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.本研究专门探究了有机改良剂对可可四种伴生树种幼年期形态生理参数的影响。本次研究涉及的树种包括加蓬艾文廷木（Irvingia gabonensis，Kplé）、可拉藤（Garcinia kola，Petit Cola）、泰格姆榄（Tieghemella heckelii，Makoré）以及曼氏琼楠（Beilschmiedia mannii，Bitéi）。实验共设置四种处理方式：T0为老可可种植园0~10 cm表层土壤；T1为三分之二T0土壤与三分之一稻壳生物炭的混合基质；T2为施加0.5 kg堆肥化家禽粪便的T0土壤；T3为T1与T2的组合。本数据集详细记录了各树种在不同处理下的树木生长、叶片生理及生物量积累情况。通过追踪上述变量，本数据集可深化学界对不同环境与实验因素如何影响树木健康、生长及资源分配的认知。该数据集对于推动树木生理学研究进展、优化可持续树木管理实践具有重要价值。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，此类标识符可将观测结果与施加给对应树木的特定条件或处理因素绑定，便于评估各处理对树木生长与健康的影响。数据集包含所研究树种的学名与通用俗名，例如加蓬艾文廷木（Irvingia gabonensis，Kplé）、可拉藤（Garcinia kola，Petit Cola）、泰格姆榄（Tieghemella heckelii，Makoré）以及曼氏琼楠（Beilschmiedia mannii，Bitéi），这有助于开展跨物种生理特性分析。针对每株受试树木，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；同时记录了总叶片数，可为叶片产出与植株健康状况提供分析依据。此外还追踪了幼叶与老叶的特定测量指标，便于观察叶片生长动态及随时间的变化规律。生理数据方面，研究人员于三个时间节点（2020年12月18日、2021年2月11日及2021年3月14日）采集了叶绿素含量等指标，可为树木光合能力与叶片健康状况提供关键信息。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策略及整体发育情况。本数据集覆盖了2020年12月的树木评估至2021年5、6月生物量测量的多个月份，可支持研究人员追踪树木随时间的发育进程，从而评估不同实验处理与环境条件下生长指标的变化规律。