Wheat (Triticum aestivum L.) is a high-yielding crop with a wide range of adaptability, and it is the world's and Ethiopia's principal source of food. In Ethiopia, however, wheat productivity has increased in recent years. Due to abiotic like heat, drought, frost and others and biotic like rusts (Stem, yellow and leaf), Septoria, fusarium and others causes, it is still quite low when compared to other wheat-producing countries. The objectives were to test variability of genotypic and phenotypic and also heritability and genetic advance in bread wheat genotypes. Hence, in this studied conducted on 30 bread wheat genotypes of yield and associated traits was assessed. A trial was undertaken Holetta in Ethiopia in 2018/19 cropping season. The materials were tested using a three-replication alpha lattice pattern. Data on yield and associated traits were analyzed using SAS versions 9.3 software. The heritability estimates for 1000 kernel weight were found to be very high, at 81.14 percent. The trait 1000 kernel weight was also shown to have a high heritability couple with a high genetic advance as a percentage of the mean. So it concluded that 1000 kernel weight may be targeted as the selection criteria for the grain yield improvement However, further study needs to be conducted the future bread wheat breeding effort should be focus on varietal development.
Published in | Advances in Bioscience and Bioengineering (Volume 9, Issue 3) |
DOI | 10.11648/j.abb.20210903.13 |
Page(s) | 81-86 |
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 |
Bread Wheat, Heritability, Genetic Advance
[1] | Adhiena, M., Wassu, M. and Taddesse, D., 2016. Estimation of heritability and genetic advance of yield and yield related traits in bread wheat (Triticum aestivum L.) genotypes at Ofla District, Northern Ethiopia. International Journal of Plant Breeding and Genetics, 10 (1), pp. 31-37. |
[2] | Ali, Y., Atta, B. M., Akhter, J., Monneveux, P. and Lateef, Z., 2008. Genetic variability, association and diversity studies in wheat (Triticum aestivum L.) germplasm. Pak. J. Bot, 40 (5), pp. 2087-2097. |
[3] | Allard, R. W., 1960. Principles of plant breeding. John Willey and Sons. Inc. New York, 485. |
[4] | Awale, D. Takele, D. and, Mohammed, Sh. 2013. Genetic variability and traits association in bread wheat (Triticum aestivum L.) genotypes. International Research Journal of Agricultural Sciences, 1 (2): 19–29. |
[5] | Bayisa, T., Tefera, H. and Letta, T., 2020. Genetic variability, heritability and genetic advance among bread wheat genotypes at Southeastern Ethiopia. Agriculture, Forestry and Fisheries, 9 (4), p. 128. |
[6] | Bekele H, Verkuiji W, Mawangi T. (2000). Adaptation of improved heat technologies in Addaba and Doddola Worede’s of the Bale highlands of Ethiopia. CIMMYT/EARO, Addis Ababa, Ethiopia. |
[7] | Bezabeh E. (2015). Change and growth rate analysis in area, yield and production of wheat in Ethiopia. Research Journal of Agriculture and Environmental Management. 4 (4), 189-191. |
[8] | Bhushan, B., Gaurav, S. S., Kumar, R., Pal, R., Panday, M., Kumar, A., Bharti, S., Nagar, S. S. and Rahul, V. P., 2013. Genetic variability, heritability and genetic advance in bread wheat (Triticum aestivum L.). Environment & Ecology, 31 (2), pp. 405-407. |
[9] | Burton, G. W., and Devane, E. H., 1953. Estimating heritability in tall fescue from Replicated clone natural materials. Agronomy Journal, 45: 171-181. |
[10] | Clarke, F. R., Clarke, J. M., Ames, N. A., Knox, R. E. and Ross, R. J., 2010. Gluten index compared with SDS-sedimentation volume for early generation selection for gluten strength in durum wheat. Canadian Journal of Plant Science, 90 (1), pp. 1-11. |
[11] | 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. |
[12] | Dargicho, D., Sentayehu, A., Firdisa, E. and Ermias, A., 2015. Genetic variability in bread wheat (Triticum aestivum L.) germplasm for yield and yield component traits. Journal of Biology, Agriculture and Healthcare, 5 (17), pp. 140-147. |
[13] | Deshmukh, S. N., Basu, M. S. and Reddy, P. S., 1986. Genetic variability, character association and path coefficients of quantitative traits in Virginia bunch varieties of groundnut. Indian Journal of Agricultural Sciences. |
[14] | Delta M, Shiferaw A and Zerga, 2020. Study of genetic variability in some bread wheat accessions (Triticum aestivum L.) in Gurage zone, Ethiopia. Asian J. Biol. Sci., 13: 309-317. |
[15] | Falconer, D. S. (1981). Introduction to quantitative genetics. Ed. 2. Longmans Green, London/ New York. |
