山东省自荷兰引进植物种苗有害生物数据采集与风险分析  

Collection Data and Risk Analysis on Seedling Pests Introduced from Netherlands to Shandong Province

作　　者：张晴晴[1,2] 杨勤民[3] 刘勇[1,2] 牟少敏[1] 

机构地区：[1]山东农业大学大数据中心,山东泰安271018 [2]山东农业大学植物保护学院,山东泰安271018 [3]山东省农业厅植物保护总站,山东济南250100

出　　处：《山东农业大学学报（自然科学版）》2015年第6期822-826,共5页Journal of Shandong Agricultural University：Natural Science Edition

基　　金：山东农业大学农业大数据项目(01575018)

摘　　要：大数据正在逐步改变我们的世界,分析挖掘庞大的农业数据将给农业带来新的变革。从国外(含境外)引进优良的种质资源和作物品种,是发展现代农业的客观需求。由于有害生物与其寄主植物有相同的起源中心,引种不可避免地会带来外来有害生物随种苗传入的风险。本文主要以2006年以来山东省自荷兰引进植物种苗的种类、引种数量等基础数据,确立了自荷兰引种作物的关键种类为十字花科甘蓝、葫芦科、百合科芦笋和茄科植物,并确定了其风险评价指标和评判标准,构建了国外引种风险分析模型并计算了风险值,为农业大数据分析和数据挖掘提供数据支持。Big data is changing our world gradually and the analysis of vast agricultural data will bring new changes in agriculture. Introduction of excellent germplasm resources and crop varieties from abroad（including overseas） are objective demands of developing modern agriculture. Due to the same origin center between harmful organism and its host plant,introducing seedlings will inevitably bring the risk of incoming seeds with alien pests. Based on the data of species, quantity of seeds and seedlings which are introduced from Netherlands in Shandong Province since 2006, the main crop species including cruciferous cabbage, cucurbitaceous plants, liliaceous asparagus and Solanaceous plants have been established. The risk evaluation index and evaluation standard were also determined. The risk analysis model of foreign introduction was constructed to calculate the risk value so as to provide data support for data analysis and mining of agriculture.

关 键 词：农业大数据 荷兰 植物引种 风险分析模型 

分 类 号：S322.2[农业科学—作物遗传育种] TP274.2[农业科学—农艺学]