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Record of a new location for tropical root knot nematode Meloidogyne luci in Slovenia
Gregor Urek, Nik Susič, Saša Širca, Polona Strajnar, Barbara Gerič Stare

Povzetek: The plant parasitic nematode Meloidogyne ethiopica Whitehead has been reported from several European countries, including Slovenia, where it was first found in 2003. However, the description in 2014 of a new sister species, Meloidogyne luci Carneiro et al., 2014, called for the reclassification of all European and Turkish populations of M. ethiopica reported up to this date as M. luci. Both species M. ethiopica and M. luci have a very wide host range of monocotyledons and dicotyledons. They are pests of important agricultural crops such as maize, potatoes and variety of vegetables, and represent a serious threat for agricultural production in greenhouses as well as in the open fields in many EPPO countries. This paper reports a new location of the tropical root knot nematode species M. luci found in Slovenia in 2015.
Ključne besede: parasitic nematode, root knot nematode, classification, populations
DiRROS - Objavljeno: 20.07.2018; Ogledov: 269; Prenosov: 56
.pdf Celotno besedilo (111,85 KB)

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Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging
Barbara Gerič Stare, Gregor Urek, Andrej Vončina, Matej Knapič, Jaka Razinger, Polona Strajnar, Saša Širca, Uroš Žibrat, Nik Susič

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
DiRROS - Objavljeno: 20.07.2018; Ogledov: 831; Prenosov: 165
.pdf Celotno besedilo (847,87 KB)

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Opisna sortna lista za krompir 2015
Peter Dolničar, 2015

Ključne besede: krompir, sorte, sortne liste, Slovenija
DiRROS - Objavljeno: 11.07.2017; Ogledov: 1311; Prenosov: 66
URL Celotno besedilo (0,00 KB)
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Vsebnost ostankov fitofarmacevtskih sredstev v kmetijskih pridelkih v obdobju 2001-2009
Helena Baša Česnik, Špela Velikonja Bolta, 2015

DiRROS - Objavljeno: 11.07.2017; Ogledov: 1158; Prenosov: 67
URL Celotno besedilo (0,00 KB)
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Mutagenesis in plant breeding for disease and pest resistance
Petra Kozjak, Vladimir Meglič, 2012

DiRROS - Objavljeno: 11.07.2017; Ogledov: 1383; Prenosov: 130
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