Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

/ N. V. Oreshkova [et al.] // Russ. J. Genet. - 2019. - Vol. 55, Is. 4. - P444-450, DOI 10.1134/S1022795419040094. - Cited References:22. - The study was done as a part of the project "Genomics of the Key Boreal Forest Conifer Species and Their Major Phytopathogens in the Russian Federation" funded by the Government of the Russian Federation (grant no. 14.Y26.31.0004). . - ISSN 1022-7954. - ISSN 1608-3369РУБ Genetics & Heredity

Аннотация: Siberian larch (Larix sibirica Ledeb.) is one of the major boreal tree species in Eurasia and has a considerable economic and ecological value. Despite that importance, the development and use of microsatellite markers in this species remain limited. Microsatellite markers are considered to be a valuable tool for estimation of population diversity and structure. Availability of a draft reference assembly of the Siberian larch genome allowed us to identify 1015 microsatellite loci or simple sequence repeats (SSRs) with tri-, tetra-, penta-, and hexanucleotide motifs. For 60 of them PCR primers were designed and tested for amplification in L. sibirica and for their within-genus transferability to L. gmelinii (Rupr.) Rupr. and L. cajanderi Mayr. Here, we present a set of 14 reliable and polymorphic new nuclear SSR markers that can be used for further population genetic studies, breeding programs, and timber origin identification.

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Держатели документа:
Siberian Fed Univ, Genome Res & Educ Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk 660036, Russia.
Georg August Univ Gottingen, D-37077 Gottingen, Germany.
Russian Acad Sci, Vavilov Inst Gen Genet, Moscow 119991, Russia.
Texas A&M Univ, College Stn, TX 77843 USA.

Доп.точки доступа:
Oreshkova, N. V.; Bondar, E. I.; Putintseva, Yu. A.; Sharov, V. V.; Kuzmin, D. A.; Krutovsky, K. V.; Krutovsky, Konstantin; Government of the Russian Federation [14.Y26.31.0004]

/ E. I. Ponomarev, K. Y. Litvintsev, E. G. Shvetsov [et al.] // Izv. Atmos. Ocean. Phys. - 2019. - Vol. 55, Is. 8. - P884-892, DOI 10.1134/S0001433819080073. - Cited References:21. - This work was performed as part of state contract nos. 0356-2019-0009 (0356-2017-0739) and 0356-20180052 and was supported by the Russian Foundation for Basic Research, Government of Krasnoyarsk krai, and Krasnoyarsk Regional Science Foundation (project nos. 17-41-240475 "Development of the mathematical model for the quantitative estimation of carbon emission during fires in Siberian forests based on remote instrument measurements" and 18-41-242003 "Modeling and satellite monitoring of effects from thermal anomalies of the underlying surface in the seasonally thawed soil layer of the permafrost zone of Siberia"). . - ISSN 0001-4338. - ISSN 1555-628XРУБ Meteorology & Atmospheric Sciences + Oceanography

Аннотация: In this work, an improved approach of the pixel-based analysis of the Terra/MODIS imagery is proposed. The approach allows us to improve the accuracy in estimating characteristics of the combustion zone when detecting thermal anomalies. The investigation is carried out based on the imagery of active vegetation fires in Siberian forests by the MODIS radiometer in the spectral ranges of 3930 to 3990 and 10780 to 11280 mu m (bands 21 and 31, respectively). It is proposed to describe the approximation of the temperature profile of the fire front using an exponential function. Using the nonuniform approximation of the temperature distribution on the surface in the vicinity of the active combustion zone allows us to determine the portion of the active pixel of the Terra/MODIS image with the given temperature excess over the background temperature in it. This improves the accuracy in extracting active combustion zones and classifying the heat release rate at the subpixel level. This approach is applicable to monitoring fire development phases in the near real time mode.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Krasnoyarsk Sci Ctr, Fed Res Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk 630090, Russia.

Доп.точки доступа:
Ponomarev, E. I.; Litvintsev, K. Yu.; Shvetsov, E. G.; Finnikov, K. A.; Yakimov, N. D.; Russian Foundation for Basic Research, Government of Krasnoyarsk krai; Krasnoyarsk Regional Science Foundation [17-41-240475, 18-41-242003]; [0356-2019-0009 (0356-2017-0739)]; [0356-20180052]