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Assessment of yield and economic losses caused by pests and diseases in a range of management strategies and production situations in coffee agroecosystems

机译:在咖啡农业生态系统的一系列管理策略和生产情况下,评估由病虫害引起的产量和经济损失

摘要

Crop losses due to pests and diseases are a major threat to incomes and food security of thousands of rural families worldwide. The assessment of crop losses (yield and economic losses) and their causes is needed to improve the development of agroecosystem s capable to offer good crop yields, regulation of pests and diseases, and other ecosystem services. This doctoral research aimed to contribute to the research field of crop losses, by providing experimental and modeling approaches that could be used in perennial crops to estimate primary and secondary losses and analyze their causes. We worked in a perennial crop such as coffee, in Turrialba, Costa Rica, where coffee is grown in plantations from monocultures at full sun exposure to highly diversified agroforestry systems, and under a range of production situations (topoclimate, soil fertility, types of shade) and management strategies (agricultural practices and inputs). The three main research questions were: What is the impact of management strategies and production situations on pests and diseases and coffee yields? How do coffee yield losses caused by injury profiles vary in function of management strategies and production situations? Which types of coffee agroecosystems are capable to obtain the lowest coffee losses (yield and economic) and highest overall benefits (ecosystem services)? This research was developed through two experimental designs. The first was an experimental coffee parcel under controlled conditions (three - year experiment) to quantify primary and secondary yield losses by comparison of treatments, and to identify the main predictors of yield losses by structural equation modeling. The second experimental design was based on surveys in a coffee research plot network (coffee plots of smallholder farmers), where, during two years, we measured indicators of yields and indicators of four ecosystem services: regulation of pests and diseases, provisioning of agroforestry products, maintenance of soil fertility, and carbon sequestration. Yield losses in this network were estimated through modeling using the predictors identified in the experimental coffee parcel. Analyses of data included several statistical techniques, from analysis of variances, linear regressions to multivariate techniques. The results were organized in four manuscripts, and then discussed integrally. The main findings were: i) Both production situations and management strategies determine coffee yield and pest and disease injuries, effects of interactions altitude x management x types of shade must be considered; ii) Injury profiles depend on particular combinations of production situations and management strategies, with impacts on yield losses especially in a year of high coffee production (primary yield losses), but compromising also the yields of the next year (secondary yield losses); iii) Diversified agroforestry systems have better chances to regulate pests and diseases (reduce yield and economic losses), and simultaneously provide goods for family benefits, maintain soil fertility, and increase carbon sequestration, without implying trade-offs among these ecosystem services. The main prospects of this research are related to perform similar studies in coffee and other perennials at regional levels, develop an injury profile simulator for coffee, and prototyping of coffee agroforestry systems to optimize the provision of multiple ecosystem services. (Résumé d'auteur)
机译:病虫害造成的农作物损失是全世界成千上万农村家庭收入和粮食安全的重大威胁。需要对作物损失(产量和经济损失)及其原因进行评估,以改善能够提供良好农作物产量,调节病虫害和其他生态系统服务的农业生态系统。这项博士研究旨在通过提供可用于多年生作物以估算主要和次要损失并分析其原因的实验和建模方法,为作物损失的研究领域做出贡献。我们在哥斯达黎加的图里亚尔巴(Turrialba)种植多年生农作物,例如咖啡,该农作物是在单一种植的人工林中种植的,在完全阳光照射下,在高度多样化的农林业体系中,并且在各种生产条件下(气候,土壤肥力,阴影类型) )和管理策略(农业实践和投入)。三个主要的研究问题是:管理策略和生产状况对病虫害和咖啡产量有何影响?伤害造成的咖啡产量损失在管理策略和生产情况的功能上如何变化?哪些类型的咖啡农业生态系统能够获得最低的咖啡损失(产量和经济效益)和最高的总体效益(生态系统服务)?这项研究是通过两个实验设计开发的。第一个是在受控条件下进行的实验性咖啡包(三年实验),通过比较处理来量化一次和二次产量损失,并通过结构方程模型确定产量损失的主要预测因子。第二项实验设计基于咖啡研究地块网络(小农户的咖啡地块)中的调查,该网络在两年内测量了产量指标和四种生态系统服务指标:病虫害防治,农林产品供应,维持土壤肥力和固碳。通过使用实验性咖啡包中确定的预测变量进行建模,可以估算该网络中的产量损失。数据分析包括多种统计技术,从方差分析,线性回归到多元技术。结果被组织在四个手稿中,然后进行了整体讨论。主要发现是:i)生产情况和管理策略都决定咖啡的产量以及病虫害,必须考虑相互作用的影响x管理x阴影类型; ii)伤害情况取决于生产情况和管理策略的特定组合,对产量损失的影响尤其是在高咖啡产量的一年中(主要产量损失),但也会损害下一年的产量(次要产量损失); iii)多样化的农林业系统有更好的机会控制病虫害(减少产量和经济损失),同时为家庭利益提供商品,保持土壤肥力和增加碳固存,而不会暗示在这些生态系统服务之间进行权衡。这项研究的主要前景与在区域级别对咖啡和其他多年生植物进行类似研究,开发咖啡伤害概况模拟器以及咖啡农林业系统的原型设计以优化多种生态系统服务的提供有关。 (Résuméd'auteur)

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    Cerda Rolando;

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  • 年度 2017
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  • 正文语种 eng
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