Drivers of cocoa yield and growth in young monoculture and agroforestry systems

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural Systems Pub Date : 2024-06-26 DOI:10.1016/j.agsy.2024.104044
Antonio Jesús Ariza-Salamanca , Rafael Mª. Navarro-Cerrillo , Jayne Crozier , Clare Stirling , Agnese Mancini , Wilma Blaser-Hart , Pablo González-Moreno
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Abstract

CONTEXT

The expansion of cocoa farming has been linked to deforestation and biodiversity loss in West Africa. Agroforestry systems could potentially increase the sustainability of cocoa production. However, despite the long history of cocoa cultivation in agroforestry systems, the exact mechanism or the combination of factors that drive cocoa growth and yield in these agroecosystems, especially at the cocoa establishment stage, is unclear.

OBJECTIVE

The present study aims to analyse how resource availability, stand characteristics and cocoa tree morphology interact to determine the performance of cocoa during the establishment phase among different cocoa cultivation systems.

METHODS

We studied seven different agroforestry systems and one monoculture system in 53 plots located in a 12-ha cocoa agroforestry trial recently established in Côte d'Ivoire. We characterized each system with 16 variables that described five system components: 1) cocoa yield (number of pods, pods weight, number of productive trees) and cocoa growth (basal diameter), 2) cocoa tree morphology (crown depth, diameter, area, and volume), 3) stand characteristics (number and size of shade trees), 4) light (leaf area index) and 5) water (soil volumetric water content). We used a Structural Equation Modelling (SEM) approach to understand and quantify interactions between the five components.

RESULTS AND CONCLUSIONS

The models were able to largely explain cocoa early yield and juvenile growth variability (respective determination coefficients: 0.45 and 0.92). We observed improved cocoa establishment in certain designs of agroforestry systems compared with monoculture. However, SEM revealed that stand characteristics (i.e. increase in the number and height of shade trees) had a negative effect on cocoa yield and growth via changes in cocoa tree morphology, having path coefficients of −0.48 and − 0.72, respectively. Conversely, we found a positive relationship between the cocoa tree morphology and cocoa early yield, for which the path coefficient was 0.74, the strongest relation. Cocoa tree morphology was more important than stand characteristics, leaf area index, and soil volumetric water content in controlling cocoa yield and growth. Taken together, our results suggest a competition for space between shade trees and cocoa plants. Finding the optimal design of agroforestry systems can help enhance cocoa establishment in the first years, improving the long-term performance of the system.

SIGNIFICANCE

This finding suggests that the competition effect depends on spatial planting pattern and species composition, offering an opportunity to meet the goals of a sustainable intensification of cocoa plantations through the design and management of optimal agroforestry systems.

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新的单一种植和农林系统中可可产量和增长的驱动因素
内容提要可可种植业的扩张与西非的森林砍伐和生物多样性丧失有关。农林系统有可能提高可可生产的可持续性。然而,尽管在农林系统中种植可可的历史悠久,但在这些农业生态系统中,尤其是在可可种植阶段,驱动可可生长和产量的确切机制或因素组合尚不清楚。本研究旨在分析资源可用性、林分特征和可可树形态如何相互作用,以决定不同可可种植系统中可可在建立阶段的表现。方法我们在科特迪瓦最近建立的一个 12 公顷可可农林试验中的 53 个地块中研究了七个不同的农林系统和一个单一种植系统。我们用 16 个变量描述了每个系统的特征,这些变量描述了系统的五个组成部分:1)可可产量(豆荚数量、豆荚重量、丰产树数量)和可可生长(基部直径);2)可可树形态(树冠深度、直径、面积和体积);3)林分特征(遮荫树的数量和大小);4)光照(叶面积指数);5)水分(土壤体积含水量)。我们使用结构方程建模(SEM)方法来理解和量化五个组成部分之间的相互作用。结果和结论:这些模型能够在很大程度上解释可可早期产量和幼苗生长的变化(确定系数分别为 0.45 和 0.92)。我们观察到,与单一种植相比,某些农林系统设计的可可种植率有所提高。然而,SEM 显示,林分特征(即遮荫树数量和高度的增加)通过可可树形态的变化对可可产量和生长产生了负面影响,路径系数分别为 -0.48 和 -0.72。相反,我们发现可可树形态与可可早期产量之间存在正相关关系,其路径系数为 0.74,关系最为密切。在控制可可产量和生长方面,可可树形态比林分特性、叶面积指数和土壤容积含水量更为重要。综上所述,我们的研究结果表明,遮荫树与可可植物之间存在空间竞争。这一研究结果表明,竞争效应取决于空间种植模式和物种组成,这为通过设计和管理最佳农林系统来实现可可种植的可持续集约化目标提供了机会。
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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