Results of estimating promising winter barley varieties and lines

Author:

Khlystunov V. F.1ORCID,Dontsova A. A.2ORCID,Dontsov D. P.2ORCID

Affiliation:

1. FSBSI Agricultural Research Center “Donskoy”; FSBEI HE “Donskoy State Technical University”

2. FSBSI Agricultural Research Center “Donskoy”

Abstract

The current paper has presented the results of an analysis of promising winter barley lines and varieties developed by the FSBSI “Agricultural Research Center “Donskoy” to select valuable genotypes for breeding programs. The basis for the analysis of the studied samples was the methodology for a comprehensive estimation of breeding results, developed by the researchers from the FSBSI “ARC “Donskoy” and the FSBEI HE DSTU. The study was conducted at the FSBSI “Agricultural Research Center “Donskoy” in 2021–2023. Sowing was carried out in 6-fold repetition, the local variety ‘Timofey’ was taken as a standard. There have been analyzed 14 economically valuable traits, identified as the most significant according to the methodology for a comprehensive estimation of barley breeding identifiers. The purpose of the current study was to conduct a comparative estimation of breeding winter barley lines according to the most significant traits for the selection of promising samples. The studied varieties and lines were ranked according to a set of traits and properties into three groups, such as promising, not very promising, and unpromising. The promising group included the new varieties ‘Step’ and ‘Alabai’, sent to the State study in 2, 5, 6 and 8 regions of the Russian Federation in 2022 and 2023, respectively, as well as the lines ‘Parallelum 2015’, ‘Parallelum 2136’, ‘Pallidum 2100’ and ‘Bezosty 2074’, characterized by high indicators of a complex of basic economically valuable characteristics and properties. These samples are being planned to send to the State Commission of the Russian Federation for Testing and Protection of Breeding Achievements.

Publisher

FSBSI Agricultural Research Center Donskoy

Reference9 articles.

1. Nikolaev P.N., Yusova O.A., Safonova I.V., Anis'kov N.I. Adaptivnost' novogo sorta yarovogo yachmenya Omskii 102 v usloviyakh Zapadnoi Sibiri [Adaptability of the new spring barley variety ‘Omsky 102’ in Western Siberia] // Tavricheskii vestnik agrarnoi nauki. 2022. T. 1(29). S. 103–111.

2. Nikolaev P.N., Yusova O.A., Safonova I.V., Anis'kov N.I. Realizatsiya biologicheskoi urozhainosti yachmenya yarovogo v usloviyakh yuzhnoi lesostepi Omskoi oblasti [Realization of the biological spring barley productivity in the southern forest-steppe of the Omsk region] // Agrarnyi vestnik Urala. 2020. № 12 (203). S. 22–34. DOI: 10.32417/1997-4868-2020-203-12-22-34

3. Podinovskaya O.V., Podinovskii V.V. Analiz ierarkhicheskikh mnogokriterial'nykh zadach prinyatiya reshenii metodami teorii vazhnosti kriteriev [Analysis of hierarchical multi-criteria decisionmaking problems using the methods of the criteria importance theory] // Problemy upravleniya. 2014. № 6. S. 2–8.

4. Pryadun Yu. P., Shatalina L.P. Rezul'taty ekologicheskogo ispytaniya sortov yarovogo yachmenya v yuzhnoi lesostepi Yuzhnogo Urala [Results of environmental testing of spring barley varieties in the southern forest-steppe of the Southern Urals] // Agrarnyi vestnik Urala. 2022. № 5(220). S. 12–20. DOI: 10.32417/1997-4868-2022-220-05-12-20

5. Svid. 202369614. Rossiiskaya Federatsiya. Svidetel'stvo ob ofitsial'noi registratsii programmy dlya EVM. Programma opredeleniya vesomosti priznakov pri analize razlichnykh predmetnykh oblastei [Certif. 202369614. Russian Federation. Certificate of official registration of a computer program. The program for determining the value of features in the analysis of various subject areas] / Dimitrov V.P., Khlystunov V.F., Borisova L.V., Chernyaev A.T.; zayavitel' i pravoobladatel': Federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego professional'nogo obrazovaniya «Donskoi gosudarstvennyi tekhnicheskii universitet (DGTU)» (RU). № 2023669614; zayavl. 29.08.2023; opubl. 18.09.2023. Byul. № 9. Reestr programm dlya EVM. 1 s.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3