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.

Functional Screening and Molecular Characterization of Halophilic and Halotolerant Bacteria by 16S rRNA Gene Sequence Analysis

Abstract: A total of 206 bacterial isolates were obtained from soil, water and sediment samples using three different culture media with a pH of 7.3 ± 0.2 and an incubation temperature of 37 °C. Of these isolates, 48 bacteria were selected for functional screening and molecular characterization. The functional screening for salt stress tolerance revealed that, 17 bacteria were identified as moderately halotolerant and 31 were halophilic, capable of growing at 5–15 % (w/v) and ≥15 % (w/v) of NaCl concentration respectively. The 16S rRNA gene sequence analysis and taxonomic identification of isolates were performed using Ribosomal Database Project Release-10 and SILVA SSU database. Based on the sequence length >1,300 bp, 40 bacteria were identified out of 48 isolates. Study showed that, Staphylococcus spp. was highly resistant to salt stress followed by Enterococcus faecalis, Vagococcus fluvialis and Vibrio parahaemolyticus. The phylogenetic analysis revealed that, 24 bacterial isolates belong to Firmicutes and 16 isolates come under Proteobacteria. These bacterial strains would be of great use for prospecting novel and candidate salt stress tolerant genes.

IPPS Sampling Plans Excluding Adjacent Units

Abstract: The concept of inclusion probability proportional to size sampling plans excluding adjacent units separated by at most a distance of m (≥ 1) units {IPPSEA plans} is introduced. IPPSEA plans ensure that the first-order inclusion probabilities of units are proportional to size measures of the units, while the second-order inclusion probabilities are zero for pairs of adjacent units separated by a distance of m units or less. IPPSEA plans have been obtained by making use of binary, proper, and unequireplicated block designs and linear programing approach. The performance of IPPSEA plans using Horvitz–Thompson estimator of population total has been compared with existing sampling plans such as simple random sampling without replacement (SRSWOR), balanced sampling plans excluding adjacent units {BSA (m) plans}, probability proportional to size with replacement, Hartley and Rao's plan (1962), Rao et al.'s strategy (1962), and Sampford's IPPS plan (1967) using a real life population. Unbiased estimation of Horvi...

SBMDb: first whole genome putative microsatellite DNA marker database of sugarbeet for bioenergy and industrial applications

Abstract: DNA marker plays important role as valuable tools to increase crop productivity by finding plausible answers to genetic variations and linking the Quantitative Trait Loci (QTL) of beneficial trait Prior approaches in development of Short Tandem Repeats (STR) markers were time consuming and inefficient Recent methods invoking the development of STR markers using whole genomic or transcriptomics data has gained wide importance with immense potential in developing breeding and cultivator improvement approaches Availability of whole genome sequences and in silico approaches has revolutionized bulk marker discovery We report world’s first sugarbeet whole genome marker discovery having 145 K markers along with 5 K functional domain markers unified in common platform using MySQL, Apache and PHP in SBMDb Embedded markers and corresponding location information can be selected for desired chromosome, location/interval and primers can be generated using Primer3 core, integrated at backend Our analyses revealed abundance of ‘mono’ repeat (7682%) over ‘di’ repeats (1368%) Highest density (67105 markers/Mb) was found in chromosome 1 and lowest density (34127 markers/Mb) in chromosome 6 Current investigation of sugarbeet genome marker density has direct implications in increasing mapping marker density This will enable present linkage map having marker distance of ∼2 cM, ie from 200 to 26 Kb, thus facilitating QTL/gene mapping We also report e-PCR-based detection of 2027 polymorphic markers in panel of five genotypes These markers can be used for DUS test of variety identification and MAS/GAS in variety improvement program The present database presents wide source of potential markers for developing and implementing new approaches for molecular breeding required to accelerate industrious use of this crop, especially for sugar, health care products, medicines and color dye Identified markers will also help in improvement of bioenergy trait of bioethanol and biogas production along with reaping advantage of crop efficiency in terms of low water and carbon footprint especially in era of climate change Database URL: http://webappcabgridresin/sbmdb/

Evaluation of indigenous aromatic rice cultivars from sub-Himalayan Terai region of India for nutritional attributes and blast resistance.

Abstract: Indigenous folk rice cultivars often possess remarkable but unrevealed potential in terms of nutritional attributes and biotic stress tolerance. The unique cooking qualities and blissful aroma of many of these landraces make it an attractive low-cost alternative to high priced Basmati rice. Sub-Himalayan Terai region is bestowed with great agrobiodiversity in traditional heirloom rice cultivars. In the present study, ninety-nine folk rice cultivars from these regions were collected, purified and characterized for morphological and yield traits. Based on traditional importance and presence of aroma, thirty-five genotypes were selected and analyzed for genetic diversity using micro-satellite marker system. The genotypes were found to be genetically distinct and of high nutritive value. The resistant starch content, amylose content, glycemic index and antioxidant potential of these genotypes represented wide variability and ‘Kataribhog’, ‘Sadanunia’, ‘Chakhao’ etc. were identified as promising genotypes in terms of different nutritional attributes. These cultivars were screened further for resistance against blast disease in field trials and cultivars like ‘Sadanunia’, ‘T4M-3-5’, ‘Chakhao Sampark’ were found to be highly resistant to the blast disease whereas ‘Kalonunia’, ‘Gobindabhog’, ‘Konkanijoha’ were found to be highly susceptible. Principal Component analysis divided the genotypes in distinct groups for nutritional potential and blast tolerance. The resistant and susceptible genotypes were screened for the presence of the blast resistant pi genes and association analysis was performed with disease tolerance. Finally, a logistic model based on phenotypic traits for prediction of the blast susceptibility of the genotypes is proposed with more than 80% accuracy.