Genetic variability and correlation studies in advanced breeding lines of soybean [Glycine max (L.) Merrill]

GENETIC VARIABILITY AND CORRELATION STUDIES IN ADVANCED BREEDING LINES OF SOYBEAN


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Authors

  • ANJALI PAL Department of Genetics and Plant Breeding, CSKHPKV, Palampur, Kangra-176 062, Himachal Pradesh
  • VEDNA KUMARI Department of Genetics and Plant Breeding, CSKHPKV, Palampur, Kangra-176 062, Himachal Pradesh
  • RONIKA THAKUR Department of Genetics and Plant Breeding, CSKHPKV, Palampur, Kangra-176 062, Himachal Pradesh
  • POONAM RANA Department of Genetics and Plant Breeding, CSKHPKV, Palampur, Kangra-176 062, Himachal Pradesh

https://doi.org/10.56739/5h5sbj73

Keywords:

Correlation, Heritability, Path Analysis, Selection, Soybean, Variation

Abstract

An experiment with 37 advanced breeding lines was conducted to study the genetic variability and association among seed yield and related traits along with direct and indirect effects in order to identify promising soybean genotypes. The genotypes were raised in randomized block design with three replications at experimental farm of department of genetics and plant breeding, CSKHPKV Palampur during kharif season under rainfed conditions. Analysis of variance revealed the presence of sufficient genetic variability for all the traits studied. High heritability coupled with high genetic advance was recorded for pod insertion height, plant height, branches per plant, 100-seed weight,seed yield per plant and pods per plant indicating the preponderance of additive gene action suggesting effective selection for these traits. Correlation coefficient analysis showed the significant and positive association of plant height, nodes on main stem, inter-node length, pods per plant, seeds per pod, biological yield per plant and harvest index with seed yield per plant both at phenotypic and genotypic levels. When the direct and indirect effects were estimated, the highest positive direct effect on seed yield per plant was exhibited by harvest index followed by biological yield per plant. Based on path coefficient analysis, harvest index and biological yield per plant could be considered as the direct selection indices for yield improvement in soybean.

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References

Akram RM, Fares WM, Fateh HSA and Rizk AMA. 2011. Genetic variability, correlation and path analysis in soybean. Egyptian Journal of Plant Breeding, 15(1): 89-102.

Al-Jibouri HA, Millar PA and Robinson HP. 1958. Genotypic and environmental variances and co-variancesin an upland cotton cross of interspecific origin. Agronomy Journal, 50:633-636 DOI: https://doi.org/10.2134/agronj1958.00021962005000100020x

Anonymous 2022a. FAOSTAT. www.org/faostat/en/#data/QC

Anonymous 2022b. www.Indiastatagri.com

Baig KS, Jadhav PP, Sarang DH and Chandrawat KS. 2017. Correlation and path analysis studies in soybean [Glycine max (L.) Merrill]. International Journal of Pure and Applied Bioscience, 5(1): 489-492. DOI: https://doi.org/10.18782/2320-7051.2679

Banerjee J, Shrivastava MK, Amrate PK, Singh Y, Upadhyay A and Soni M. 2022. Genetic variability and association of yield contributing traits in advanced breeding lines of soybean. Electronic Journal of Plant Breeding, 13(2): 597-607. DOI: https://doi.org/10.37992/2022.1302.075

Baria AR, Akabari VR and Gohil VN. 2022. Variability studies for seed yield and its components in soybean. Journal of Genetics, Genomics and Plant Breeding, 6(2): 54-59.

Burton GW and De Vane EH. 1953. Estimating heritability in a tall fescue (Festuca arundinacea) from replicated clonal material. Agronomy Journal, 45: 478-481. DOI: https://doi.org/10.2134/agronj1953.00021962004500100005x

Chandel K, Patel N, Sharma L and Gali S. 2017. Genetic variability, correlation coefficient and path analysis for yield and yield attributing characters in soybean [Glycine max (L.) Merrill]. Green Farming, 8(3): 547- 551.

