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.
|Numero di pagine||8|
|Rivista||European Journal of Agronomy|
|Stato di pubblicazione||Published - 2020|
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