IDENTIFICATION OF SUITABILITY GENES TO MECHANICAL HARVESTING AMONG DOMESTIC LENTIL VARIETIES
DOI 10.12737/2073-0462-2025-20-4-58-62 УДК 635.658:631.523
Keywords:
plate lentil (Lens culinaris), collection accession, suitability for mechanical harvesting, CASP markers.Abstract
The use of molecular genetic methods in lentil breeding significantly reduces the time required to develop high-tech varieties. The aim of this study was to identify CASP (Competitive Allele Specific PCR) markers associated with genes encoding mechanical harvesting suitability traits in lentil collection and breeding material, as well as effective SNP (Single Nucleotide Polymorphism) loci for marker-assisted selection in Western Siberia. The study was conducted from 2022 to 2024 in Omsk region. A collection of 84 domestic lentil accessions was studied using generally accepted breeding methods. Analysis of the traits for mechanical harvesting suitability and identification of the loci associated with these traits were carried out using CASP method for nine markers. The proportion of samples with a favorable allele of the degree of foliage depending on group by geographical origin was 11.6...25.0%, branching - 12.5...44.1%, pod attachment height - 48.1...62.5%, growth rate - 8.1...37.6%, pod desquamation - 23.2...75.0%, plant height - 5.4...37.5%. The effect of branching and foliage (LcRBContig00050 and LcRBContig00065) on lodging resistance, expressed as a decrease in vegetative plant mass, is statistically significant and amounts to 10...30%. The presence of a favorable allele of growth rate markers (LcRBContig00079 and LcRBContig00158) significantly increases plant growth in the early stages by 0.35-0.91 cm. CASP markers LcRBContig01123 and LcRBContig0534 are associated with an increase in plant height by 2-8 cm and bean attachment by 1-4 cm. An SNP associated with bean non-dehiscence (LcRBContig00067) allows for an increase in the proportion of non-dehiscence beans during lentil maturation to 90%. As a result of the research, promising lentil lines from KSI nursery, selected in Omsk, which exceed the standard in terms of technological effectiveness, were selected – L 18-20, L 12-20, L 03-20.
References
1. Быкова В. А. Производство зерновых и зернобобовых культур в Сибирском федеральном округе в контексте обеспечения продовольственной безопасности // Продовольственная политика и безопасность. 2023. Т. 10. No 3. С. 471–482. doi: 10.18334/ppib.10.3.118249.
2. Зотиков В. И., Вилюнов С. Д. Современная селекция зернобобовых и крупяных культур в России // Вавиловский журнал генетики и селекции. 2021. Т. 25. No 4. С. 381–387. doi: 10.18699/VJ21.041.
3. Технологический потенциал зернобобовых культур / Д. П. Волков, О. С. Башинская, С. А. Зайцев и др. // АгроЭкоИнфо. 2023. No 3 (57). URL: https://agroecoinfo.ru/STATYI/2023/3/st_305.pdf (дата обращения: 10.03.2025). doi: 10.51419/202133305.
4. Видовое разнообразие коллекции генетических ресурсов зернобобовых ВИР и его использование в отечественной селекции (обзор) / М. А. Вишнякова, Т. Г. Александрова, Т. В. Буравцева и др. // Труды по прикладной ботанике, генетике и селекции. 2019. Т. 180. No 2. С. 109–123. doi: 10.30901/2227–8834–2019–2–109–123.
5. KASP-IEva: an intelligent typing evaluation model for KASP primers / X. Chen, L. Huang, J. Fan, et al. // Frontiers in Plant Science. 2024. Vol. 14. URL: https://www.frontiersin.org/journals/plant-science/articles/10.3389fpls.2023.1293599/full (дата обращения: 10.03.2025). doi: 10.3389/fpls.2023.1293599.
6. Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morocco / A. Baggar, A. Safi, F. Gaboun, et al. // Plant Science Today. 2022. URL: https://horizonepublishing.com/journals/index.php/PST/article/view/1814/1649 (дата обращения: 15.03.2025). doi: 10.14719/pst.1814.
7. RNA-Seq analysis and development of SSR and KASP markers in lentil (Lens culinaris Medikus subsp. culinaris) / D. Wang, N. Li, X. Wang, et al. // The Crop Journal. 2020. Vol. 8, No. 6. P. 953-965. URL: https://www.sciencedirect.com/science/article/pii/S2214514120300763 (дата обращения: 10.03.2025). doi: 10.1016/j.cj.2020.04.007.
8. Аксенова Ю. В., Шмидт А. Г. Оценка природно-ресурсного потенциала земледельческой территории Омской области // Российская сельскохозяйственная наука. 2024. No 3. С. 8–14. doi: 10.31857/ S2500262724030021.
9. Маракаева Т. В. Оценка образцов тарелочной чечевицы по хозяйственно-биологическим показателям // Вестник Казанского государственного аграрного университета. 2024. Т. 19. No 4(76). С. 49-55. doi: 10.12737/2073-0462-2024-49-55.
