2021, Issue 5, Volume 13

D2 ANALYSIS IN ADVANCED BREEDING LINES OF GREENGRAM (VIGNA RADIATA L.)

A. Sheena Sabatina*, Lal Ahamed M.1, N. Harisatyanarayana2 and J.V. Ramana1

Department of Molecular Biology and Biotechnology, Advanced Post Graduate Centre,

Lam, Guntur, A.P., India

1Department of Genetics and Plant Breeding, Agricultural College, Bapatla, A.P.

2Pulses Section, Regional Agricultural Research Station, Lam, Guntur, A.P., India

Email: sheenasabatina.1995@gmail.com

Received-02.05.2021, Revised-11.05.2021, Accepted-23.05.2021

Abstract: Genetic divergence studies are very important to devise a hybridization strategy to exploit the variability present in the base population. In the present study, thirty genotypes of advanced breeding lines of greengram were evaluated to know divergence and use it the hybridization programme based on the inter cluster and high mean values of the clusters.  The thirty genotypes were grouped into ten clusters. The cluster I was the largest cluster with 13 genotypes flowed by the cluster, II (6) and III (4). The clusters, IV to X were solitary clusters with single genotype each. The contribution of test weight towards divergence was maximum (78.39%) compared to other characters. The intra cluster distance was maximum in the cluster III (22.83) followed by the cluster II (21.52) and I (15.56).The inter cluster distance was maximum between the clusters VI and X (753.22) followed by IV and X (717.11), VII and X (552.56) and I and X (531.27) indicating their importance in the hybridization programmes for the generation of transgressive segregants. The cluster X mean value for test weight was maximum and can be utilized in the breeding programmes as it forms an important yield contributing trait for yield improvement.

Keywords: Advanced breeding lines, divergence, greengram

References

Ahmad, H., Syed, M.R., Manzor, A.R., Mushtaq, A., Gul, Z. and Shabeer, A.G. (2016). Estimation of genetic divergence in mungbean (Vigna radiata L.) under temperate ecology of Kashmir. Journal of Botanical Sciences. 2016; 5(1):29-33.

Anamika, N., Maloo, S.R., Barman, K.K., Meena, B.L., Devi, G., Yadav, G.S. and Tak, S. (2017). Molecular characterization of green gram [Vigna radiata (L.)Wilczek] for future breeding programme. International Journal of Current Microbiology and Applied Sciences. 6(6):1385-1398.

Das, Arpita, Biswas, Mainak and Ghosh, Dastidar, K.K. (2010). Genetic divergence in greengram (Vigna radiata L. Wilczek). Journal of Agronomy. 9 (3):126-130.

Asha, R., Ahamed, M.L., Babu, D.R. and Kumar, P.A. (2013). Multivariate analysis in upland cotton (Gossypium hirsutum L.). Madras Agricultural Journal. 100 (4-6), 333-335.

Brar, J.S., Bains, T.S., Shanmugasundaram, S. and Singh, S. (2004). Developing short duration mungbean genotypes suitable for rice-wheat cropping system. In, Shanmugasundaram, S. (Eds.), Proc Final Workshop and Planning Meeting, AVRDC-DFID Mungbean Project 2002-2004, pp. 61-81 Punjab Agricultural University, Ludhiana, Punjab, India.

Chandra, G.S., Lavanya, G.R. and Kulkarni, S.D. (2017). Studies on genetic diversity in greengram (Vigna radiata L. Wilczek) for seed yield characters. Journal of Pharmacognosy and Phytochemistry. 6(6):1765-1767.

Garje, U.A., Bhailume, M.S. and Nagawade, D.R. (2013). Genetic diversity analysis of greengram (Vigna radiata (L.) Wilczek). The Bioscan. 8(4):1477-1480.

Ghulam, A., Ashgar, M.J., Tariq Shah, M. and Atta, B.M. (2010). Genetic diversity in mungbean (Vigna radiata (L.). Pakistan Journal of Botany. 42(5), 3485-3495.

Haritha, T. and Lal Ahamed, M. (2013). Multivariate analysis in upland cotton (Gossypium hirsutum L.).Crop Research. 46: 217-222.

Jadhav, R., Babu, D.R., Lal Ahamed, M. and Rao, V.S.  (2014). Assessment of genetic divergence  in finger millet (Eleusine coracana (L.) Gaertn.)for yield and yield contributing traits. International Journal of Food and Fermentation Technology. 4(2): 113-119.

