Genetic studies of different agronomic, quality and yield contributing traits in Gossypium hirsutum L.

Author:

Abstract

An experiment of 4 × 4 diallel was carried out to study the gene action of different yield and yield contributing traits of four advanced cotton cultivars using Mather and Jinks approach. Significant variation was present for all the characters (P< 0.01). The data on recorded parameters revealed that most of the traits were fully or partially fit for genetic interpretation. Additive gene action (D) was significant and pre-dominant for all the characters while seeds per locule showed dominance effect of H1& H2, and it was confirmed by the value of degree of dominance (H1/D 0.5). The value of H2/4H1 and h2 (measures the direction of dominance) demonstrated asymmetrical division of dominant genes for all traits, except ginning out turn (G.O.T) percentage and fiber length, in parental material. All the studied traits showed high value of narrow sense heritability (h2NS), however seeds per locule possessed low heritability. The genetic analysis revealed that all the characters could be improved by progeny and pedigree selection, whereas hybrid dynamism could be exploited in the trait like seeds per locule.

Publisher

University of Sargodha

Reference33 articles.

1. Akiscan, Y., & Gencer, O. (2014). Diallel analysis for fiber quality properties of cotton (Gossypium hirsutum, L.). Genetics and Plant Physiology, 4(3/4), 209–215.

2. Arvind, K., S. Gaurav and T. Shiri. 2021. Combining ability studies in okra (Abelmoschus esculentus L.) through diallel analysis for yield and yield attributing characters. The Pharma Innovation Journal,10(5), 480–485.

3. Ali, M. A., Khan, I. A., Awan, S. I., Shiraz, A., & Shahid, N. (2008). Genetics of fibre quality traits in cotton (Gossypium hirsutum L.). Australian Journal of Crop Science, 2(1), 10–17.

4. Ali, M. A., & Awan, S. I. (2009). Inheritance pattern of seed and lint traits in cotton (Gossypium hirsutum). Int. J. Agric. Biol, 11(1), 44–48.

5. Annonymous. 2020-2021. Economic Survey of Pakistan, Finance division. Economic Advisory Wing, Islamabad, Pakistan.

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