Literature DB >> 30769539

Variation in Disease Incidence of Phomopsis Cane and Leaf Spot of Grape in Commercial Vineyards in Ohio.

M Nita1, M A Ellis2, L V Madden2.   

Abstract

A statewide survey for incidence of Phomopsis cane and leaf spot of grape (caused by Phomopsis viticola) was conducted during the 2002 to 2004 growing seasons. Over the 3 years, disease was observed in all surveyed vineyards, and mean disease incidence for leaves and internodes was 42 and 50%, respectively. A hierarchical linear mixed model was used to evaluate effects of region, farm within region, vineyard within farm, sampling site (i.e., vine) within vineyard, and shoot (i.e., cane) within vine on disease incidence. Region of the state did not have a significant effect on incidence but there was significant variation at all other levels of the hierarchy (P < 0.05); the greatest variation was at the lowest scale (shoots within vines). The potential effects of weather and management practices on disease risk at the vineyard scale were determined by using nonparametric correlation and binary logistic analyses after first classifying mean incidence per vineyard as being below or above 20% (D20 = 0,1) and 40% (D40 = 0,1). Overall results indicated that variables for predicted number of moderate infection events (DM; based on ambient temperature and hours when either there was measured rainfall or relative humidity above 90%), the extent of fungicide application (C) during early- and mid-May (M1 and M2, respectively), and the use of a dormant-period application of fungicide (DOR) were the key factors in predicting disease risk (for either D20 or D40). Accuracy (percentage of high and low disease vineyards correctly predicted) and area under the receiver operating characteristic curve (an overall measure of the accuracy of a model) for a generic model combining these predictor variables were 74 and 0.84, respectively, for D40 and 87 and 0.97, respectively, for D20. Models based on management practices were as accurate as those that incorporated weather variables. Although the degree of control of this disease is inadequate in Ohio, based on the survey results for incidence, the results from the risk-model analysis showed that improved management might be obtained by applying fungicide early during the growing season.

Entities:  

Keywords:  Kendall correlation; ROC; sensitivity; specificity

Year:  2008        PMID: 30769539     DOI: 10.1094/PDIS-92-7-1053

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  3 in total

1.  Rotten Hazelnuts Prediction via Simulation Modeling-A Case Study on the Turkish Hazelnut Sector.

Authors:  Taynara Valeriano; Kim Fischer; Fabrizio Ginaldi; Laura Giustarini; Giuseppe Castello; Simone Bregaglio
Journal:  Front Plant Sci       Date:  2022-04-04       Impact factor: 5.753

2.  Development and Validation of a Mechanistic Model That Predicts Infection by Diaporthe ampelina, the Causal Agent of Phomopsis Cane and Leaf Spot of Grapevines.

Authors:  Elisa Gonzalez-Dominguez; Tito Caffi; Aurora Paolini; Laura Mugnai; Nedeljko Latinović; Jelena Latinović; Luca Languasco; Vittorio Rossi
Journal:  Front Plant Sci       Date:  2022-04-07       Impact factor: 5.753

Review 3.  The road to molecular identification and detection of fungal grapevine trunk diseases.

Authors:  Filipe Azevedo-Nogueira; Cecília Rego; Helena Maria Rodrigues Gonçalves; Ana Margarida Fortes; David Gramaje; Paula Martins-Lopes
Journal:  Front Plant Sci       Date:  2022-08-26       Impact factor: 6.627

  3 in total

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