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Bayesian and Phylogenic Approaches for Studying Relationships among Table Olive Cultivars

机译：贝叶斯和文学发生方法，用于研究表橄榄品种关系中的关系

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摘要

To enhance table olive tree authentication, relationship, and productivity, we consider the analysis of 18 worldwide table olive cultivars (Olea europaea L.) based on morphological, biological, and physicochemical markers analyzed by bioinformatic and biostatistic tools. Accordingly, we assess the relationships between the studied varieties, on the one hand, and the potential productivity-quantitative parameter links on the other hand. The bioinformatic analysis based on the graphical representation of the matrix of Euclidean distances, the principal components analysis, unweighted pair group method with arithmetic mean, and principal coordinate analysis (PCoA) revealed three major clusters which were not correlated with the geographic origin. The statistical analysis based on Kendall's and Spearman correlation coefficients suggests two highly significant associations with both fruit color and pollinization and the productivity character. These results are confirmed by the multiple linear regression prediction models. In fact, based on the coefficient of determination (R-2) value, the best model demonstrated the power of the pollinization on the tree productivity (R-2 = 0.846). Moreover, the derived directed acyclic graph showed that only two direct influences are detected: effect of tolerance on fruit and stone symmetry on side and effect of tolerance on stone form and oil content on the other side. This work provides better understanding of the diversity available in worldwide table olive cultivars and supplies an important contribution for olive breeding and authenticity.
机译：为了增强表橄榄树认证，关系和生产力，我们考虑基于通过生物信息和生物静止工具分析的形态学，生物学和物理化学标志物的18个全球表橄榄品种（Olea Europaea L.）的分析。因此，我们在一方面评估所研究的品种之间的关系，另一方面是潜在的生产力定量参数链路。基于欧几里德距离基质的图形表示的生物信息分析，主成分分析，具有算术平均值的未加权对组方法，以及主坐标分析（PCOA）揭示了三个主要簇，其与地理起源没有相关。基于KENDALL和SPEARMAN相关系数的统计分析表明了两个具有果实颜色和粉粉化的两个高度重要的关联和生产力性质。这些结果由多元线性回归预测模型确认。实际上，基于确定系数（R-2）值，最佳模型证明了粉粉化的功率对树生产率（R-2 = 0.846）。此外，衍生的定向非循环图表明，只检测到两种直接影响：耐受性对果实和石头对称的影响及其对另一侧的石材和油含量的影响。这项工作更好地了解全球橄榄品种中可用的多样性，并为橄榄育种和真实性提供重要贡献。

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