units; diameter, zenith and azimuth angles of second order branches. The number of leaves, flowers, fruits and fruit drops is also counted on a sample of ten, possibly apical, flower buds per tree. The dataset includes ancillary measurements on sampled shoots, used to derive allometric relationships between shoot length and leaf area; and an estimate of the radiation reaching each apple tree during the vegetative season. The multi-scale description and the different light growing conditions characterizing the digitized trees allows to investigate relationships between the shade-related agroforestry environment and the apple tree morphological and architectural plasticity, during the early tree development, from the internode to the whole tree.
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