[16] | Falconer, D. S., Mackay, T. F. and Frankham, R., 1996. Introduction to quantitative genetics: trends in genetics. Harlow: Longman Frankel, 12 (7), p. 280. |
[17] | FAOSTAT. (2018). FAOSTAT statistical database Accessed 16 July 2018. www.fao.org/faostat/. |
[18] | Fikre, G., Alamerew, S. and Taddesse, Z., 2015. Genetic variability studies in bread wheat (Triticum aestivum L.) genotypes at Kulumsa agricultural research center, south east Ethiopia. |
[19] | Gezahegn, F., Sentayehu, A. and Zerihun, T., 2015. Genetic Variability Studies in Bread Wheat (Triticum aestivum L.) Genotypes at Kulumsa Agricultural Research Center, South East Ethiopia. Journal of Biology, Agriculture and Health care, 5 (7): 89-98. |
[20] | Hamdi, A., Ghareib, A. A., Shafey, S. A. and Ibrahim, M. A. M., 2003. Genetic variability, heritability and expected genetic advance for earliness and seed yield from selection in lentil. Egyptian Journal of Agricultural Research, 81: 125-138. |
[21] | Johnson, H. W., Robinson, H. F. and Comstock, R. E., 1955. Estimates of genetic and environmental variability in soybeans 1. Agronomy journal, 47 (7), pp. 314-318. |
[22] | Letta T., 2013. Association mapping reveals novel stem rust resistance loci in durum wheat at the seedling stage. The Plant Genome: doi: 10.3835/plant genome, 2013. 08.00. |
[23] | Majumder, D. A. N., Shams Uddin, A. K. M., Kabir, M. A. and Hassan, L. 2008. Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat. Journal of Bangladesh Agricultural University, 6 (2): 227–234. |
[24] | Mecha, B., Alamerew, S., Assefa, A., Dutamo, D. and Assefa, E., 2016. Correlation and path coefficient studies of yield and yield associated traits in bread wheat (Triticum aestivum L.) genotypes. Adv. Plants Agric Res, 6 (5), pp. 1-10. |
[25] | Meles, B., Mohammed, W. and Tsehaye, Y., 2017. Genetic variability, correlation and path analysis of yield and grain quality traits in bread wheat (Tritium aestivum L.) genotypes at Axum, Northern Ethiopia. Journal of plant breeding and crop science, 9 (10), pp. 175-185. |
[26] | Muhder, N., Gessese, M. K. and Sorsa, Z., 2020. Assessment of genetic variability among agronomic traits and grain protein content of elite bread wheat (Triticum aestivum L.) genotypes in the central highlands of Ethiopia. Asian J. Agric. Res., 14: 1-12. |
[27] | Obsa, Ch. Wassu, W. and Firdissa, E., 2017. Analysis of Genetic Variability among Bread Wheat (Triticum aestivum L.) Genotypes for Growth, Yield and Yield Components in Bore District, Oromia Regional State. Agriculture, Forestry and Fisheries, 6 (6): 188 - 199. |
[28] | Pachauri, P., Kandalkar, V. S. and Satankar, N., 2018. Analysis of genetic variability and path coefficient for yield and yield contributing traits in cultivated and synthetic wheat and their interspecific crosses. Journal of Pharmacognosy and Phytochemistry, 7, pp. 83-87. |
[29] | Raia, P. K., Sarkara, U. K., Islamb, A. S., Bahaman, M. A. and Hasan. M., 2016. Genetic study and selection in the F4 generation of rice (Oryza. sativa L.). Journal of Bioscience and Agriculture Research, 9 (01): 768-774. |
[30] | SAS. 2012. Statistical analysis system, version 9.3 editions. SAS Institute Inc. Cary, NC. |
[31] | Sears ER. (1966). Nullisomic tetratomic combinations in wheat. In: R Riley, KR Lewis, eds. Chromosome Manipulation and Plant Genetics. Oliver and Boyd, Edinburgh. pp 29-45. |
[32] | Shukla, S., Bhargava, A., Chatterjee, A. and Singh, S. P., 2004. Estimates of genetic parameters to determine variability for foliage yield and its different quantitative and qualitative traits in vegetable amaranth (A. tricolor) [India]. Journal of Genetics and Breeding (Italy), 58, 169-176. |
[33] | Singh, B., 2001. Plant Breeding: Principles and Methods, 6th ed., Kalyani Publishers, New Delhi, India. |
[34] | Tamene, T. Keneni, G. and Mohammad, H., 2015. Genetic progresses from over three decades of faba bean ('Vicia faba L.) breeding in Ethiopia. Australian Journal of Crop Science, 9 (1), pp. 41-48. |
[35] | Taneva, K., Bozhanova, V., & Petrova, I. (2019). Variability, heritability and genetic advance of some grain quality traits and grain yield in durum wheat genotypes. Bulgarian Journal of Agricultural Science, 25 (2), 288–295. |
[36] | Ullah, K., Khan, S. J., Muhammad, M. I. T. and Muhammad, S., 2011. Genotypic and phenotypic variability, heritability and genetic diversity for yield components in bread wheat (Triticum aestivum L.) germplasm. African Journal of Agricultural Research, 6 (23), pp. 5204-5207. |
