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Shamanin, V.

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Shamanin
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V.
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Shamanin, V.
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0000-0003-4767-9957

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Now showing 1 - 10 of 14
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    Molecular markers help with breeding for agronomic traits of spring wheat in Kazakhstan and Siberia
    (MDPI, 2024) Morgounov, A.; Babkenov, A.; Ben, C.; Chudinov, V.; Dolinny, Y.; Dreisigacker, S.; Fedorenko, E.; Gentzbittel, L.; Rasheed, A.; Savin, T.; Shepelev, S.; Zhapayev, R.; Shamanin, V.
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    Exploring the agronomic performance and molecular characterization of diverse spring durum wheat germplasm in Kazakhstan
    (MDPI, 2023) Tajibayev, D.; Mukin, K.; Babkenov, A.; Chudinov, V.; Dababat, A.A.; Jiyenbayeva, K.; Kenenbayev, S.; Savin, T.; Shamanin, V.; Tagayev, K.; Rsymbetov, A.; Yessimbekova, M.; Yusov, V.S.; Zhylkybaev, R.; Morgounov, A.; Muhammad Tanveer Altaf; Muhammad Azhar Nadeem; Faheem Shehzad Baloch
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    Genetic characterization of spring wheat germplasm for macro-, microelements and trace metals
    (MDPI, 2022) Morgounov, A.; Huihui Li; Shepelev, S.; Ali, M.; Flis, P.; Koksel, H.; Savin, T.; Shamanin, V.
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    Variation of macro- and microelements, and trace metals in spring wheat genetic resources in Siberia
    (MDPI, 2022) Shepelev, S.; Morgounov, A.; Flis, P.; Koksel, H.; Huihui Li; Savin, T.; Sharma, R.; Jingxin Wang; Shamanin, V.
    Publication
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    Stem rust in Western Siberia – race composition and effective resistance genes
    (Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences, 2020) Shamanin, V.; Pototskaya, I.V.; Shepelev, S.; Pozherukova, V.E.; Salina, E.A.; Skolotneva, E.S.; Hodson, D.P.; Hovmoller, M.S.; Patpour, M.; Morgounov, A.
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    Yield and quality in purple-grained wheat isogenic lines
    (MDPI, 2020) Morgounov, A.; Karaduman, Y.; Akin, B.; Aydogan, S.; Baenziger, P.S.; Bhatta, M.R.; Chudinov, V.; Dreisigacker, S.; Velu, G.; Güler, S.; Guzman, C.; Nehe, A.; Poudel, R.; Rose, D.; Gordeeva, E.; Shamanin, V.; Subasi, K.; Zelenskiy, Y.; Khlestkina, E.K.
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    Marker-trait associations for enhancing agronomic performance, disease resistance, and grain quality in synthetic and bread wheat accessions in Western Siberia
    (Genetics Society of America, 2019) Bhatta, M.R.; Shamanin, V.; Shepelev, S.; Baenziger, P.S.; Pozherukova, V.E.; Pototskaya, I.V.; Morgounov, A.
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    Primary hexaploid synthetics: novel sources of wheat disease resistance
    (Elsevier, 2019) Shamanin, V.; Shepelev, S.; Pozherukova, V.E.; Gultyaeva, E.; Kolomiets, T.; Pakholkova, E.V.; Morgounov, A.
    Climate change is leading to increased occurrence of and yield losses to wheat diseases. Managing these diseases by introducing new, effective and diverse resistance genes into cultivars represents an important component of sustainable wheat production. In 2016 and 2017 a set of primary hexaploid synthetic wheat was studied under high disease pressure: powdery mildew, leaf and stem rust in Omsk; Septoria tritici and S. nodorum in Moscow. A total of 28 synthetics (19 CIMMYT synthetics and 9 Japanese synthetics) were selected as having combined resistance to at least two diseases in both years of testing. Two synthetics (entries 13 and 18) originating from crosses between winter durum wheat Ukrainka odesskaya-1530.94 and various Aegilopes taushii accessions, and four synthetics (entries 20, 21, 23 and 24) from cross between Canadian durum wheat Langdon and Ae. taushii were resistant to all four pathogens. Pathological and molecular markers evaluation of resistance suggests presence of new genes and diverse types of resistance. The novel genetic sources of disease resistance identified in this study can be successfully utilized in wheat breeding.
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    Morphometric parameters of the rooting system and productivity of plants in synthetic line of spring soft wheat in conditions of western siberia in connection with drought resistance
    (Board of the Agricultural Biology magazine, 2018) Shamanin, V.; Pototskaya, I.V.; Shepelev, S.; Pozherukova, V.E.; Morgounov, A.
