Effect of planting geometry and training on growth and seed yield of tomato (Solanum lycopersicum L.)

Author:

Ansari Gulshan,Lal Manohar,Kanwar H. S.,Kanwar Rajesh,Verma Rohit

Abstract

The study was conducted to evaluate the effect of planting geometry and training on growth and seed yield of tomato (Solanum lycopersicum L.) using cultivar Solan Lalima during Kharif 2013 at Experimental Farm of Department of Seed Science and Technology, Dr. Y.S. Parmar University of Horticulture and Forestry, Nauni, Solan (H.P.). The treatments comprised of four training levels i.e. Y1 (single stem), Y2 (double stem), Y3 (unpruned with horizontal string) and Y4 (unpruned bush stakes (control)) and eight plant densities viz. S1 (60×15 cm), S2 (60+30×15 cm), S3 (60×30 cm), S4 (60+30×30 cm), S5 (90×15 cm), S6 (90+30×15 cm), S7 (90×30 cm) and S8 (90+30×30 cm). Analysis of variance showed that the treatment combination Y1S7 (single stem and plant spaced at 90×30 cm) resulted in maximum ripe fruit length and width (5.86 cm and 5.06 cm, respectively), maximum number of seeds/fruit (110.67), minimum days to ripe fruit harvest (71.00) and maximum harvest duration (59.84 days) but gave the low seed yield. The combination Y2S5 (double stem and 90×15 cm) resulted highest seed yield i.e. 519.71 kg per hectare. Therefore, planting density S5 (90x15 cm) in combination with training system Y2 (double stem) may be recommended for commercial seed production of tomato.

Publisher

ANSF Publications

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology

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

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