Main Article Content

Abstract

A study was conducted to understand genetic divergence in Randomized complete block design accommodating 30 soybean [Glycine max (L.) Merrill] genotypes randomly in three replications. These genotypes were evaluated for twenty-seven traits: five phenological, nine agro-morphological, eight physiological traits (from field-trial) and five physiological traits (from laboratory experiment) recorded and subjected to PCA (Principal Component Analysis) and cluster analysis. Among all the studied cultivars, significant diversity, as well as analysis of dispersion, was recorded for different agro-morphological characters. D2-statistic (Tocher method) framed (generalized distance-based) nine clusters: largest with eight and five were oligo-genotypic. Harvest index>seed yield per plant>germination relative index>seedling dry weight contributed maximum towards total divergence. From the most divergent clusters, 21 crosses involving cluster v genotypes (PS-1347, RKS-18, PS-1092, NRC-142, VLS-94, NRC-136, and Shalimar Soybean-1) with monogenotypic cluster VII (AMS-2014), VIII (RSC-11-15) and III (RSC-10-71) suggested for future hybridization. Out of eighteen, only eight principal components revealed more than 1.00 eigen value and exhibited about 85.03% variability among the traits studied. The highest variability (25.41%) by PC1 followed by PC2 (15.60%), PC3 (12.35%), PC4 (10.13%), PC5 (7.20%), PC6 (5.43%), PC7 (4.80%) and PC8 (4.11%) for characters under study.

Keywords

D2-statistic Randomized complete block design PCA Variability

Article Details

Author Biographies

Anil Pandey, Department of Plant Breeding and Genetics, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India.

Head of the Department of plant breeding and genetics.

Mainak Barman, Department of Plant Breeding and Genetics, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India.

Phd scholar at department of plant breeding and genetics.

Monika Shahani, Department of Plant Breeding and Genetics, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India.

PhD scholar at Department of plant breeding and genetics.

Gharsiram, Department of Agronomy, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar, India.

PhD scholar at department of Agronomy

How to Cite
Bijarania, S., Pandey, A. ., Barman, M. ., Shahani, M. ., & ram, G. (2022). Assesment of divergence among soybean [Glycine max (L.) Merrill] genotypes based on phenological and physiological traits. Environment Conservation Journal, 23(1&2), 72–82. https://doi.org/10.36953/ECJ.021808-2117

References

  1. Adsul, H. R. and Monpara, B. A. (2014). Genetic divergence analysis in indigenously developed Indian soybean (Glycine max L. Merrill) germplasm. Genetika, 46(2): 401-409. DOI: https://doi.org/10.2298/GENSR1402401A
  2. Chandra, K., Pandey, A. and Mishra, S. B. (2018). Genetic diversity analysis among Indian mustard [Brassica juncea (L.) Czern and Coss] genotype under rainfed condition. International Journal of current Microbiology and Applied sciences, 7: 256-268. DOI: https://doi.org/10.20546/ijcmas.2018.703.030
  3. Chandra, K., Anil, P. and Mishra, S. B. (2018). Principal Component Analysis of Indian mustard genotypes for morpho-physiological traits under rainfed condition. Green Farming, 9(3): 404-408.
  4. Dhapke, S. K., Patil. S. P. and Wankhade, R. S. (2011). Studies on genetic diversity in elite soybean genotypes. Crop Research Journal, 42(1/2/3): 255-258.
  5. Jeffers JNR. (1967). Two case studies in the application of its principal component analysis. Journal of Applied Statistics, 16: 225-236. DOI: https://doi.org/10.2307/2985919
  6. Kumar, A., Pandey, A. and Pattanayak, A. (2015). Assessment of genotypic variation in soybean (Glycine max). Legume Research-An International Journal, 38(2): 174-177. DOI: https://doi.org/10.5958/0976-0571.2015.00042.9
  7. Li M, Liu Y, Wang C,Yang X, Li D, Zhang X, Xu C, Zhang Y, Li W and Zhao L (2020) Identification of Traits Contributing to High and Stable Yields in Different Soybean Varieties Across Three Chinese Latitudes. Front. Plant Science, 10:1642. DOI: https://doi.org/10.3389/fpls.2019.01642
  8. Mahbub, M. M., Rahman, M. M., Hossain, M. S., Nahar, L. and Shirazy, B. J. (2016). Morphophysiological variation in soybean (Glycine max (L.) Merrill). American-Eurasian Journal of Agricultural and Environmental Sciences, 16(2): 234-238.
  9. Mahbub, M. M. and Shirazy, B. J. (2016). Evaluation of genetic diversity in different genotypes of soybean (Glycine max (L.) Merrill). American Journal of Plant Biology, 1(1): 24-29.
  10. Mili, K. N., Shirazy, B. J. and Mahbub, M. M. (2017). Evaluation of Genetic Diversity in Soybean (Glycine max (L.) Merrill) Genotypes Based on Agronomic Traits. Scientia, 20(3): 92-98. DOI: https://doi.org/10.15192/PSCP.SA.2017.20.3.9298
  11. Patil, S. S., Naik, M. R., Patil, P. P., & Shinde, D. A. (2011). Genetic variability, correlation and path analysis in soybean. Legume Research-An International Journal, 34(1): 36-40.
  12. Pawar K. K., Yadav S. K., Jarman M. and Singh A. K. (2013). Assessment of Divergence in Soybean (Glycine Max L. Merrill) Germplasm for Yield Attributing Traits., International Journal of Scientific Research, 2: 27-33.
  13. Shadakshari, T. V., Kalaimagal, T., Senthil, N., Boranayaka, M. B.,Kambegowda, R. and Rajesha, G. (2011). Genetic diversity studies in soybean [Glycine max (L.) Merrill] based on morphological characters. Asian Journal of Biological Sciences, 6(1): 7-11.
  14. Yadav, S. and Pandey, A. (2018). Multivariate analysis approach to select parents for hybridization aiming at yield improvement in Indian mustard (Brassica juncea L.) genotypes. Journal of Pharmacognosy and Phytochemistry, 7(5): 2132-2138.