Chandrawat KS, Baig KS, Hashmi S, Sarang DH, Kumar A and Dumai PK. 2017. Study on genetic variability, heritability and genetic advance in soybean. International Journal of Pure and Applied Bioscience, 5(1): 57-63. DOI: https://doi.org/10.18782/2320-7051.2592

Dewey DR and Lu KH. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy Journal, 51: 515-518. DOI: https://doi.org/10.2134/agronj1959.00021962005100090002x

Dutta P, Goswami PK and Borah M. 2021. Assessment of genetic variability, heritability and genetic advance in soybean [Glycine max (L.) Merril] genotypes. Electronic Journal of Plant Breeding, 12(4): 1461-1465. DOI: https://doi.org/10.37992/2021.1204.200

Ekka NP and Gabrial ML. 2016. Study on genetic variability and character association in soybean [Glycine max (L.) Merrill] germplasm at vindhyan zone of Uttar Pradesh. Agriculture Science Digest, 36(1): 69-71. DOI: https://doi.org/10.18805/asd.v35i1.9316

Guleria H, Kumar P, Jyoti B, Kumar A, Paliwal A and Paliwal A. 2019. Genetic variability and correlation analysis in soybean [Glycine max (L.) Merrill] genotypes. International Journal of Chemical Studies, 7(1): 1928-1932.

Jain RK, Joshi A, Chaudhary HR, Dashora A and Khatik CL. 2017. Study on genetic variability, heritability and genetic advance in soybean [Glycine max (L.) Merrill]. Legume Research-An International Journal, 41(4): 532-536. DOI: https://doi.org/10.18805/LR-3874

Jain S, Srivastava SC, Singh SK, Indapurkar YM and Singh BK. 2015. Studies on genetic variability, character association and path analysis for yield and its contributing traits in soybean. Legume Research, 38(2): 182-184. DOI: https://doi.org/10.5958/0976-0571.2015.00031.4

Johnson HW, Robinson HF and Comstock RE. 1955. Genotypic and phenotypic correlation in soybean and their implication in selection. Agronomy Journal, 47: 477-483. DOI: https://doi.org/10.2134/agronj1955.00021962004700100008x

Khadka A, Pandey SR, Acharya SS, Poudel A and Adhikari S. 2020. Morphological evaluation and multivariate analysis of soybean [Glycine max (L.) Merrill] genotypes in western mid-hills of Nepal. Sarhad Journal of Agriculture, 37(1): 77-91. DOI: https://doi.org/10.17582/journal.sja/2021/37.1.77.91

Kumar A, Lal GM and Mishra PK. 2014. Genetic variability and character association for yield and its components in soybean [Glycine max (L.) Merril]. Annals of Plant and Soil Research, 16(1): 48-52.

Kumar A, Pandey A, Aochen C and Pattanayak A. 2015. Evaluation of genetic diversity and interrelationships of agro-morphological characters in soybean genotypes. Biological Sciences, 85(2): 397-405. DOI: https://doi.org/10.1007/s40011-014-0356-1

Kumar S, Kumari V and Kumar V. 2020. Genetic variability and character association studies for seed yield and component characters in soybean under North-western Himalayas. Legume Research-An International Journal, 43(4): 507-511.

Mehra S, Shrivastava M, Amrate PK and YadavR. 2020. Studies on variability, correlation coefficient and path analysis for yield associated traits in soybean [Glycine max (L.) Merrill]. Journal of Oilseeds Research, 37(1): 56-59. DOI: https://doi.org/10.56739/jor.v37i1.136390

Michelfelder AJ. 2009. Soy: A Complete Source of Protein. American Family Physician, 79: 43-47.

