The influence of agricultural land on the level of airborne Alternaria spores

Ksenia Havrylenko
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 Materials and methods. The study was carried out at the Department of Medical Biology, Parasitology and Genetics of the ZSMPhU. Samples were collected using a 7-day volumetric sampler of the Hirst type, using the volumetric method. Samples were identified under a light microscope, and spore identification and counting were limited to genus levels. The relationship between seasonal Alternaria spore levels and harvest rates was analysed using Pearson's correlation method. The effect of meteorological conditions and agricultural activity on the daily concentration of Alternaria was analysed using stepwise correlation based on logarithmically transformed daily average spore counts. Classical leave-one-out cross-validation (LOOCV) was used to estimate the mean square error (MSE), associated with this model and Bayesian information criterion (BIC) was used to assess its accuracy.
 Results. Seasonal characteristics of Alternaria spores and agricultural activity in Zaporizhzhia and Dnipro regions were analysed. The connection of some seasonal and daily indicators with harvesting rates and meteorological conditions was determined. Two models with 5 and 9 parameters were found that best explain the dynamics of Alternaria spores.
 Conclusions. The most significant parameters positively correlated with Alternaria spore levels were temperature, pressure, westerly wind and wheat yield; relative humidity was negatively correlated","PeriodicalId":21636,"journal":{"name":"ScienceRise: Biological Science","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ScienceRise: Biological Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15587/2519-8025.2023.287424","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract

Aim of the research was to investigate the impact of agricultural activity on the concentration of Alternaria spores. Materials and methods. The study was carried out at the Department of Medical Biology, Parasitology and Genetics of the ZSMPhU. Samples were collected using a 7-day volumetric sampler of the Hirst type, using the volumetric method. Samples were identified under a light microscope, and spore identification and counting were limited to genus levels. The relationship between seasonal Alternaria spore levels and harvest rates was analysed using Pearson's correlation method. The effect of meteorological conditions and agricultural activity on the daily concentration of Alternaria was analysed using stepwise correlation based on logarithmically transformed daily average spore counts. Classical leave-one-out cross-validation (LOOCV) was used to estimate the mean square error (MSE), associated with this model and Bayesian information criterion (BIC) was used to assess its accuracy. Results. Seasonal characteristics of Alternaria spores and agricultural activity in Zaporizhzhia and Dnipro regions were analysed. The connection of some seasonal and daily indicators with harvesting rates and meteorological conditions was determined. Two models with 5 and 9 parameters were found that best explain the dynamics of Alternaria spores. Conclusions. The most significant parameters positively correlated with Alternaria spore levels were temperature, pressure, westerly wind and wheat yield; relative humidity was negatively correlated
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农用地对空气中互花孢孢子水平的影响
本研究的目的是探讨农业活动对交替孢孢子浓度的影响。材料和方法。这项研究是在医学院医学生物学、寄生虫学和遗传学系进行的。样品采集采用赫斯特型7天体积采样器,采用体积法。样品在光镜下鉴定,孢子鉴定和计数仅限于属水平。采用Pearson相关法分析了季节交替孢孢子水平与采收率的关系。利用对数变换的日平均孢子数逐步相关分析了气象条件和农业活动对稻瘟菌日浓度的影响。使用经典的留一交叉验证(LOOCV)估计均方误差(MSE),并与该模型相关联,使用贝叶斯信息准则(BIC)评估其准确性。 结果。分析了四川和第聂伯罗地区交替孢孢子的季节特征和农业活性。确定了一些季节和日指标与采收率和气象条件的关系。发现两个参数为5和9的模型最能解释交替孢孢子的动力学。 结论。温度、气压、西风和小麦产量与互花孢孢子水平正相关最显著;相对湿度呈负相关
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发文量
8
审稿时长
6 weeks
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