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Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia

Received: 6 July 2021     Accepted: 15 July 2021     Published: 26 September 2021
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Abstract

Variability, heritability and genetic advance are basic in order to provide information for plant breeding programs. Forty nine upland rice genotypes were tested in 7*7 simple lattice design at Fogera in Wereta station of Adet Agricultural Research Center in 2012/13. The objectives of the study were to estimate the genetic variability, heritability and genetic advance of the genotypes tested. Analysis of variance revealed that there was highly significant difference among the 49 genotypes for all the characters studied. Accessions IR 78937-B-3-B-B-1 and IR 78937-B-3-B-B-2 had the highest yield with a score of 5374.5 kg/ha and 5305.6 kg/ha respectively. The high yielding genotype IR 78937-B-3-B-B-1 had a yield advantage of 57% and 22.2%, respectively, as compared to standard checks Nerica-4 and Hidasie. Phenotypic coefficient of variation (PCV) values ranged from 2.5% for panicle length to 49.98% for number of spikelet per panicle. While the genotypic coefficient of variation (GCV) ranged from 2.4% for panicle length to 47.6% for number of spikelet per panicle. Number of tiller per plant (22.47%), number spikelet per panicle (49.98%), thousand seed weight (25.56%) and yield (23.93%) had higher PCV values. The PCV values for flag leaf length (14.79%), flag leaf width (16.12%), and culm length (16.42%) and number of panicle per plant (16.32%) were medium. Flowering cycle (7.81%), maturation cycle (2.9%), and panicle length (2.5%) had lower PCV values. GCV values were low for flowering cycle (7.21%), maturation cycle (1.82%) and panicle length (2.4%); medium for flag leaf length (14.26%), flag leaf width (15.39%), culm length (15.19%) and number of panicle per plant (15.72%); high for number of tillers per plant (22.18%), yield (23.07%), thousand seed weight (25.18%) and number of spikelet per panicle (47.60%). The high GCV values of these characters suggest that genetic impact is higher and environmental influence is lower. This study generally had indicated that there was significant genetic variability or divergence among the genotypes. Thus, the improvement program of the upland rice genotypes through direct selection rather than a lengthy crossing program is recommended.

Published in Cell Biology (Volume 9, Issue 2)
DOI 10.11648/j.cb.20210902.13
Page(s) 31-36
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), 2021. Published by Science Publishing Group

Keywords

Variability, Heritability, Morphological Traits

References
[1] Abdusalam K., Mohamed I. and Muhammed A. 2009. Estimation of genetic variability and correlation for grain yield components in rice. American-Erusian J. Agri. and environ. sci. 6 (5): 585-590.
[2] Allard R. W. 1960. Principles of Plant Breeding. John Willey and Sons, New York. 485p.
[3] Burton G. W. and de vane E. H. 1953. Estimating heritability in Tall Fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal. 45: 481-487.
[4] Deshmukh S. NS. N., Basu M. S and Reddy P. S. 1986. Genetic varibailty, character association and path coefficient analysis of quantitative traits in Viginia bunch varieties of ground nut. Indian Journal of Agricultural Science 56: 515-518.
[5] IRRI.com reviewed on 20 may 2013.
[6] Johnson H. W., Robinson H. F and Comstock R. E, 1955. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314-318.
[7] Khalid D., Mustafa M., and Husein J. 2012. Genetic variability for yield and related attributes of upland rice genotypes in semi arid zone. African Journal of Agricultural Research Vol. 7 (33): 4613-4619.
[8] Mulugeta Seyoum. 1999. Effect of mineral N and P fertilizers on yield and yield components of flooded lowland rice on vertisols of Fogera plain, Ethiopia. Agri. and rural dev’t. 107: 161-176.
[9] Parikh M, Motiramani N. K, Rastogi N. K. and Sharma B. 2012. agro-morphological characterization and assessment of variability in aromatic rice germplasm. Bangladesh J. Agril. Res. 37 (1): 32-36pp.
[10] Singh B. D. 2001. Plant Breeding: Principles and methods. Kalyani publishers, New Delhi. 896pp.
[11] Veasey E. A., Silva E. F., Schammass E. A., Oliveira G. C. X., Ando A. 2008. Morph- agronomic genetic diversity in American wild rice. Brazilian Archives of Biology Technology. 51: 99-108.
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    Mersha Tezera. (2021). Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia. Cell Biology, 9(2), 31-36. https://doi.org/10.11648/j.cb.20210902.13

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    ACS Style

    Mersha Tezera. Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia. Cell Biol. 2021, 9(2), 31-36. doi: 10.11648/j.cb.20210902.13

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    AMA Style

    Mersha Tezera. Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia. Cell Biol. 2021;9(2):31-36. doi: 10.11648/j.cb.20210902.13

