Legume Research

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Legume Research, volume 34 issue 2 (june 2011) : 149 - 152

GENETIC PARAMETERS AND INTER-RELATIONSHIP ANALYSIS IN BLACKGRAM [Vigna mungo.(L.) Hepper]

D. Kodanda Rami Reddy, O. Venkateswarlu, G.L. Siva Jyothi, M.C. Obaiah
1Agricultural Research Station, Podalakur - 524 345, Nellore District, India.
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Cite article:- Reddy Rami Kodanda D., Venkateswarlu O., Jyothi Siva G.L., Obaiah M.C. (2024). GENETIC PARAMETERS AND INTER-RELATIONSHIP ANALYSIS IN BLACKGRAM [Vigna mungo.(L.) Hepper]. Legume Research. 34(2): 149 - 152. doi: .
In present study, 70 germplasm accessions of blackgram were evaluated for seven economically important characters. The study showed considerable variability for these characters. Heritability in broad sense was high for all the characters studied except for number of seeds/pod and pod length. High heritability coupled with high genetic advance as per cent mean was observed for plant height, number of clusters/plant, number of pods/plant, 100-seed weight and seed yield/plant. The association analysis revealed that the genotypic correlation coefficients were higher than corresponding phenotypic ones for all the character combinations. Number of clusters/plant, number of pods/plant, number of seeds/pod and pod length had a significant positive association with seed yield. Plant height and 100 - seed weight had a positive association with seed yield. Selection for high yield in blackgram could be made by inclusion of number of clusters/plant and number of pods/plant as selection criteria along with plant height.
  1. Burton, G. W. (1952). Quantative Inheritance in Grasses. Proc. 6th Inst. Grassland Cong., 1 : 277-283.
  2. Johnson, H. W., Robinson, H. F. and Comstock, R. E. ( 1955 ). Estimates of variance and environmental variability in soybean. Agron. J. 47 : (1); 314 – 318.
  3. Konda, C. R., Salimath, P. M. and Mishra, M. N. ( 2008 ). Correlation and path coefficient analysis in blackgram (Vigna mungo.(L)Hepper). Legume Res. L ) 31: (3); 202-205.
  4. Konda, C. R., Salimath, P. M. and Mishra, M. N. ( 2009 ). Genetic variability studies for productivity and its components in blackgram (Vigna mungo.(L)Hepper). Legume Res. 32: (1); 59-61.
  5. Parameswarappa, S. G. and Laminani, K. D. ( 2005 ). Genetic estimates, association and path coefficient analysis in blackgram{Vigna mungo.(L)Hepper}. Karnataka J. Agric. Sci. 18: (1); 21-23.
  6. Pradhan, K. C. and Misra, P. K. ( 2008 ). Genetic variability in blackgram (Vigna mungo.(L)Hepper) . Environment and Ecology 235: (4 ); 729-730.
  7. Singh, R. K. and Chaudhary, B. D. ( 1985 ). Biometrical Methods in Quantitative Genetic Analysis. Kalyanai Publishers, New Delhi.
  8. Umadevi, M. and Ganesan, N. M. ( 2006 ). Variability, correlation and path analysis for yield and yield components in blackgram (Vigna mungo.(L) Hepper). Crop Res. 31: (2); 253-257.

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