Biological and Agronomic Characterization of Improved Alkali Grass Genotypes (Puccinellia ciliata Bor) in the Aegean Region of Turkey

Author:

Cinar Volkan Mehmet,Unay Aydin

Abstract

Puccinellia is one of the plants with high performance in unfavourable soil conditions. Fourteen super genotypes developed by the recurrent selection method were grown at three different sowing times in order to characterize the alkali grass genotypes for biological and agronomic traits and to determine the relationships with seed yield in the Aegean region of Turkey in 2020. The interaction between sowing time and genotypes was found to be significant for all traits. The seed yield of the 14 Puccinellia genotypes varied between 28.9 kg ha-1 and 90.2 kg ha-1 according to the average of 3 sowing times, and the grand mean was 61.3 kg ha-1. Genotypes with high yielding were defined as thick-leaved (123.3±12.1), large bulliform cells (42.4±5.2), high chlorophyll content (5.7±0.3), large stomatal area (199.6±5.9) and fewer stomata (20.9±1.3). In conclusion, biological characteristics such as stoma area and number, leaf and bulliform structure and chlorophyll content should be used as selection criteria for production.

Publisher

Sciencedomain International

Subject

General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Responses of Alkali Grass (Puccinellia ciliata Bor) Genotypes to Geothermal Water;Türk Tarım ve Doğa Bilimleri Dergisi;2024-04-30

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