Optimization of technology elements in soybean stubble crop in Uzbekistan

Author:

Umarova N S,Kamalova N,Gulyamov A

Abstract

Abstract Soybean, which is considered as valuable crop, is vitally important to solve the problem of increasing grain production and the protein in our country. In this research, the results of a study on the study of sowing dates and seeding rates of early-ripening and mid-ripening soybean varieties under conditions of irrigated typical gray fats were described. Field and laboratory methods were employed to conduct this research. Soybean stubble crops were carried out after harvesting winter wheat. Three sowing dates and three seeding rates were studied. Late sowing dates are used to determine the possible late soybean sowing dates that ensure grain yield. At early terms of sowing stubble crops, soybean varieties developed well, grew, and formed a grain yield and a certain quality of grain. According to the results, On average, over three years, seedlings of the Orzu variety, depending on the sowing time and seeding rates, appeared on days 9-11, the budding phase on days 21-25, and the flowering phase on 8-9 days after budding. The best grain quality in the Orzu variety was observed when sowing on June 15 with a norm of 500 thousand; in variety Uzbek-2 when sowing on June 15 with a norm of 300 thousand/ha.

Publisher

IOP Publishing

Subject

General Engineering

Reference13 articles.

1. The Influence Of Cultivation Practices On The Yield Of Second Crops Peanut, Soybean And Mungbean;Yodgorov;International Scientific And Technical Journal “Innovation Technical And Technology”,2020

2. A short season Canadian soybean cultivar double cropped after winter wheat in Uzbekistan with and without inoculation with Bradyrhizobium;Bourgault,2015

3. Optimization of land and resource use at farm-aggregated level in the Aral Sea Basin of Uzbekistan with the integrated model FLEOM-model description and first application;Sommer,2010

4. The role of soybean cultivation in increasing soil fertility;Negmatova,2020

5. The reliance of the yield of soybeans on sowing methods and seeding norms;Abitov;International Journal of Engineering and Technical Research,2010

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