Homogeneous zones of vegetation index for characterizing variability and site-specific management in vineyards

• Autor(a) principal: Oldoni, Henrique [UNESP]
• Data de Publicação: 2021
• Outros Autores: Silva Costa, Bruno Ricardo [UNESP], Bognola, Itamar Antonio, Souza, Claudia Rita de, Bassoi, Luis Henrique
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1590/1678-992X-2019-0243; http://hdl.handle.net/11449/209430
• topic: Vitis vinifera L.; precision viticulture; proximal sensing; vegetative vigor; grape quality

Characterization of the spatial variability of vegetative vigor in vineyards can help improve the performance of site-specific management practices, or the management of vineyards with different rates. Characterization using canopy proximal sensing has been a widely disseminated technique; however, vineyards in southeastern Brazil, where the utilization of annual double pruning results in a winter harvest, knowledge of the role of variability in improving vineyard management has not yet been applied. This study aimed to determine if post-veraison mapping of a normalized difference vegetation index could be used to assess the variability in grapevine vigor, water status, physiology, yield and berry quality attributes at harvest in an irrigated vineyard in southeastern Brazil. This normalized difference vegetation index was measured with an active canopy sensor, and spatial distribution maps over two growing seasons of a vineyard, managed on an annual double pruning basis, were generated. Attributes of physiological and technological berry maturation, leaf water potential, gas exchange, production, and fresh pruning weight were calculated. These normalized difference vegetation index maps allowed for the determination of variability in vegetative vigor and the productive potential of the vineyard; however, high levels of rainfall during the maturation period may reduce the potential of using these maps for determining berry parameters.