Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties
American Journal of Life Sciences
Volume 6, Issue 4, August 2018, Pages: 52-56
Received: Nov. 8, 2018;
Accepted: Dec. 7, 2018;
Published: Jan. 4, 2019
Views 178 Downloads 61
Besufikad Enideg Getnet, Department of Plant Science, Gambella University, Gambella, Ethiopia
Genetic variability, heritability and genetic advance under selection studies were conducted at Assosa on 49 soybean genotypes. A field study laid out in 7x7 simple lattice design with two replications at Assosa Agricultural Research Center with the objective of estimating genetic variability, heritability, expected genetic advance, and to estimate genetic divergence, thereby, to cluster the test genotypes in to genetically divergent classes. The result of this study indicated variations for all the traits evaluated. The highest heritability value was recorded for days to 50% flowering followed by days to maturity and days to pod setting. Wide range of mean values was observed in all the characters evaluated. This indicates that the characters can be improved through selection. Divergence analysis grouped the 49 soybean genotypes into three. The principal component analysis revealed that five principal components PC1 to PC5 with Eigen values 4.27, 2.53, 1.91, 1.28 and 1.08 respectively, have accounted for 73.81% of the total variation.
Besufikad Enideg Getnet,
Genetic Variability, Heritability and Expected Genetic Advance as Indices for Selection in Soybean [Glycine max (L.) Merrill] Varieties, American Journal of Life Sciences.
Vol. 6, No. 4,
2018, pp. 52-56.
Agdew Bekele and Getnet Alemahu (2005). Desirable traits influencing grain yield in soybean (Glycinemax(L.)Merrill) Int. Inst. Sci. Tech. Edu. 2: 3-6.
Ajayi AT, Adekola MO, Taiwo BH, Azuh VO (2014) Character expression and differences in yield potential of ten genotypes of cowpea (VignaunguiculataL.). Plant. 4: 63-71.
Arashad M., Ali N., and Ghafoor, A., (2006) Character correlation and path coefficient in soybean Glycine max (L.) Merrill. Pak. J. Bot. (2006) 38(1): 121-130.
Asrat A.; Abush T.; Sentayehu A. and Mulugeta A. Food and Forage Legumes of Ethiopia: Progress and Prospects. Proceedings of the Workshop on Food and forage Legumes, 22 – 26 September 2003. Addis Ababa, Ethiopia.
Atanf M, Tesfaye K, Kifle D (2015a) The importance of legumes in the Ethiopian farming system and overall Economy: an overview. Am J Exp Agric.7:347-358.
Atnaf M, Tesfaye K, Dagne K, Wegary D (2015b) Extent and pattern of genetic diversity in Ethiopian white lupin landraces for agronomical and phenological traits. Afr Crop Sci J. 23: 327 - 341.
Babar, M. A , Newaz, M. A and Jahan, M. A. (2002). Identification of selection parameters for yield improvement in French bean. Bangladesh Jour. Agric. Sci. 29: 85-89.
Getnet B., Alamerew S., Tesfaye A., Barnabas J., Character Correlation and Path Analysis for Yield and Yield related Components in Soybean (Glycine max L.) Genotypes (2016). International Journal of Sciences & Applied Research. IJSAR, 3(12), 2016; 97-104.
Getnet B., Alamerew S., Tesfaye A., Barnabas J., Correlation and Path Analysis for Yield and Yield related Components in Soybean (Glycine max L.) Genotypes (2016). International Journal of Sciences & Applied Research. IJSAR,3(12), 2016; 105-112.
Janaki M Naidu LN, Ramana CV and Rao MP (2015) Assessment of genetic variability, heritability and genetic advance for quantitative traits in chilli (Capsicum annuumL.). The Bioscan 10(2): 729-733.
Patil AS, Punewar AA, Nandanwar HR, and Shah KP (2014) Estimation of variability parameters for yield and its component traits in groundnut (ArachishypogaeaL.). The Bioscan 9(2): 749-754.
Kumara PS Sanjeev BG and Ravana PV (2015) Studies on correlation and path analysis for traits related to water use efficiency and pod yield and its component in groundnut (Arachishypogaea L.). The Bioscan 10(4):2155-2158.
Kang, Y. J.; Kim, S. K.; Kim, M. Y.; Lestari, P.; Kim, K. H.; Ha, B.-K.; Jun, T. H.; Hwang, W. J.; Lee, T.; Lee, J. Genome sequence of mungbean and insights into evolution within Vigna species. Nat. Commun. 2014, 5, 5443.
Kim, S. K.; Nair, R. M.; Lee, J.; Lee, S.-H. Genomic resources in mungbean for future breeding programs. Front. Plant Sci. 2015, 6, 626.
Mahalanobis, P. C., (1936). On the generalized distance in statistics. In : Proceedings of National Academy of Science (Indian), 2 : 49-55.
Malek MA, Rafii MY, Shahida S, Afroz M, et al. (2014) Morphological characterization and assessment of genetic variability, character association, and divergence in soybean mutants. Sci World J.
Payasi DK (2015) Genetic variability analysis for seed yield and its components in mungbean (VignaradiataL. Wilczek). Int J Plant Breed Genet. 9: 177-188.
Poehlman, J. M. and D. A. Sleper, (1995). Breeding Field Crops. 4th ed. Iowa State University Press, Ames, Iowa 50014, USA.
Salmeron, M., L. C. Purcell, L. Earnest, and J. Ross. 2015a. Soybean yield response: planting date and maturity groups in Arkansas. http://www.midsouthsoybeans.com/52618_32_AR_Maturity Guide_10_21_15.pdf.
Salmeron, M., L. C. Purcell, L. Earnest, and J. Ross. 2015b. Soybean yield response: planting date and maturity groups in Tennessee. http://www.midsouthsoybeans.com/54407_29_TN_MaturityGuide_LR.PDF.
Salmeron, M., L. C. Purcell, L. Earnest, and J. Ross. 2015c. Soybean yield response: planting date and maturity groups in Missouri. http://www.midsouthsoybeans.com/54407_MO_Maturity_Guide_FINAL.PDF.
SAS Institute Inc., 2001. Statistical Analysis System, Version 9.2. Cary, North Carolina, USA.