Analysis of Downy Mildew Infection of Field Pea Varieties Using the Logistic Model

Abstract

Analysis of Downy Mildew Infection of Field Pea Varieties Using the Logistic ModelThe logistic model is commonly used for analysis of discrete, multinomial data. Such a model was used for the statistical evaluation of data concerning infection of field pea varieties by downy mildew, in two series of field trials. Each series consisted of experiments performed in locations spread over the whole of Poland in the time period from 2002 to 2005. Varieties cultivated on light soils were compared in the first series, and varieties cultivated on rich soils in the second. The most resistant varieties were identified (Sokolik - light soils, Terno - rich soils) and significant differences among varieties were detected. Estimators of model parameters were found using the Fisher scoring method implemented inlogistic glmprocedure of the SAS system.

An evaluation of the efficiency of plant protection products via nonlinear statistical methods – a simulation study

“…One advantage here is the avoidance of frequency transformation to normal distribution. Similar modeling (a threshold model) has previously been used to analyze the efficiency of herbicides based on real data (Skotarczak et al, 2002), to research the lodging of cereals (Bakinowska and Kala, 2007), and to analyze downy mildew infection of field pea varieties (Bakinowska et al, 2012). The results obtained following the Bliss transformation of data, when compared with those obtained from the threshold model analysis, showed consistency and produced the same ranking of herbicides (Skotarczak et al, 2002).…”

Environmental impact on downy mildew infection for different pea varieties

“…The problem of the resistance of seed pea lines to downy mildew was studied by Bakinowska et al (2012). The authors considered two separable groups of varieties cultivated on rich and light soils.…”

“…A true view of how environmental effects can influence the infection of peas by downy mildew can be obtained taking into account the influence of location (site), the effect of year, and the effect of variety, simultaneously. The main purpose of the present study is to extend the previous research and to provide an extended analysis of this type of experiment (with the use of the same set of data as in Bakinowska 2012Bakinowska , 2016.…”

Impact of cereal diseases on the qualitative traits of spring barley breeding lines

“…Mila et al (2004) applied a fixed logistic model to develop explanatory models of Sclerotinia stem rot prevalence (for soybean) in four states of the northern-central part of the United States. A fixed logistic model was applied by Bakinowska et al (2012) in statistical analysis of downy mildew infection data in field pea varieties. A more general mixed logistic model was applied by Bakinowska et al (2016), also for downy mildew data in pea.…”

“…In a paper by Bakinowska and Kala(2007)a fixed logistic model was applied in the analysis of lodging in pea varieties. The same model was used in a paper byBakinowska et al (2012) in analysis of downy mildew infection in field pea trials. Two types of logistic model (fixed and mixed) were applied byBakinowska et al (2016) for analysis of downy mildew data on field pea.Analysis of the extensive trial data leads us to conclude that: In the case of two traits, lodging and yield, sometimes opposing tendencies were observed in two years of researchone year some genotypes exceeded the standard variety in respect of the tested traits, while in the other year they were worse. Infection by powdery mildew in general caused reduction in yield. No impact of diseases on plant height was observed.…”