In this study, the corresponding correlations, interdependencies, and relationships of nine traits of pistachio (Pistacia vera L.) kernels were established. Here, the percentage of dehiscent shells, shell homogeneity, shell apex, position of suture opening, suture opening, number of pistachio kernels/100 g, (length/width) pistachio kernel ratio, pistachio kernel flavour and fat content of pistachio kernel were studied.

The evaluation of experimental data was performed by applying a chemometric approach: Principal Component Analysis (PCA), Bayesian Networks method and Network Meta-Analysis. In this regard, based on PCA the first principal component of shell and kernel had high loadings for shell homogeneity. By using Bayesian Networks method, dendrogram of selected pistachio varieties demonstrate a high similitude existing between varieties. Furthermore, the of shell and kernel dendrogram of studied pistachio varieties demonstrated that all studied accessions could be separated into four distinct groups. Based on cluster analysis, a detailed comparison between the varieties demonstrated that the accession named ‘KERMAN’ showed a significant similarity with the Tunisian genotype ‘ELGUETAR’. In this line, Network Meta-Analysis exhibited the different interdependencies between morphological parameters, and the hierarchical clustering via heat maps displayed relationships between studied factors.

These results showed a potential use of desired characteristics at least in some infra-specific studies in Pistacia vera L. The findings of this study will help plant growers by highlighting hidden and eventual relationships between Pistacia vera L. varieties.

本研究建立了开心果（Pistacia vera  L.）9个性状的相应相关性、相互依存性和关系。在这里，研究了开裂壳的百分比、壳均匀性、壳顶点、缝合开口的位置、缝合开口、开心果粒数/100g、开心果仁（长/宽）比、开心果仁风味和开心果仁的脂肪含量。 .

通过应用化学计量学方法对实验数据进行评估：主成分分析 (PCA)、贝叶斯网络方法和网络元分析。在这方面，基于主成分分析，壳和仁的第一主成分对壳同质性具有高负载。通过使用贝叶斯网络方法，所选开心果品种的树状图表明品种之间存在高度相似性。此外，研究的开心果品种的壳和仁树状图表明，所有研究的种质都可以分为四个不同的组。基于聚类分析，品种之间的详细比较表明，名为“KERMAN”的种质与突尼斯基因型“ELGUETAR”具有显着相似性。在这一行中，

这些结果表明，至少在Pistacia vera  L. 的一些特定基础研究中，所需特性的潜在用途。这项研究的结果将通过突出Pistacia vera  L. 品种之间隐藏的和最终的关系来帮助植物种植者。