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  • @article{10.11648/j.cb.20210902.13,
      author = {Mersha Tezera},
      title = {Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia},
      journal = {Cell Biology},
      volume = {9},
      number = {2},
      pages = {31-36},
      doi = {10.11648/j.cb.20210902.13},
      url = {https://doi.org/10.11648/j.cb.20210902.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cb.20210902.13},
      abstract = {Variability, heritability and genetic advance are basic in order to provide information for plant breeding programs. Forty nine upland rice genotypes were tested in 7*7 simple lattice design at Fogera in Wereta station of Adet Agricultural Research Center in 2012/13. The objectives of the study were to estimate the genetic variability, heritability and genetic advance of the genotypes tested. Analysis of variance revealed that there was highly significant difference among the 49 genotypes for all the characters studied. Accessions IR 78937-B-3-B-B-1 and IR 78937-B-3-B-B-2 had the highest yield with a score of 5374.5 kg/ha and 5305.6 kg/ha respectively. The high yielding genotype IR 78937-B-3-B-B-1 had a yield advantage of 57% and 22.2%, respectively, as compared to standard checks Nerica-4 and Hidasie. Phenotypic coefficient of variation (PCV) values ranged from 2.5% for panicle length to 49.98% for number of spikelet per panicle. While the genotypic coefficient of variation (GCV) ranged from 2.4% for panicle length to 47.6% for number of spikelet per panicle. Number of tiller per plant (22.47%), number spikelet per panicle (49.98%), thousand seed weight (25.56%) and yield (23.93%) had higher PCV values. The PCV values for flag leaf length (14.79%), flag leaf width (16.12%), and culm length (16.42%) and number of panicle per plant (16.32%) were medium. Flowering cycle (7.81%), maturation cycle (2.9%), and panicle length (2.5%) had lower PCV values. GCV values were low for flowering cycle (7.21%), maturation cycle (1.82%) and panicle length (2.4%); medium for flag leaf length (14.26%), flag leaf width (15.39%), culm length (15.19%) and number of panicle per plant (15.72%); high for number of tillers per plant (22.18%), yield (23.07%), thousand seed weight (25.18%) and number of spikelet per panicle (47.60%). The high GCV values of these characters suggest that genetic impact is higher and environmental influence is lower. This study generally had indicated that there was significant genetic variability or divergence among the genotypes. Thus, the improvement program of the upland rice genotypes through direct selection rather than a lengthy crossing program is recommended.},
     year = {2021}
    }
    

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    T1  - Variability, Heritability and Genetic Advance of Introduced Upland Rice Genotypes at Fogera in North Western Ethiopia
    AU  - Mersha Tezera
    Y1  - 2021/09/26
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    PB  - Science Publishing Group
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    AB  - Variability, heritability and genetic advance are basic in order to provide information for plant breeding programs. Forty nine upland rice genotypes were tested in 7*7 simple lattice design at Fogera in Wereta station of Adet Agricultural Research Center in 2012/13. The objectives of the study were to estimate the genetic variability, heritability and genetic advance of the genotypes tested. Analysis of variance revealed that there was highly significant difference among the 49 genotypes for all the characters studied. Accessions IR 78937-B-3-B-B-1 and IR 78937-B-3-B-B-2 had the highest yield with a score of 5374.5 kg/ha and 5305.6 kg/ha respectively. The high yielding genotype IR 78937-B-3-B-B-1 had a yield advantage of 57% and 22.2%, respectively, as compared to standard checks Nerica-4 and Hidasie. Phenotypic coefficient of variation (PCV) values ranged from 2.5% for panicle length to 49.98% for number of spikelet per panicle. While the genotypic coefficient of variation (GCV) ranged from 2.4% for panicle length to 47.6% for number of spikelet per panicle. Number of tiller per plant (22.47%), number spikelet per panicle (49.98%), thousand seed weight (25.56%) and yield (23.93%) had higher PCV values. The PCV values for flag leaf length (14.79%), flag leaf width (16.12%), and culm length (16.42%) and number of panicle per plant (16.32%) were medium. Flowering cycle (7.81%), maturation cycle (2.9%), and panicle length (2.5%) had lower PCV values. GCV values were low for flowering cycle (7.21%), maturation cycle (1.82%) and panicle length (2.4%); medium for flag leaf length (14.26%), flag leaf width (15.39%), culm length (15.19%) and number of panicle per plant (15.72%); high for number of tillers per plant (22.18%), yield (23.07%), thousand seed weight (25.18%) and number of spikelet per panicle (47.60%). The high GCV values of these characters suggest that genetic impact is higher and environmental influence is lower. This study generally had indicated that there was significant genetic variability or divergence among the genotypes. Thus, the improvement program of the upland rice genotypes through direct selection rather than a lengthy crossing program is recommended.
    VL  - 9
    IS  - 2
    ER  - 

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Author Information
  • Ethiopian Biodiversity Institute, Bahir Dar Biodiversity Center, Bahir Dar, Ethiopia

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