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Institution

Indian Agricultural Statistics Research Institute

FacilityNew 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
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Journal ArticleDOI
TL;DR: In this article, a model-based direct estimator (MBDE, Chandra and Chambers) of the small-area distribution function is proposed, defined as a weighted sum of sample data from the area of interest, with weights derived from the calibrated spline-based estimate of the finite-population distribution function introduced by Harms and Duchesne, under an appropriately specified regression model with random area effects.
Abstract: Summary Much of the small-area estimation literature focuses on population totals and means. However, users of survey data are often interested in the finite-population distribution of a survey variable and in the measures (e.g. medians, quartiles, percentiles) that characterize the shape of this distribution at the small-area level. In this paper we propose a model-based direct estimator (MBDE, Chandra and Chambers) of the small-area distribution function. The MBDE is defined as a weighted sum of sample data from the area of interest, with weights derived from the calibrated spline-based estimate of the finite-population distribution function introduced by Harms and Duchesne, under an appropriately specified regression model with random area effects. We also discuss the mean squared error estimation of the MBDE. Monte Carlo simulations based on both simulated and real data sets show that the proposed MBDE and its associated mean squared error estimator perform well when compared with alternative estimators of the area-specific finite-population distribution function.

11 citations

Journal ArticleDOI
TL;DR: In this article, an estimator of population total using the calibration approach under the assumption that the auxiliary variable is negatively correlated with the study variable is developed. And the proposed estimator outperforms the usual product estimator in terms of the criteria of bias and mean square error.
Abstract: An estimator of population total is developed using the calibration approach under the assumption that the auxiliary variable is negatively correlated with the study variable. The proposed estimator outperforms the usual product estimator in terms of the criteria of bias and mean square error. An improved estimator of the variance of the proposed estimator is developed using the calibration approach a second time. The two-phase sampling case has also been dealt with. The theoretical results are demonstrated through a simulation study.

11 citations

Journal ArticleDOI
TL;DR: It is revealed that NBS-encoding genes can be exploited from the primary gene pool for disease resistance breeding in rice by performing a stringent genome-wide identification in three cultivated and eight wild Oryza species.
Abstract: NBS-encoding genes play a critical role in the plant defense system. Wild relatives of crop plants are rich reservoirs of plant defense genes. Here, we performed a stringent genome-wide identification of NBS-encoding genes in three cultivated and eight wild Oryza species, representing three different genomes (AA, BB, and FF) from four continents. A total of 2688 NBS-encoding genes were identified from 11 Oryza genomes. All the three progenitor species of cultivated rice, namely O. barthii, O. rufipogon, and O. nivara, were the richest reservoir of NBS-encoding genes (214, 313, and 307 respectively). Interestingly, the two Asian cultivated species showed a contrasting pattern in the number of NBS-encoding genes. While indica subspecies maintained nearly equal number of NBS genes as its progenitor (309 and 313), the japonica subspecies had retained only two third in the course of evolution (213 and 307). Other major sources for NBS-encoding genes could be (i) O. longistaminata since it had the highest proportion of NBS-encoding genes and (ii) O. glumaepatula as it clustered distinctly away from the rest of the AA genome species. The present study thus revealed that NBS-encoding genes can be exploited from the primary gene pool for disease resistance breeding in rice.

11 citations

Journal ArticleDOI
TL;DR: Higher pH decreases the t1/2 of Cd in soil solution, indicating that higher pH (alkaline) is not a serious concern in Cd toxicity than lower pH (acidic), and the energy of activation values suggested that there is an energy barrier for product formation.
Abstract: A study on the sorption kinetics of Cd from soil solution to soils was conducted to assess the persistence of Cd in soil solution as it is related to the leaching, bioavailability, and potential toxicity of Cd. The kinetics of Cd sorption on two non-contaminated alkaline soils from Canning (22° 18' 48.02″ N and 88° 39' 29.0″ E) and Lakshmikantapur (22° 06' 16.61″ N and 88° 19' 08.66″ E) of South 24 Parganas, West Bengal, India, were studied using conventional batch experiment. The variable soil suspension parameters were pH (4.00, 6.00, 8.18, and 9.00), temperatures (308, 318, and 328 K) and Cd concentrations (5-100 mg L(-1)). The average rate coefficient (kavg) and half-life (t1/2) values indicate that the persistence of Cd in soil solution is influenced by both temperature and soil suspension pH. The concentration of Cd in soil solution decreases with increase of temperature; therefore, Cd sorption on the soil-solution interface is an endothermic one. Higher pH decreases the t 1/2 of Cd in soil solution, indicating that higher pH (alkaline) is not a serious concern in Cd toxicity than lower pH (acidic). Based on the energy of activation (Ea) values, Cd sorption in acidic pH (14.76±0.29 to 64.45±4.50 kJ mol(-1)) is a surface control phenomenon and in alkaline pH (9.33±0.09 to 44.60±2.01 kJ mol(-1)) is a diffusion control phenomenon The enthalpy of activation (ΔH∓) values were found to be between 7.28 and 61.73 kJ mol(-1). Additionally, higher positive energy of activation (ΔG∓) values (46.82±2.01 to 94.47±2.36 kJ mol(-1)) suggested that there is an energy barrier for product formation.

10 citations

Journal ArticleDOI
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


Authors

Showing all 462 results

NameH-indexPapersCitations
Sunil Kumar302303194
Atmakuri Ramakrishna Rao211091803
Charanjit Kaur20804320
Anil Rai202081595
Ranjit Kumar Paul1793875
Hukum Chandra1775825
Sudhir Srivastava17691123
Krishan Lal16681022
Ashish Das151461218
Eldho Varghese15127842
Deepti Nigam1429812
Mir Asif Iquebal1488604
Rajender Parsad1398799
Deepak Singla1332422
Prem Narain1380503
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202212
2021134
2020107
201951
201868