1. Agricultural landscape affects sex-specific differences in the abundance of Drosophila suzukii in raspberry orchardsMaarten De Groot, Magda Rak Cizej, Andreja Kavčič, Špela Modic, Franček Poličnik, Nina Šramel, Primož Žigon, Jaka Razinger, 2022, izvirni znanstveni članek Povzetek: In recent decades, the spotted wing Drosophila (SWD) (Drosophila suzukii), an invasive pest, has caused a great deal of damage to fruit crops. There is therefore an urgent need to develop strategies to control the populations of this species. It has been found that the landscape context can buffer or increase the severity of pest outbreaks in agriculture, and it is important to understand how this process works in SWD for all crops. Given this background, we investigated the influence of forest on SWD populations in raspberry orchards and surrounding agricultural land. We selected 10 locations in the central part of Slovenia, five of which were closer than 200 m from the forest edge and five of which were more than 200 m from the forest edge. We collected SWD adults in three habitat types per location from the end of June until the end of October 2020. The results showed that forest harboured a larger SWD population than orchards and agricultural land. Over the season, the number of individuals increased exponentially over time, and the difference between forest and other habitat types increased. The distance from the forest had a negative effect on the abundance of SWD. There was a difference in abundance observed between males and females, with males being less abundant farther away from the forest than females. However, the distance from the forest only had a negative effect on the abundance of females in September. Based on the results, we propose potential measures for the control of SWD in raspberry orchards.
Ključne besede: agricultural ecosystem, integrated pest management, invasive species, raspberry, spotted wing drosophila
Objavljeno v DiRROS: 15.11.2021; Ogledov: 351; Prenosov: 306
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2. Confirmed and potential wild hosts of the Spotted wing drosophila (Drosophila suzukii) in SloveniaMaarten De Groot, Andreja Kavčič, Jaka Razinger, 2020, izvirni znanstveni članek Povzetek: The spotted wing drosophila (Drosophila suzukii (Matsumura)) is a highly invasive species and attacking different species of berry carrying hosts. Much research has already been done on the crop hosts over the world and in Slovenia, but for wild hosts less is known. On basis of literature and fieldwork we prepared a list of potential and actual known species of wild hosts for Slovenia. In 2019, berries of different species were collected and D. suzukii was either reared from these berries or berries were dissected. In total we found in the literature for Europe 99 species which were used as host for D. suzukii. For Slovenia we found 71 potential hosts and 14 hosts which were actually infested. in Slovenia there was a broad range of potential hosts from 41 genera. The genera with the most potential hosts were Prunus, Lonicera and Vaccinium. Among the potential hosts were also many species which were invasive alien or alien species. The list was discussed in the context of management implications and further research on D. suzukii in Slovenia.
Ključne besede: spotted wing drosophila, berries, potential hosts, wild hosts, forests, pest control, Slovenia
Objavljeno v DiRROS: 11.12.2020; Ogledov: 725; Prenosov: 344
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4. Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imagingNik Susič, Uroš Žibrat, Saša Širca, Polona Strajnar, Jaka Razinger, Matej Knapič, Andrej Vončina, Gregor Urek, Barbara Gerič Stare, izvirni znanstveni članek Povzetek: Crop plants are subjected to various biotic and abiotic stresses. Both root-knot nematodes (biotic stress) and water deficiency (abiotic stress) lead to similar drought symptoms in the plant canopy. In this work, hyperspectral imaging was used for early detection of nematode infestation and water deficiency (drought) stress in tomato plants. Hyperspectral data in the range from 400 to 2500 nm of plants subjected to different watering regimes and nematode infestation levels were analysed by partial least squares – discriminant analysis (PLS-DA) and partial least squares – support vector machine (PLS-SVM) classification. PLS-SVM classification achieved up to 100% accuracy differentiating between well-watered and water-deficient plants, and between 90 and 100% when identifying nematode-infested plants. Grouping the data according to the time of imaging increased the accuracy of classification. Shortwave infrared spectral regions associated with the OH and CH stretches were most relevant for the identification of nematode infested plants and severity of infestation. This study demonstrates the capability of hyperspectral imaging to identify and discriminate between biotic and abiotic plant stresses.
Ključne besede: nematode, Hyperspectral imaging, Drought stress, Root-knot nematode, Tomato
Objavljeno v DiRROS: 20.07.2018; Ogledov: 3116; Prenosov: 1681
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