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Bocharova V.,Tairov National Research Center for Viticulture and Winemaking | Mulukina N.,Tairov National Research Center for Viticulture and Winemaking | Kovaliova I.,Tairov National Research Center for Viticulture and Winemaking | Regner F.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | And 2 more authors.
Mitteilungen Klosterneuburg | Year: 2012

A molecular-genetic analysis of polymorphism in grapevine varieties, clones and new selections from the collection of the Tairov National Research Centre for Viticulture and Winemaking was conducted by using 9 microsatellite loci. The data were N-coded and analysed with the application of the MEGA 4 programme in order to build a dendrogram of the genetic relationships. The bootstrap test was used to examine iidelity of the phylogenetic trees. The molecular-genetic polymorphism was investigated using chloroplast DNA markers. Three different haplotypes were identified by cpSSR locus ccmp10. Source


Hermann G.,University of Vienna | Jaitz L.,University of Vienna | Koellensperger G.,University of Vienna | Eder R.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Hann S.,University of Vienna
Mitteilungen Klosterneuburg | Year: 2012

Our aim was to verify if quantities in a selected phenolic profile, consisting of 20 phenols, can be used for geographical allocation and varietal specific characterisation of 50 commercially available red wines, with special interest in wines from the region of Vienna. The first task was the development of a fast, reproducible and accurate method for the chromatographic separation of (poly)phenols. The second task was their quantification by means of liquid chromatography coupled to a mass spectrometer (LC-MS) and the third task was data analysis by means of discriminant statistical methods. The used separation method was reversed phase high performance liquid chromatography (RP-HPLC). After the examination of several column materials our choice was a material with a particle size of 1.8 μm. It was superior to other samples regarding the most important characteristics for HPLC separation (capacity factor, height of a theoretical plate and chromatographic resolution). The detection via MS was performed on a time-of-flight and a triple quadrupole mass spectrometer, both equipped with electro spray ionization (ESI) as ionization method. The final measurements were performed with the triple quadrupole mass spectrometer, because of its higher signal to noise ratio and larger linear and dynamic range. The results of the statistical examination confirmed that most wine samples could be grouped properly according to their geographical origin and variety. It was even possible to distinguish between different producers within the region of Vienna. Source


Gossinger M.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Eitner C.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Vogl K.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg
Mitteilungen Klosterneuburg | Year: 2012

The determination of the point of tails' separation (N-point) works only sufficiently by tasting. The fractionation of the distillate round the N-point is very extensive, mainly if the range, where the N-point appears, is not known. A prediction of the N-point by means of distillation parameters is therefore desirable. Aim of the study was to calculate the effect of mash alcohol content, dephlegmator temperature and distillation speed on the N-point, temperature of the lyne arm just in time of the N-point, the percentage of yield of head, heart and tail fractions and amplification with counter-current distillation of apple mash. For characterising the distillation process properly the average increase of the temperature of the lyne arm and the alcohol content of the distillation fractions were measured. Results show that the N-point (between 85 and 77 %vol.) is affected mainly by the alcohol content of the mash and the temperature of the dephlegmator. Less important is the role of the distillation speed. The higher the alcohol content of the mash and the temperature of the dephlegmator, the lower the percentage of yield of heads. Only the temperature of the dephlegmator had a significant effect on the percentage of yield of heart. Yield increased with intensed amplification. The results are the basis for the calculation of the N-point before or during the distillation. Source


Maier C.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Maier C.,Austrian Institute of Technology | Bachinger K.,NO Landes Landwirtschaftskammer | Mortel J.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | And 3 more authors.
Journal of Phytopathology | Year: 2013

During the last 15 years, European stone fruit yellows (ESFY) has become a major concern in Austrian fruit production. Therefore, presence and temporal dynamics of its vector Cacopsylla pruni were investigated using a beating tray method and yellow sticky traps on Prunus armeniaca, Prunus domestica, Prunus spinosa and P. cerasifera nigra. Infection rates of C. pruni and Prunus spp. trees were assessed by direct, nested and real-time PCR. Movement of remigrants in a model apricot orchard was tracked by aid of a mark, release and recapture study. Insects were marked by fluorescent dyes. Movement of the marked insects and presence of naturally occurring insects were monitored by yellow sticky traps. In 2011, remigration of C. pruni to Prunus spp. started in calendar week 10 (8th of March) and in 2012, in calendar week 12 (18th of March). Remigrants were observed until calendar week 20 (middle of May), significant numbers of the springtime generation adults were present until week 26 (end of June). The phytoplasma was ascertained in 0-11.5% of the remigrants and in 0-3.44% of the springtime generation insects. About 9.8-63.3% of the apricot samples, 20-40% of the plum samples and single blackthorn samples were infected. The mark, release and recapture study proved a fast and frequent tree-to-tree movement of remigrated C. pruni adults. Insects easily covered distances from row to row or even farther (ca. 13 m) within 24 h after release and were present in a large part of the model orchard after 8 days (up to 24 m from release point). © 2013 Blackwell Verlag GmbH. Source


Riedle-Bauer M.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Mortel J.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Bauer H.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg | Knobling A.,Lehr und Forschungszentrum fur Wein und Obstbau Klosterneuburg
Mitteilungen Klosterneuburg | Year: 2012

Several diagnostic procedures for detection of Agrobacterium vitis in grapevine material were compared. Infected and presumably latently infected vines were analyzed. Roots, tumour and shoot samples were collected all year round. DNA was either gained after an enrichment step on a semiselective medium or extracted directly from grapevine tissue. Standard and nested PCR protocols targeting chromosomal genes and Ti-plasmid borne genes were applied. Direct DNA preparation combined with nested PCR permitted the detection of the pathogen at a high rate in roots, shoots and tumours. The method, however, did not allow detection of bacteria in dormant canes. Th is was only possible by aid of an enrichment step on a selective medium followed by nested PCR. Analysis of infected vines by the latter protocol revealed the presence of the pathogen in 83 to 93 % of tumour samples, in 70 % of the shoot samples collected in autumn and in 80 % of the root samples taken in late spring. During summer low and erratic population densities were observed. In dormant canes the pathogen was identified at a rate of 16.7 to 50 %. An enrichment step followed by nested PCR was also used for examination of symptomless but presumably infected vines. The pathogen was identified ed in 33 to 40 % of the roots collected in spring or autumn and in 20 % of the roots collected in July. Analysis of shoots revealed considerable differences between years. In 2010 A. vitis was identified in 41 to 53 % of the samples, in 2011 only in 0 to 9.1 %. Source

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