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水分活度和温度对玉米上轮枝镰孢菌和层出镰孢菌径向生长的个体及联合效应的预测模型

Predictive modelling of the individual and combined effect of water activity and temperature on the radial growth of Fusarium verticilliodes and F. proliferatum on corn.

作者信息

Samapundo S, Devlieghere F, De Meulenaer B, Geeraerd A H, Van Impe J F, Debevere J M

机构信息

Ghent University, Faculty of Agricultural and Applied Biological Sciences, Department of Food Technology and Nutrition, Laboratory of Food Microbiology and Food Preservation, Belgium.

出版信息

Int J Food Microbiol. 2005 Nov 15;105(1):35-52. doi: 10.1016/j.ijfoodmicro.2005.06.007. Epub 2005 Jul 25.

Abstract

The major objective of this study was to develop validated models to describe the effect of a(w) and temperature on the radial growth on corn of the two major fumonisin producing Fusaria, namely Fusarium verticilliodes and F. proliferatum. The growth of these two isolates on corn was therefore studied at water activities between 0.810-0.985 and temperatures between 15 and 30 degrees C. Minimum a(w) for growth was 0.869 and 0.854 for F. verticilliodes and F. proliferatum, respectively. No growth took place at a(w) values equal to 0.831 and 0.838 for F. verticilliodes and F. proliferatum, respectively. The colony growth rates, g (mm d(-1)) were determined by fitting a flexible growth model describing the change in colony diameter (mm) with respect to time (days). Secondary models, relating the colony growth rate with a(w) or a(w) and temperature were developed. A third order polynomial equation and the linear Arrhenius-Davey model were used to describe the combined effect of temperature and a(w) on g. The combined modelling approaches, predicting g (mm d(-1)) at any a(w) and/or temperature were validated on independently collected data. All models proved to be good predictors of the growth rates of both isolates on maize within the experimental conditions. The third order polynomial equation had bias factors of 1.042 and 1.054 and accuracy factors of 1.128 and 1.380 for F. verticilliodes and F. proliferatum, respectively. The linear Arrhenius-Davey model had bias factors of 0.978 and 1.002 and accuracy factors of 1.098 and 1.122 for F. verticilliodes and F. proliferatum, respectively. The results confirm the general finding that a(w) has a greater influence on fungal growth than temperature. The developed models can be applied for the prevention of Fusarium growth on maize and the development of models that incorporate other factors important to mould growth on maize.

摘要

本研究的主要目的是开发经过验证的模型,以描述水分活度(a(w))和温度对两种主要产生伏马毒素的镰刀菌(即轮枝镰孢菌和层出镰孢菌)在玉米上径向生长的影响。因此,研究了这两种分离菌株在水分活度为0.810 - 0.985以及温度在15至30摄氏度之间时在玉米上的生长情况。轮枝镰孢菌和层出镰孢菌生长的最低水分活度分别为0.869和0.854。轮枝镰孢菌和层出镰孢菌在水分活度分别等于0.831和0.838时均未生长。通过拟合一个灵活的生长模型来确定菌落生长速率g(mm d⁻¹),该模型描述了菌落直径(mm)随时间(天)的变化。建立了将菌落生长速率与水分活度或水分活度和温度相关联的二级模型。使用三阶多项式方程和线性阿伦尼乌斯 - 戴维模型来描述温度和水分活度对g的综合影响。通过独立收集的数据对预测任何水分活度和/或温度下g(mm d⁻¹)的组合建模方法进行了验证。在实验条件下,所有模型都被证明是两种分离菌株在玉米上生长速率的良好预测模型。三阶多项式方程对轮枝镰孢菌和层出镰孢菌的偏差因子分别为1.042和1.054,准确因子分别为1.128和1.380。线性阿伦尼乌斯 - 戴维模型对轮枝镰孢菌和层出镰孢菌的偏差因子分别为0.978和1.002,准确因子分别为1.098和1.122。结果证实了一个普遍的发现,即水分活度对真菌生长的影响比温度更大。所开发的模型可用于预防镰刀菌在玉米上的生长,并用于开发包含其他对玉米上霉菌生长重要因素的模型。

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