基于天气模型的小麦叶锈病预警及病害状况预测

Khadegah M. A. Fahim
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摘要

小麦叶锈病(WLR)是由小麦锈菌(Puccinia triticina, Pt)引起的一种流行病害。本研究关注埃及2014/16生长季节WLR病的流行病学。研究气候因子对WLR发生的影响;在Kafer El-Sheikh省和Beni-Suef省的田间条件下,对4种小麦基因型进行了WLR抗性筛选。研究期间4个月的日平均气温与锈病的发展和最终锈病严重程度%密切相关。气象数据表明,2014/2015年小麦产区1月和2月夜间大部分时间较为凉爽(最低气温<10℃)。这与2015/2016年Kafr El-Sheikh和Beni Suef的1月和2月形成了很大的对比,这两个月的夜晚相对温暖。在2015/2016年,而不是2014/2015年,WLR疾病的流行开始时间提前了10至16天。这取决于有利的天气条件,如早期温暖的季节。小麦作物病害侵染对流星雨的影响较大。基于天气的疾病早期防治模型可以为调查和预测疾病状况提供合适的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Warning of Wheat Leaf Rust Disease and Prediction Disease Status Based on the Modeling Weather
Wheat leaf rust (WLR), caused by Puccinia triticina (Pt) is an epidemic disease. The present study was concerned with the epidemiology of WLR disease in Egypt during the 2014/16 growing seasons, in Egypt. To study the effect of climatic factors on WLR incidence; four wheat genotypes were screened against WLR, under field conditions at Kafer El-Sheikh and Beni-Suef governorates. The average daily temperature during the four months of the study was closely related to the development and final rust severity %. The weather data indicated that most of January and February nights of 2014/2015 were relatively cool (min temperature <10°C) at wheat growing areas. There was a big contrast in this regard with January and February of 2015/2016 at Kafr El-Sheikh and Beni Suef, which had relatively warm nights. An epidemic of WLR disease started 10 to 16 days earlier during 2015/2016 rather than 2014/2015. It depends on the favorability of weather conditions such as early warm seasons. Disease infection in wheat crop highly influenced meteorometeorids’ highly influenced logicall factors. The weather-based modeling for early warring disease infestation may provide appropriate tool for investigating and predicting disease status.
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