Development and evaluation of a model for management of brown rot in organic apple orchards

• Published in: European journal of plant pathology Vol. 129; no. 3; pp. 469 - 483
• Main Authors: Holb, Imre J, Balla, Barbara, Abonyi, Ferenc, Fazekas, Mónika, Lakatos, Péter, Gáll, József M
• Format: Journal Article
• Language: English
• Published: Dordrecht Dordrecht : Springer Netherlands 01.03.2011; Springer Netherlands; Springer; Springer Nature B.V
• Subjects: Agricultural management; Agriculture; Apples; Biological and medical sciences; Biomedical and Life Sciences; Cultivars; Disease control; Disease management strategy; Disease variables; Ecology; Epidemics; epidemiology; Forecasting; Fruit rot; Fruits; Fundamental and applied biological sciences. Psychology; Fungal plant pathogens; Harvesting; Life Sciences; Malus; Monilinia fructigena; Orchards; Organic apple; Organic farming; Phytopathology. Animal pests. Plant and forest protection; Plant diseases; Plant Pathology; Plant Sciences; Spray omission; Sprays; Organic apple; Spray omission; Disease variables; Epidemiology; Forecasting; Fruit rot; Disease management strategy; Ascomycota; Plant pathology; Plant pathogen; Monilinia fructigena; Fungi; Plant; Fruit rout; Models
• DOI: 10.1007/s10658-010-9710-1
• ISSN: 0929-1873

Temporal development of brown rot (Monilinia fructigena) on fruits was analysed in two organic apple orchards on three apple cultivars in Eastern Hungary from 2002 to 2006. The three-parameter logistic function gave the best fit to brown rot over four non-linear growth functions in all cultivars, years and orchards. Depending on location, year and cultivar, disease increased continuously from 6 to 8 weeks before harvest up to harvest, reaching 19-37% of disease incidence. Disease variables of Y f , the final disease incidence; β, relative rate of disease progress; AUDPC S , standardized area under disease progress curve; T ₁.₅ , the time when disease incidence reaches 1.5% (day), and M, the inflection point were derived from the three-parameter logistic function. The disease variables of Y f , β, and AUDPC S were used in a computer simulation for predicting temporal brown rot development, and the disease variables of T ₁.₅ , M, and Y f were used to determine threshold values for epidemic intensity. Afterwards these were used to construct a fundamental model for developing a brown rot forecasting and management strategy (BRFMS). The fundamental model contained four parts: i) data insertion and analyses by computer simulation of pathogen submodels, ii) calculation of yield loss threshold levels based on disease incidence, iii) determination of epidemic intensity levels and iv) a decision module with suggestions for disease management practices for each epidemic intensity level. The fundamental model was supplemented with the prediction of occurrence of the first fruit rot symptoms and with the insect injury prediction related to brown rot development in order to complete a BRFMS for organic apple orchards. In a 3-year field evaluation from 2006 to 2008, season-long application of BRFMS treatments reduced the number of sprays against brown rot by 22-33% compared with the treatments of general spray schedules against brown rot.