22 research outputs found

    Analysis of seed protein diversity in Cicer arietinum L. genotypes with different seed coat colour using SDS-PAGE

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    SDS-PAGE technique was used for the study of seed protein polymorphism among three genotypes of Cicer arietinum with different seed coat colour. A total of 24 polypeptide bands were recorded. Out of these 20 were common among all three genotypes and 4 (16.66%) were polymorphic. The data analysis using UPGMA clustering revealed that genotypes with C2 (dark brown) and C3 (black) were closer as compared to genotype with C1 (light brown) coat colour. Jaccard similarity coefficient value ranged from 0.87 to 0.92. The similarity matrix was subjected to UPGMA clustering to generate dendrogram. The most closely revealed genotypes were C2 (dark brown) and C3 (black) with the highest similarity index 0.92 whereas, C1 (light brown) showed minimum similarity index with C3 (black) genotype 0.87. Each of three genotypes of C.arietinum had some polypeptide bands which were peculiar to them only. This enabled distinguishing all three genotypes on the basis of specific polypeptide fragments using SDS-PAGE analysis

    Transformer-based Flood Scene Segmentation for Developing Countries

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    Floods are large-scale natural disasters that often induce a massive number of deaths, extensive material damage, and economic turmoil. The effects are more extensive and longer-lasting in high-population and low-resource developing countries. Early Warning Systems (EWS) constantly assess water levels and other factors to forecast floods, to help minimize damage. Post-disaster, disaster response teams undertake a Post Disaster Needs Assessment (PDSA) to assess structural damage and determine optimal strategies to respond to highly affected neighbourhoods. However, even today in developing countries, EWS and PDSA analysis of large volumes of image and video data is largely a manual process undertaken by first responders and volunteers. We propose FloodTransformer, which to the best of our knowledge, is the first visual transformer-based model to detect and segment flooded areas from aerial images at disaster sites. We also propose a custom metric, Flood Capacity (FC) to measure the spatial extent of water coverage and quantify the segmented flooded area for EWS and PDSA analyses. We use the SWOC Flood segmentation dataset and achieve 0.93 mIoU, outperforming all other methods. We further show the robustness of this approach by validating across unseen flood images from other flood data sources.Comment: Presented at NeurIPS 2021 Workshop on Machine Learning for the Developing Worl

    Assessment of genetic fidelity of long term micropropagated shoot cultures of <em>Achras sapota</em> L. var. ‘Cricket Ball’ as assessed by RAPD and ISSR markers

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    492-495RAPD and ISSR molecular markers were employed to evaluate genetic fidelity of shoots of Achras sapota L. var. ‘Cricket Ball’ raised through nodal bud cultures. Out of 53 RAPD and 60 ISSR primers screened, 34 RAPD and 20 ISSR primers generated a total of 270 and 120 clear and scorable amplification products, respectively. All the shoot cultures analyzed at different culture passages showed similar RAPD and ISSR profiles as compared to that of mother plant. No genetic variation was observed in in vitro shoot cultures. The results indicated the genetic stability of the tissue culture raised shoot cultures of A. sapota and corroborate the assumption that axillary multiplication is the safest mode for multiplication of true to type plants without any somaclonal variation

    Monitoring of Mechanical Seals in Process Pumps

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    Monitoring of Mechanical Seals in Process Pumps

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    Monitoring of Mechanical Seals in Process Pumps

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    Molecular analysis of variability among genotypes of <i style="mso-bidi-font-style:normal">Abrus precatorius </i><span style="mso-bidi-font-style:italic">L. with different seed coat colours using RAPD and ISSR markers </span>

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    273-276Three genotypes of a medicinal, climbing herb Abrus precatorius L. (Family: Fabaceae), having different seed coat colour (red, black and white), were subjected to molecular analysis using PCR based RAPD and ISSR markers. Twenty RAPD (decamers) and fourteen ISSR primers were screened for their amplification potential. Of which 12 RAPD and 5 ISSR primers produced clear and reproducible amplified products. These primers yielded a total of 149 amplified fragments with an average of 8.76 bands per primer including 14 (9.39%) polymorphic fragments. In the study, ISSR fingerprinting (14.28%) detected more polymorphic loci as compare to RAPDs (7.89%). The data analyses based on Jaccard’s similarity coefficient and UPGMA cluster analysis revealed that genotypes with black and white seed coats were more diverse as compared to genotype with red seed coat. Combined data of RAPD and ISSR further revealed that Abrus with white seed coat was more closely related to those having red seed coat. </span
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