Development and evaluation of a model for management of brown rot in organic apple orchards |
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Authors: | Imre J Holb Barbara Balla Ferenc Abonyi Mónika Fazekas Péter Lakatos József M Gáll |
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Institution: | (1) Centre of Agricultural Sciences, University of Debrecen, P.O. Box 36, H-4015 Debrecen, Hungary;(2) Plant Protection Institute, Hungarian Academy of Sciences, P. O. Box 102, H-1525 Budapest, Hungary;(3) Centre of Agricultural Sciences and Engineering, University of Debrecen, P.O. Box 36, H-4015 Debrecen, Hungary;(4) Department of Economic Analysis and Information Technology, Faculty of Economics, University of Debrecen, 26 Kassai road, H-4028 Debrecen, Hungary |
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Abstract: | 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. |
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Keywords: | |
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