Effect of Biological Amendment on the Agro-Morphology of Cocoa Companion Species (Irvingia gabonensis, Garcinia kola, Tieghemella heckelii, and Beilschmiedia mannii) at the Nursery Stage

The study specifically focused on the effect of organic amendments on the morphophysiological parameters of four companion tree species of cocoa during their juvenile stage. The species involved were Irvingia gabonensis (Kplé), Garcinia kola (Petit Cola), Tieghemella heckelii (Makoré), and Beilschmiedia mannii (Bitéi). Four different treatments were applied: T0, which consisted of soil from the top 10 cm of an old cocoa plantation; T1, a mixture of two-thirds T0 soil and one-third rice husk biochar; T2, T0 soil enriched with 0.5 kg of composted poultry manure; and T3, a combination of T1 and T2. This dataset provides a detailed overview of tree growth, leaf physiology, and biomass accumulation for these species across various treatments. By tracking these variables, the dataset enhances our understanding of how different environmental and experimental factors influence tree health, growth, and resource allocation. This data is crucial for advancing tree physiology knowledge and improving sustainable tree management practices. Each record in the dataset is linked to a specific experimental setup via a block identifier and treatment number. These identifiers connect observations to particular conditions or factors applied to the trees, helping assess how each treatment affects tree growth and health. The dataset includes both the scientific and common names of the species studied, such as Irvingia gabonensis (Kplé), Garcinia kola (Petit Cola), Tieghemella heckelii (Makoré), and Beilschmiedia mannii (Bitéi), which aids in the analysis of physiological characteristics across the species. For each tree, the dataset records various growth parameters, including height and diameter, which provide an indication of the trees' overall growth and size under different conditions. The total number of leaves is also recorded, offering insights into leaf production and plant health. Specific measurements of both young and old leaves are also tracked, allowing for the observation of leaf growth dynamics and changes over time. Physiological data, such as chlorophyll content, is collected at three time points (18/12/2020, 11/02/2021, and 14/03/2021), offering important information about the trees' photosynthetic abilities and leaf health. Biomass measurements, recorded on 27/05/2021 and 31/05/2021, provide data on root and aboveground biomass, helping to understand how trees allocate resources between root and shoot growth and overall development. Spanning several months from tree assessments in December 2020 to biomass measurements in May and June 2021, the dataset enables researchers to track tree development over time. This allows for the assessment of how growth metrics evolve in response to different experimental treatments and environmental conditions.

本研究专门聚焦有机改良剂对可可4种伴生乔木幼树期形态生理参数的影响。涉及的树种为加蓬榄(Irvingia gabonensis，当地俗称Kplé)、可乐果(Garcinia kola，当地俗称Petit Cola)、赫克尔管花木(Tieghemella heckelii，当地俗称Makoré)以及曼氏琼楠(Beilschmiedia mannii，当地俗称Bitéi)。本研究设置4种不同处理：T0为老可可种植园0~10 cm的表层土壤；T1为2/3份T0土壤与1/3份稻壳生物炭的混合物；T2为添加0.5 kg腐熟家禽粪便的T0土壤；T3为T1与T2的组合。本数据集详细记录了上述4个树种在不同处理下的树木生长、叶片生理特性及生物量积累情况。通过追踪上述变量，本数据集可深化我们对不同环境与实验因子如何影响树木健康、生长及资源分配的认知，对于推动树木生理学研究发展、优化可持续林木管理实践具有重要意义。数据集中的每条记录均通过区组标识符与处理编号关联至特定实验设置，这些标识符可将观测结果与施加给受试树木的特定条件或处理因素相匹配，便于评估各处理对树木生长与健康的影响。数据集包含研究树种的学名与通用名，可辅助开展跨物种生理特性分析。针对每棵受试树木，数据集记录了多项生长参数，包括树高与胸径，可反映不同条件下树木的整体生长态势与体量；同时记录总叶片数，以反映叶片产出与植株健康状况。此外还追踪了幼叶与老叶的专项测量数据，可用于观察叶片生长动态及随时间的变化情况。叶绿素含量等生理指标分别于2020年12月18日、2021年2月11日及2021年3月14日三个时间点采集，可为树木光合能力与叶片健康状况提供关键参考信息。生物量测量分别于2021年5月27日与2021年5月31日开展，记录了根系与地上部分生物量数据，有助于理解树木在根系与地上部分生长间的资源分配模式及整体发育进程。本数据集涵盖了从2020年12月的树木评估至2021年5、6月生物量测量的数月时长，可支持研究人员追踪树木随时间的发育过程，从而评估生长指标如何响应不同实验处理与环境条件的变化。