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
Volume 6, Issue 6, December 2017, Pages: 188-199
Received: Apr. 19, 2017; Accepted: Aug. 30, 2017; Published: Oct. 17, 2017
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Authors
Obsa Chimdesa, Oromia Agricultural Research Institute Bore Agricultural Research Center, Bore, Ethiopia
Wassu Mohammed, College of Agriculture and Environmental Sciences, School of Graduate Studies, Haramaya University, Dire Dawa, Ethiopia
Firdissa Eticha, Ethiopia Agricultural Research Institute, Kulumsa Agricultural Research Centre, Asella, Ethiopia
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Abstract
In Ethiopia, a number of improved bread wheat (Triticum aestivum L.) varieties have been released by different research centres. All of these varieties were, however, not evaluated in Bore District for growth, yield and yield components which are necessary for identification of adaptable varieties for this major wheat growing District. Field experiments was conducted in 2013/14 cropping season by utilizing 21 released varieties and 4 promising lines using Randomized Complete Block Design where genotypes were replicated three times and 14 characters were recorded. Results of the analysis of variance revealed that genotypes were differed significantly for all characters studied. Genotypic coefficient of variation (GCV) ranged from 4.59 (days to maturity) to 13.76% (grain yield per hectare), while phenotypic coefficient of variation (PCV) ranged between 5.03 (days to maturity) to 20.85% (grain yield per hectare). Heritability in broad sense and genetic advance as percent of mean (GAM) ranged from 33.33% (Tillers per plant) to 84.67% (Peduncle length) and 8.66% (Days to maturity) to 18.74% (grain yield per hectare), respectively. Grain yield per hectare was positively correlated with biological yield per plot and harvest index, but was negatively correlated with peduncle length both at genotypic and phenotypic level. The computed path coefficient for yield showed that days to maturity, number of productive tillers, and biological yield per plot, harvest index, and spike length had positive direct effect, while days to heading and grain filling period, had high negative direct effect at both genotypic and phenotypic levels. Generally, it has been observed the presence of variability among the genotypes studied and 18.74% grain yield gain is possible by exerting 5% selection intensity which can be exploited to improve yield in the District.
Keywords
Bread Wheat, Genetic Variability, GCV, PCV, Heritability, Path Coefficient, Yield Component
To cite this article
Obsa Chimdesa, Wassu Mohammed, Firdissa Eticha, 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. Vol. 6, No. 6, 2017, pp. 188-199. doi: 10.11648/j.aff.20170606.12
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Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
[1]
Khabiri E., Imani A. A., and Shahbazi H. 2012. Studying the grain yield and yield components in advanced rain fed wheat genotypes. Scholars Research Library. Annals of Biological Research, 3 (12): 5647-5650.
[2]
Reeves, T. G., S. Rajaram, M. van Ginkel, R. Trethowan, H. J. Braun and K. Cassaday, 1999. New Wheat’s for a Secure, Sustainable Future. Mexico, D. F. CIMMYT.
[3]
USAID (United States Agency for International Development), 2013. Feed the future food security innovation center. Accessed on March, 2014. Web site: http://www.feedthefuture.gov/research.
[4]
FAO (Food and Agriculture Organization of the United Nations), 2011. FAOSTAT: World Crop production data. Accessed on 16 December, 2014. Available at: (http://www.faostat.fao.org/site
[5]
CSA (Central Statistical Agency), 2012. Crop production forecast sample survey, 2012/13. Report on Area and Crop Production forecast for Major Crops (for private Peasant Holdings ‘Meher’ season). Addis Ababa, Ethiopia.
[6]
Alemayehu Hailu Welderufael, Getaneh Woldeab Wolderufael, Woubit Dawit Bedane, Endale Hailu Abera. Evaluation of Bread Wheat Varieties to Dominant Races of Stem Rust (Puccinia Graminis f. sp. Tritici) Pathogen. Science Innovation. Vol. 3, No. 6, 2015, pp. 121-126. doi: 10.11648/j.si.20150306.20
[7]
Tolessa Taye, Chemada Fininsa, Getaneh Woldeab. Importance of Wheat Stem Rust (Puccinia Graminis F. Sp. Tritici) in Guji Zone, Southern Ethiopia. Plant. Vol. 2, No. 1, 2013, pp. 1-5. doi: 10.11648/j.plant.20140201.11
[8]
Ministry of Agriculture, 2011. Animal and plant Health Regulatory Directorate. Crop variety Register Issue No. 14. Addis Ababa, Ethiopia.
[9]
Gomez, K. A. and A. A. Gomez. 1984. Statistical Procedures for Agricultural Research, 2nd edit. John Wiley and Sons, New York.
[10]
Burton, G. W. and E. H. Devane, 1953. Estimating heritability in Tall Fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal 45: 487-488.
[11]
Johnson, H. W., Robinson, H. F., and Comstock, R. E., 1955. Genotypic and phenotypic correlations and their implication in selection. Agronomy Journal 47: 477-483.
[12]
Allard, R. W., 1960. Principles of Plant Breeding. John Wiley and Sons. Inc. New York.
[13]
Miller, P. A., J. C, Williams, H. F., Robinson and R. E., Comstock, 1958. Estimates genotypic and environmental variances and covariances in upland cotton and their implications in selection. Agronomic Journal, 50: 126-131.
[14]
Robertson, G. E. 1959. The sampling variance of the genetic correlation coefficient. Biometrics 15: 469-485.
[15]
Dewey, D. R., and K. H. Lu., 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 51: 515-518.
[16]
Majumder DAN, Shamsuddin AKM, Kabir MA, Hassan L, 2008. Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat. J. Bangladesh Agric. Univ. 6 (2): 227-234.
