Genetic Variability, Correlation Co-efficient and Path Analysis in Soybean (Glycine max L. Merr.) Genotypes
Md. Anisur Rahaman *
State Plant Breeding Institute, University of Hohenheim, Stuttgart, Germany and Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Anik Sarker
Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Sourav Modak
Institute of Agricultural Tropics, University of Hohenheim, Stuttgart, Germany and Department of Horticulture, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Md. Rasal-Monir
Department of Horticulture, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
Naheed Zeba *
Department of Genetics and Plant Breeding, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh.
*Author to whom correspondence should be addressed.
Abstract
Soybean (Glycine max L. Merr.) is an important oil seed and grain legume crop in the world and a perspective high potential crop in Bangladesh. It belongs to the family Leguminosae, sub-family papilionaceae and genus Glycine. An experiment was conducted with 14 genotypes of soybean (Glycine max L. Merr.) in a randomized complete block design (RCBD) to study the variability, correlation coefficient, and path analysis. Analysis of variance for each trait showed significant differences among the genotypes. The genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were close to each other for all the characters except the leaf area index, indicating the minor environmental influence on the expression of these characters. High heritability associated with high genetic advance in percent of mean was observed for leaf area index, number of seeds per plant, 100 seed weight, and yield, which pointed out that selection for these characters, would be effective. The significant positive correlation with seed yield was found in pod length and 100 seed weight which revealed that selection based on these traits would improve yield ultimately. Path coefficient analysis evidenced that 50% flowering, pod length, days to 1st pod maturity, number of seed per plant and 100 seed weight had a positive direct effect on yield per plant. Therefore, importance must be given to these characters in further breeding programs to improve soybean yield.
Keywords: Genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), path coefficient analysis
How to Cite
Downloads
References
Mulato BM, Möller M, Zucchi MI, Quecini V, Pinheiro JB. Genetic diversity in soybean germplasm identified by SSR and EST-SSR markers. Pesq. agropec. Bras. 2010;45(3): 276-283.
Ghodrati G. Study of genetic variation and broad sense heritability for some qualitative and quantitative traits in soybean (Glycine max L.) genotypes. Curr. Opin. Agric. 2013;2(1): 31-35.
Ramteke R, Kumar V, Murlidharan V, Agarwal DK. Study on genetic diversity and traits interrelationship among released soybean varieties of India (Glycine max L. Merr.). Electronic J. Plant Breed. 2010; 1:1483-1487.
Jyoti S, Tyagi SD. Direct and indirect contribution of different traits towards maximization of grain yield in soybean. Adv. Plant Sci. 2005;18:333-337.
Arshad M, Ali N, Ghafoor A. Character correlation and path coefficient in soybean Glycine max (L.) Merr. Pakistan J. Bot. 2006;38(1): 121-130.
Dewey DR, Lu KN. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agron. J. 1959;51: 515-518.
Iqbal S, Mahmood T, Tahira Ali, M, Anwar M, Sarwar M. Path-coefficient analysis in different genotypes of soybean [Glycine max (L.) Merr.]. Pakistan J. Biol. Sci. 2003;6(12):1085-1087.
Ghafoor A, Gulbaz FN, Afzal M, Ashraf M, Arshad M. Inter-relationship between SDS-PAGE markers and agronomic traits in chickpea (Cicer arietinum L.). Pakistan J. Bot. 2003;35(4): 613-624.
Johnson HW, Robinson HF, Comstock RE. Estimation of genetic and environmental variability in soybean. Agron. J. 1955;47:477-483.
Bangar ND, Mukher OD, Lad DB, Mukhar DG. Genetic variability, correlation and reggresion studies in soybean. J. Maharashtra Agril. Univ. 2003;28(3): 320-321.
Kumar A, Pandey A, Aochen C, Pattanayak A. Evaluation of genetic diversity and interrelationships of agro-Morphological characters in soybean (Glycine max L. Merr.) genotypes. Natl. Acad. Sci. India. 2014;85(2):397-405.
Agrawal AP, Patil SA, Math PS. Variability, heritability and genetic advance of some quantitative character over the seasons in soybean. Madras Agril. J. 2001;88(1-3):36- 40.
Chandel KK, Patel NB, Patel JB. Genetic variability analysis in soybean (Glycine max L. Merr.). AGRES Intl. e-J. 2013;2(3):318-325.
Nooghab NAS, Jelodar NB, Bagheri N. Genetic diversity evaluation of different varieties of soybean (Glycine max L.) based on morphological traits. J. Bio. Env. Sci. 2014;5(5):221-228.
Swapnil SS, Singh VJ, Gampala S, Rangare NR. Assessment of genetic variability of the main yield related characters in soybean. Intl. J. Food Agric. Vet. Sci. 2014;4(2): 69-74.
Wright S. Correlation and causation. J. Agric. Res. 1921;20: 202-209.
Inderjit S, Pritpal S, Sandhu JS. Genetic divergence and association studies in field pea (Pisum sativum L.). Crop Improv. 2007;34(2):179-182.