Data collection and advanced statistical analysis in phytotoxic activity of aerial parts exudates of Salvia spp

Revista Brasileira de Farmacognosia

Romussi, G.¹  Università di Salerno, Italia¹  Bertolini, S.¹  Fraternale, D.¹  Giacomelli, E.¹  Bisio, A.¹  De Tommasi, N.¹  Giacomini, M.¹  Pivetti, S.¹  Ricci, D.¹  Università di Urbino, Italia¹  Università di Genova, Italia¹ 

关键词: Data Analysis;    Phytotoxicity;    Germination Indices;    Web Based Database for Long;    Distance Interactions;    Neural Networks;    Self-Organising Maps;   

DOI  :  10.1590/S0102-695X2011005000140

来源: Sociedade Brasileira de Farmacognosia

【 摘 要 】

In order to define the phytotoxic potential of Salvia species a database was developed for fast and efficient data collection in screening studies of the inhibitory activity of Salvia exudates on the germination of Papaver rhoeas L. and Avena sativa L.. The structure of the database is associated with the use of algorithms for calculating the usual germination indices reported in the literature, plus the newly defined indices (Weighted Average Damage, Differential Weighted Average Damage, Germination Weighted Average Velocity) and other variables usually recorded in experiments of phytotoxicity (LC50, LC90). Furthermore, other algorithms were designed to calculate the one-way ANOVA followed by Duncan's multiple range test to highlight automatically significant differences between the species. The database model was designed in order to be suitable also for the development of further analysis based on the artificial neural network approach, using Self-Organising Maps (SOM).

【 授权许可】

Unknown