Loading...

​Estimation of Genetic Variability and Genetic Divergence in Dolichos Bean [Lablab purpureus (L.) Sweet.] Genotypes

DOI: 10.18805/LR-4626    | Article Id: LR-4626 | Page : 916-920
Citation :- ​Estimation of Genetic Variability and Genetic Divergence in Dolichos Bean [Lablab purpureus(L.) Sweet.] Genotypes.Legume Research.2021.(44):916-920
Udit Kumar, Pramila, K. Prasad, R.K. Tiwari, Saipayan Ghosh, B.M. Sinha, L.M. Yadav udithort@gmail.com
Address : Department of Horticulture, PG College of Agriculture, Dr. Rajendra Prasad Central Agricultural University, Pusa-848 125, Samastipur, Bihar, India.
Submitted Date : 1-04-2021
Accepted Date : 17-05-2021

Abstract

Background: Dolichos bean is an important leguminous vegetable having a wide range of variation in different quantitative characters. Assessing genetic diversity among dolichos bean accessions can ensure development of suitable high-yielding and adapted varieties with suitable maturity period. 
Methods: Fifteen genotypes were evaluated for different characters in Dolichos bean at two locations of Dr. Rajendra Prasad Central Agricultural University viz. Vegetable Research Farm, Pusa and Krishi Vigyan Kendra, Birauli, Samastipur, Bihar during the year 2018-19 and pooled data was analyzed. The genotypes were evaluated for genetic variability and genetic divergence for 14 characters. For the assessment of genetic diversity among the fifteen genotypes of dolichos bean, Mahalanobis (D2) statistic (Mahalanobis, 1936) was used, following the procedure given by Rao, 1952. Grouping of genotypes into clusters was done using Tocher’s method as described by Rao, 1952.
Result: Phenotypic Coefficient of Variation (PCV) was slightly higher than Genotypic Coefficient of Variation (GCV) for all the characters indicated that the characters were less influenced by environment. The characters having high heritability and high genetic advance include harvesting duration, number of pods per plant, pod length, pod diameter, individual pod weight, weight of seeds per pod, 100 fresh green seed weight, pod yield and percent incidence of yellow mosaic virus. Therefore, selection for above characters is highly effective. Genetic diversity analysis evaluated that all genotypes could be placed into 6 clusters. Genotypes grouped in Cluster III and I have highest mean value for all characters as well as highest inter-cluster distance.  
 

Keywords

​Cluster analysis Divergence Genetic advance Genetic variability Heritability


References

  1. Ansari, M.T., Pandey, A.K., Mailappa, A.S., and Singh, S. (2019). Screening of dolichos bean [Lablab purpureus (L.) Sweet] genotypes for aluminium tolerance. Legume Research- An International Journal. 42(4): 495-499.
  2. Basu, A.K., Pal, D. Sasmala, S.C. and Samanta, S.K. (1999). Genetic analysis for embryo weight, cotyledon weight and seed protein in lablab bean. Vegetable Science. 26: 37- 40. 
  3. Borah, H.K. and Khan, A.K.F. (2001). Genetic divergence in fodder cowpea [Vigna unguiculata (L.) Walp.]. Madras Agri. J. 88(10/12): 625-628. 
  4. Borah, P. and Shadeque, A. (1992). Studies on genetic variability of common Dolichos bean. Indian J. Hort. 49: 270-273.
  5. Burton, G.W. (1952). Quantitative inheritance in grasses. Pro VI IntGrassl Cong, 1952, 277-283.
  6. Falconer, D.S. (1981). Introduction to quantitative genetics, 2nd Ed. Oliver and Boyd, Edinburg London. 164-176.
  7. Fuller, D.Q. (2003). African Crops in Prehistoric South Asia: A Critical Review. In: Food, Fuel, Fields-progress in African archeobotany, [Neuman K, Butler A, Kahlheber S (eds)] Heinrich-Barth- Institut, Koln, Germany. Africa Prehistorica. 15: 239-271.
  8. Ganesh, B.N., Sekhar, M.R., Reddy, K.R., and Eswarareddy, N.P. (2006). Genetic variability, character association and path analysis of pod yield and its component characters in field bean (Lablab purpureus L. Sweet). GEOBIOS. 33: 163-168.
  9. Golani, I.J., Mehta, D.R., Naliyandhara, Patel, R.K. and Kanzariya, M.V. (2007). Genetic variability, correlation and path analysis for green pod yield and its characters in hyacinth bean. Orissa Journal of Horticulture. 35(1): 71-75.
  10. Johnson, H.W., Robinson, H.F., and Comstock, R.E. (1955). Estimates of genetic and environmental variability in soybeans 1. Agronomy Journal. 47(7): 314-318.
  11. Lush, J.L. (1949). Heritability of quantitative characters in farm animals. Nature Sciences. 35(S1): 356-375.
  12. Magalingam, V., Yassin, M. and Kumar, S.R. (2013). Genetic diversity in dolichos bean. Canadian J. Plant Breed. 1: 80-86.
  13. Mahalanobis, P. C. (1936). On the generalized distance in statistics. National Institute of Science of India.
  14. Murphy, A. M., andColucci, P. E. (1999). A tropical forage solution to poor quality ruminant diets: A review of Lablab purpureus. Livestock Research for Rural Development. 11(2): 1999.
  15. Panse, V.C. and Sukhatme, P.V. (1978). Statistical methods for Agricultural workers. III Rev. Ed. ICAR, New Delhi.
  16. Parmar, A. M., Singh, A. P., Dhillon, N. P. S. andJamwal, M. (2013). Genetic variability studies for morphological and yield traits in Dolichos bean (Lablab purpureus L.). World Journal of Agricultural Sciences. 9(1): 24-28.
  17. Patel, K.L., Sharma, G.L. and Mehta, N. (2014). Genetic divergence analysis in dolichos bean (dolichos lablab L.). Journal of Plant Development Sciences. 6(2): 315-318.
  18. Rao, C.R. (1952). Advanced statistical methods in biometric research. American Journal of Physical Anthropology. 12(2): 268-270.
  19. Salim, M., Hossain, S., Alam, S., Rashid, J. A. and Islam, S. (2013). Estimation of genetic divergence in lablab bean (Lablab purpureus L.) genotypes. Bangladesh Journal of Agricultural Research. 38(1): 105-114.
  20. Ushakumari, R., Backiyarani, S. and Dhanakodi, C.V. (2000). Character contribution to diversity in cowpea. Legume Research-An International Journal. 23(2): 122-125.
  21. Vaggar, S., Kumar, U., Prasad, K., Yadav, L.M., Pramila and Sinha, B.M. (2020). Study of genetic divergence for yield and quality traits in cowpea [Vigna unguiculata (L.) Walp.]. Legume Research.1-5, DOI:10.18805/LR-4297.

Global Footprints