Selection of promising winter barley base lines using complex assessment of identifiers

The study aimed to conduct a complex assessment of winter barley base lines to select promising parental lines for inclusion in a hybridization program. This article presents data from field and laboratory trials conducted between 2022 and 2024, identifying the most promising winter barley varieties and lines from the collection at the Agricultural Research Center “Donskoy”. In autumn, 119 collection samples were sown at optimal agronomic times using a Wintersteiger Plotseed seeder to select the most promising (valuable) genotypes for use in breeding programs. Field trials and observations were conducted according to the Methodology of the State Variety Testing of Agricultural Crops (2019). The analysis of the studied varieties and breeding lines was performed using an improved methodology for complex assessment of winter barley breeding, developed at the ARC “Donskoy”, based on 14 key characteristics (identifiers). Structuring the data array using a complex scoring index for each sample, following a proposed algorithm to identify typical zones based on yield potential during analysis of the integrated frequency function of a variety or line, resulted in the establishment of four zones: 23 most promising samples (19.33% of the total), 31 promising samples (26.05% of the total), 42 less promising samples (35.29% of the total), and 23 unpromising samples (19.33% of the total). The most promising group included samples such as Paradiz, Banio, Cotanici, and Fakir, which exhibited high scores for a complex of key economically valuable traits and properties. These most promising samples will be included in the hybridization program in 2025 to develop new winter barley varieties with improved economically valuable traits and properties.

1. Lukina K.A., Kovaleva O.N., Loskutov I.G. Naked barley: taxonomy, breeding, and prospects of utilization. Vavilov Journal of Genetics and Breeding. 2022;26(6):524-536. (In Russ.) https://doi.org/10.18699/VJGB-22-64

2. Goldvarg B.A., Boktaev M.V., Filippov E.G., Dontsova A.A. Ecological testing of the winter barley varieties in the conditions of the Republic of Kalmykia. Grain Economy of Russia. 2020;(3):48-51. (In Russ.) https://doi.org/10.31367/20798725-2020-69-3-48-51

3. Filippov E.G., Bragin R.N., Dontsova A.A., Dontsov D.P. Assessment of ecological plasticity and stability of spring barley varieties. Taurida Herald of the Agrarian Sciences. 2021;(3(27)):172-179. (In Russ.) https://doi.org/10.33952/2542-0720-2021-3-27-172-179

4. Sukharev A.A., Ovsyannikova G.V., Kopman I.K. Winter barley productivity in the southern part of the Rostov region when sowing sunflower as a forecrop with different seeding rates. Grain Economy of Russia. 2024;(16(5)):101-107. (In Russ.) https://doi.org/10.31367/2079-8725-2024-94-5-101-107

5. Rozanova I.V., Khlestkina E.K. NGS sequencing in barley breeding and genetic studies. Vavilov Journal of Genetics and Breeding. 2020;24(4):348-355. (In Russ.) https://doi.org/10.18699/VJ20.627

6. Alabushev A.V., Popov A.S., Lysenko A.A., Yatsenko V.A. Productivity and quality of winter wheat varieties in the Eastern part of the Rostov region. Grain Economy of Russia. 2018;(4):21-24. (In Russ.) https://doi.org/10.31367/2079-8725-2018-58-4-21-24

7. Romanenkov V.A., Pavlova V N., Belichenko M.V. Agrotechnological possibilities of climate risk management in the cultivation of grain crops. Agrohimiya. 2022;(12):19-30. (In Russ.) https://doi.org/10.31857/S0002188122120110

8. Levakova O.V., Dedushev I.A., Eroshenko L.M., Romakhin M.M. et al. Influence of agrometeorological climate changes on grain productivity of spring barley in the Non-Chernozem Zone of the Russian Federation. South of Russia: Ecology, Development. 2022;17(1):128-135. (In Russ.) https://doi.org/10.18470/1992-1098-2022-1-128-135

9. Eroshenko L.M., Levakova O.V., Gladysheva O.V., Gureeva E.V. et al. The elements of productivity and their contribution to high level of crop yield. IOP Conf. Series: Earth and Environmental Science. 2021;843:012005. https://doi.org/10.1088/1755-1315/843/1/012005

10. Andreev A.A., Dracheva M.K. The estimation of adaptability of spring barley varieties and the selection of parental forms for a breeding process. Grain Economy of Russia. 2019;(4(64)):42-45. (In Russ.) https://doi.org/10.31367/2079-8725-2019-64-4-42-45

11. Surin N.A., Lyakhova N.E., Gerasimov S.A., Lipshin A.G. Adaptive potential of barley of East Siberian breeding. Achievements of Science and Technology of Agro-Industrial Complex. 2017;31(5):28-31. (In Russ.)

12. Zaytseva I.Yu., Schennikova I.N. Genetic resources for priority concepts of spring barley breeding in the Volga-Vyatka Region. Izvestiya of Timiryazev Agricultural Academy. 2023;(3):73-86. (In Russ.) https://doi.org/10.26897/0021-342X-2023-3-73-86

13. Shchennikova I.N., Sheshegova T.K., Kokina L.P., Zaytseva I.Yu. et al. Bioresources of spring barley for breeding new commercial varieties under the conditions of the Volga-Vyatka Region: methodological guidelines. Ed. by G.A. Batalova. Kirov, Russia: Federal Agricultural Research Center of the North-East named N.V. Rudnitskogo, 2022:28. (In Russ.)

14. Methodology of state variety testing of agricultural crops. Issue No. 1. Moscow, Russia, 2019:329. (In Russ.)

15. Methodical instructions of VIR for the study of the world collection of barley and oats. St. Petersburg, Russia, 2012:63. (In Russ.)

16. Dospekhov B.A. Methodology of field experiment: a textbook. Moscow, Russia: Al’yans, 2011:351. (In Russ.)

17. Khlystunov V.F., Dontsova A.A., Dontsov D.P. Results of estimating promising winter barley varieties and lines. Grain Economy of Russia. 2024;(16(3)):60-67 (In Russ.) https://doi.org/10.31367/2079-8725-2024-92-3-60-67

18. Khlistunov V., Kopteva N., Filippov Y., Udintsova N. Results of the Development of the Integrated Evaluation of the Winter Barley Breeding Identifiers. E3S Web Conf. 2023;431(5):01050. http://doi.org/10.1051/e3sconf/202343101050

19. Certificate of Official Registration of Computer Program No. 202369614 (Russian Federation). Program for determining the weight of features in the analysis of various subject areas. Dimitrov V.P., Khlystunov V.F., Borisova L.V., Chernyaev A.T., 2023. (In Russ.)

20. Certificate of Official Registration of Computer Program No. 2023667053 (Russian Federation). Program for structuring a statistical array of identifier values. Khlystunov V.F., Kopteva N.A., Dimitrov V.P., Chernyaev A.T. et al., 2023. (In Russ.)