20 research outputs found

    Qualitative characterization and clustering in tomato (Solanum lycopersicum L.) germplasm accessions

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    Most of the tomato genotypes are inbred in nature, indicating the need to assess and characterize germplasm accessions as they are the reserve for genotypes with desired traits. Documentation on morphological traits is quite informative in tomato breeding programs since higher levels of diversity on morphological traits are associated with genotypes with lower genetic diversity when assessed using molecular markers. The present investigation aimed to evaluate morphological diversity in tomato germplasm accessions. Morphological characterization was performed in 104 genotypes acquired from various sources. Thirty-three morphological traits, such as seedling, plant, inflorescence and fruit, were scored based on the tomato descriptors. Out of 33 characters studied, 26 traits exhibited diverse modalities, 4 traits exhibited varied classes in genotypes and 3 traits did not show any variants. Qualitative characterization highlighted greater variability among genotypes, as witnessed by their diverse modalities for each trait. The collected data was subjected to Agglomerative Hierarchical Clustering following Ward’s method. Cluster analysis and dendrogram construction displayed genetic diversity's richness in the germplasm accessions. Cluster analysis placed these 104 genotypes in six clusters. The largest cluster comprised 55 genotypes, whereas the smallest cluster had three. Agglomerative Hierarchical Clustering helped to find similarities between genotypes. This efficiently assigned genotypes into groups and thus provided guidelines for parental selection in tomato hybridization and breeding programmes.

    Artificial Selection Of Elite Okra Accessions (Abelmoschus Esculentus (L.) Moench)Via Cluster Analysis

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    Forty-eight okra accessions were subjected to a replicated field trial arranged in a Randomized Complete Block Design (RCBD) to examine the genetic dissimilarity and distances pertaining to quantitative traits. Mahanalobis D2 analysis portioned the genotypes into ten separate clusters. Cluster II constituted the largest group followed by cluster III. Also three solitary clusters (VII, IX, and X) were reported. In compliance with genetic distances, cluster IV, VIII and VI had broad divergent genotypes within them along with wide genetic dissimilarity was between the clusters VII and X, following I and X, I and IX. Cluster IX had genotypes with high cluster means for fruit yield than others. Among various morphological characters, fruit yield per plant alone contribute nearly 36 per cent toward divergence preceded by days to first flower, and plant height at 80 per cent maturity. Therefore, top priority in artificial selection of diverse parents might be given to the genotypes in clusters I, II, VII and IX for attempting improvement of complex traits in okra

    Exploration Of Genetic Variations In Okra [Abelmoschus Esculentus (L.) Moench] Accessions Based On Quantitative Morphometric Traits

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    Within a species population, the amount of diversification is reflected by its genetic variability as it enumerates the genetical and environmental favour on that population. In terms of this, forty eight okra collections were field investigated in RCB design during 2022 as a summer crop. Significant difference among the collected okra accessions was statistically proven by ANOVA. Per se range for okra traits clarified the elaborate variation for fruit yield and others. As always, GCV was marked as lower than PCV which signalled the error regarding environment. Genetic advance along with heritability was noticed high for most of the traits especially yield and its related components that entrusted the selection of traits on phenotype for new trait based expectations perpetually in okra

    D2 analysis of rice germplasm for some quantitative and quality traits

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    An investigation was carried out with 41 rice genotypes to identify diverse genotypes. They were evaluated for nine yield and yield attributing characters using Mahalanobis D2 statistics. The analysis of variance revealed significant differences among the genotypes for all the characters studied. Based on the genetic distance all the 41 genotypes were grouped under thirteen different clusters. The mode of distribution of genotypes from different eco-regions into various clusters was at random indicating that geographical diversity and genetic diversity were not related. The maximum inter-cluster distance was recorded between clusters III and XIII and the maximum intra-cluster distance was found in cluster XI followed by VI. The characters like number of grains per panicle, plant height, grain length and grain breadth contributed maximum towards genetic diversity. Hence these characters could be given due importance for selection of genotypes for further crop improvement programme

    Employing bioactive compounds derived from Ipomoea obscura (L.) to evaluate potential inhibitor for SARS‐CoV‐2 main protease and ACE2 protein

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    Abstract Angiotensin converting enzyme 2 (ACE2) and main protease (MPro) are significant target proteins, mainly involved in the attachment of viral genome to host cells and aid in replication of severe acute respiratory syndrome‐coronaviruses or SARS‐CoV genome. In the present study, we identified 11 potent bioactive compounds from ethanolic leaf extract of Ipomoea obscura (L.) by using GC‐MS analysis. These potential bioactive compounds were considered for molecular docking studies against ACE2 and MPro target proteins to determine the antiviral effects against SARS‐COV. Results exhibits that among 11 compounds from I. obscura (L.), urso‐deoxycholic acid, demeclocycline, tetracycline, chlorotetracycline, and ethyl iso‐allocholate had potential viral inhibitory activity. Hence, the present findings suggested that chemical constitution present in I. obscura (L.) will address inhibition of corona viral replication in host cells

    Genetic Studies for Determination of Yield Components in Rice (Oryza sativa L.) Varieties under Saline Conditions Pooled Over Seasons

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    The current study was conducted on 50 rice genotypes to evaluate the pooled correlation and path analysis of various biometrical traits viz., fifty percent flowering, plant height, panicle length, number of tillers per panicle, number of productive tillers per plant, number of grains per panicle, 100 seed weight with seed yield per plant of three seasons under salinity. The analysis of variance pooled over seasons revealed that all eight traits were highly significant thus indicating the existence of high genetic variability among the genotypes for all the traits and suggest the possibility of improving yield under saline condition. The pooled correlation analysis indicated that seed yield per plant has exhibited significant positive correlation with total number of tillers per plant, number of productive tillers per plant, panicle length and number of seeds per panicle. Thus, selection pressure could be applied for increasing the seed yield per plant under saline situation. From the path analysis studies, it was understood that the characters viz., number of productive tillers per plant, panicle length and number of seeds per panicle might be applied with selection pressure directly or indirectly to improve seed yield per plant and the characters studied for seed yield per plant is sufficient and sufficiently control the expression of seed yield in rice under saline situation due to their low residual effect
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