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Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes

Published in Plant (Volume 11, Issue 4)
Received: 27 October 2023    Accepted: 10 November 2023    Published: 21 November 2023
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Abstract

Study of genetic variability is crucial in plant breeding to find traits of interest in genetic resources for any crop improvement. The present study was carried out using 36 genotypes including two checks to evaluate the mean performance of the genotypes, to examine the genetic variability, heritability, expected genetic advance and genetic advance as percent of mean. All the thirty six genotypes were tested using simple lattice design at Holeta Agricultural Research Center during 2018/2019. Observations were recorded on plot basis for days to flowering (days), days to maturity (days), yield per plot (g), yield per hectare(kg), oil yield (kg), oil content (%) and thousand seed weight (g) and on plot basis for plant height (cm). Analysis of variance revealed the significant differences among the tested genotypes for all traits considered. The phenotypic coefficient of variation observed in this study was higher than the genotypic coefficient of variation for all traits considered implying that high influence of environment on those traits. High phenotypic coefficient of variation was observed for all traits and moderate genotypic coefficients of variation recorded by seed yield per hectare, seed yield per plot and oil yield per plot. Low genotypic coefficient of variation was recorded by days to flowering, days to maturity, oil content, thousand seed weight and plant height. The study of genetic advance in this experiment showed high genetic advance for all traits except thousand seed weight which recorded low genetic advance.

Published in Plant (Volume 11, Issue 4)
DOI 10.11648/j.plant.20231104.13
Page(s) 130-134
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

Genetic Variability, Heritability, Genetic Advance, Oilseed Brassica

References
[1] Alemayehu H, Becker H (2002). Genotypic diversity and patterns of variation in a germplasm material of Ethiopian mustard (Brassica carinata A. Braun). Genet. Resour. Crop Evol. 49 (6): 573–58.
[2] Mulvaney, M. J.; Leon, R. G.; Seepaul, R.; Wright, D. L.; Ho_man, T. L. Brassica carinata Seeding Rate and RowSpacing E_ects on Morphology, Yield, and Oil. Agron. J. 2019, 111, 528–535. [CrossRef]
[3] Seepaul, R.; Bliss, C. M.; Wright, D. L.; Marois, J. J.; Leon, R.; Dufault, N.; Olson, S. M. Carinata, the Jet FuelCover Crop: Production Recommendations for the Southeastern United States. 2016. Available online:http://edis.ifas.ufl.edu.
[4] Fiorentino, G.; Ripa, M.; Mellino, S.; Fahd, S.; Ulgiati, S. Life cycle assessment of Brassica carinata biomass conversion to bioenergy and platform chemicals. J. Clean. Prod. 2014, 66, 174–187. [CrossRef]
[5] Taylor, D.; Kevin, C.; Falk, C.; Don, P.; Joe, H.; Vivijan, B.; Elzbieta, M.; Ashok, J.; Elizabeth-France, M.; Tammy, F.; et al. Brassica carinata—A new molecular farming platform for delivering bio-industrial oilfeedstocks: Case studies of genetic modifi cations to improve very long-chain fatty acid and oil content inseeds David. Biofuels Bioprod. Biorefining 2010, 4, 538–561. [CrossRef]
[6] Tesfaye W, Adugna W, Tsige G. (2011). Genetic Variability and character associations of Ethiopian mustard (Brassica Carinata A. Braun.) genotypes in Northwestern Ethiopia. 7-9.
[7] Mulualem T, Welde Michael G (2013). Study on genotypic variability estimates and interrelationship of agronomic traits for selection of taro (Colocasia esculenta (L.) Schott) in Ethiopia. Sky J Agric Res. 2: 154-158.
[8] Ousman Yimer, Wassu Mohammed and Endale Teju 2021. Genetic Variability, Heritability and Genetic Advance in Ethiopian Mustard (Brassica carinata A. Braun) Accesions for Nutritional Quality Traits. Asian Journal of Plant Science and Research, 11 (4): 134-138.
[9] Abdeta TM (2022). Genetic variability and heritability in Ethiopian mustard (Brassica carinata A.braun). IRJPS.13: 002.
[10] SAS Institute. (2014). SAS/STAT guide for personal computers, version 9.3 edition. AS Institute Inc., Cary, NC.
[11] Burton, G. W. and E. H. Devane. 1953. Estimating heritability in tall Fescue (Festuca arudanacea) from replicated clonal material. Agron. J. 45 (10): 478-481.
[12] Siva Subramanian, S. and Menon, N. 1973. Heterosis and inbreeding depression Genet. 17: 381-387.
[13] Falconer, D. S and T. F. C. Mackay. 1996. Introduction to Quantitative Genetics (4th Ed.) Longman, Essex, UK. French, R. T. 1977. Oriental and brown mustard seed production. Techniques Bulletin. 2: 1-2.
[14] Johnson, R. W., Robinson, H. F. and Comstock, RE., 1955. Estimates of genetic and environmental variability in soybeans. Agron. J. 47: 314-318.
[15] Singh RK, Chaudhary BD (1985). Biometrical Methods in Quantitative Analysis. New Delhi, India: Kalayani Publishers.
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  • APA Style

