Abstract Coriander (Coriandrum sativum L., Apiaceae) is a Mediterranean aromatic plant that is mainly cultivated for its fruits. Understanding the association between various vegetative and reproductive structures as they pertain to yield can help addressing efforts for achieving the highest productivity levels, by improving both cropping techniques and breeding. Multiple Regression (MR) analysis is a suitable tool to understand this association; notwithstanding, due to the plant’s inherent “weedy” growth, the interpretation of MR results in coriander is often difficult. Therefore, in our analysis we also calculated additional indicators of variable contribution to the model and to one another. We analyzed data (n = 193) obtained from field experiments on coriander carried out in Sicily from 1999 to 2007. Nine plant variables were submitted to different MR approaches, including Path Analysis (PA), Commonality Analysis (CA) and Dominance Analysis (DA). All MR analyses attributed to the number of umbels per plant the highest importance in assessing both seed and straw yield. Additionally, the mass of one umbel proved to be a strong determinant of fruit yield per plant, whereas the umbel diameter was relevant for the assessment of plant straw production. This information will be useful for addressing coriander cropping technique and breeding.

中文翻译：

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植物结构作为香菜 (Coriandrum sativum L.) 种子和秸秆产量的决定因素

摘要 芫荽（Coriandrum sativum L.，Apiaceae）是一种地中海芳香植物，主要​​栽培其果实。了解与产量有关的各种营养结构和生殖结构之间的关联，有助于通过改进种植技术和育种来努力实现最高生产力水平。多重回归 (MR) 分析是了解这种关联的合适工具；尽管如此，由于植物固有的“杂草”生长，香菜中 MR 结果的解释通常很困难。因此，在我们的分析中，我们还计算了对模型和彼此之间的变量贡献的额外指标。我们分析了从 1999 年到 2007 年在西西里岛进行的香菜田间试验中获得的数据 (n = 193)。九个工厂变量被提交给不同的 MR 方法，包括路径分析 (PA)、共性分析 (CA) 和优势分析 (DA)。所有 MR 分析都将每株植物的伞形花序数归因于评估种子和秸秆产量的最高重要性。此外，一个伞形花序的质量被证明是每株植物果实产量的重要决定因素，而伞形花序直径与植物秸秆产量的评估相关。这些信息将有助于解决香菜种植技术和育种问题。一个伞形花序的质量被证明是每株植物果实产量的重要决定因素，而伞形花序直径与植物秸秆产量的评估相关。这些信息将有助于解决香菜种植技术和育种问题。一个伞形花序的质量被证明是每株植物果实产量的重要决定因素，而伞形花序直径与植物秸秆产量的评估相关。这些信息将有助于解决香菜种植技术和育种问题。