Journal of Plant Sciences

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Detecting Similarities and Differences of Promising Elite Cotton (Gossypium hirsutum L.) Genotypes Influenced by Seed Cotton Yield and Related Components

Received: 11 May 2023    Accepted: 5 June 2023    Published: 1 February 2024
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Abstract

Cotton (Gossypium hirsutum L.) is a premier cash and natural fibre crop grown worldwide. Cotton Breeding Programme in Zimbabwe is driven by the basic principle of continuous improvement in genetics of available cotton germplasm for high production and productivity under varying agro-climatic conditions. An experiment was carried out at six sites namely Chitekete, Chizvirizvi, Masakadza, Muzarabani, Tokwane and Umguza over two seasons, 2020 and 2021. Ten treatments that comprised of eight promising lines and two checks were replicated three times and laid out in a Randomized Complete Block Design. Gross plot was 36m2 and Net plot was 16m2. Seed Cotton yield, lint yield, plant height, 100 boll weight, Earliness Index, Boll weight and Gin out turn were measured and data was analyzed using Genstat 18th version. Maximum variation as indicated by high values that ranged from 16.4% to 20.1% was observed for Earliness Index, Total Seed Cotton, Plant Height and Lint Yield whilst least variation was recorded for Gin-Out-Turn and 100 seed weight. Mean performance results revealed a yield difference of 539kgha-1 between the highest and the lowest yielding candidate thus 22% yield advantage for 83-01-4 over 820-01-1. Of the seven computed principal components only PC1 and PC2 achieved eigenvalue >1 and contributed about 63.99% of the accumulative variation among the attributes under examination. The study results gave the breeder an option to target parents with strengths in some important traits for use in cotton yield improvement programmes. Key suggestions were also hinted for use in hybridization combinations.

DOI 10.11648/jps.20241201.15
Published in Journal of Plant Sciences (Volume 12, Issue 1, February 2024)
Page(s) 30-35
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Principal Component Analysis, Correlation Coefficient, Hybridization, Breeding Programmes, Variation

References
[1] Ali CR, Arshad M, Khan MI, Fzal M. Study of earliness in commercial cotton (G. hirsutum L.) genotypes. J Res Sci. 2003; 14(2): 153–7.
[2] Ashokkumar, K. and R. Ravikesavan. 2011. Morphological diversity and performance in upland cotton (Gossypium hirsutum L.). J. Agri. Sci., 3: 107-113.
[3] Baloch A, Baloch M, Jatoi S, et al. Genetic diversity analysis in genetically modified cotton (Gossypium hirsutum L.) genotypes. Sindh Uni Res J. 2015; 47(3): 527–30 doi: https://doi.org/10.20546/ijcmas.2019.804.304
[4] Brown-Guedira, G. L. (2000) Evaluation of Genetic Diversity of Soybean Introductions and North American Ancestors Using RAPD and SSR Markers. Crop Science, 40, 815-823. https://doi.org/10.2135/cropsci2000.403815x
[5] Jian, C., L. Wei, L. Ruili and L. F. W. Feng. 2006. Genetic diversity detected by cluster analysis North of Anhui major wheat cultivars. Chinese Agri. Sci. Bull., 11: 031.
[6] Kaleri, A. A., S. Y. Rajput, G. A. Kaleri and J. A. Marri. 2015. Analysis of Genetic diversity in genetically modified and non-modified cotton (Gossypium hirsutum L.)
[7] Kumari Vinodhana, N. and Gunasekaran, P. 2019. Evaluation of Genetic Diversity in Cotton (Gossypium barbadense L.) Germplasm for Yield and Fibre Attributes by Principle Component Analysis. Int. J. Curr. Microbiol. App. Sci. 8(04): 2614-2621.0.1111/pbi.12688.
[8] Latif, A., M. Bilal, S. B. Hussain and F. Ahmad. 2105. Estimation of genetic divergence, association, direct and indirect effects of yield with other attributes in cotton (Gossypium hitsutum L.) using biplot correlation in and path coefficient analysis. Tropical Plant Res. 2(2): 120- 126.
[9] Quailing, W. and L. Zhe. 2011. Principal Component analysis of F2 individual selection in upland cotton (Gossypium hirsutum L.). J. Henan Inst. Sci. &Technol., (Natural Sci. Ed.), 5: 004.
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[11] Rehman, S. U., M. A. Abid, M. Bilal, J. Ashraf, S. Liaqat, R. I. Ahmed and G. Qambar. 2015. Genotype by trait analysis and estimates of heritability of wheat (Triticum aestivum L.) under drought and control conditions. Basic Res. J. Agric. Sci. Rev., 4(4): 127-134.
[12] SAHAR, A., ZAFAR, M. M., RAZZAQ, A. et al. Genetic variability for yield and fiber related traits in genetically modified cotton. J Cotton Res 4, 19 (2021). https://doi.org/10.1186/s42397-021-00094-4
[13] Shah, A. S., Khan, J. S, Ullah. K1 and Sayal, O. U. 2018. Genetic Diversity in Cotton Germplasm using Multivariate Analysis. Sarhad Journal of Agriculture, 130-135.
[14] Sharma, J. R. 1998. Statistical and Biometrical Techniques in Plant Breeding. New Age International (P) Limited Publishers, New Dehli. 432p.
[15] Siddique MA, Rashid ESMH, Khalequzzaman M, et al. Genetic diversity of local rainfed rice (Oryza sativa L.). Bangladesh J Plant Breed Genet. 2010; 23(2): 41–6. https://doi.org/10.3329/bjpbg.v23i2.9324.
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  • APA Style

