Morphological characterization of Katarni rice (Oryza sativa L.) derived backcross population for yield and its contributing traits

Author:

Vaibhav Kumar1,Satyendra 1,Kumar Anand1,Singh Suresh Prasad1,Kumar Mankesh1

Affiliation:

1. Bihar Agricultural University, Sabour, Bhagalpur, Bihar, India

Abstract

The aim of backcross breeding is the introgression of a certain trait of interest in a popular variety from a suitable donor variety. Morphological characterization of backcross derived line is a crucial step in backcross breeding programme. Present investigation was framed for the morphological characterization of advance backcross population, developed to introgress semi-dwarf and early maturing traits of Rajendra Sweta and BPT5204 into the background of tall, late maturing scented Katarni rice. The results indicated a significant decrease in the plant height and days of 50 % flowering in the backcross derived lines with respect to Katarni rice. Higher values of phenotypic coefficient of variation (PCV) than the genotypic coefficient of variation (GCV) for all character indicated environmental influence in the development of all characters. High heritability with high genetic advance as percent of mean was observed for 1000 grain weight and plant height. Highly significant and positive correlation with yield per plant was exhibited by traits like 1000 grain weight and leaf aroma. Result of path coefficient analysis indicated direct positive effect of characters like L/B ratio, kernel length and 1000 grain weight on grain yield per plant.

Publisher

Association of Rice Research Workers

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

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