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.
Topics: Population, Small area estimation, Gene, Mean squared error, Estimator
Papers published on a yearly basis
Papers
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04 Mar 2016
TL;DR: The overall codon usage analysis showed that codons ending with G and C are preferred more in the rhizobium genome than codon ending with A and T, which revealed that compositional constraints along with translational selection are the major cause ofcodon usage bias.
Abstract: Bacteria from genus Rhizobium have ability to fix atmospheric nitrogen in symbiosis with leguminous plants resulting in formation of root nodules. They act as an alternate source of nitrogenous fertilizers. The study of codon usage patterns of Rhizobium species is gaining increasing attention over the times. In the present study three strains of Rhizobium namely Sinorhizobium meliloti 1021, Bradyrhizobium japonicum USDA110 and Rhizobium tropici CIAT899 whose complete genome sequence are available were retrieved from NCBI for the analysis of codon usage. The overall codon usage analysis showed that codons ending with G and C are preferred more in the rhizobium genome than codon ending with A and T. ENc plot revealed that compositional constraints along with translational selection are the major cause of codon usage bias. Correspondence analysis (COA) showed that the variation in codon usage is accounted mainly by the first two axes. From the Pearson correlation analysis significant correlation was identified among the first axis of COA and Codon adaptation index (CAI) and other factors of codon usage bias. 17 optimal codons were identified that were shared among these three strains.
1 citations
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TL;DR: In this article, the authors review the evolution of tractor use in India in the past few decades, and supplement this with a panel model analysis using factors associated with state-level tractor density growth.
Abstract: This study reviews the evolution of tractor use in India in the past few decades, and supplements this with a panel model analysis using factors associated with state-level tractor density growth. Growth in tractor use in India, unlike that in the United States and Japan, has occurred at relatively low wage rates and with a substantial majority of the workforce remaining in the agricultural sector. Considerable growth in domestic manufacturing has contributed to growth in tractor densities. Tractor density across the 14 major states in India between 1982 and 2012 was positively affected by income per capita, cropping intensity, and the average size of farmland holdings. Tractor intensity grew at a fast pace even in low-wage regions of India, indicating that relatively lower labor wages might not have been a binding factor for diffusion of farm machinery and tractors among smallholding farmers in India.
1 citations
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TL;DR: In this article, the authors studied the current status of fisheries and its management while simultaneously delineating the changes that had happened during the intervening period of three decades with respect to fish species diversity, trophic status and catch trends within the specific fisheries.
Abstract: Reservoirs are the major inland fisheries resources
in India. These open water bodies hold tremendous
potential for optimizing the fish production in the
country. India has 19,134 small reservoirs, 180
medium reservoirs and 56 large reservoirs with a
total area of 3.54 million ha which offers single most
important inland fisheries resource for the country
in terms of resource size and production potential.1
Gobind Ballabh Pant Sagar (GBS), also known
as Rihand reservoir and located in the Vindhya
region is the largest reservoir in Uttar Pradesh. It
was constructed in 1962 on the river Rihand, a
tributary to Son which in turn joins the Ganga on its
right flank, mainly for the purposes like irrigation,
flood control, electricity generation with fishery
being incidental to this.7 Rihand reservoir lies in the
Renukoot - Singrauli – Sonbhadra industrial region in
extreme south-east of Uttar Pradesh at the junction
of Uttar Pradesh, Bihar, Jharkhand, Chhattisgarh
and Madhya Pradesh states.6
Many scientific studies have been carried out
in past years on several reservoirs of country
covering species diversity, limnology, environment
and ecology, socio-economics and fisheries
management.2,3,4,5,6,7,8,9 Rihand reservoir was
subjected to scientific investigation during 1970s and
1980s10,11, though recently only physico-chemical
aspects on this reservoir have been studied.7 In
spite of being only large reservoir (>5000 ha) of
Uttar Pradesh providing livelihood to thousands
of villagers living around the reservoir (author’s
observation during primary field data collection),
there is dearth of literature available particularly on
the governance and fisheries management status.
Hence, the present study was taken up to understand
the current status of fisheries and its management
while simultaneously delineating the changes that
had happened during the intervening period of three
decades with respect to fish species diversity, trophic
status and catch trends within the specific fisheries
management and governance regime in vogue.
1 citations
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TL;DR: In this article, a Cook-statistic is developed for detecting the effect of a single outlier, where results are illustrated with an example, and influence is often assessed by deleting suspected outlying observations.
Abstract: Diagnostics measures for detecting outliers in data from block designs of experiments with correlated errors are considered. Influence is often assessed by deleting suspected outlying observations. Autocorrelation of order one is considered to model correlation in each block. Cook-statistic is developed for detecting the effect of a single outlier, where results are illustrated with an example.
1 citations
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TL;DR: In this paper, three logistic transformation estimators are proposed to deal with the problem of inadmissible estimates of intra-sire regression heritability (h2) and compared with the estimators of earlier workers.
Abstract: Three logistic transformation estimators are proposed to deal with the problem of inadmissible estimates of intra-sire regression heritability (h2). These are compared with the estimators of earlier workers. The logistic transformation estimator with exponential correction is shown empirically to give more consistent estimates.
1 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 |