Estimation of the collection grain sorghum samples for breeding of new varieties

Author:

Kovtunov V. V.1ORCID,Sukhenko N. N.1ORCID,Lushpina О. А.1ORCID,Repeshko Yu. V.1ORCID

Affiliation:

1. FSBSI Agricultural Research Center “Donskoy”

Abstract

Sorghum has valuable biological features and great potential for use. Grain sorghum is characterized with super adaptability, good resistance to air and soil droughts and high temperatures, therefore it can become one of the promising crops in crop rotations. The developed varieties should be early-maturing and large-kernelled. The current paper has presented the study results of the collection nursery of grain sorghum samples of the world breeding. The trials were carried out in the laboratory for grain sorghum breeding and seed production of the FSBSI “Agricultural Research Center “Donskoy” in 2019–2021. According to the study results, there was established that, depending on the year, early-maturing forms made up 39.6–74.4 % of the studied collection. The samples ‘No.2-13’, ‘D577/19’, ‘F7 Pioner 88 x 412 Feterita rannyaya’ and the varieties ‘Kinelskoe 63’, ‘Kamyshinskoe 64’, ‘Kamyshinskoe 75’ were characterized by a short vegetation period (up to 90 days). In 2021, there were 44.8 % of the collection samples with ‘number of kernels per panicle’ from 1001 to 1500 pcs. When compared with the standard variety ‘Zernogradskoe 88’ (1532 pcs.), there were identified eight samples exceeding it in ‘kernel percentage per panicle’. There was found out that the largest part of the collection samples was characterized by a mean and large ‘1000-kernel weight’ (64.1–72.4 % and 16.8–25.5 %, respectively). A very large ‘1000-kernel weight’ (>40 g) through three years was established for the samples ‘Avans’, ‘Atlant’, ‘No.61–13’, ‘Spur Feterita’, ‘Redhull Feterita’, ‘Feterita’. There have been selected the forms with a complex of valuable traits for their further use in breeding work. The purpose of the current study was to research the collection material of various breeding according to such traits as ‘number of kernels per panicle’, ‘1000-kernel weight’, ‘length of a vegetation period’, which have a greater effect on grain sorghum productivity and to identify valuable sources due to these traits.

Publisher

FSBSI Agricultural Research Center Donskoy

Subject

General Medicine

Reference10 articles.

1. Alabushev A.V., Kovtunov V.V., Kovtunova N.A., Gorpinichenko S. I. Seme-novodstvo sorgo zernovogo v Rostovskoy oblasti [Grain sorghum seed production in the Rostov region] // Agrarnaya nauka Yevro-Severo-Vostoka. 2016. № 1. S. 12–15.

2. Dospekhov B.A. Metodika polevogo opyta (s osnovami statisticheskoy obra-botki rezul'tatov issledovaniy) [Methodology of a field trial (with the basics of statistical processing of the study results)]. 5-e izd., pererab. i dop. M.: Al'yans. 2014. 351 s.

3. Metodika gosudarstvennogo sortoispytaniya sel'skokhozyaystvennykh kul'-tur [Methodology of the State Variety Testing of agricultural crops].Vypusk vtoroy.Zernov·yye, krupyan·yye, zernobobovyye, kukuruza i kormov·yye kul'tury. M.: 1989. 194 s.

4. Metodicheskiye ukazaniya po izucheniyu kollektsionnykh obraztsov kukuruzy, sorgo i krupyanykh kul'tur [Methodical recommendations on the study of collection samples of maize, sorghum, and cereals]. L.: VIR. 1968. 51 s.

5. Mokhova V.I. Ustoychivost' k raznokachestvennomu zasoleniyu zernovogo sor-go sorta Ros', vyrashchennogo na fone mineral'nogo udobreniya [The resistance to different quality salting of cereal sorghum variety Ros grown against the background of mineral fertilizer] // Vestnik Krasnoyarskogo gosudarstvennogo agrarnogo universiteta. 2020. № 7. S. 72–77. DOI:10.36718/1819-4036-2020-7-72-77.

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