Data Sheet 1_Geographical variability in morphology and nutritional composition of Moringa oleifera seeds: a meta-analysis.csv

The miracle tree, M. oleifera, is valued for its nutritional composition, climate adaptability, industrial and environmental usefulness. Despite well-known benefits, nutritional composition varies with the geographical location. The seeds of Moringa are rich in high-quality oil and protein and are also a source of carbohydrates, but their relative quantities vary among geographical locations. A meta-regression analysis was carried out using PRISMA guidelines, to explore the variability, and deciding factors in Moringa seeds. A systematic search of Scopus and google Scholar identified reports that mentioned morphological or nutritional or both traits was carried out. After removing duplicates and reviews, total 31 original research articles were included in the study. Two independent datasets, morphological and nutritional, were prepared by extracting numerical data of mature seeds. Statistical framework included Pearson’s correlation to quantify trait relationship and ANCOVA to assess covariate effects on nutritional components. Datasets were analyzed using R software. Random effect meta regression model was employed to assess the heterogeneity in nutrient composition across climatic zones. The crude fat, total carbohydrates and crude protein were highly variable (σ = 14.56, 14.54 and 12.08 respectively). The variabilities in ash and moisture were low (σ =1.41 and 2.48 respectively) while crude fiber showed intermediate variability (σ = 2.87). Although, there was a trend in nutritional composition of M. oleifera seeds along the latitude and climatic zones, statistical model fitting was non-significant for these variables. Pearson’s correlation among nutritional components was pronounced and significant, supported by carbon-nitrogen metabolism. This study did not find any trend in the highly variable morphological components (CV 38.52% and 43.12% for length and width respectively) of Moringa seeds with geographical location.

被誉为“奇迹树种”的辣木（M. oleifera），因其营养组成、气候适应性、工业与环境应用价值而广受重视。尽管其诸多益处已广为人知，但辣木的营养组成会随地理位置发生变化。辣木种子富含优质油脂与蛋白质，同时也是碳水化合物的来源，但其相对含量会因地理位置不同而存在差异。本研究遵循《系统评价与荟萃分析优先报告条目》（PRISMA）指南开展元回归分析，以探究辣木种子相关性状的变异情况及其决定因素。研究通过对斯高帕斯数据库（Scopus）与谷歌学术（Google Scholar）开展系统检索，筛选出涉及形态性状、营养性状或二者兼具的相关报道；在剔除重复文献与综述类文献后，最终纳入31篇原创研究论文。研究通过提取成熟辣木种子的数值数据，构建了形态性状与营养性状两个独立数据集。本研究采用的统计框架包括：用皮尔逊相关系数（Pearson’s correlation）量化性状间的关联关系，用协方差分析（ANCOVA）评估协变量对营养组分的影响效应。所有数据集均通过R软件完成分析。研究采用随机效应元回归模型，以评估不同气候带间营养组分的异质性。结果显示，粗脂肪、总碳水化合物与粗蛋白质的变异程度极高（标准差σ分别为14.56、14.54和12.08）；灰分与水分的变异程度较低（σ分别为1.41和2.48），而粗纤维则呈现中等程度的变异（σ=2.87）。尽管辣木种子的营养组成随纬度与气候带呈现出一定的变化趋势，但针对这些变量的统计模型拟合结果并不显著。营养组分间的皮尔逊相关系数显著且关联紧密，这一结果得到了碳氮代谢机制的佐证。本研究未发现辣木种子高度变异的形态性状（长度与宽度的变异系数（CV）分别为38.52%和43.12%）随地理位置存在变化趋势。