    В условиях Западной Сибири засуха проявляется в начальный период вегетации, и засушливость в июне—начале июля все возрастает, о чем свидетельствуют данные изменения гидротермического коэффициента. Потепление климата и участившиеся засушливые годы определяют приоритетность селекции на повышение засухоустойчивости сортов пшеницы, позволяющее получать стабильные урожаи по годам. В представленной работе проведена оценка фенотипических различий между линиями гексаплоидной синтетической пшеницы по основным параметрам корневой системы и показано их преимущество перед стандартными сортами по эффективности функционирования в более глубоких слоях почвы. В 2016-2017 годах в условиях Западной Сибири мы изучали синтетические линии, созданные в CIMMYT посредством гибридизации сортов твердой пшеницы Aisberg, Leucurum 84693, Ukr-Od 952.92, Ukr-Od 1530.94 (г. Одесса, Украина) и Рandur (Румыния) (Triticum durum Desf., геном АВ) с различными образцами Aegilops tauschii Coss. (синоним Ae. squarrosa, геном D) из района Каспийского бассейна, а также 15 синтетических линий университета Киото (Япония). Выявлена высокая вариабельность генотипов по основным параметрам корневой системы в гибридных комбинациях с участием разных форм эгилопсов. Линии комбинаций Aisberg/Ae.sq.(369), Ukr-Od 952.92/Ae.sq.(1031), Ukr-Od 1530.94/Ae.sq.(458) и UkrOd 1530.94/Ae.sq.(629) имели хорошо развитую корневую систему: суммарная длина корней оставила 73,9-141,1 см, площадь корней — 16,6-25,3 см2, число кончиков корней — 98-235 шт., биомасса корней — 0,75-0,87 г. Сравнение числа зародышевых корней у линий синтетиков, созданных с участием разных эгилопсов, показало, что 5-6-корешковые формы характерны в основном для форм, полученных на основе образцов эгилопса из Ирана — Ae.sq.(223), Ae.sq.(310), провинция Джилан; Ae.sq.(1031), провинция Занжан, а также Ae.sq.(409) из Дагестана. В статье приведены коэффициенты корреляции между основными количественными признаками растений и параметрами корневой системы у синтетических линий пшеницы. Установлено, что высота растений может служить маркерным признаком при отборе генотипов с лучшей корневой системой и, следовательно, более засухоустойчивых в условиях Западной Сибири. Линии синтетиков №№ 18, 28, 32, 38 Аisberg/Ae.sq.(369), № 37 Ukr-Od 1530.94/Ae.sq.(310), № 59 Ukr-Od 30.94/Ae.sq. (1027), № 61 Pandur/Ae.sq.(409) и № 36 Aisberg/Ae.sq.(369)//Demir, выделившиеся по элементам продуктивности колоса и параметрам корневой системы, рекомендуется использовать в качестве исходного материала для селекции на засухоустойчивость в условиях Западной Сибири.
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    Effect of climate change on spring wheat yields in North America and Eurasia in 1981-2015 and implications for breeding
    (Public Library of Science, 2018) Morgounov, A.; Sonder, K.; Abugaliyeva, A.I.; Bhadauria, V.; Cuthbert, R.; Shamanin, V.; Zelenskiy, Y.; DePauw, R.M.
    Wheat yield dynamic in Canada, USA, Russia and Kazakhstan from 1981 till 2015 was related to air temperature and precipitation during wheat season to evaluate the effects of climate change. The study used yield data from the provinces, states and regions and average yield from 19 spring wheat breeding/research sites. Both at production and research sites grain yield in Eurasia was two times lower compared to North America. The yearly variations in grain yield in North America and Eurasia did not correlate suggesting that higher yield in one region was normally associated with lower yield in another region. Minimum and maximum air temperature during the wheat growing season (April-August) had tendency to increase. While precipitation in April-August increased in North American sites from 289 mm in 1981-1990 to 338 mm in 2006-2015 it remained constant and low at Eurasian sites (230 and 238 mm, respectively). High temperature in June and July negatively affected grain yield in most of the sites at both continents. Climatic changes resulted in substantial changes in the dates of planting and harvesting normally leading to extension of growing season. Longer planting-harvesting period was positively associated with the grain yield for most of the locations. The climatic changes since 1981 and spring wheat responses suggest several implications for breeding. Gradual warming extends the wheat growing season and new varieties need to match this to utilize their potential. Higher rainfall during the wheat season, especially in North America, will require varieties with higher yield potential responding to moisture availability. June is a critical month for spring wheat in both regions due to the significant negative correlation of grain yield with maximum temperature and positive correlation with precipitation. Breeding for adaptation to higher temperatures during this period is an important strategy to increase yield.
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