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    Not AvailableThe study on impact of leaf thickness on biochemical, yield and quality parameters of grape genotypes was conducted at the research and development farm of National research Centre for grapes during the year 2013-14. Different grape varieties in relation with leaf thickness were selected. A positive correlation was observed between biochemical changes in grape berries and yield and quality of grapes. Among the different biochemical parameters thin leaf varieties found highest reducing sugar in Maro Seedless followed by E12/2 (BB-CLB) where as the least reducing sugar was recorded in Madhu Angur. Highest protein content was recorded in Maro Seedless and least amount protein content was recorded in Kishmish, Rozavis. The phenol content in thin leaf varieties were varied significantly and highest phenol was recorded in Kishmish, Rozavis and least total phenolic recorded in Maro Seedless grapes while the highest starch content in the varieties in Maro Seedless followed by E 12/2 (BB-CLB) variety, However the Tas-A-Ganesh exhibited lower amount (2.1 mg/g) of starch. The significant differences were recorded to acidity and total soluble solids in relation to leaf thickness in different varieties. It was also observed that with increase in reducing sugar of berries and the total soluble solids in berries increased but total acidity was decreased. The highest TSS and maximum reducing sugar was recorded in variety Pearl of Csaba and Least TSS in E5-4 variety. TSS in the berries positively correlated with reducing sugar while negatively correlated with total acidity. Considering the above results, it can be concluded that the variety Pearl of Csaba (seeded, medium leaf size) were found to be superior for reducing sugar, average bunch weight, T.S.S. and yield per vine while Saperavi (seeded, thick leaf size) seems to be better in maximum phenolics, starch and yield per vine. Pearl of Csaba (seeded, medium leaf size) variety can be used as breeding line for increasing bunch weight and yield per vine.Not Availabl
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