Sirvi Autor "Moor, Ulvi" järgi
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Kirje Acid composition of wines depending on grapevine (Vitis spp.) cultivars grown in Estonia(Estonian University of Life Sciences, 2025) Rätsep, Reelika; Maante-Kuljus, Mariana; Karp, Kadri; Seeme, Kersti; Moor, Ulvi; Estonian University of Life Sciences. Institute of Agricultural and Environmental Sciences. Chair of Horticulture; Estonian University of Life Sciences. Institute of Veterinary Medicine and Animal Sciences. Chair of Food Science and TechnologyIn Estonia’s very cool climate, excessive acid content in grapes can be a challenge due to delayed ripening. This study aimed to compare the acid profiles of commercial single-cultivar wines produced by Estonian winemakers, and assess the influence of grapevine cultivar. The wines were made from grapes of five different cultivars: ‘Solaris’, ‘Regent’, ‘Leon Millot’, ‘Cabernet Cortis’, and ‘Marquette’. The results revealed significant variation in malic, tartaric, citric, and lactic acid concentrations among the wines. Marquette exhibited the lowest malic acid content (0.3 g L⁻¹), while Leon Millot had the highest (4.4 g L⁻¹). Tartaric acid levels in wines ranged from 2.2 g L⁻¹ in Leon Millot to 4.1 g L⁻¹ in Regent. Citric acid levels varied considerably, with Solaris containing the highest concentration (1.44 g L⁻¹). Marquette had the highest lactic acid content (2.27 g L⁻¹), contributing to its smooth character. Total acid content in wines ranged from 6.9 g L⁻¹ in Marquette to 9.4 g L⁻¹ in Leon Millot, while pH values varied between 2.9 and 3.3. These findings indicate that grape cultivar significantly influences wine acid composition. Contrary to the hypothesis, excessive acid content was not a major issue in commercial wines; however, grape-growing conditions, such as high plastic tunnels, could alter this outcome. This study provides valuable insights for winemakers seeking to optimize acid balance and enhance wine quality in cool-climate viticulture.Kirje Mahepõllumajanduslik köögiviljakasvatus(Põllumajandusministeerium, 2012) Põldma, Priit; Moor, UlviVäikestel ja vähe põllutöömasinaid kasutavatel maheköögiviljakasvatajatel on sageli probleemiks põldude suur umbrohtumus, suur töömaht ja ebarahuldavad majandustulemused. Köögivilja kasvupinnad on maheviljelejatel üldiselt väiksemad kui tavaviljelejatel. Kui tavatootmises on pinda enamasti 5–10 hektarit, siis mahetootmises sageli vaid üks hektar ja vähemgi. Sellised väiketootjad vajavad universaalseid masinaid, millega saaks harida eri kultuure. Põllutöömasinaid pakkuvatest firmadest leiab üsna suure valiku seadmeid mingile konkreetsele kultuurile spetsialiseerunud suurtootjate tarbeks, kuid väiketootjatele sobivate seadmete valik on pea olematu. Et väiksemate köögiviljakasvatajate kasumlikkus ja jätkusuutlikkus suureneksid, on parem tehniline varustatus vältimatu, see muudab töö lihtsamaks ja kiiremaks. Hea tehnika olemasolu aitab kaasa vajalike tööde õigeaegsele tegemisele, näiteks umbrohtu tõrjutakse siis, kui see on veel väike ega häiri kultuurtaime kasvu. Väljaandes kirjeldatakse mõningaid tööjõukulu säästvaid ning universaalseid seadmed, mille kasutamiseks piisab väikesest traktorist või pole traktorit üldse vajagi. Antakse ülevaade maa ettevalmistamise, külvi, istutustööde, umbrohutõrje ja taimekaitse tegemiseks sobivatest seadmetest. Seadmeid saab enamasti tellida interneti kaudu, mõned neist on müügil ka Eestis. Antakse ülevaade ka köögiviljade säilitamisest.Kirje Mahepõllumajandussaadustele lisandväärtuse andmine, kvaliteet ja turustamine(Põllumajandusministeerium, 2007) Liivaauk, Pille; Mikk, Merit; Moor, Ulvi; Põldma, Priit; Vetemaa, AiriMahepõllumajandus on Eestis viimase kümnekonna aasta jooksul jõudsalt laienenud. Mitmekordistunud on nii tootjate arv kui ka mahepõllumajandusmaa pindala. Mõnevõrra tagasihoidlikum on aga olnud mahetöötlemise ja -turustamise areng. Kuigi turule tuleb igal aastal uusi mahetooteid ja uusi müügikohti, pole mahetoit ikka veel hõlpsasti kättesaadav. Praegu võib üsna kindlalt väita, et pakkumine jääb nii koguses kui ka sortimendis nõudlusele alla. Kõige rohkem võib turult leida töötlemata mahetoodangut – marju, puu- ja köögivilja ning kartulit. Väga tähtis on, et nende kvaliteet ei jääks milleski tavatoodangule alla. Ainult nii on tarbijad nõus mahetoodangu eest hinnalisa maksma. Käesolevas bukletis on kirjeldatud marjade, puu- ja köögivilja ning kartuli peamiseid kvaliteedinõudeid, mis kehtivad nii tava- kui ka mahetoodangule. Osa nendest on kohustuslikud ELi