The present investigation was carried out on thirty-six lentil genotypes at the farm of Bihar Agricultural University, Sabour, Bhagalpur in 2018-19. The genetic divergences were examined using Mahalanobis D2 statistics for two dates of sowing i.e normal sown and late sown condition. The presence of variation among genotypes was revealed by ANOVA for considerable traits which come out as significant for all traits under study except several primary branches per plant, the number of pods per cluster under both normal and late sown condition and the number of seeds per pod in late sown condition. The study on genotypic variability, correlation and path analysis was done to know the direct and indirect relationship on seed yield and yield components for enhancement of economic yield. The total genotypes were grouped into 7 clusters under a timely sown condition such as. Cluster I being the largest comprising 10 genotypes, followed by cluster II with 8 genotypes, cluster III with 7 genotypes, cluster IV had 6 genotypes. Cluster V with 3 genotypes and cluster VI and cluster VII was monogenic. Coming to late sown condition, five clusters were formed displaying cluster II with a maximum number of genotypes (18 genotypes) followed by cluster I (11genotypes), cluster III (5 genotypes) and lastly, cluster IV and V were Adan et al.; CJAST, 39(2): 57-62, 2020; Article no.CJAST.50168 58 monogenic. 100 seed weight contributed maximum towards genetic divergence followed by grain yield per plant and number of pods per plant in timely sown and 100 seed weight chased by the number of pods per plant and number of secondary branches per plant under a late sown environment which can be integrated into the enhancement of productivity of lentil. Owing to the results of inter-cluster distance and mean performance of clusters for different traits, the genotypes such as FLIP 2010-86L and X2011S-172-1 under normal sown and likewise, Pusa Vaibhav and IPL-406 under late sown environment are expected to trigger the heterotic combination and obtain the desirable segregants for yield and its determinants.
Original Research Article
The current experiment was held in Summer season, 2018 at rice upland 1, near rice bore well of Bihar Agricultural University, Sabour, Bhagalpur, Bihar, India. The experiment was done by 36 Mungbean genotypes at rice upland 1, near rice bore well of Bihar Agricultural University, Sabour, Bhagalpur in 2018. The analysis of variance (ANOVA) disclosed highly significant differences for all the traits studied in the experiment among all the genotypes. The genetic diversity was estimated by D2 analysis. The 36 genotypes were grouped into 11 distinct clusters with cluster 4 to cluster 11 consisting of one genotype each. The maximum inter-cluster distance was found between cluster 11 and cluster 3 where maximum intracluster distance was found within cluster 2. The characters like Harvest index, the number of clusters per plant, seed yield per plant and days to maturity contribute maximum towards genetic divergence. The hybridization between the clusters 11 & 3 could give maximum heterosis and better desirable segregants.
A set of 48 rice genotypes were evaluated to study the inter-relationship among yield and yield attributing traits under irrigated condition during Kharif 2018 at
Aim: The current experiment was conducted to study correlation and path analysis among morphological traits and their contribution towards yield under irrigated and drought stress condition using forty eight diverse rice genotypes.
Study Design: The experiment was studied in three replications using Randomized Block Design.
Place and Duration of Study: The research was carried out during Kharif 2018 at Rice Research Farm, Bihar Agricultural University, Sabour (Bhagalpur), India.
Methodology: The experiment was conducted in two different sets; irrigated and drought stress condition. The yield and yield attributes were recorded under both the conditions to conduct the correlation and path analysis.
Results: The analysis of variance revealed that genotypes significantly varied in yield and yield related traits. In addition, growth and yield attributes such as effective tillers per hill, biological yield, harvest index (%) and number of fertile grains per panicle were significantly and positively correlated with grain yield per plant under irrigated as well as reproductive stage drought stress condition. It was observed that total number of grains per panicle, number of fertile grains per panicle and biological yield had high positive direct effect on grain yield per plant in both irrigated (control) as well stress condition, indicating true relationship of these characters with grain yield and direct selection for these characters will be rewarding. In rest of the characters studied, correlation was mainly due to indirect effects through component characters and hence indirect selection will lead to yield improvement in rice.
Conclusion: The potential for direct and indirect selection for reproductive stage drought stress tolerance using the associated characters may be useful to the breeder to formulate appropriate breeding plans for the selection of the genotype which tolerate high temperature condition.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.