    Marco, M., Washington, M. (2024). Detecting Similarities and Differences of Promising Elite Cotton (Gossypium hirsutum L.) Genotypes Influenced by Seed Cotton Yield and Related Components. Journal of Plant Sciences, 12(1), 30-35. https://doi.org/10.11648/jps.20241201.15

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    ACS Style

    Marco, M.; Washington, M. Detecting Similarities and Differences of Promising Elite Cotton (Gossypium hirsutum L.) Genotypes Influenced by Seed Cotton Yield and Related Components. J. Plant Sci. 2024, 12(1), 30-35. doi: 10.11648/jps.20241201.15

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    AMA Style

    Marco M, Washington M. Detecting Similarities and Differences of Promising Elite Cotton (Gossypium hirsutum L.) Genotypes Influenced by Seed Cotton Yield and Related Components. J Plant Sci. 2024;12(1):30-35. doi: 10.11648/jps.20241201.15

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  • @article{10.11648/jps.20241201.15,
      author = {Mare Marco and Mubvekeri Washington},
      title = {Detecting Similarities and Differences of Promising Elite Cotton (Gossypium hirsutum L.) Genotypes Influenced by Seed Cotton Yield and Related Components},
      journal = {Journal of Plant Sciences},
      volume = {12},
      number = {1},
      pages = {30-35},
      doi = {10.11648/jps.20241201.15},
      url = {https://doi.org/10.11648/jps.20241201.15},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.jps.20241201.15},
      abstract = {Cotton (Gossypium hirsutum L.) is a premier cash and natural fibre crop grown worldwide. Cotton Breeding Programme in Zimbabwe is driven by the basic principle of continuous improvement in genetics of available cotton germplasm for high production and productivity under varying agro-climatic conditions. An experiment was carried out at six sites namely Chitekete, Chizvirizvi, Masakadza, Muzarabani, Tokwane and Umguza over two seasons, 2020 and 2021. Ten treatments that comprised of eight promising lines and two checks were replicated three times and laid out in a Randomized Complete Block Design. Gross plot was 36m2 and Net plot was 16m2. Seed Cotton yield, lint yield, plant height, 100 boll weight, Earliness Index, Boll weight and Gin out turn were measured and data was analyzed using Genstat 18th version. Maximum variation as indicated by high values that ranged from 16.4% to 20.1% was observed for Earliness Index, Total Seed Cotton, Plant Height and Lint Yield whilst least variation was recorded for Gin-Out-Turn and 100 seed weight. Mean performance results revealed a yield difference of 539kgha-1 between the highest and the lowest yielding candidate thus 22% yield advantage for 83-01-4 over 820-01-1. Of the seven computed principal components only PC1 and PC2 achieved eigenvalue >1 and contributed about 63.99% of the accumulative variation among the attributes under examination. The study results gave the breeder an option to target parents with strengths in some important traits for use in cotton yield improvement programmes. Key suggestions were also hinted for use in hybridization combinations.
    },
     year = {2024}
    }
    

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    AU  - Mare Marco
    AU  - Mubvekeri Washington
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    AB  - Cotton (Gossypium hirsutum L.) is a premier cash and natural fibre crop grown worldwide. Cotton Breeding Programme in Zimbabwe is driven by the basic principle of continuous improvement in genetics of available cotton germplasm for high production and productivity under varying agro-climatic conditions. An experiment was carried out at six sites namely Chitekete, Chizvirizvi, Masakadza, Muzarabani, Tokwane and Umguza over two seasons, 2020 and 2021. Ten treatments that comprised of eight promising lines and two checks were replicated three times and laid out in a Randomized Complete Block Design. Gross plot was 36m2 and Net plot was 16m2. Seed Cotton yield, lint yield, plant height, 100 boll weight, Earliness Index, Boll weight and Gin out turn were measured and data was analyzed using Genstat 18th version. Maximum variation as indicated by high values that ranged from 16.4% to 20.1% was observed for Earliness Index, Total Seed Cotton, Plant Height and Lint Yield whilst least variation was recorded for Gin-Out-Turn and 100 seed weight. Mean performance results revealed a yield difference of 539kgha-1 between the highest and the lowest yielding candidate thus 22% yield advantage for 83-01-4 over 820-01-1. Of the seven computed principal components only PC1 and PC2 achieved eigenvalue >1 and contributed about 63.99% of the accumulative variation among the attributes under examination. The study results gave the breeder an option to target parents with strengths in some important traits for use in cotton yield improvement programmes. Key suggestions were also hinted for use in hybridization combinations.
    
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Author Information
  • Department of Agricultural Research, Innovation and Development, Cotton Research Institute, Kadoma, Zimbabwe

  • Department of Agricultural Research, Innovation and Development, Cotton Research Institute, Kadoma, Zimbabwe

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