小麦锈菌潜伏期数学模型的评价

Q4 Agricultural and Biological Sciences Progress in Plant Protection Pub Date : 2020-01-01 DOI:10.14199/PPP-2020-024
A. Wójtowicz, M. Wójtowicz, M. Pasternak
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引用次数: 0

摘要

这项研究的目的是比较计算机模拟的结果,使用两种数学模型来估计小麦叶锈病的肇事者小麦锈病的潜伏期。这两个模型都是基于2013-2015年的实验结果,使用指数函数建立的。模型1根据每日平均气温确定潜伏期长度,而模型2根据每小时记录的温度值确定潜伏期长度。通过将模拟结果与2016-2018年接种植株的实际发病日期进行比较,评估模型的可靠性。使用开发的模型进行计算机模拟的结果与疾病症状发作的实际日期相似。根据每小时间隔记录的温度值来确定潜伏期长度的模型获得了稍好的结果。
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Assessment of mathematical models for estimating the incubation period of Puccinia recondita f. sp. tritici
The aim of the study was to compare the results of computer simulations carried out using two mathematical models developed for estimating the length of the incubation period of Puccinia recondita f. sp. tritici, the perpetrator of the leaf rust in wheat. Both models were developed using the exponential function based on the results of experiments carried out in 2013–2015. Model 1 determines the length of the incubation period based on average daily air temperatures, while model 2 based on temperature values recorded in an hourly interval. The reliability of the models was assessed by comparing the simulation results with the actual dates of onset of disease symptoms on plants inoculated in the experiments carried out in 2016–2018. The results of computer simulations using the developed models were similar with the actual dates of onset of disease symptoms. Slightly better results were obtained for the model determining the length of the incubation period based on the value of temperature recorded in the hourly interval.
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来源期刊
Progress in Plant Protection
Progress in Plant Protection Environmental Science-Pollution
CiteScore
0.60
自引率
0.00%
发文量
10
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