Analysis of drought impact on apple trees using the leafiness- LiDAR index

Apple trees (Malus×domestica Borkh.) are widely cultivated in Mediterranean regions, where drought poses a major challenge to growth and productivity. This study assessed the Leafiness-LiDAR Index (LLI) as a proxy for the Leaf Area Index (LAI) and its relationship with yield parameters, including fr...

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Bibliographic Details
Authors: Sandonís Pozo, Leire, Martínez Casasnovas, José Antonio, Pascual Roca, Miquel
Format: book part
Status:Published version
Publication Date:2025
Country:España
Institution:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repository:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/469331
Online Access:https://doi.org/10.1163/9789004725232_068
https://hdl.handle.net/10459.1/469331
http://hdl.handle.net/10459.1/469331
Access Level:Open access
Keyword:Apple orchard
Canopy structure
Irrigation management
Leaf area index (LAI)
LiDAR
Precision horticulture
Water use efficiency
Description
Summary:Apple trees (Malus×domestica Borkh.) are widely cultivated in Mediterranean regions, where drought poses a major challenge to growth and productivity. This study assessed the Leafiness-LiDAR Index (LLI) as a proxy for the Leaf Area Index (LAI) and its relationship with yield parameters, including fruit count (num/tree), size, weight, and yield (kg/ha), under two irrigation regimes – full irrigation (FI) and deficit irrigation (DI) – and planting densities (0.5 m and 1 m). Results showed a positive correlation between LLI, LAI, and yield, with reduced vegetative growth under drought (DI) conditions. Wider planting frames favoured larger fruit size and higher fruit count, while denser frames increased yield per hectare. LLI proved effective for monitoring canopy dynamics, offering potential for improving productivity and drought resilience.