Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (<i>Triticum aestivum </i>L.) Lines in Eastern Ethiopia

Almaz Bedada; Bulti Tesso; Ermias Habte

doi:doi:10.11648/j.jps.20221001.12

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Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia

Almaz Bedada, Bulti Tesso, Ermias Habte

Published in Journal of Plant Sciences (Volume 10, Issue 1)

Received: 2 December 2021 Accepted: 5 January 2022 Published: 12 January 2022

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Abstract

Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.

Published in	Journal of Plant Sciences (Volume 10, Issue 1)
DOI	10.11648/j.jps.20221001.12
Page(s)	12-18
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

Variability, Genetic Advance, Heritability

References

[1]	Adhiena, M. 2015. Genetic variability and association among seed yield and yield related traits in bread wheat (Triticum aestivum L.) Genotypes at OflaDistrict, Northern Ethiopia. M.Sc. Thesis, Haramaya University, Haramaya, Ethiopia.
[2]	Allard, R. W. 1960. Principles of Plant Breeding. John Willey and Sons. Inc. New York. 430p.
[3]	Aremu, O. 2012. Exploring Statistical Tools in Measuring Genetic Diversity for Crop Improvement, Genetic Diversity in Plants, Prof. Mahmut Caliskan (Ed.), ISBN: 978-953-51-0185-7.
[4]	Berhanu Tsegaye, 2014. Growth, yield, and quality of potato (solanim tuberosum L) cultivars as influenced by plant spacing at Haramayaan Hirna, estern Ethiopia. An MSc Thesis Presented to the School of Graduate Studies of Haramaya University, Ethiopia.
[5]	Burton, G. and Devane, E. 1953. Estimating heritability in tall fescua (Festucaavundinacea) from replicated clonal material. Agronomy Journal 45: 487-488.
[6]	Cochran, W. G., and G. M. Cox, 1957. Experimental Designs. 2^nded. John Wiley and Sons, New York.
[7]	Degewione A., Dejene T. and Sharif M. (2013). Genetic variability and traits association in bread wheat (Triticum aestivum L.) genotypes. International Research Journal of Agricultural Sciences, 1 (2): 19-29.
[8]	Dergicho, D., Sentayehu, A., Firdisa, E., Gezahegn, F. 2015. Genetic Variability in Bread Wheat (Triticum aestivum L.) Germplasm for Yield and Yield Component Traits. Journal of Biology, Agriculture and Healthcare Vol. 5, No. 13, 2015.
[9]	Desalegn Negasa and Dinesh Kumar. 2016. Variability, Heritability and Genetic Advances in Wheat (Triticum aestivum L) Breeding lines grown at Horro GuduruWollega Zone, Western Ethiopia. International Journal of Advanced Scientific Research and Management, Vol. 1.
[10]	Falconer, D. S. and Mackay, T. F. C. 1990. Introduction to Quantitative Genetics. 4th ed. Longman, Susex, England.
[11]	FAO (Food and Agriculture Organization of the United Nations). 2016. FAOSTAT: production crop. 2015 data.
[12]	GAIN (Global Agricultural Information Network). 2014. Report: ET1401, Addis Ababa: USDA.
[13]	Gomez K. and Gomez, A. 1984. Statistical Procedures for Agricultural Research 2^nded. AWiley Interscience Publication. John Wiley & Sons. New York.
[14]	Johnson, H. W., Robinson, H. F. and Comstock, R. E. 1955a. Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314-318.
[15]	Kalimullah, S. J., Khan, M., Irfaq and Rahman, H. U. 2012. Genetic variability, correlation, and diversity studies in bread wheat.germplasm. The Journal of Animal & Plant Sciences, 22 (2), Page: 330-333, ISSN: 1018-7081, Page: 330-333 ISSN: 1018-7081, Khan, Pakistan.
[16]	Khan, A. J., Azam, F. and Ali, A., 2010. Relationship of morphological traits and grain yield in recombinant inbred wheat lines grown under drought conditions. Pakistan Journal of Botany, 42 (1): 259-267.
[17]	Kifle, Zerga., Firew, Mekbib., Tadesse, Dessalegn. (2016). Estimation of association among growth and yield related traits in Bread Wheat (Triticum aestivum. L) Genotypes at Gurage Zone, Ethiopia. International Journal of Plant Breeding and Crop Science, 3 (2): 123-134.
[18]	Kotal, B. D., Das, A., and Choudhury, B. K. 2010. Genetic variability and association of characters in wheat (Triticumaestivum L.). Asian journal of crop science, 2 (3): 155-160.
[19]	Kumar, B., Singh, C. M. and Jaiswal, K. K. 2013. Genetic variability, association and diversity studies in bread wheat (Triticumaestivum L.). An international quarterly journal of life science. The Bioscan, 8 (1): 143-147.
[20]	Kumar, N., Markar, S., Kumar, V. 2014. Studies on heritability and genetic advance estimates in timely sown bread wheat (Triticum aestivum L.). Bioscience Discovery, 5 (1): 64-69.
[21]	Mollasadeghi, V., Elyasi, S. and Mirzamasoumzadeh, B. 2012. Genetic variation of 12 bread wheat genotypes based on number of phonological and morphological traits. Annals of Biological Research, 3 (10): 4734-4740.
[22]	Obsa Chimdesa. 2014. Genetic Variability Among Bread Wheat (Triticum aestivum L.) Genotypes for Growth Characters, Yield and Yield Components in Bore District, Oromia Regional State. An MSc Thesis Presented to the School of Graduate Studies of Haramaya University, Ethiopia.
[23]	Ranjana and Suresh Kumar. 2013. Study of genetic variability and heritability over extended dates of sowing in bread wheat (Triticumaestivum L.). Research in Plant Biology, 3 (1): 33-36.
[24]	Dabi, A., Mekbib, F. and Desalegn, T., 2019. Genetic variability studies on bread wheat (Triticum aestivum L.) genotypes. Journal of Plant Breeding and Crop Science, 11 (2), pp. 41-54.
[25]	Destaw Mullualem Atinafu, Shiferaw Alemu Alayachew and Kifle Zerga Heterat, 2020. Study of Genetic Variability in Some Bread Wheat Accessions (Triticum aestivum L.) in Gurage Zone, Ethiopia. Asian Journal of Biological Sciences, 13: 309-317.
[26]	Endashaw Girma Seyoum, Alemnesh Sisay, Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.), Advances in Bioscience and Bioengineering. Vol. 9, No. 3, 2021, pp. 81-86. doi: 10.11648/j.abb.20210903.13.
[27]	Degife G; Mohammed W; Assefa k (2019). Genetic Variability Analysis of Agro-Morphological Traits among Bread Wheat (Triticum aestivum L.) Genotypes at Raya Valley of Southern Tigray, Ethiopia. Greener Journal of Agricultural Sciences 9 (4): 382-395, https://doi.org/10.15580/GJAS.2019.4.090219165.

