Analysis of Cashew Tree Yield Variability at the Tree and Orchard Scales
Introduction The cashew tree (Anacardium occidentale L.), a perennial species belonging to the Anacardiaceae family, is native to northeastern Brazil. Widely recognized for the significant economic value of its fruit—the cashew nut—the species was introduced to Africa and Asia by the Portuguese [1]. Although initially deployed to combat soil erosion, it has since evolved into a major cash crop across West Africa [2]. This transition is driven by its high market value, the increasing organization of the value chain, and its vital socioeconomic role in rural communities. Currently cultivated in nearly all tropical regions, cashew nuts hold a strategic position in Côte d’Ivoire, which emerged as the world’s leading producer of raw cashew nuts (RCN) in 2019 [3]. By 2023, Ivorian production reached an estimated 1,225,935 tons, accounting for approximately 40% of global output [4]. The cashew tree plays a fundamental role in the socioeconomic landscape of rural populations in Côte d’Ivoire. Much like cocoa, its cultivation enables the northern and northeastern regions to bolster financial resources and improve access to essential education and healthcare services. Cashew farming is predominantly characterized by smallholder family farms, with plots typically ranging from 0.5 to 3 hectares. These systems frequently employ intercropping with food crops, a strategy that not only optimizes land utilization but also reduces maintenance costs; specifically, the expanding canopy of the cashew trees naturally suppresses weed growth. Revenue generated from the marketing of cashew nuts is further utilized to fund social ceremonies (such as weddings, funerals, and rituals), acquire consumer goods (including motorcycles and appliances), and invest in housing construction [5]. Overall, the cashew sector supports approximately 2.5 million Ivorians and contributes 7% to the national Gross Domestic Product (GDP) [5]. Despite its socioeconomic importance, the average yield per hectare remains relatively low, estimated at 620 kg/ha, which is significantly below the optimal potential of 1,200 kg/ha for raw cashew nuts (RCN). This yield gap is attributed to several factors, including insufficient agricultural investment, limited knowledge regarding input application, and a lack of proficiency in essential cultural practices, such as pruning. Previous studies have highlighted these challenges, emphasizing that specific agricultural behaviors and technical constraints directly contribute to the low productivity of orchards across the region [7, 8, 9]. Notwithstanding the alarming data on low yields, comprehensive knowledge of tree cropping systems in West Africa remains limited and fragmented. Whether at the micro-scale (individual tree) or the macro-scale (plot or production basin), available data are frequently imprecise, incomplete, or absent In Côte d’Ivoire, while cashew nuts occupy a strategic position in rural economies—serving as an essential income source for producers in the north and northeast—the crop’s potential remains largely under-exploited. This underperformance is compounded by high yield variability, which remains poorly documented at both the tree and orchard levels. A deeper understanding of this variability is therefore critical to identifying primary limiting factors and developing tailored agronomic interventions. In this context, the present study aims to analyze cashew nut yield variability at two distinct levels: the individual tree and the orchard. Specifically, the objectives are to: Research Hypotheses H1: Tree productivity varies significantly based on age and planting density. H2: Tree morphology (height, trunk diameter, and canopy diameter) is significantly influenced by both planting density and tree age. METHODS Materials And Methods This section details the resources and procedures implemented to conduct the study. It is organized into two primary components: Materials, which include a description of the study site, plant material, and measurement tools; and Methods, which provide a detailed account of the data collection protocols and statistical analyses. Study Site The study was conducted across 24 orchards in the Poro region (8°26’–10°27′ N, 8°26’–10°27′ W). Covering an area of 13,400 km², the Poro region is organized into four departments: Dikodougou, Korhogo (the regional capital), M’Bengué, and Sinématiali. The regional climate is Sudanese, characterized by a distinct dry season from November to April and a rainy season from May to October [10]. Annual rainfall typically ranges from 1,000 to 1,400 mm, with average monthly temperatures between 26.93°C and 27.02°C, peaking at approximately 36°C in March [11]. The vegetation is diverse, featuring Sudanese savanna in the northern reaches and sub-Sudanese savanna in the south. The topography is varied, with elevations such as Mount Korhogo exceeding 500 m. Soils are predominantly ferralitic, ferruginous, and hydromorphic, characterized by high permeability and porosity. The local economy is primarily driven by livestock and agriculture, including major cash crops (cotton and cashew) as well as food crops (yam, rice, and sorghum). Materials This subsection details the equipment used, ranging from field data collection (morphological and yield parameters) to laboratory-based statistical processing. Plant Material The plant material consisted of cashew trees (Anacardium occidentale L.) located within 24 orchards delineated into study plots in the Poro region. Technical Equipment Cashew tree dimensions were measured using a decameter, while a graduated wooden pole was used for height measurements. Plot boundaries (2,500 m²) were established using ropes, and the seven selected sample trees per plot were marked with spray paint. For nut collection and measurement, harvest bags and a precision scale were used. Data (nut mass and quantity per tree and per plot) were initially recorded in field notebooks and subsequently digitized using Open Data Kit (ODK). Methods Orchard Selection To analyze cashew yield variability at both the tree and plot scales, four age categories were selected: 5, 10, 20, and 30 years. These categories were chosen to better understand yield fluctuations and tree physiological behavior over time. Data Collection Design A preliminary survey was conducted to assess orchard age and density. Consequently, the selection focused on these two factors. For each of the four age categories (5, 10, 20, and 30 years), three planting density classes were defined: Plot Establishment: Based on these criteria, 18 orchards were selected (2 orchards per density class × 3 density classes × 4 age categories — Note: Please verify if the total is 18 or 24 based on your math). Within each orchard, a 50 m × 50 m (2,500 m²) plot was established, and seven specific trees were monitored within each … Read more