Relationship between hyperspectral indices, agronomic parameters and phenolic composition of Vitis vinifera cv Tempranillo grapes

• Published in: Journal of the science of food and agriculture Vol. 97; no. 12; pp. 4066 - 4074
• Main Authors: Garcia-Estevez, Ignacio, Quijada-Morin, Natalia, Rivas-Gonzalo, Julián C, Martinez-Fernandez, José, Sanchez, Nilda, Herrero-Jimenez, Carlos M, Escribano-Bailon, M Teresa
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.09.2017; John Wiley and Sons, Limited
• Subjects: Agriculture; Agronomy; Estimation; Food; Fruit - chemistry; Fruit - growth & development; Grapes; Grapevines; Harvest; hyperspectral indices; Mathematical analysis; Normalized difference vegetative index; phenolic composition; Phenolic compounds; Phenols; Phenols - chemistry; Plant Extracts - chemistry; principal component regression; Radiometry; Soil - chemistry; Tempranillo grapes; Time measurement; Vegetation; Vigor; Vitis - chemistry; Vitis - growth & development; water status; hyperspectral indices; phenolic composition; Tempranillo grapes; principal component regression; water status
• ISSN: 0022-5142; 1097-0010
• DOI: 10.1002/jsfa.8366

BACKGROUND The phenolic composition of grapes is key when making decisions about harvest date and ensuring the quality of grapes. The present study aimed to investigate the relationship between the detailed phenolic composition of grapes and the agronomic parameters and hyperspectral indices, with the latter being measured via field radiometry techniques. RESULTS Good correlations were found between phenolic composition (both anthocyanin and flavanol composition) and some hyperspectral indices related to vigor, such as the NDVI (normalized difference vegetation index) and the SAVI (soil adjusted vegetation index). The strongest correlations were observed between the phenolic composition of grape skin at harvest time and variables measured from grapes at veraison time, as well as variables determined from grapevines at harvest time. The potential usefulness of these hyperspectral indices calculated from measurements performed directly on grapes or grapevines for estimating the anthocyanin and flavanol composition of grape skins was indicated by the high coefficients of determination (R2 = 0.7955 and R2 = 0.8594, respectively) as obtained by means of principal component regression. CONCLUSION According to the results of the present study, hyperspectral indices calculated from measurements performed directly on grapes at veraison time or on grapevines at harvest time may be useful for estimating the anthocyanin and flavanol composition of grape skins. This suggests that field radiometry might provide valuable information for estimating the phenolic composition of grapes, which may prove to be very useful when establishing strategies for harvest planning. © 2017 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.