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APA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. (2022). Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. Journal of Plant Sciences, 10(1), 12-18. https://doi.org/10.11648/j.jps.20221001.12

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ACS Style

Almaz Bedada; Bulti Tesso; Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J. Plant Sci. 2022, 10(1), 12-18. doi: 10.11648/j.jps.20221001.12

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AMA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J Plant Sci. 2022;10(1):12-18. doi: 10.11648/j.jps.20221001.12

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@article{10.11648/j.jps.20221001.12,
  author = {Almaz Bedada and Bulti Tesso and Ermias Habte},
  title = {Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {1},
  pages = {12-18},
  doi = {10.11648/j.jps.20221001.12},
  url = {https://doi.org/10.11648/j.jps.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221001.12},
  abstract = {Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia
AU  - Almaz Bedada
AU  - Bulti Tesso
AU  - Ermias Habte
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221001.12
DO  - 10.11648/j.jps.20221001.12
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 12
EP  - 18
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221001.12
AB  - Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.
VL  - 10
IS  - 1
ER  -

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Author Information

Almaz Bedada

Plant Science Department, School of Agriculture, Ambo University, Ambo, Ethiopia
Bulti Tesso

Plant Science Department, College of Agricultural and Environmental Science, Haramaya University, Dire Dewa, Ethiopia
Ermias Habte

International Livestock Research Institute, Addis Ababa, Ethiopia

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APA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. (2022). Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. Journal of Plant Sciences, 10(1), 12-18. https://doi.org/10.11648/j.jps.20221001.12

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ACS Style

Almaz Bedada; Bulti Tesso; Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J. Plant Sci. 2022, 10(1), 12-18. doi: 10.11648/j.jps.20221001.12

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AMA Style

Almaz Bedada, Bulti Tesso, Ermias Habte. Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia. J Plant Sci. 2022;10(1):12-18. doi: 10.11648/j.jps.20221001.12

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@article{10.11648/j.jps.20221001.12,
  author = {Almaz Bedada and Bulti Tesso and Ermias Habte},
  title = {Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia},
  journal = {Journal of Plant Sciences},
  volume = {10},
  number = {1},
  pages = {12-18},
  doi = {10.11648/j.jps.20221001.12},
  url = {https://doi.org/10.11648/j.jps.20221001.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20221001.12},
  abstract = {Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.},
 year = {2022}
}

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TY  - JOUR
T1  - Genetic Variability for Yield and Yield Related Traits in Advanced Bread Wheat (Triticum aestivum L.) Lines in Eastern Ethiopia
AU  - Almaz Bedada
AU  - Bulti Tesso
AU  - Ermias Habte
Y1  - 2022/01/12
PY  - 2022
N1  - https://doi.org/10.11648/j.jps.20221001.12
DO  - 10.11648/j.jps.20221001.12
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 12
EP  - 18
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20221001.12
AB  - Developing high yielding bread wheat genotypes with superior agronomic trait requires understanding the extent of genetic variability in existing germplasm. The current study was designed to generate information on genetic variability and inheritance of yield and its component traits using 36 advanced bread wheat lines. Field experiment was conducted in 2018 cropping season at Haramaya and Hirna in eastern Ethiopia using triple lattice design. Fifteen quantitative traits were measured and subjected to analysis of variance and genetic analyses. Analysis of variance revealed that there was highly significant difference among genotypes for all quantitative traits at both locations. The lowest and the highest phenotypic (PCV) and genotypic (GCV) values were obtained for hectoliter weight and number of fertile tillers per plant, respectively at both locations. Heritability in broad sense and genetic advance as percent of mean ranged from 39.1% (number of kernels per spike) to 90.1% (days to heading), and from 2.4% (hectoliter weight) to 48.5% (number of fertile tillers), respectively at Haramaya. At Hirna, these parameters ranged from 29.3% (hectoliter weight) to 91.9% (grain yield), and from 1.5% (hectoliter weight) to 27.6% (total tillers per plant), respectively. high heritability coupled with high genetic advance as percent of mean was observed for total number of tillers per plant, number of fertile tillers per plant, grain yield per hectare, and above ground biomass per hectare at Haramaya. and for spike length, total number of tiller per plant, number of fertile tiller per plant, grain yield per hectare, and above ground biomass per hectare at Hirna. This indicates that improvement of these traits through selection is easier than other traits measured.
VL  - 10
IS  - 1
ER  -

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