Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by Mainak Biswas
Total Records ( 1 ) for Mainak Biswas
  Arpita Das , Mainak Biswas and K.K. Ghosh Dastidar
  An experiment was carried out at Bidhan Chandra Krishi Viswavidyalaya, Nadia, India to study the genetic divergence and clustering pattern of 23 genotypes of Green gram (Vigna radiata L. Wilczek) for selection of suitable parents that can be utilized in hybridization programme and to study the genetic parameters attributing to yield. All the genotypes were grown in RBD in three replications and observations were recorded from ten plants regarding six characters namely days to first flower, Number of pods per plant, Number of seeds per pod, days at 80% maturity, seed yield per plant (g) and 100 seed weight (g). Grouping of genotypes into various clusters was done by Mahalnobis D2 statistics. The experimental data was analyzed statistically by the method of analysis of variance for single factor and lastly to find out the significance mean difference between varieties, different genetic parameters were estimated. The analysis of variance for all characters revealed highly significant differences among all genotypes suggesting the presence of substantial genetic variability. The 23 strains were grouped into 8 clusters with genotypes SML-175, Malda-95-22 belonging to cluster VII and T-44 and SML-286 belonging to cluster V has the highest intercluster distance and can be used for hybridization programme. Among the six characters the number of seeds per pod contributed maximum amount towards divergence. High heritability estimates coupled with high genetic advance was observed for seed yield per plant and number of seeds per pod resembling the action of additive genes in controlling these particular characters and selection would be rewarding for yield improvement.
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility