首页> 外文会议>International Conference Geospatial Information in Agriculture and Forestry >Use of geospatially-referenced disease and weather data to improve site-specific forecasts for Stewart's disease of corn in the U.S. Corn Belt
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Use of geospatially-referenced disease and weather data to improve site-specific forecasts for Stewart's disease of corn in the U.S. Corn Belt

机译:在美国玉米皮带中使用地理位置引用的疾病和天气数据来改善斯图尔特病的猪肉疾病的现场预测

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Stewart's disease of corn, caused by the bacterium Pantoea stewartii (syn. Erwinia stewartii), is important because its presence within seed corn fields can prevent the export of seed corn due to quarantine (phytosanitary) restrictions. Phytosanitary field inspection reports for 1972 through 1998 (500 to over 1300 fields/year), and mean monthly temperatures for Dec, Jan, and Feb preceding each inspection year, were geospatially-referenced by county using ArcView geographic information systems (GIS) software. Warmer winter temperatures during Dec, Jan, and Feb generally allow greater numbers of the insect vector (corn flea beetles, Chaetocnema pulicaria) to survive, thereby increasing the risk of Stewart's disease epidemics due to higher levels of initial inoculum (infested beetles) that will be present during the ensuing growing season. Weather-based models to accurately predict the risk of Stewart's disease in the U.S. Corn Belt, however, have not been developed. Using GIS software, risk maps were created to graphically depict seasonal, regional, and county risks for Stewart's disease. Using this approach, we found that counties with mean monthly temperatures < 24 F (-4.4 C) for at least 2 of the 3 winter months had zero to low risk of Stewart's disease (< 2 percent prevalence), while counties with mean monthly temperatures >= 24 F for at least 2 or 3 winter months had a moderate to high risk, respectively. Using individual monthly mean temperatures for Dec, Jan, and Feb (Iowa State Method), we accurately predicted that 1998 and 1999 would be high risk years for Stewart's disease in Iowa. This study provides the basis to more accurately assess the seasonal and site-specific risks associated with the occurrence of Stewart's disease several months prior to planting. This advance warning will help seed corn producers to make more informed disease management decisions, such as the choice of (low risk) planting sites (which will minimize or eliminate the use of insecticides).
机译:Stewart的玉米疾病,由细菌Pantoea Stewartii(Syn.Erwinia Stewartii)引起,是重要的,因为它在种子玉米田内的存在可以防止由于检疫(植物检疫)限制而导出种子玉米。 1972年至1998年(500多至超过1300个领域/年)的植物检疫报告,以及每次检查年度的12月的平均月度温度,通过ArcView地理信息系统(GIS)软件是由县的地理位置上引用的。在12月,1月和2月期间的温暖冬季温度通常允许更多数量的昆虫载体(玉米果皮甲虫,Chaetocnema Puricaria)生存,从而由于较高水平的初始接种水平(侵染甲虫),增加了斯图尔特氏病流行病的风险在随后的成长季节出现。基于天气的模型,以准确预测美国玉米皮带中斯图尔特病的风险,然而,尚未开发出来。使用GIS软件,创建风险地图以以图形方式描绘斯图尔特氏病的季节性,区域和县风险。使用这种方法,我们发现,3个冬季的至少2个具有平均月度温度<24°F(-4.4℃)的县与斯图尔特病的低风险(<2%普遍存在),而平均月度温度> = 24°F至少2或3个冬季,分别具有中度至高风险。使用DEC,1月和2月(爱荷华州法律方法)的单个月平均气温,我们准确预测1998年和1999年为爱荷华州斯图尔特病的高风险年。本研究提供了更准确地评估与种植前几个月发生的季节性和现场特异性风险的基础。这次预警将有助于种子玉米生产者制定更明智的疾病管理决策,例如(低风险)种植点(其最小化或消除杀虫剂的使用)。

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