[17]
Ali, Y., Barbar, M. A., Javed A., Philippe M., and Zahid L., 2008. Genetic variability, Association and diversity Studies in Wheat (Triticum aestivum L.) Germplasm. Pak. J. Bot., 40(5): 2087-2097.
[18]
Ullah K., Khan S. J., Irfaq M., Muhammad 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 Vol. 6(23): 5204-5207.
[19]
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 Vol. 1(2): 19-29.
[20]
Wani B., Yasin A., Ali M., Pandith A., and. Mir R., 2013. Seedling vigour in wheat (Triticum aestivum L.) as a source of genetic variation and study of its correlation with yield and yield components. African Journal of Agricultural Research 8 (4): 370-372.
[21]
Khan S. A., 2013. Genetic Variability and Heritability Estimates in F2 wheat Genotypes. International Journal of Agriculture and Crop Sciences 5 (9): 983-986.
[22]
Salih Hadi Farhood Al-salim, Reem Al-edelbi, Hassin kassar, Hayder Najm Abed. Evaluation of the Variations of Some Traits among Entries Genotypes of Bread Wheat (Triticum aestivum L.) and Their Relationship with Grain Yield. International Journal of Applied Agricultural Sciences. Vol. 1, No. 3, 2015, pp. 79-83. doi: 10.11648/j.ijaas.20150103.16
[23]
Kotal B. D., Das A., and Choudhury B. K., 2010. Genetic variability and association of characters in wheat (Triticum aestivum L.). Asian journal of crop science 2(3): 155-160.
[24]
Verma PN., B N Singh, and R K Yadav, 2013. Genetic variability and divergence analysis of yield and its contributing traits under sodic soil condition in wheat (T. Aestivum L.). International Journal of Agricultural Sciences: Vol. 3 (2):. 395-399.
[25]
Demelash A. L., Desalegn T., and Alemayehu G., 2013. Genetic variation of bread wheat (Triticum aestivum L.) genotypes based on number of phonological and morphological traits at Marwold Kebele, Womberma Woreda and West Gojam. Wudpecker Journal of Agricultural Research 2(6): 160–166.
[26]
Tripathi, S. C., K. D. Sayre, J. N. Kaul and R. S. Narang. 2003. Growth and morphology of spring wheat culms and their association with lodging: effects of genotypes, N levels and ethephon. Field Crops Res. 84(3): 271-290.
[27]
Cheema N. M, Mian, M. A, Rabbani M. I. G and Mahmood A., 2006. Studies on Variability and Some Genetic Parameters in Spring Wheat. Pak. J. Agri. Sci. 43(1-2): 32-35.
[28]
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.
[29]
Khan M. A. U, Malik T., Abbas S. J, Abbas Z., khanA., Malik M., Asghar S., 2011. Study of genetic variability and correlation among various traits of F5 wheat (Triticum aestivum L.) populations. International Research Journal of Agricultural Science and Soil Science Vol. 1(8): 344-348.
[30]
Bruce Walsh, 2002. Quantitative Genetics, Genomics and the Future of Plant Breeding. Quantitative Genetics, Genomics and Plant Breeding. Edited by Manjit S. Kang. Louisiana USA.
[31]
Sivasubramanian, V. and Madhavamenon, P., 1973. Path analysis for yield and yield components of rice. Madras Agric. J. 60: 1217-1221.
[32]
Kumar S, Singh D, Dhivedi VK, 2010. Analysis of yield components and their association in wheat for arthitecturing the desirable plant type. Indian J. Agric. Res. 44(4): 267-273.
[33]
Baranwal D. K., Mishra V. K., Vishwakarma M. K., Yadav P. S. and Arun B., 2012. Studies on Genetic Variability, Correlation and Path Analysis for yield and yield contributing traits in Wheat (T. Aestivum L. Em Thell.). Plant Archives 12 (1): 99-104.
[34]
Ali S., Shah A. S. A, Hassnain A. Shah Z., and Munir I., 2007. Genotypic variation for yield and morphological traits in wheat. Sarhad J. Agric. Vol. 23, No. 4.
[35]
Kumar B., Singh C. M., and Jaiswal K. K., 2013. Genetic variability, association and diversity studies in bread wheat (Triticum aestivum L.). An international quarterly journal of life science. The Bioscan 8(1): 143-147.
[36]
Kalimullah S. J. K., Ifraq M., and Rahman H. U., 2012. Gentetic Variability, Correlation and Diversity Studies in Bread Wheat (Triticum aestivum L.) Germplasm. The Journal of Animal & Plant Sciences, 22(2): Pp.: 330-333.
[37]
Iftikhar R., Khaliq I., Ijaz M., and Rashid M. A. R., 2012. Association Analysis of Grain Yield and its Components in Spring Wheat (Triticum aestivumL.). American-Eurasian J. Agric. & Environ. Sci., 12 (3): 389-392.
[38]
Gelalcha S. and R. R. Hanchinal, 2013. Correlation and path analysis in yield and yield components in spring bread wheat (Triticum aestivum L.) genotypes under irrigated condition in Southern India. African Journal of Agricultural Research 8(24): 3186-3192.
[39]
Ali, IH and Shakor, EF, 2012. Heritability, variability, genetic correlation and path analysis for quantitative traits in durum and bread wheat under dry farming conditions. Mesopotamia J. Agric. 40(4): 27-39.
[40]
Peymaninia Y, Valizadeh M, Shahryari R, Ahmadizadeh M, Habibpour M (2012). Relationship among morpho-physiological traits in bread wheat against drought stress at presence of a leonardite derived humic fertilizer under greenhouse condition. Int. Res. J. Appl. Basic Sci. 3(4): 822-830.
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