Reyes Francesco, Pitchers Benjamin, Pradal Christophe, Lauri Pierre-Éric
DSV, University of Studies of Modena and Reggio Emilia, Reggio Emilia, Italy.
ABSys, University of Montpellier, CIHEAM-IAMM, CIRAD, INRAE, Institut Agro, Montpellier, France.
AoB Plants. 2025 Jun 12;17(4):plaf029. doi: 10.1093/aobpla/plaf029. eCollection 2025 Aug.
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, (ii) between, and (iii) along rows of dominant walnut trees. The data are stored as standard multi-scale tree graphs 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 10, 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 allow 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.
农林业是应对气候变暖的一项主要适应和缓解策略,但其农艺可行性取决于植物对遮荫条件的实际反应。在优势树下种植果树可能会降低与极端气候事件(如霜冻或热浪)相关的风险。尽管如此,除了一些喜阴植物,如咖啡或可可,它们对农林业条件的生理和结构反应鲜为人知,尤其是在温带气候下。我们展示了一个数据集,该数据集描述了45棵幼龄苹果树的结构和形态,这些数据是在连续两年中沿着辐射梯度获取的,如同在一个农林业地块的三种生长条件下:(i)开阔地,(ii)核桃树行之间,以及(iii)沿着优势核桃树行。数据以标准的多尺度树状图形式存储,这些图允许在不同尺度上存储植物的拓扑结构、几何形状和属性。它包括三个拓扑尺度的植物特征:整棵树、生长单元和节间。这些特征包括器官命运(潜伏、营养、花芽和芽灭绝部位);生长单元的长度和叶面积估计;二级分支的直径、天顶角和方位角。每棵树还在10个可能是顶端的花芽样本上统计叶子、花朵、果实和落果的数量。该数据集包括对采样新梢的辅助测量,用于推导新梢长度和叶面积之间的异速生长关系;以及对营养生长季节到达每棵苹果树的辐射的估计。数字化树木的多尺度描述和不同的光照生长条件使得能够研究在树木早期发育阶段,从节间到整棵树,与遮荫相关的农林业环境和苹果树形态及结构可塑性之间的关系。