TY  - JOUR
A1  - Turaliyeva, M.
A1  - Yeshibaev, A.
A1  - Digel, Ilya
A1  - Elibayeva, G.
A1  - Sydykova, A.
A1  - Uspabayeva, A.
A1  - Dosybayeva, G.
A1  - Zhylysbayeva, A.
A1  - Lakhanova, K.
T1  - Molecular-genetic identification of emerged novel invasive pathogens of Asiatic Elm Ulmus pumila L
JF  - Life science journal
N2  - The dwarf elm Ulmus pumila L. (Ulmaceae) is one of indigenous species of flora in Kazakhstan and forms a basis of dendroflora in virtually all settlements of the region. In the past decade, multiple outbreaks of previously unknown diseases of the small-leaved elm have been registered. In our study, by the molecular-genetic analysis it was found that the pathogens responsible for the outbreaks are microfungi belonging to the genus Fusarium – F. solani and F. oxysporum. The nucleotide sequences (ITS regions) isolated from the diseased trees showed very high similarity with the GenBank control numbers EU625403.1 and FJ478128.1 (100.0 and 99.0 % respectively). Oncoming research will focus on the search of natural microbial antagonists of the discovered phytopathogens.
Y1  - 2014
U6  - http://dx.doi.org/10.7537/marslsj1105s14.33
SN  - 1097-8135
VL  - 11
IS  - Spec. iss. 5s
SP  - 171
EP  - 175
PB  - Marsland Press
CY  - New York
ER  - 
TY  - JOUR
A1  - Arinkin, Vladimir
A1  - Digel, Ilya
A1  - Porst, Dariusz
A1  - Temiz Artmann, Aysegül
A1  - Artmann, Gerhard
T1  - Phenotyping date palm varieties via leaflet cross-sectional imaging and artificial neural network application
JF  - BMC bioinformatics
N2  - Background
True date palms (Phoenix dactylifera L.) are impressive trees and have served as an indispensable source of food for mankind in tropical and subtropical countries for centuries. The aim of this study is to differentiate date palm tree varieties by analysing leaflet cross sections with technical/optical methods and artificial neural networks (ANN).

Results
Fluorescence microscopy images of leaflet cross sections have been taken from a set of five date palm tree cultivars (Hewlat al Jouf, Khlas, Nabot Soltan, Shishi, Um Raheem). After features extraction from images, the obtained data have been fed in a multilayer perceptron ANN with backpropagation learning algorithm.

Conclusions
Overall, an accurate result in prediction and differentiation of date palm tree cultivars was achieved with average prediction in tenfold cross-validation is 89.1% and reached 100% in one of the best ANN.
Y1  - 2014
U6  - http://dx.doi.org/10.1186/1471-2105-15-55
SN  - 1471-2105
VL  - 15
IS  - 55
SP  - 1
EP  - 8
ER  -