Some aspects of testing cotton Gossypium hirsutum L. in conditions of the Astrakhan region

Author:

Myagkova Elena G.ORCID

Abstract

Cotton is a valuable crop for the Russian economy. Creation of the initial material for breeding work, as well as the introduction into production of high-yielding cotton varieties adapted to growing conditions are the main tasks set for Russian breeders. The study of agronomic traits of cotton varieties was carried out at Precaspian Agrarian Federal Scientific Center of the Russian Academy of Sciences, located in the north of the Astrakhan region, in 2017-2019. The research was performed in order to identify productivity potential, as well as to determine the adaptive capabilities to extreme climatic conditions of the Northern Caspian region. Cotton varieties were compared with the standard (AS-1). The results were processed according to methods of mathematical statistics. All varieties studied in the research had good indicators of agronomic traits. UZ-4 and Goliot varieties were characterized by the highest yield values - 3.0 and 2.6 t/ha, respectively.

Publisher

Peoples' Friendship University of Russia

Subject

Materials Science (miscellaneous)

Reference15 articles.

1. Rakhimov AD, Akhmedov DH, Akhmedov DD. Study of the indicators of economically valuable traits of hybrids of medium-fiber cotton. In: Modernization of the sphere of education and science taking into account world scientific and technological trends: conference proceedings. Belgorod: Agency for Advanced Scientific Research publ.; 2020. p.9–11. (In Russ.).

2. Asfandiyarova MS, Rybakova TP. Cotton cultivation in arid conditions of the North-Western Caspian Sea. In: Current ecological state of the natural environment and scientific and practical aspects of rational nature management: conference proceedings. Caspian Research Institute of Agriculture publ.; 2018. p.523–526. (In Russ.).

3. Bavrina AP. Modern rules for the use of descriptive statistics methods in biomedical research. Medical almanac. 2020;(2):95–104. (In Russ.).

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