Water stress assessment on grapevines by using classification and regression trees.

摘要: Multiple factors, such as the vineyard environment and winemaking practices, are known to affect development of vines well final composition grapes. Water stress promotes synthesis phenols is associated with grape quality long it does not inhibit production. To identify key parameters for managing water quality, multivariate statistical analysis essential. Classification regression trees methods constructing prediction models from data, especially when data complex a single global model difficult challenging interpret. The were obtained by recursively partitioning space fitting simple within each partition. can be represented graphically decision tree. This approach permitted most decisive variables predicting vulnerable vineyards wine stress. In Priorat AOC, Carignan grapevines had highest potential abscisic acid concentration in early growth plant stages classified mesoclimate. information useful identifying which measurements could easily differentiate between late-ripening vineyards. LWP Ts during an physiological stage (pea size) warm cold areas differentiated.