    Abu, M., Doda, A. (2023). Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes. Plant, 11(4), 130-134. https://doi.org/10.11648/j.plant.20231104.13

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    ACS Style

    Abu, M.; Doda, A. Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes. Plant. 2023, 11(4), 130-134. doi: 10.11648/j.plant.20231104.13

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    AMA Style

    Abu M, Doda A. Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes. Plant. 2023;11(4):130-134. doi: 10.11648/j.plant.20231104.13

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  • @article{10.11648/j.plant.20231104.13,
      author = {Mohammed Abu and Alemu Doda},
      title = {Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes},
      journal = {Plant},
      volume = {11},
      number = {4},
      pages = {130-134},
      doi = {10.11648/j.plant.20231104.13},
      url = {https://doi.org/10.11648/j.plant.20231104.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.plant.20231104.13},
      abstract = {Study of genetic variability is crucial in plant breeding to find traits of interest in genetic resources for any crop improvement. The present study was carried out using 36 genotypes including two checks to evaluate the mean performance of the genotypes, to examine the genetic variability, heritability, expected genetic advance and genetic advance as percent of mean. All the thirty six genotypes were tested using simple lattice design at Holeta Agricultural Research Center during 2018/2019. Observations were recorded on plot basis for days to flowering (days), days to maturity (days), yield per plot (g), yield per hectare(kg), oil yield (kg), oil content (%) and thousand seed weight (g) and on plot basis for plant height (cm). Analysis of variance revealed the significant differences among the tested genotypes for all traits considered. The phenotypic coefficient of variation observed in this study was higher than the genotypic coefficient of variation for all traits considered implying that high influence of environment on those traits. High phenotypic coefficient of variation was observed for all traits and moderate genotypic coefficients of variation recorded by seed yield per hectare, seed yield per plot and oil yield per plot. Low genotypic coefficient of variation was recorded by days to flowering, days to maturity, oil content, thousand seed weight and plant height. The study of genetic advance in this experiment showed high genetic advance for all traits except thousand seed weight which recorded low genetic advance.
    },
     year = {2023}
    }
    

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    T1  - Mean Performance Evaluation and Variability Estimation in Ethiopian Mustard (Brassica Carinata A Braun) Genotypes
    AU  - Mohammed Abu
    AU  - Alemu Doda
    Y1  - 2023/11/21
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    N1  - https://doi.org/10.11648/j.plant.20231104.13
    DO  - 10.11648/j.plant.20231104.13
    T2  - Plant
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    JO  - Plant
    SP  - 130
    EP  - 134
    PB  - Science Publishing Group
    SN  - 2331-0677
    UR  - https://doi.org/10.11648/j.plant.20231104.13
    AB  - Study of genetic variability is crucial in plant breeding to find traits of interest in genetic resources for any crop improvement. The present study was carried out using 36 genotypes including two checks to evaluate the mean performance of the genotypes, to examine the genetic variability, heritability, expected genetic advance and genetic advance as percent of mean. All the thirty six genotypes were tested using simple lattice design at Holeta Agricultural Research Center during 2018/2019. Observations were recorded on plot basis for days to flowering (days), days to maturity (days), yield per plot (g), yield per hectare(kg), oil yield (kg), oil content (%) and thousand seed weight (g) and on plot basis for plant height (cm). Analysis of variance revealed the significant differences among the tested genotypes for all traits considered. The phenotypic coefficient of variation observed in this study was higher than the genotypic coefficient of variation for all traits considered implying that high influence of environment on those traits. High phenotypic coefficient of variation was observed for all traits and moderate genotypic coefficients of variation recorded by seed yield per hectare, seed yield per plot and oil yield per plot. Low genotypic coefficient of variation was recorded by days to flowering, days to maturity, oil content, thousand seed weight and plant height. The study of genetic advance in this experiment showed high genetic advance for all traits except thousand seed weight which recorded low genetic advance.
    
    VL  - 11
    IS  - 4
    ER  - 

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Author Information
  • Ethiopian Institute of Agricultural Research, Holeta Agricultural Research Center, Holetta, Ethiopia

  • Ethiopian Institute of Agricultural Research, Kulumsa Agricultural Research Center, Asella, Ethiopia

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