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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 , the authors identify the long non-coding RNAs and circular RNAs (circRNAs) by taking two contrasting genotypes, DC-48 and DC-83, at two different fruit developmental stages.
Abstract: Cucumber is an extremely perishable vegetable; however, under room conditions, the fruits become unfit for consumption 2–3 days after harvesting. One natural variant, DC-48 with an extended shelf-life was identified, fruits of which can be stored up to 10–15 days under room temperature. The genes involved in this economically important trait are regulated by non-coding RNAs. The study aims to identify the long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs) by taking two contrasting genotypes, DC-48 and DC-83, at two different fruit developmental stages. The upper epidermis of the fruits was collected at 5 days and 10 days after pollination (DAP) for high throughput RNA sequencing. The differential expression analysis was performed to identify differentially expressed (DE) lncRNAs and circRNAs along with the network analysis of lncRNA, miRNA, circRNA, and mRNA interactions. A total of 97 DElncRNAs were identified where 18 were common under both the developmental stages (8 down regulated and 10 upregulated). Based on the back-spliced reads, 238 circRNAs were found to be distributed uniformly throughout the cucumber genomes with the highest numbers (71) in chromosome 4. The majority of the circRNAs (49%) were exonic in origin followed by inter-genic (47%) and intronic (4%) origin. The genes related to fruit firmness, namely, polygalacturonase, expansin, pectate lyase, and xyloglucan glycosyltransferase were present in the target sites and co-localized networks indicating the role of the lncRNA and circRNAs in their regulation. Genes related to fruit ripening, namely , trehalose-6-phosphate synthase, squamosa promoter binding protein, WRKY domain transcription factors, MADS box proteins, abscisic stress ripening inhibitors, and different classes of heat shock proteins (HSPs) were also found to be regulated by the identified lncRNA and circRNAs. Besides, ethylene biosynthesis and chlorophyll metabolisms were also found to be regulated by DElncRNAs and circRNAs. A total of 17 transcripts were also successfully validated through RT PCR data. These results would help the breeders to identify the complex molecular network and regulatory role of the lncRNAs and circRNAs in determining the shelf-life of cucumbers.

2 citations

Journal Article
TL;DR: In this article, the diffusion coefficient has been empirically correlated with the process variables and a high degree of correlation (R2 = 0.91) was observed between predicted and experimental values.
Abstract: Mass transfer during osmotic dehydration of banana has been studied with respect to the solution concentration (30–70°Brix), temperature (25–65°C) and solution to sample ratio (1–9). The diffusion coefficients have been calculated using the sorption data by a method of successive approximations. The diffusion coefficient has been empirically correlated with the process variables and a high degree of correlation (R2 = 0.91) was observed between predicted and experimental values. The solution of Fick's Law for unstady state mass transfer in a plane sheet has been used to predict the moisture ratios over the entire experimental range. The error between the observed and the predicted values of moisture ratios was less than 10% indicating the adequacy of diffusion coefficient estimation.

2 citations

16 Nov 2015
TL;DR: In this paper, the analytical procedure in agricultural experiments under block design setup when neighbour effects also affects the response of a particular plot of a block has been explained, and neighbour effects up to distance 2 (second order) have been considered.
Abstract: In agricultural experiments, neighbour effects from the adjacent units pays a significant role in the precise comparison among treatment effects. In this paper, the analytical procedure in agricultural experiments under block design setup when neighbour effects also affects the response of a particular plot of a block has been explained. Here, neighbour effects up to distance 2 (second order) have been considered. The method of analysis has been illustrated using hypothetical data for 11 genotypes. The result shows the significance of incorporating all the neighbour effects up to distance 2 in the analysis. Further, multiple range comparison among genotype effects in the presence of all other effects using Tukey-Kramer test was performed using SAS 9.3

2 citations

Journal Article
TL;DR: In this study estimates of cost rearing and maintenance of different categories of goats were obtained on the basis of the data collected from 324 selected households in rural area of Mathura district (U.P).
Abstract: In this study estimates of cost rearing and maintenance of different categories of goats were obtained on the basis of the data collected from 324 selected households in rural area of Mathura district (U.P.). It was observed that family labour was the major component accounting 67 per cent of the gross cost. The cost of rearing of male kid from birth till one year of age was estimated to be Rs. 366 while it is Rs. 346 In case of female kid. The maintenance cost of an adult goat of either sex was Rs. 51 per month.

2 citations

Proceedings Article
01 Jan 2009
TL;DR: Approach for multiple pattern extraction from obtained individual clusters is presented in this paper and applicability of the approach is demonstrated using soybean disease dataset from machine learning repository.
Abstract: Approach for multiple pattern extraction from obtained individual clusters is presented in this paper. Pattern extraction supports the end users in understanding the cluster concept. Pattern discovery approach uses reduct from rough set theory to find out non-significant attributes in pattern formation. These non-significant attributes (reduct) are removed and remaining attributes are ranked for their significance in the cluster. Multiple pattern formulation approach uses ranked attributes and results in generation of meaningful, concise cluster patterns. Applicability of the approach is demonstrated using soybean disease dataset from machine learning repository. Objective of applying proposed approach on soybean disease clusters is to obtain the different disease patterns.

2 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