Institution
Indian Agricultural Statistics Research Institute
Facility•New Delhi, India•
About: Indian Agricultural Statistics Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Small area estimation. The organization has 454 authors who have published 870 publications receiving 7987 citations.
Papers published on a yearly basis
Papers
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TL;DR: This is the first report of RWD transcriptome database having candidate genes and pathway discovery along with genic simple sequence repeats, SNPs, indels to be used as functional domain markers.
10 citations
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TL;DR: In this article, a computational approach is applied to predict putative miRNA candidates along with their possible target(s) in the Heliothis virescens, a polyphagous pest of many crops and vegetables.
Abstract: Heliothis virescens, a polyphagous pest, is one of the most destructive pests of many crops and vegetables. Various insecticides and pesticides are used by agriculturalists to stop the growth and development of this pest. RNA interference is a new area for the management of pests/insects by inhibiting the growth related RNAs. This involves the miRNAs identification and its characterization. In the present study, computational approach is applied to predict putative miRNA candidates along with their possible target(s) in the Heliothis virescens. A total of 63,662 ESTs were downloaded from dbEST database and processed, trimmed and masked through EGassembler. The H. virescens contigs database obtained after assembly was now used to find the putative miRNA candidates by performing a local BLAST with the miRNAs of insects retrieved from miRBase. We have predicted putative miRNA candidates by homology search against all the reported insect miRNAs. These putative miRNAs candidates were further validated and filtered by different features. In addition, we have also attempted to predict the putative targets of these filtered miRNAs, by making use of 3' untranslated regions of mRNAs from B. mori. These miRNAs and their targets in H. virescens will help in improved understanding of molecular mechanisms of miRNA and development of novel and more precise techniques for better understanding some post transcriptional gene silencing.
10 citations
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TL;DR: In this paper, a new family of distanced balanced sampling plans is proposed where second-order inclusion probabilities a nondecreasing function of the distance between the population units is considered.
10 citations
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TL;DR: The proteome data provides direct evidence on the biological processes in soil ecosystem and is the first reported reference data from maize rhizosphere.
10 citations
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Indian Agricultural Research Institute1, Indian Agricultural Statistics Research Institute2, Indian Council of Agricultural Research3, International Maize and Wheat Improvement Center4, Dr Emilio B Espinosa Sr Memorial State College of Agriculture and Technology5, Bidhan Chandra Krishi Viswavidyalaya6, Damanhour University7
TL;DR: In this paper, the impact of three N placement methods, i.e., NPM1, NPM2, and NPM3, under 4-longterm tillage and residue management (+R) options, was assessed.
10 citations
Authors
Showing all 462 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sunil Kumar | 30 | 230 | 3194 |
Atmakuri Ramakrishna Rao | 21 | 109 | 1803 |
Charanjit Kaur | 20 | 80 | 4320 |
Anil Rai | 20 | 208 | 1595 |
Ranjit Kumar Paul | 17 | 93 | 875 |
Hukum Chandra | 17 | 75 | 825 |
Sudhir Srivastava | 17 | 69 | 1123 |
Krishan Lal | 16 | 68 | 1022 |
Ashish Das | 15 | 146 | 1218 |
Eldho Varghese | 15 | 127 | 842 |
Deepti Nigam | 14 | 29 | 812 |
Mir Asif Iquebal | 14 | 88 | 604 |
Rajender Parsad | 13 | 98 | 799 |
Deepak Singla | 13 | 32 | 422 |
Prem Narain | 13 | 80 | 503 |