Work

Comprehensive dataset for olive tree varieties responses to different level of drought stress

Year: 2025

Type: data-paper

Abstract: This study presents a detailed dataset on the growth responses of 80 young olive trees from three varieties: Haouzia and Menara (Moroccan) and Languedoc (French), under varying levels of water stress. The experiment was organised into eight groups: four experimental (A1, B1, C1, D1) and four control (A2, B2, C2, D2), with each group comprising 10 olive trees (4 Languedoc, 3 Menara, and 3 Haouzia). The olive trees were subjected to four distinct irrigation regimes, with groups A1 and A2 receiving 100 % of the water requirement, groups B1 and B2 receiving 50 %, groups C1 and C2 receiving 25 %, and groups D1 and D2 receiving no irrigation (0 %). Weekly data collection included trunk diameter, tree height, number of branches, SPAD values, leaf temperature, canopy cover, and individual tree images. This dataset offers valuable information for prospective researchers working on the impacts of drought stress on different varieties of olive trees, facilitating comparative analysis at varying stress levels. It is also useful for farmers, providing insights that can help optimize irrigation strategies and improve drought resilience in olive tree cultivation. The dataset can also be used to develop predictive artificial intelligence models for monitoring and analyzing drought stress in olive trees.

Source: Data in Brief

DOI: 10.1016/j.dib.2025.112026

Authors: Kaloma Usman Majikumna, Mhamed Zineddine, Musa Mustapha, Liron Friedman, Eran Kaufman, Ahmed El Hilali Alaoui

Institutions: Euro-Mediterranean University of Fes, Shenkar College of Engineering and Design

Language: English

Topic: Irrigation Practices and Water Management

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $1,220