Evaluation of genetic variability parameters for yield, yield attributes and fibre quality traits in the F2 population of Gossypium hirsutum L.

Author:

Krishnan KeerthivarmanORCID,Selvaraj SubhashiniORCID,Madhu BanothORCID,Krishnamoorthi Aravind,Manoharan Akilan

Abstract

The F2 populations of the crossings CO 14 × NDLH 1938 and CO17 × NDLH 1755 were used to investigate variability and heritability studies in order to better understand the gene action involved in each characteristic studied. Morphological data viz., days to first flowering, plant height (cm), number of sympodials, number of bolls per plant, boll weight (g), ginning outturn (%), upper half mean length (mm), elongation percentage (%) and micronaire value (µg/inch) were all recorded in each plant of both the populations. Studies of heritability and genetic advance as a percent of mean help us determine if a gene is additive or epistatic in nature, and so undergo appropriate breeding programmes for population enhancement. The value of PCV (Phenotypic Coefficient of variation) was always greater than GCV (Genotypic coefficient of variation) indicating the environment also plays a major role in contributing to the variations. The seed cotton yield per plant alone was shown to exhibit additive gene action with high heritability and strong genetic advance as percent of mean, suggesting that it might be used in direct selection since it is the most important attribute for population development.

Publisher

Action For Sustainable Efficacious Development and Awareness

Subject

General Medicine

Reference22 articles.

1. Boopathi, N. M., Thiyagu, K., Urbi, B., Santhoshkumar, M., Gopikrishnan, A., Aravind, S. & Ravikesavan, R. (2011). Marker-assisted breeding as next-generation strategy for genetic improvement of productivity and quality: can it be realized in cotton. International Journal of Plant Genomics, 4 (8), 56-67.

2. Budak, H., Bolek, Y., Dokuyucu, T., & Akkaya, A. (2004). Potential uses of molecular markers in crop improvement. KSU Journal of science and Engineering, 7(1), 75-79.

3. Burton, G. W. (1952). Qualitative inheritance in grasses. Vol. 1. In Proceedings of the 6th International Grassland Congress, Pennsylvania State College 3 (9), 17-23.

4. Burton, G. W., & Devane, D. E. (1953). Estimating heritability in tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy journal, 45(10), 478-481.

5. Eswari, K.B., Sudheer Kumar, S., Gopinath and Rao, M.V.B. (2017). Genetic variability heritability and genetic advance studies in cotton. International Journal of Development Research. 07: 10902-10904.

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