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Overview of the decision support system and fruit growth stages to predict the action threshold in order to control the apple scab in Kosovo

Rexhepi, Edmond and Paçe, Harallamb and Vrapi, Hekuran and Hasani, Arbenita (2018) Overview of the decision support system and fruit growth stages to predict the action threshold in order to control the apple scab in Kosovo. AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS, 9 (3). pp. 45-54. ISSN 2061-862X

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Abstract

The apple scab caused by the fungal pathogen Venturia inaequalis(Cooke) G. Winteris a continuous problem for apple farmers in Kosovo. From this disease, the fruits become scabby brown or black spotty, losing their value. The fruit infection from A. scab requires immediate and multi time treatment. In the agricultural market, there are several plant protection productsintegratedin to varioustreatment variantsprovided by chemical manufacturersto control the apple scab infections. The purposeof this study was to identify the bestaction threshold based onthe prediction of the infection riskprovided by one decision support system(DSS RIMpro) and based on the empirical point of view by selecting few fruit growth stages from BBCH scale to control thisdisease in the research zone. Therefore, two different treatment intervalswere used and eight treatment variantsconsisting of several fungicides were created. The research is carried outin one experimental orchard in cultivation with Starking apple cultivar. Based on analysed disease index on infected fruits, the treatment intervalswere compared with each other to conclude the best action thresholdfor Kosovo conditions.

Item Type: Article
Uncontrolled Keywords: DSS, infection, index, scab, treatment
Subjects: S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában
S Agriculture / mezőgazdaság > SB Plant culture / növénytermesztés
S Agriculture / mezőgazdaság > SB Plant culture / növénytermesztés > SB975 Plant protection / növényvédelem
Depositing User: Melinda Danyi
Date Deposited: 07 Jun 2024 11:02
Last Modified: 07 Jun 2024 11:02
URI: https://real.mtak.hu/id/eprint/196837

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