In vivo regeneration efficiency of enset (Ensete ventricosum (Welw.) Cheesman) as affected by age of parent plant and corm proportion

Author:

Bora Fikadu,Haile BewuketuORCID

Abstract

AbstractIn cultivation, E. ventricosum is propagated clonally with adventitious buds sprouting from callus formed on the cut surfaces of the corm. The present study was conducted to enhance the efficiency of this indigenous enset propagation technique by identifying the optimum age of parent plants and corm types for maximum shoot production. This study was conducted using corms in the range of 12–18, 20–28, 29–38, and 40–50 cm diameter, corresponding to four age classes (1, 2, 3 & 4 years old) and three corm treatments (whole, half and quarter) were arranged in 3 × 4 factorial combination and layout in randomized complete block design with three replications. The statistical program SAS Version 9.3 was used to examine the data. The result of the study showed that all of the parameters considered were significantly affected by the treatments or their interaction effects. The number of shoots produced per corm was significantly (p < 0.01) affected by the interaction of the age of the parent plant and corm treatment. The average number of shoots produced per corm was between 43 and 443 shoots per com. The highest shoot numbers (443 shoots per corm) were recorded on the 3-year plant using quarter corm; whereas the lowest number of shoots (43 shoots per corm) was obtained from whole corms of the 1-year plant. In general, the results of the study showed that the use of quartered corms of 3-year-old parent plants appears to be the efficient technique to regenerate enset in vivo.

Publisher

Springer Science and Business Media LLC

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