Mahalanobis, P.C. (1936). On the generalized distance in statistics. National Institute of Science of India. 2(1):541-588.

Mahalingam, A., Manivannan, N., Ragul, S. and Lakshmi Narayanan, S. (2018). Genetic divergence among green gram (Vigna radiata L.) germplasm collections. Electronic Journal of Plant Breeding, 9(1):350-354.

Marilene, S., De lima., Jose Eusstaquio, De Souza, C., Pedro C., Souza, C., Camila, S., Pereira, R., Faria, V. and Paulo, R.C. (2012). Characterization of genetic variability among common bean genotypes by morphological descriptors. Crop Breeding and  Applied Biotechnology. 12: 76-84.

Mounika, K., Ahamed, M.L. and Nafeez, U.S. (2018). Principal component and cluster analysis in inbred lines of maize (Zea mays L.). International Journal of Current Microbiology and Applied Sciences. 7 (06), 3221-3229.

Murthy, B. R. and Arunachalam, V. (1966). The nature of genetic divergence in relation to breeding system in some crop plants. Indian Journal of Genetics and Plant Breeding.26, 188-198.

Muthusamy, S., Kanagarajan, S. and Ponnusamy, S. (2008). Efficiency of RAPD and ISSR markers system in accessing genetic variation of rice bean (Vigna umbellate) landraces. Electronic Journal of Biotechnology. 11: 1-10.

Prasanna, L.B., Rao, P.J.M., Murthy, K.G.K., Prakash, K.K., Yamini, K.N. and Srividhya, A. (2013). Genetic diversity and molecular characterization of mungbean genotypes (Vigna radiata (L.) Wilczek). International Journal of Applied Biology and Pharmaceutical Technology. 4(4):151-160.

Radhika Ramya, A., Lal Ahamed, M. and Srivastava, Rakesh K. (2017). Genetic diversity analysis among inbred lines of pearl millet [Pennisetum glaucum (L.) R. Br.] based on grain yield and yield component characters.International Journal of Current Microbiology and Applied Sciences. 6(6): 2240-2250

Ram, R.B., Singh, S.S., Lal, A.M. and Sharma, J.B. (2002). Genetic divergence for the morpho-agronomic traits in synthetic hexaploid wheats derived from Triticum turgidum [(AABB) X T. tauschii (DD)]. Indian Journal of Plant Genetic Resources. 15 (3), 203-206.

Rao, C.R. (1952). Advanced statistical methods in biometric research. John Willey and Sons Inc., New York; 390.

Roy, A., Ahamed, M.L., Amaravathi, Y., Viswanath, K., Dayal, J.P.B. and Sreekanth, B. (2018). Diversity analysis and assessment of association of SSR markers to late leaf spot and rust resistance in groundnut (Arachis hypogaea L.). International Journal of Current Microbiology and Applied Sciences. 7 (8), 3620-3630.

Sandhiya, V. and Saravanan, S. (2018). Genetic variability and correlation studies in green gram (Vigna radiata (L.)Wilczek). Electronic Journal of Plant Breeding. 9(3):1094-1099.

Sateesh Babu, J., Ramana, M.V., Lal Ahmad, M., Adinarayana, M. and Srinivasa Rao, V. (2019). Genetic divergence in blackgram (Vigna mungo (L.) Hepper). International Journal of Chemical Studies. 7 (4), 2266-2270

Sekhon, H.S., Bains, T.S., Kooner, B.S. and Sharma, P. (2007). Grow summer mungbean for improving crop sustainability, farm income and nutrition. ActaHorticulturae, Vol.752, 459-64.

Shalini, T., Satyanarayana, P.V., Ahmed, M.L., Sireesha, A. and Rao,V.S. (2020). Genetic diversity in rice for yield, quality and nutritional traits (Oryza sativa L). The Andhra Agricultural Journal. 7 (1). 29-33

Singh, N., Singh, H. and Nagarajan, P. (2013). Development of SSR markers in mungbean, Vigna radiata (L.) Wilczek using in silico methods. Journal of Crop Weed., 9, 69-74.

Singh, R.K. and Chaudhary, B.D. (1977). Biometrical methods in quantitative genetic analysis. Kalyani Publishers . New Delhi. 288 pp.

Tulasi, J., Ahamed, M.L., Murthy, J. and Rani, Y.A. (2014). Multivariate analysis in upland cotton (Gossypium hirsutum L).Journal of Cotton Research and Development 28 (2), 191-194.