The effect of NaCl-salinity on growth responses and tissue mineral content was investigated for two olive (Olea europaea L.) genotypes of different vigor, Leccino and Frantoio. Forty-day-old self-rooted plants were grown for a 60-day period in a sand culture system supplied with a 1/2 strength Hoagland solution with the addition of 0,12.5,25,50, and 100 mM NaCl. Plants were harvested at 12-day intervals, and the dry weights of shoot, and principal and lateral roots were evaluated. Relative growth rate (RGR) was also estimated. At the same time, plant tissues were analysed for N,

RESUMEN Modelos multivariantes para clasificar aceites de oliva vírgenes Toscanos por zona.Para estudiar y clasificar aceites de oliva vírgenes Toscanos, se utilizaron 179 muestras, que fueron obtenidas de frutos recolectados durante la primera mitad de Noviembre, de tres zonas diferentes de la Región. El muestreo fue repetido durante 5 años. Se analizaron ácidos grasos, fitol, alcoholes alifáticos y triterpénicos, dialcoholes triterpéni-cos, esteróles, escualeno y tocoferoles. Se consideró un subconjunto de variables que fueron seleccionadas en un trabajo anterior como el más efectivo y fiable, desde el punto de vista univariado. Los datos analíticos se transformaron (excepto para el cicloartenol) para compensar las variaciones anuales, restándose la media de la zona Este de los demás valores, dentro de cada año. Se calcularon los modelos de tres clases univariados y además se desecharon variables. Posteriormente, se evaluaron modelos de tres zonas incluyendo fitol (que siempre fue seleccionado) y todas las combinaciones de ácidos palmí-tico, palmitoleico y oleico, tetracosanol, cicloartenol y escualeno. Se estudiaron modelos incluyendo desde dos a siete variables. El modelo mejor mostró errores de clasificación por zona inferiores al 40%, errores de clasificación por zona dentro del año menores del 45% y errores de clasificación global igual al 30%. Este modelo incluye fitol, ácido palmítico, tetracosanol y cicloartenol. PALABRAS-CLAVE: Aceite de oliva virgen -Análisis discriminante -Modelo de clasificación -Toscana -Vapables canónicas. SUMMARY Multivariate models to classify Tuscan virgin olive oils by zone.In order to study and classify Tuscan virgin olive oils, 179 samples were collected. They were obtained from drupes harvested during the first half of November, from three different zones of the Region. The sampling was repeated for 5 years. Fatty acids, phytol, aliphatic and triterpenic alcohols, triterpenic dialcohols, sterols, squalene and tocopherols were analyzed. A subset of variables was considered. They were selected in a preceding work as the most effective and reliable, from the univariate point of view. The analytical data were transformed (except for the cycloartenol) to compensate annual variations, the mean related to the East zone was subtracted from each value, within each year. Univariate three-class models were calculated and further variables discarded. Then multivariate three-zone models were evaluated, including phytol (that was always selected) and all the combinations of palmitic, palmitoleic and oleic acid, tetracosanol, cycloartenol and squalene. Models including from two to seven variables were studied. The best model shows by-zone classification errors less than 40%, by-zone within-year classification errors that are less than 45% and a global classification error equal to 30%. This model includes phytol, palmitic acid, tetracosanol and cycloartenol.

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