10. Методика государственного сортоиспытания сельскохозяйственных культур. 2019. Вып. 1. 329 с. URL: https:// https://gossortrf.ru/publication/metodiki-po-ksi.php (дата обращения: 23.03.2025).
11. Методические указания по изучению коллекции зерновых бобовых культур / cост. Н. И. Корсаков, О. П. Адамова, В. И. Буданова и др.; ВАСХНИЛ, Всесоюз. науч.-исслед. ин-т растениеводства им. Н. И. Вавилова. Л.: ВИР, 1975. 59 с.
12. Доспехов Б. А. Методика полевого опыта (с основами статистической обработки результатов исследований). Изд. 6-е, стереотип., перепеч. с 5-го изд. М.: Альянс, 2014. 352 с.
1. Bykova VA. [Production of grain and leguminous crops in Siberian Federal District in the context of food security]. Prodovolstvennaya politika i bezopasnost. 2023; Vol.10. 3. 471-482 p. doi: 10.18334/ppib.10.3.118249.
2. Zotikov VI, Vilyunov SD. [Modern breeding of leguminous and cereal crops in Russia]. Vavilovskiy zhurnal genetiki i selektsii. 2021; Vol.25. 4. 381-387 p. doi: 10.18699/VJ21.041.
3. Volkov DP, Bashinskaya OS, Zaytsev SA. Technological potential of grain leguminous crops. [Internet]. AgroEkoInfo. 2023; 3 (57). [cited 2025, March 10]. Available from: https://agroecoinfo.ru/STATYI/2023/3/st_305.pdf. doi: 10.51419/202133305.
4. Vishnyakova MA, Aleksandrova TG, Buravtseva TV. [Species diversity of VIR legume genetic resources collection and its use in domestic breeding (review)]. Trudy po prikladnoy botanike, genetike i selektsii. 2019; Vol.180. 2. 109-123 p. doi: 10.30901/2227–8834–2019–2–109–123.
5. Chen X, Huang L, Fan J. KASP-IEva: an intelligent typing evaluation model for KASP primers. [Internet]. Frontiers in Plant Science. 2024; Vol.14. [cited 2025, March 10]. Available from: https://www.frontiersin.org/journals/plant-science/articles/10.3389fpls.2023.1293599/full. doi: 10.3389/fpls.2023.1293599.
6. Baggar A, Safi A, Gaboun F. Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morocco. [Internet]. Plant Science Today. 2022; [cited 2025, March 15]. Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/1814/1649. doi: 10.14719/pst.1814.
7. Wang D, Li N, Wang X. RNA-Seq analysis and development of SSR and KASP markers in lentil (Lens culinaris Medikus subsp. culinaris). [Internet]. The Crop Journal. 2020; Vol.8, No.6. 953-965 p. [cited 2025, March 10]. Available from: https://www.sciencedirect.com/science/article/pii/S2214514120300763. doi: 10.1016/j.cj.2020.04.007.
8. Aksenova YuV, Shmidt AG. [Assessment of natural resource potential of the agricultural territory of Omsk region]. Rossiyskaya selskokhozyaystvennaya nauka. 2024; 3. 8-14 p. doi: 10.31857/ S2500262724030021.
9. Marakaeva TV. [Evaluation of plate lentil samples by economic and biological indicators]. Vestnik Kazanskogo gosudarstvennogo agrarnogo universiteta. 2024; Vol.19. 4(76). 49-55 p. doi: 10.12737/2073-0462-2024-49-55.
10. Methodology of state variety testing of agricultural crops. [Internet]. State Commission for Variety Testing. 2019; issue1.329 p. [cited 2025, March 23]. Available from: https:// https://gossortrf.ru/publication/metodiki-po-ksi.php.
11. Korsakov NI, Adamova OP, Budanova VI. Metodicheskie ukazaniya po izucheniyu kollektsii zernovykh bobovykh kultur. [Methodological guidelines for studying the grain legumes collection]. VASKhNIL, Vsesoyuz. nauch.-issled. in-t rastenievodstva im.N.I.Vavilova. Leningrad: VIR. 1975; 59 p.
12. Dospekhov BA. Metodika polevogo opyta (s osnovami statisticheskoy obrabotki rezultatov issledovaniy). [Methodology of field experiment (with the basics of statistical processing of research results)]. 6th edition, stereotype, reprinted from 5th edition. Moscow: Alyans. 2014; 352 p.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2026 Vestnik of Kazan state agrarian university
This work is licensed under a Creative Commons Attribution 4.0 International License.
Метаданные научных статей, включая название, аннотацию, сведения об авторах, список литературы, идентификаторы и иные элементы библиографического описания для дальнейшего неограниченного использования, передаются в редакцию с правом их неограниченного использования на условиях открытой лицензии Creative Commons Attribution (CC BY).