[37] | Zecevic, V., Knezevic, D., Micanovic, D., Urosevic, D., Dimitrijevic, B. and Urosevic, V., 2001. Components of variance and heritability of quality parameters in wheat cultivars. Genetika, 13 (3), pp. 77-84. |
[38] | Zerga, K., Mekbib, F. and Desalegn, T., 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), pp. 123-134. |
APA Style
Endashaw Girma Seyoum, Alemnesh Sisay. (2021). Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.). Advances in Bioscience and Bioengineering, 9(3), 81-86. https://doi.org/10.11648/j.abb.20210903.13
ACS Style
Endashaw Girma Seyoum; Alemnesh Sisay. Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.). Adv. BioSci. Bioeng. 2021, 9(3), 81-86. doi: 10.11648/j.abb.20210903.13
AMA Style
Endashaw Girma Seyoum, Alemnesh Sisay. Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.). Adv BioSci Bioeng. 2021;9(3):81-86. doi: 10.11648/j.abb.20210903.13
@article{10.11648/j.abb.20210903.13, author = {Endashaw Girma Seyoum and Alemnesh Sisay}, title = {Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.)}, journal = {Advances in Bioscience and Bioengineering}, volume = {9}, number = {3}, pages = {81-86}, doi = {10.11648/j.abb.20210903.13}, url = {https://doi.org/10.11648/j.abb.20210903.13}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.abb.20210903.13}, abstract = {Wheat (Triticum aestivum L.) is a high-yielding crop with a wide range of adaptability, and it is the world's and Ethiopia's principal source of food. In Ethiopia, however, wheat productivity has increased in recent years. Due to abiotic like heat, drought, frost and others and biotic like rusts (Stem, yellow and leaf), Septoria, fusarium and others causes, it is still quite low when compared to other wheat-producing countries. The objectives were to test variability of genotypic and phenotypic and also heritability and genetic advance in bread wheat genotypes. Hence, in this studied conducted on 30 bread wheat genotypes of yield and associated traits was assessed. A trial was undertaken Holetta in Ethiopia in 2018/19 cropping season. The materials were tested using a three-replication alpha lattice pattern. Data on yield and associated traits were analyzed using SAS versions 9.3 software. The heritability estimates for 1000 kernel weight were found to be very high, at 81.14 percent. The trait 1000 kernel weight was also shown to have a high heritability couple with a high genetic advance as a percentage of the mean. So it concluded that 1000 kernel weight may be targeted as the selection criteria for the grain yield improvement However, further study needs to be conducted the future bread wheat breeding effort should be focus on varietal development.}, year = {2021} }
TY - JOUR T1 - Genetic Variability, Heritability and Genetic Advance Study in Bread Wheat Genotypes (Triticum aestivum L.) AU - Endashaw Girma Seyoum AU - Alemnesh Sisay Y1 - 2021/08/26 PY - 2021 N1 - https://doi.org/10.11648/j.abb.20210903.13 DO - 10.11648/j.abb.20210903.13 T2 - Advances in Bioscience and Bioengineering JF - Advances in Bioscience and Bioengineering JO - Advances in Bioscience and Bioengineering SP - 81 EP - 86 PB - Science Publishing Group SN - 2330-4162 UR - https://doi.org/10.11648/j.abb.20210903.13 AB - Wheat (Triticum aestivum L.) is a high-yielding crop with a wide range of adaptability, and it is the world's and Ethiopia's principal source of food. In Ethiopia, however, wheat productivity has increased in recent years. Due to abiotic like heat, drought, frost and others and biotic like rusts (Stem, yellow and leaf), Septoria, fusarium and others causes, it is still quite low when compared to other wheat-producing countries. The objectives were to test variability of genotypic and phenotypic and also heritability and genetic advance in bread wheat genotypes. Hence, in this studied conducted on 30 bread wheat genotypes of yield and associated traits was assessed. A trial was undertaken Holetta in Ethiopia in 2018/19 cropping season. The materials were tested using a three-replication alpha lattice pattern. Data on yield and associated traits were analyzed using SAS versions 9.3 software. The heritability estimates for 1000 kernel weight were found to be very high, at 81.14 percent. The trait 1000 kernel weight was also shown to have a high heritability couple with a high genetic advance as a percentage of the mean. So it concluded that 1000 kernel weight may be targeted as the selection criteria for the grain yield improvement However, further study needs to be conducted the future bread wheat breeding effort should be focus on varietal development. VL - 9 IS - 3 ER -