OPTIMIZATION OF FEATURE EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGERY FOR URBAN ENVIRONMENTElmira Navrusbekovna Dyusibaeva, Gulzat Tuesheyevna Esenbekova, Irina Alexandrovna Zhirnova, Aiman Bokenovna Rysbekova, Carina Khamidovna Makhmudova, Abilbashar Ilyasovich Seitkhozhaev and Aiym Erbolkyzy Zhakenova
In this research are presented the main results of evaluation the genetic variability of the millet collection of various ecology-geographical origin (Afghanistan, Belgium, Hungary, China, Canada, India, Iran, Mexico, Pakistan, Russia, USA, Turkey, Ukraine, France). For determination of genetic variability of the collection during the implementation of our research 9 SSR and 8 iPBS markers were tested. Among the analyzed markers 9 SSR-markers (SieSSR18; SieSSR23; SieSSR24; SieSSR31; SieSSR33; SieSSR40; SieSSR65; SieSSR84; SieSSR91; SieSSR101a and SieSSR164) were not informative in comparison with iPBS markers, as they did not demonstrate the polymorphism for the experimental genotypes of millet. Six iPBS-markers (2270; 2271; 2276; 2095; 2374 and 2378) have yielded the reproduced result with all the studied millet samples. Results of assessment of genetic polymorphism of the millet collection with use of iPBS-markers (2095; 2270; 2271; 2272; 2276; 2277; 2374 and 2378) demonstrated various level of polymorphism: from three to seven alleles for one microsatellite locus. 2095 and 2378 markers with maximum polymorphism, they stood out, their percents were 85.7 and 100% respectively.
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