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 successful attempt for development of species specific approach for prediction/classification of AMPs, which may be used further as a model in other species as well.
5 citations
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TL;DR: This ontology is built in the Protege OWL editor from Domain to Genus level and a query interface can be developed that will help detailed study of microbial taxonomy, classification of microbes as well as exchange knowledge between software agents and systems.
5 citations
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TL;DR: In this paper, a statistical procedure of path coefficient analysis was applied to the data pertaining to grain yield, yield parameters, and N uptake during different periods of rice growth, in three field experiments.
Abstract: Data pertaining to grain yield, yield parameters, and N uptake during different periods of rice growth, in three field experiments, were subjected to the statistical procedure of path coefficient analysis. The observed grain yield response to the applied fertilizer N was predominantly reflected in an increased panicle density and spikelet number. The 1,000‐grain weight was only slightly influenced by N fertilization. Since both panicle density and spikelet number are known to be largely determined within 70 days after transplanting (DAT), N uptake during this ‐period was found to be critical to achieve a maximum grain yield response to applied N. The K uptake during 0–40 DAT correlated positively with panicle density, whereas absorption of N during 40–70 DAT determined both panicle density and spikelet number. Since N uptake during 0–20 DAT exerted a significant positive influence on grain yield through increased panicle density, the basal application of a part of fertilizer at the time of transp...
5 citations
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TL;DR: An online web genomic resource, BanSatDB, is described, having the highest number (>341,000) of putative STR markers from Musa genera so far, represented by three species: M. acuminata, M. balbisiana, and M. itinerans.
Abstract: The genus Musa is one of three genera in the family Musaceae, which includes bananas and plantains, which are monocotyledonous plants. Bananas have valuable nutritional content of vitamin C, B6, minerals, and dietary fiber and are a rich food energy source, given that carbohydrates account for 22%–32% of fruit weight. Molecular markers are valuable for crop improvement and population genetics studies. The availability of whole-genome sequence and in silico approaches has revolutionized bulk marker discovery. We describe an online web genomic resource, BanSatDB ( http://webtom.cabgrid.res.in/bansatdb/ ) having the highest number (>341,000) of putative STR markers from Musa genera so far, represented by three species: M. acuminata (110,000), M. balbisiana (107,000), and M. itinerans (124,000) from 11 chromosomes of each species. BanSatDB has also been populated with 580 validated STR markers from the published literature. It is based on a three-tier architecture using MySQL, PHP and Apache. The markers can be retrieved by use of multiple search parameters including chromosome number(s), microsatellite types (simple or compound), repeat nucleotides (1–6), copy number, microsatellite length, pattern of repeat motif, and chromosome location. These markers can be used for Distinctness, Uniformity and Stability (DUS) tests of variety identification and for marker assisted selection (MAS) in variety improvement and management. These STRs have also proved to be helpful in classification of Musa germplasm to distinguish individual accessions and in the development of a standardized procedure for genotyping. These markers can also be used in gene discovery and QTL mapping. The database represents a source of markers for developing and implementing new approaches for molecular breeding, which are required to enhance banana productivity.
5 citations
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TL;DR: Correlations between body weight at 11 wk of age and CMI, HI, cytotoxic T cell were −0.093, 0.047, and 0.036, respectively.
5 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 |