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Sirvi Autor "Ploomi, Angela" järgi

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  • Pisipilt
    Kirje
    Põllumajanduslik entomoloogia : Õpik kõrgkoolidele
    (Eesti Maaülikool, 2024) Metspalu, Luule; Kruus, Eha; Kaasik, Riina; Mürk, Anne; Nurme, Karin; Mänd, Marika; Veromann, Eve; Karise, Reet; Ploomi, Angela; Raimets, Risto; Merivee, Enno; Jõgar, Katrin; Eesti Maaülikool. Põllumajandus- ja keskkonnainstituut. Taimetervise õppetool
    Sissevaade põllumajandusputukate kirevasse maailma.
  • Pisipilt
    Kirje
    Putukkahjurite seire- ja prognoosimudelid aiakultuuridel ning nende rakendatavus Eestis
    (Eesti Maaülikool; Maaelu Teadmuskeskus, 2026) Põldma, Priit; Ploomi, Angela; Moor, Ulvi; Eesti Maaülikool. Põllumajandus- ja keskkonnainstituut. Aianduse õppetool; Eesti Maaülikool. Põllumajandus- ja keskkonnainstituut. Taimetervise õppetool
    Effective insect pest management is a key prerequisite for sustainable horticultural production, particularly under climate change conditions characterised by extended growing seasons, and increasing regulatory restrictions on plant protection products. In Northern Europe, including Estonia, milder winters and longer vegetation periods have facilitated improved overwintering, faster development, and northward expansion of several economically important insect pests. Consequently, timely and reliable pest monitoring and forecasting have become essential components of integrated pest management (IPM). Traditional field scouting and manual trap counts are labour-intensive and often too slow to enable proactive intervention. This article provides an overview of current monitoring and forecasting approaches for insect pests in horticultural crops, with a focus on smart monitoring technologies and weather-driven decision support systems (DSS). Recent advances in automated traps equipped with cameras, sensors, and wireless data transmission enable near real-time monitoring of pest populations, while machine learning algorithms supports species identification and abundance estimation. Emerging technologies based on wingbeat frequency analysis, remote sensing, and autonomous systems are also discussed. The review further summarises temperature-based forecasting models widely used in Northern and Baltic countries, highlighting examples from Finland, Sweden, Norway, Latvia, and Estonia. Particular emphasis is placed on degree-day models that predict pest phenology and flight activity, as well as on the importance of dense local weather station networks for improving model accuracy. Existing systems such as VIPS, RIMpro, IPM Decisions, and commercial platforms are evaluated in terms of their applicability under Estonian agroclimatic conditions. Overall, the integration of smart monitoring technologies with locally validated forecasting models offers significant potential to improve the timing and effectiveness of pest control measures in Estonian horticulture, reduce unnecessary pesticide applications, and support the wider adoption of IPM principles.
  • Pisipilt
    Kirje
    Rootsi kärbse (Oscinella frit L.) esinemine talinisu ja taliodra põldudel
    (Eesti Maaülikool; Maaelu Teadmuskeskus, 2026) Jõgar, Katrin; Annuk, Tiiu; Tennokese, Hanna-Maria; Ploomi, Angela; Eesti Maaülikool. Põllumajandus- ja keskkonnainstituut. Taimetervise õppetool
    In Estonia frit fly (Oscinella frit L.) is a common pest of cereals and grasses. The greatest damage is caused by larvae feeding at the plant growth point, while control options against them are limited. Although contact insecticides can be used against ovipositing adults, their effective use requires reliable monitoring methods, which are currently lacking in Estonia. The results of this experiment showed that throughout the study period, the highest number of frit fly larvae occurred in fields where winter wheat was grown as the test crop. Larval abundance of frit fly in winter wheat was nearly twice as high as in winter barley. This suggests that, among the crops studied, winter wheat provided the most favourable conditions for frit fly development. Although winter barley is attractive for oviposition and shoot damage was considerable, larval development in winter barley may be significantly slower, which likely reduces their survival rates. As this was a pilot study, no definitive conclusions can be drawn from the present results. Future studies should also investigate the occurrence and abundance of frit flies in other winter cereals, such as rye and winter triticale, as well as in grass species.
  • Pisipilt ei ole saadaval
    Kirje
    Sulfoxaflor modulates diet-dependent effects on bumble bee development but shows no detectable effects on adult physiology : [raw data]
    (Estonian University of Life Sciences, 2025) Jürison, Margret; Teras, Pilleriin; Pent, Kaarel; Väli, Vivika; Raimets, Risto; Naudi, Sigmar; Ploomi, Angela; Mänd, Marika; Karise, Reet
    The raw data is associated with the paper "Sulfoxaflor modulates diet-dependent effects on bumble bee development but shows no detectable effects on adult physiology" By Margret Jürison, Pilleriin Teras, Kaarel Pent, Vivika Väli, Risto Raimets, Sigmar Naudi, Angela Ploomi, Marika Mänd, Reet Karise 1. raw_data__mortality.csv This dataset contains the raw survival data used for the Kaplan-Meier survival analysis in the associated publication. Each row represents one individual bumble bee. The columns are described as follows: Treatment: The diet or exposure group Time: The survival time recorded for the individual (e.g., days). Status: Survival outcome, where 1 = dead and 0 = censored (alive at end of observation). 2. raw_data_respiratory_measurements.xlsx This file contains the CO2 measurements (in µmol/mol) recorded in the study. Each column corresponds to a single bumble bee, and each sheet represents a different treatment group. The columns are described as follows: time_s: time in seconds at which the LI-7000 (LiCor, Lincoln, NE) device logged CO2 release in bumble bees co2_...: CO2 measurements for each individual bee.
  • Pisipilt ei ole saadaval
    Kirje
    Sulfoxaflor modulates diet-dependent effects on bumble bee development but shows no detectable effects on adult respiration rate and patterns : [data]
    (Estonian University of Life Sciences, 2026) Jürison, Margret; Teras, Pilleriin; Pent, Kaarel; Väli, Vivika; Raimets, Risto; Naudi, Sigmar; Ploomi, Angela; Mänd, Marika; Karise, Reet
    Pollinators face multiple stressors, including pesticide exposure and poor nutrition, yet their combined effects on developing brood remain poorly understood. In this study, we experimentally reared bumble bee (Bombus terrestris) larvae on pollen diets differing in protein-to-lipid (P:L) ratios and exposed them to the insecticide sulfoxaflor via their food to test how these factors jointly affect survival, development, and adult traits. Larvae fed multifloral pollen exhibited higher survival and more consistent growth than monofloral (oilseed rape, faba bean) diets. Under the oliseed rape, sulfoxaflor reduced mortality and increased adult emergence despite poorer baseline performance in controls. In contrast, under the multifloral diet, sulfoxaflor prolonged development, reduced larval growth, and lowered adult body mass. Under faba bean, responses varied across traits, with prolonged development at lower exposure and reduced growth at higher exposure. Despite these developmental effects, sulfoxaflor did not significantly affect adult respiration rate, and respiration patterns showed no significant treatment effects, although diet-dependent trends were observed. These findings demonstrate that sulfoxaflor effects are strongly context-dependent and mediated by nutritional conditions. They indicate that sulfoxaflor shifts diet-dependent trade-offs between survival and development, improving survival on nutritionally limiting diets while imposing developmental delays and growth costs when nutrition is otherwise favourable.