Tag: Soil Management
Diversity of Culturable Endophytic Fungi Associated with Avocado Orchards Under Organic and Conventional Management
Endophytic fungi constitute a great resource for the implementation of sustainable agricultural practices. However, their diversity may be altered by agrochemicals used in conventionally managed agrosystems. Here we explored the culturable diversity of endophytic fungi associated with avocado (Persea americana Mill.) in conventional and organic orchards from three counties of the world’s leading productive region. In total, 529 endophytic fungal isolates were obtained from branches and roots of
Influence of Deficit Irrigation and Absorbent Materials on “Hass” Avocado Cv.:B- Leaf Chemical Composition, Water Use Efficiency and Economical Returns
Avocado (Persea americana Mill.) is a globally important fruit crop, with the 'Hass' cultivar being the most widely cultivated. Water scarcity threatens the sustainability of avocado production in arid and semi-arid regions. During (2023–2024) field study was established to evaluate the effects of two soil absorbent materials biopolymer and zeolite applied at 500, 1000, and 1500 g/tree under three regulated deficit irrigation regimes (100%, 80%, and 70% of irrigation requirements, IR) on leaf chemical
Impacts of Converting Native Grassland into Arable Land and an Avocado Orchard on Soil Hydraulic Properties at an Experimental Farm in South Africa
The main objective of this study was to evaluate the changes in soil water retention curve (WRC) and pore size distribution in the 0–10, 10–20, and 20–30 cm layers following grassland conversion into arable land and an avocado orchard. Undisturbed soil cores were sampled using cylindrical metal cores to determine WRCs. The RETC program was used to fit the van Genuchten equation to the measured water retention data. The maximum equivalent radius (r) of soil pores retaining water at various matric
Production systems of Hass avocado among small-scale Colombian farmers: assessment and strategies for strengthening sustainable integration into export markets
Introduction: Colombia’s Hass avocado sector has grown rapidly, yet smallholders face unequal access to technology, certification, and export channels. Understanding the determinants of sustainable practice adoption is key to inclusive competitiveness and compliance with international standards.Methods: We analyzed a cross-sectional survey of n = 3,867 small-scale Hass avocado producers across 18 departments (2023–2024). Descriptive statistics and correlation analysis were followed by four
Avocado drought stress alleviation through different soil amendments
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Under the uncertain scenario of water availability for irrigation, plants are often exposed to drought periods, which can negatively impact their vegetative growth and yield potential. To address this issue, various soil amendments including inorganic, organic, and biological treatments, have been investigated as solutions for mitigating water stress. However, comparative studies of different amendments are lacking. The aim of this study was to assess the efficacy of various soil amendments
Under the uncertain scenario of water availability for irrigation, plants are often exposed to drought periods, which can negatively impact their vegetative growth and yield potential. To address this issue, various soil amendments including inorganic, organic, and biological treatments, have been investigated as solutions for mitigating water stress. However, comparative studies of different amendments are lacking. The aim of this study was to assess the efficacy of various soil amendments
Accessible drone image processing for sustainable resource management of 3D tree-like crops using unsupervised algorithms
This study presents a novel AI-driven solution designed to enhance sustainable resource management and increase accessibility for farmers through visualized and digitalized tree information. The proposed methodology includes optimizing drone mapping for effective data coverage, capturing high-resolution imagery, and generating a 3D Point Cloud, with a particular emphasis on the integration of Weighted K-means, Density-based spatial clustering of applications with noise (DBSCAN), and cluster separation