Interactions Between Leaf Area Dynamics and Vineyard Performance, Environment, and Viticultural Practices

Yishai Netzer, Noa Ohana-Levi

Research output: Contribution to journalArticlepeer-review

Abstract

The Leaf Area Index (LAI) is a key physiological metric in viticulture, associated with vine health, yield, and responsiveness to environmental and management factors. This study, conducted in a Mediterranean Sauvignon Blanc vineyard (2017–2023), examines how irrigation and environmental variables affect LAI across phenological stages, and their impact on yield (clusters per vine, cluster weight, total yield) and pruning parameters (cane weight, pruning weight). Results show that irrigation is the primary driver of LAI, with increased water availability promoting leaf area expansion. Environmental factors, including temperature, vapor pressure deficits, and solar radiation, influence LAI dynamics, with chilling hours playing a crucial role post-veraison. Excessive LAI (>1.6–1.7) reduces yield due to competition between vegetative and reproductive sinks. Early-season LAI correlates more strongly with yield, while late-season LAI predicts pruning weight and cane growth. Machine learning models reveal that excessive pre-veraison LAI in one season reduces cluster numbers in the next. This study highlights LAI as a critical tool for vineyard management. While irrigation promotes vegetative growth, excessive LAI can hinder fruit set and yield, emphasizing the need for strategic irrigation timing, canopy management, and climate adaptation to sustain long-term vineyard productivity.

Original languageEnglish
Article number618
JournalAgriculture (Switzerland)
Volume15
Issue number6
DOIs
StatePublished - Mar 2025

Keywords

  • agrometeorology
  • leaf area index
  • machine learning
  • pruning components
  • vine physiology
  • Vitis vinifera
  • yield components

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