Browsing by Author "Tretiacova, Tatiana"

Now showing 1 - 6 of 6

BIOLOGICAL EFFICACY OF THE NEEM OIL FOR THE CONTROL OF APHIS GOSSYPII
(CEP USM, 2022-09-29) Gusan, Ana; Tretiacova, Tatiana; Popa, Alexei; Gladcaia, Alla
Eficacitatea sulfului SC în combaterea făinării la vița de vie în agricultura ecologică
(CEP USM, 2024) Popa, Alexei; Todiraș, Vladimir; Tretiacova, Tatiana; Gușan, Ana
The purpose of the research was to determine the biological effectiveness of the product based on liquid sulfur as a fungicide in the prevention and control of powdery mildew (Uncinula necator) in grapevines. The product based on liquid sulphur, which meets the requirements for organic farming, with doses between 3.0-4.0 l/ha, in the climatic conditions of 2024, has been shown to be 92% effective at the level of the chemical standard Kumulus DF in the prevention and control of powdery mildew (U. necator) in grapevines. The data obtained are preventive and research will continue.
EVALUATION OF SOPHORA FLAVESCENS EXTRACT FOR COMBAT THE RED MITE (TETRANYCHUS URTICAE) TO THE TOMATO CROP IN GREENHOUSE
(CEP USM, 2022-09-29) Savranschii, Denis; Gușan, Ana; Tretiacova, Tatiana; Popa, Alexei; Todiraş, Vladimir
OPTIMIZAREA TERMENELOR DE EFECTUARE A TRATAMENTELOR ÎN COMBATEREA VIERMELUI MERELOR
(CEP USM, 2023) Tretiacova, Tatiana; Gușan, Ana; Todiraș, Vladimir
Applying the concept of degree-days to estimate the timing of pest emergence adequately describes the development cycle of the apple worm. Codling moth Cydia pomonella, as has been considered have two generation in Moldova, with only rare isolated cases of an incomplete third generation. In the light of recent advancements on the topic of climate change, a possible shift towards more than two generations per year has to be considered. Change of generation number would also require a shift in recommendations for codling moth management. Different generation number patterns were observed ranging from typical two generation development in 2021 to a pattern strongly suggesting three generation codling moth development in 2019.
UTILIZAREA SISTEMUL DE CLASIFICARE BIOCLASS PENTRU EVALUAREA RISCULUI FITOSANITAR
(CEP USM, 2023) Todiraș, Vladimir; Tretiacova, Tatiana; Gușan, Ana; Popa, A.
This study aims to evaluate opportunities to use the online classification system BioClass for phytosanitary risk assessment. BioClass is a GIS tool designed to solve multiple-criteria classification and optimization problems. The aim of BioClass is to introduce advances in Multi-objective Decision Making for real world problems. In BioClass we joined the advantages of rough sets, crisp level sets and fuzzy sets methods to improve classification processes. Information from pest models can be used to simulate and predict the intensity and potential pest threat. Interactions among microclimate components on sawfly (Haplocampa testudinea), codling moth (Cydia pomonella L.) and scab (Venturia inaequalis) using GIS technologies was studied. For modeling, maps of the sum of active and effective temperatures were constructed by the Kriging interpolation method. The precision of beginning of the continuous flight of apple coddling moth and the calendar date for the first and second treatment in the orchards with a high and medium density of the pest were calculated. The accuracy of the forecast model for different sectors was 1–3 days. The BioClass system was used to identify pest economic damage thresholds in space for the identification of outbreaks and application of protective measures with the help of small flying devices of the drone type. The results confirmed that the BioClass classification system can be used for the online agro-ecological classification of the territory at household, region, country level and to provide farmers' consultation centers and forecasting stations with precise information for phytosanitary risk assessment.
Utilizarea sistemului de clasificare Bioclass pentru prognoza fenologică
(CEP USM, 2024) Todiraș, Vladimir; Tretiacova, Tatiana
This study aims to evaluate opportunities to use the online classification system BioClass for elaboration of phenological prognoses. Information from pest models can be used to simulate and predict the intensity and potential pest threat. Interactions among microclimate components on codling moth (Cydia pomonella L.) using GIS technologies was studied. The precision of beginning of the continuous flight of apple coddling moth and the calendar date for the first and second treatment in the orchards with a high and medium density of the pest were calculated. BioClass is a GIS tool designed to solve multiple-criteria classification and optimization problems. For decisions support, an online version of the Phenological Forecast and Solutions module was developed and is located on http://www.ecobionet.com/GISModele.aspx. Opportunities to use the BioClass program for agricultural heritage assessment were analyzed. The results confirmed that the BioClass classification system can be used for the online phenological modellings at household, region, country level and to provide farmers' consultation centers and forecasting stations with precise information for phytosanitary risk assessment.