Buddenhagen C E, Hernandez Nopsa J F, Andersen K F, Andrade-Piedra J, Forbes G A, Kromann P, Thomas-Sharma S, Useche P, Garrett K A
First, second, third, and ninth authors: Plant Pathology Department, Institute for Sustainable Food Systems, and Emerging Pathogens Institute, University of Florida, Gainesville 32611; fourth and fifth authors: International Potato Center, Lima, Peru; sixth author: International Potato Center, Quito, Ecuador; seventh author: Plant Pathology Department, Kansas State University, Manhattan 66506; and eighth author: Food and Resource Economics Department, University of Florida.
Phytopathology. 2017 Oct;107(10):1209-1218. doi: 10.1094/PHYTO-03-17-0108-FI. Epub 2017 Aug 25.
Seed systems have an important role in the distribution of high-quality seed and improved varieties. The structure of seed networks also helps to determine the epidemiological risk for seedborne disease. We present a new approach for evaluating the epidemiological role of nodes in seed networks, and apply it to a regional potato farmer consortium (Consorcio de Productores de Papa [CONPAPA]) in Ecuador. We surveyed farmers to estimate the structure of networks of farmer seed tuber and ware potato transactions, and farmer information sources about pest and disease management. Then, we simulated pathogen spread through seed transaction networks to identify priority nodes for disease detection. The likelihood of pathogen establishment was weighted based on the quality or quantity of information sources about disease management. CONPAPA staff and facilities, a market, and certain farms are priorities for disease management interventions such as training, monitoring, and variety dissemination. Advice from agrochemical store staff was common but assessed as significantly less reliable. Farmer access to information (reported number and quality of sources) was similar for both genders. However, women had a smaller amount of the market share for seed tubers and ware potato. Understanding seed system networks provides input for scenario analyses to evaluate potential system improvements. [Formula: see text] Copyright © 2017 The Author(s). This is an open access article distributed under the CC BY 4.0 International license .
种子系统在优质种子和改良品种的分发中发挥着重要作用。种子网络的结构也有助于确定种传疾病的流行病学风险。我们提出了一种评估种子网络中节点流行病学作用的新方法,并将其应用于厄瓜多尔的一个区域马铃薯农民联盟(Consorcio de Productores de Papa [CONPAPA])。我们对农民进行了调查,以估计农民种薯和商品马铃薯交易网络的结构,以及农民关于病虫害管理的信息来源。然后,我们模拟病原体通过种子交易网络的传播,以确定疾病检测的优先节点。根据有关疾病管理的信息来源的质量或数量,对病原体定殖的可能性进行加权。CONPAPA的工作人员和设施、一个市场以及某些农场是疾病管理干预措施(如培训、监测和品种推广)的重点对象。农药店工作人员的建议很常见,但被评估为可靠性明显较低。男女农民获取信息的情况(报告的信息来源数量和质量)相似。然而,女性在种薯和商品马铃薯的市场份额中占比更小。了解种子系统网络为情景分析提供了依据,以评估潜在的系统改进。[公式:见正文] 版权所有© 2017作者。本文是一篇根据知识共享署名4.0国际许可协议分发的开放获取文章。