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  • 1
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    Online Resource
    Genetic parameters and association analysis for grain yield and yield attributing traits in rice (Oryza sativa L.) germplasm lines
    Action For Sustainable Efficacious Development and Awareness ; 2023
    In:  Environment Conservation Journal Vol. 24, No. 3 ( 2023-04-11), p. 1-7
    Details
    In: Environment Conservation Journal, Action For Sustainable Efficacious Development and Awareness, Vol. 24, No. 3 ( 2023-04-11), p. 1-7
    Abstract: The intensity of trait association and genetic variability of yield attributing variables in 217 rice genotypes was investigated during kharif 2018. The existence of genetic variability among the genotypes was demonstrated by analysis of variance, which recorded significant differences for all the seven studied parameters.  The estimation of variability indicated that  The full grain number per panicle (37.2 % and 34.1 %) & single plant yield (24.7 % and 20.55 %) had the highest intensity of phenotypic coefficients of variation (PCV) and genotypic coefficients of variation ( GCV), and  High heritability along with high genetic advance as a per cent of mean (GAM) was  found in Plant height (98.9 % and 20.8 %), panicle number per plant (95.4 % and 36 %), panicle length(96.8 % and 35.9 %), full grain number per panicle(99.5 % and 61.6 %), thousand seed weight (98.1 % and 40.25 %) and single plant yield (69.2 % and 35.2 %) , depicting additive gene action in inheritance of these parameters. A simple selection procedure can help to enhance these characteristics even further. Correlation and regression coefficient findings indicated that plant height (0.193**) and the full grain number per panicle (0.177**) had a significant impact on single plant yield. The full grain number per panicle (0.265**), followed by thousand seed weight (0.194**) and plant height (0.110**), had the maximum direct positive effect on single plant yield, as per path coefficient analysis. As a result, accessions with a higher full grain number per panicle, thousand seed weight and plant height would be suitable for yield enhancement programme.
    Type of Medium: Online Resource
    ISSN: 2278-5124 , 0972-3099
    URL: Issue
    URL: Article
    DOI: 10.36953/ECJ.2023.2403
    DOI: 10.36953/ECJ.14032416
    Language: Unknown
    Publisher: Action For Sustainable Efficacious Development and Awareness
    Publication Date: 2023
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  • 2
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    Genome-Wide Expression Profiling of Small RNAs in Indian Strain of Rhizoctonia solani AG1-1A Reveals Differential Regulation of milRNAs during Pathogenesis and Crosstalk of Gene Regulation
    MDPI AG ; 2021
    In:  Journal of Fungi Vol. 7, No. 7 ( 2021-07-14), p. 561-
    Details
    In: Journal of Fungi, MDPI AG, Vol. 7, No. 7 ( 2021-07-14), p. 561-
    Abstract: Rhizoctonia solani AG1-1A is a necrotrophic fungus that causes sheath blight disease in rice. The reliable resistant source against this phytopathogenic fungus is not available in the gene pool of rice. Better understanding of pathogen genomics and gene regulatory networks are critical to devise alternate strategies for developing resistance against this noxious pathogen. In this study, miRNA-like RNAs (milRNAs) of an Indian strain of R. solani were identified by deep sequencing of small RNAs. We identified 128 known and 22 novel milRNAs from 20,963,123 sequence reads. These milRNAs showed 1725 target genes in the fungal genome which include genes associated with growth, development, pathogenesis and virulence of R. solani. Notably, these fungal milRNAs showed their target genes in host (rice) genome also which were later verified by qRT-PCR. The host target genes are associated with auxin metabolism, hypersensitive response, defense genes, and genes related to growth and development of rice. Osa-vacuolar-sorting receptor precursor: Rhi-milR-13, Osa-KANADI1:Rhi-milR-124, Osa-isoflavone reductase: Rhi-milR-135, Osa-nuclear transcription factor Y:Rhi-milR-131, Osa-NB-ARC domain containing protein: Rhi-milR-18, and Osa-OsFBX438: Rhi-milR-142 are notable potential regulons of host target genes: fungal milRNAs that need to be investigated for better understanding of the crosstalk of RNAi pathways between R. solani and rice. The detailed expression analysis of 17 milRNAs by qRT-PCR was analysed during infection at different time points of inoculation, at different growth stages of the host, in four different genotypes of the host, and also in four different strains of fungi which revealed differential regulation of milRNAs associated with pathogenesis and virulence. This study highlights several important findings on fungal milRNAs which need to be further studied and characterized to decipher the gene expression and regulation of this economically important phytopathogen.
    Type of Medium: Online Resource
    ISSN: 2309-608X
    URL: Article
    DOI: 10.3390/jof7070561
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2784229-0
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  • 3
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    Online Resource
    Multivariate analysis of geographically diverse rice germplasm for genetic improvement of yield, dormancy and shattering-related traits
    Cambridge University Press (CUP) ; 2021
    In:  Plant Genetic Resources: Characterization and Utilization Vol. 19, No. 2 ( 2021-04), p. 144-152
    Details
    In: Plant Genetic Resources: Characterization and Utilization, Cambridge University Press (CUP), Vol. 19, No. 2 ( 2021-04), p. 144-152
    Abstract: A diverse set of 107 rice genotypes was evaluated for yield, shattering and dormancy traits. Analysis of variance revealed sizable variation while skewness and kurtosis values indicated near-normal distribution for most of the traits, thus quantitative nature controlled by many genes. A highly significant deviation from a normal distribution for dormancy and shattering % indicated their qualitative nature of inheritance. Four promising genotypes ‘IRGC1723’ (early with 65 days to flowering), ‘IRGC 11108’ and ‘RNR 15459’ (high grain number – 358 and low average shattering – 〈 5%), ‘RNR 11718’ (high single plant yield – 56.73 g, low average shattering – 〈 5% and dormancy period – 21 days) are identified. A significant positive correlation between shattering and dormancy confirms inter-relationship among domestication-related characteristics. The principal component analysis revealed the contribution of four PCs to maximum variability and hierarchical clustering grouped the genotypes into 18 divergent clusters. Five cultivars (Karimnagar Samba, Sheetal, PR 121, Pranahitha and Jagitial Samba) with a combination of low shattering ability (3.35–5.7%) and considerable dormancy period (13–20 days) falling in the same cluster can be used as donors for the improvement of rice genotypes with low shattering ability and incorporating a considerable period of dormancy so as to avoid pre-harvest sprouting due to delayed harvesting. Further, they can be crossed with ‘Pratyumna’ having less than 1 week dormancy period, a genotype of the cluster XVII with which they have a maximum genetic divergence of 51.4 and may serve as parents in the development of mapping populations for the identification of QTLs/genes for shattering and dormancy traits.
    Type of Medium: Online Resource
    ISSN: 1479-2621 , 1479-263X
    URL: Article
    DOI: 10.1017/S1479262121000186
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2180556-8
    SSG: 12
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