Ogunniyan DJ and Olakojo SA. 2015. Genetic variation, heritability, genetic advance and agronomic character association of yellow elite inbred lines of maize (Zea mays L.). Nigerian journal of Genetics, 28(2): 24-28. DOI: https://doi.org/10.1016/j.nigjg.2015.06.005

Panse VG and Sukhatme PV. 1985. Statistical Methods for Agricultural Workers. ICAR, New Delhi, India. 381.

Paul S and Kumar N. 2019. Selection strategy and estimation of interrelationships for improvement of seed yield and other related traits in linseed. Indian Journal of Plant Genetic Resources, 32(1): 28-35. DOI: https://doi.org/10.5958/0976-1926.2019.00004.4

Prakash HP, Rawte S, Saxena RR, Verulkar SB and Saxena RR. 2021. Genetic variability, character association and path analysis for yield traits of rice in different water regimes of rice (Oryza sativa L.). The Pharma Innovation Journal, 10(11): 754-758.

Pratap A, Gupta SK, Kumar J and Solanki R. 2012. Technological Innovation in Major World Oil Crops, volume 1: 293-321. DOI: https://doi.org/10.1007/978-1-4614-0356-2_12

Pratap A, Gupta SK, Kumar J, Mehandi S and Pandey VR. 2016. Breeding oilseed crops for sustainable production opportunities and constraints, 293-315. DOI: https://doi.org/10.1016/B978-0-12-801309-0.00012-4

Reni YP and Rao YK. 2013. Genetic variability in soybean [Glycine max (L.) Merrill]. International Journal of Plant, Animal and Environmental Sciences, 3(4): 35-38.

Sileshi Y. 2019. Estimation of variability, correlation and path analysis in soybean [Glycine max (L.) Merrill] Genotypes at Jimma, South Western Ethiopia. Journal of Natural Sciences Research, 9(7) DOI:10.7176/jnsr/9-7-03. DOI: https://doi.org/10.7176/JNSR/9-7-03

Sureshrao SS, Singh VJ, Gampala S and Rangare NR. 2014. Assessment of genetic variability of the main yield related characters in soybean. International Journal of Food, Agriculture and Veterinary Sciences, 4(2): 69-74.

Tiwari S P and Tiwari S P 2023. The Indian soybean revolution- Ascertaining the determinants and the tipping point. Journal of Oilseeds Research, 40(1& 2): 1-12. DOI: https://doi.org/10.56739/30ffp555

Trivedi R K, Tripathi R K, Pandey D and Sharma P 2023. An overview of oilseeds seed industry. Journal of Oilseeds Research, 40(4): 169-175. DOI: https://doi.org/10.56739/95w49a32

Verma V, Shrivastava MK, Mehra S, Amrate PK and Yadav RB. 2021. Estimation of genetic parameters for yield associated traits and principal component in advance breeding lines of soybean [Glycine max (L.) Merrill]. International Journal Current Microbiology and Applied Sciences, 10(1): 2704-2710. DOI: https://doi.org/10.20546/ijcmas.2021.1001.314

Zarkadas CG, Gagnon C, Poysa V, Hanizadeh S, Cober ER, Chang V and Gleddie S. 2007. Protein quality and identification of the storage protein subunits of tofu and null soybean genotypes using amino acid analysis, one and two-dimensional gel electrophoresis and tandem mass spectrometry. Food Research International, 40: 111-128. DOI: https://doi.org/10.1016/j.foodres.2006.08.005

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Submitted

2025-01-27

Published

2024-04-19

How to Cite

ANJALI PAL, VEDNA KUMARI, RONIKA THAKUR, & POONAM RANA. (2024). Genetic variability and correlation studies in advanced breeding lines of soybean [Glycine max (L.) Merrill]: GENETIC VARIABILITY AND CORRELATION STUDIES IN ADVANCED BREEDING LINES OF SOYBEAN. Journal of Oilseeds Research, 41(1), 10-17. https://doi.org/10.56739/5h5sbj73