standardid, osa aga soovituslikud siseriiklikud standardid. Maheturul, kus tootevalik on veel väike, on iga töödeldud mahetoode teretulnud. Siin on tootjatel head võimalused oma toodangule lisandväärtust anda ja seda talus kohapeal töödelda. ELi uus hügieenipakett võimaldab töötlemist alustada üsna lihtsates tingimustes, ka oma koduköögis. Kui toode on kvaliteetne ja maitsev, ei tohiks ka selle turustamine raskusi tekitada. On üsna oluline, et mahetootjad ise oleksid aktiivsemad ja mahetoidu turu arengule kaasa aitaksid. Selle asemel, et käega lüüa ja mahetoodang lihtsalt tavatöötlemisse maha müüa, tasuks teha tööd turustuskanalite leidmiseks, samuti tuleks otsida võimalusi koostööks teiste mahetootjatega, sest ühiselt on nii mõnedki probleemid lihtsamini lahendatavad kui üksinda. Trükises kirjeldatakse ka mahetoodete turuletoomist ja võimalikke turustuskanaleid. Nende hulgast tuleks valida endale sobivamad ja selles suunas tegutsema asuda.Kirje Physiological disorders affect apple susceptibility to Penicillium expansum infection and increase probability for mycotoxin patulin occurrence in apple juice(2019) Heinmaa, Lagle; Põldma, Priit; Loit, Kaire; Kiiker, Riinu; Moor, Ulvi; Estonian University of Life Sciences. Institute of Agricultural and Environmental Sciences. Chair of Horticulture; Estonian University of Life Sciences. Institute of Agricultural and Environmental Sciences. Chair of Plant HealthPenicillium expansum infection of apples and mycotoxin patulin (PAT) production has previously been associated with many pre- and postharvest factors other than physiological disorders. In the current study, ‘Antei’ and ‘Krameri tuviõun’ apples with and without bitter pit (BP) symptoms and ‘Talvenauding’ apples with and without superficial scald (SS) symptoms were used in order to determine if the named physiological disorders may influence susceptibility to P. expansum infection and PAT production. Apples were inoculated with 10 μL P. expansum spore suspension with the concentration of 1×105 conidia mL-1 and stored at 24 °C with relative humidity (RH) 80%. After 7 and 11 days, lesion diameters were measured, and apples were pressed into juice. PAT content was determined in pasteurized juice. Two cultivars out of three showed that in fruit with physiological disorders, Penicilllium infection and PAT production proceeded significantly faster compared to apples, which did not have physiological disorders. SS increased the risk for PAT occurrence in juice more than BP: while the juice pressed from BP–affected apples with no visual signs of fungal diseases did not contain PAT, juice pressed from apples with SS contained PAT three times above legislative limits defined by the World Health Organization (50 μg L-1).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 õppetoolEffective 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.Kirje Puuvilja- ja marjakultuuride haiguste prognoosimudelid ja nende rakendatavus Eestis(Eesti Maaülikool; Maaelu Teadmuskeskus, 2026) Moor, Ulvi; Põldma, Priit; Eesti Maaülikool. Põllumajandus- ja keskkonnainstituut. Aianduse õppetoolIn the context of climate change, Estonia and other Baltic countries are experiencing a trend towards a longer growing season and an increasing frequency of extreme weather events. Rising temperatures and higher precipitation create more favourable conditions for the development and spread of fungal diseases. In the horticultural sector, the risk of plant disease introduction and spread is further amplified by the growing import of plant propagation material. Consequently, there is a increasing need to optimise plant disease management strategies. As the European Union aims to reduce the use of synthetic pesticides by 2030, it is essential to develope more effective and targeted approaches to disease control. One such approach is the optimisation of timing of plant protection measures, for which the disease forecasting models is particularly suitable. This article provides an overview of disease forecasting models for the most important fruit and berry crops under Estonian climatic conditions that have been tested in Estonia or neighbouring countries. Given that Estonian horticultural producers have increasingly purchased or rented Pessl Metos weather stations in recent years, particular attention is paid to the grey mould and anthracnose forecasting models for strawberry available within the Pessl Metos decision-support software. In addition, the RIMpro decision support system for the improved timing of apple scab control is reviewed.