Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
In this paper, a Conditional Linear Gaussian Network (CLGN) model is built for a two-year experiment on Tuscan Sangiovese grapes involving canopy management techniques (number of buds, defoliation and bunch thinning) and harvest time (technological and late harvest). We found that the impact of the considered treatments on the color of wine can be predicted still in the vegetative season of the grapevine; the best treatments to obtain wines with good structure are those with a low number of buds; the best treatments to obtain fresh wines suitable for young consumers are those with technological rather than late harvest, preferably with a high number of buds, and anyway with both defoliation and bunch thinning not performed.
Wydawca
Czasopismo
Rocznik
Tom
Numer
Strony
25-42
Opis fizyczny
Daty
wydano
2017-06-27
online
2017-06-13
Twórcy
autor
- ,
autor
- ,
- ,
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.doi-10_1515_bile-2017-0002