Indian Agricultural Statistics Research Institute

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.

Optimization Under Multiple Frame Sampling for Multivariate Stratification

Abstract: Skinner (1991) estimated population total using different stratifying variables for drawing samples, and then used estimation procedure of multiple frame sampling. No optimization aspect of the sample number was considered. In this paper the allocation problem as found by minimizing the variance subject to suitable cost function have been attempted under multiple frame sampling for multivariate stratification.

State-of-the-Art Information Retrieval Tools for Biological Resources

Abstract: With the advancements in sequencing technologies, there is an exponential growth in the availability of the biological databases. Biological databases consist of information and knowledge collected from scientific experiments, published literature and statistical analysis of text, numerical, image and video data. These databases are widely spread across the globe and are being maintained by many organizations. A number of tools have been developed to retrieve the information from these Shashi Bhushan Lal ICAR-Indian Agricultural Statistics Research Institute, India Anu Sharma ICAR-Indian Agricultural Statistics Research Institute, India Krishna Kumar Chaturvedi ICAR-Indian Agricultural Statistics Research Institute, India Mohammad Samir Farooqi ICAR-Indian Agricultural Statistics Research Institute, India Sanjeev Kumar ICAR-Indian Agricultural Statistics Research Institute, India Dwijesh Chandra Mishra ICAR-Indian Agricultural Statistics Research Institute, India Mohit Jha ICAR-Indian Agricultural Statistics Research Institute, India State-of-the-Art Information Retrieval Tools for Biological Resources

Meta-analysis of potential miRNA in Triticum astivum reveals their genome biased association with different metabolisms EST based potential miRNA identification in wheat

Abstract: MicroRNAs (miRNAs) are the key modulators implicated in the regulation of virtually every biological process found in multicellular eukaryotes. Wheat (Triticum aestivum) is one of the most important cereal crops worldwide. To date, only a few conserved miRNAs have been reported in wheat and their association with different metabolic process is still in dark. Therefore, the present study we attempt to predict miRNA and their association with metabolic pathways in wheat. Total 39 potential mature miRNA's were predicted using 1287279 ESTs of wheat and 8496 known mature miRNA's, along with their precursor sequences, of Viridiplantae. Overall, 11380 genome wise target genes across 21 chromosomes were identified and functionally characterized via meta-analysis. As a result, genome wise miRNA-targets signatures under different conditions and their regulatory pathways along with network structures were examined. Here, a concept of “miRNA community” was proposed and a miRNA community linked with nitrogen metabolism was identified. Top two potential miRNA's from this community were verified by stem loop pulsed RT-PCR for their expression in root and leaf tissue under nitrogen starvation. Exploration of such type of miRNAs communities will provide in depth understanding of metabolic processes that may leads to improved genotypes.

Evaluation of Bt cotton effects on belowground microbial community structure and function in tropical western India

Abstract: An experiment was executed at field condition to evaluate ecological impact of Bt cotton (Mech 162 + Bt) on soil microbes and Bt protein behavior in soil. Root exudates of Bt cotton plant containing Bt protein enter into soil which persisted in soil for atleast 235 days after sowing (DAS). During vegetative and flowering stage, Bt protein was not detectable in both qualitative and quantitative assay but, during onset of boll formation at 150 DAS, a level of 0.0013 μg/g of Cry 1Ac protein was quantified in rhizospheric soil which further increased exponentially up to 0.0033 μg/g at 195 DAS and then maintained at the same level till 235 DAS with Cry1Ac expression level of 0.0029 μg/g soil. Rhizospheric soil of Bt cotton had significantly higher (p < 0.05) abundance of Fatty Acid Methyl Esters (FAME) of gram positive bacteria. Abundance of polyunsaturated FAMEs that are indicators of fungi, were slightly higher in Bt as compared to non-Bt cotton soils. The metabolic profiling, also called community level physiological profiling (CLPP) showed more microbial functional diversity (Shannon–Wiener Diversity) in soil samples of different growth stages of Bt cotton than its corresponding non-Bt variety. Our results showed that Cry 1AC Bt protein persists in clay loamy soil even after harvesting and significantly altered microbial community composition and functional diversity in rhizospheric soil of Bt cotton than non-Bt. Any possible and unintentional changes in composition of root exudes of Bt cotton could regulate the selection of different microbial communities and thus can alter functional responses.