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.
Papers published on a yearly basis
Papers
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TL;DR: This study is the first to include the largest set of Indian wheat genotypes studied exclusively for genetic diversity, and may serve as a potential source for the identification of uncharacterized QTL/gene using genome wide association studies and marker assisted selection in wheat breeding programs.
Abstract: Genetic diversity is crucial for successful adaptation and sustained improvement in crops. India is bestowed with diverse agro-climatic conditions which makes it rich in wheat germplasm adapted to various niches. Germplasm repository consists of local landraces, trait specific genetic stocks including introgressions from wild relatives, exotic collections, released varieties, and improved germplasm. Characterization of genetic diversity is done using morpho-physiological characters as well as by analyzing variations at DNA level. However, there are not many reports on array based high throughput SNP markers having characteristics of genome wide coverage employed in Indian spring wheat germplasm. Amongst wheat SNP arrays, 35K Axiom Wheat Breeder’s Array has the highest SNP polymorphism efficiency suitable for genetic mapping and genetic diversity characterization. Therefore, genotyping was done using 35K in 483 wheat genotypes resulting in 14,650 quality filtered SNPs, that were distributed across the B (~ 50%), A (~ 39%), and D (~ 10%) genomes. The total genetic distance coverage was 4477.85 cM with 3.27 SNP/cM and 0.49 cM/SNP as average marker density and average inter-marker distance, respectively. The PIC ranged from 0.09 to 0.38 with an average of 0.29 across genomes. Population structure and Principal Coordinate Analysis resulted in two subpopulations (SP1 and SP2). The analysis of molecular variance revealed the genetic variation of 2% among and 98% within subpopulations indicating high gene flow between SP1 and SP2. The subpopulation SP2 showed high level of genetic diversity based on genetic diversity indices viz. Shannon’s information index (I) = 0.648, expected heterozygosity (He) = 0.456 and unbiased expected heterozygosity (uHe) = 0.456. To the best of our knowledge, this study is the first to include the largest set of Indian wheat genotypes studied exclusively for genetic diversity. These findings may serve as a potential source for the identification of uncharacterized QTL/gene using genome wide association studies and marker assisted selection in wheat breeding programs.
29 citations
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TL;DR: This study reports 174 known and conserved differentially expressed miRs of 27 miR families of maize plant and provides an insight into the composite regulatory mechanism of miRs in maize in response to Pi deficiency.
Abstract: Globally important cereal crop maize provides important nutritions and starch in dietary foods. Low phosphate (LPi) availability in the soil frequently limits the maize quality and yield across the world. Small non-coding RNAs (Snc-RNAs) play crucial roles in growth and adaptation of plants to the environment. Snc-RNAs like microRNAs (miRs) and trans-acting small interfering RNAs (Tasi-Rs) play important functions in posttranscriptional regulation of gene expression, which controls plant development, reproduction, and biotic/abiotic stress responses. In order to identify the miR and Tasi-R alterations in leaf and root of maize in response to sufficient phosphate and LPi at 3LS and 4LS, the snc-RNA population libraries for 0th, 1st, 2nd, 4th, and 8th day were constructed. These libraries were used for genome-wide alignment and RNA-fold analysis for possible prediction of potential miRs and Tasi-Rs. This study reported 174 known and conserved differentially expressed miRs of 27 miR families of maize plant. In addition, leaf and root specific potential novel miRs representing 155 new families were also discovered. Differentially expressed conserved as well as novel miR functions in root and leaf during early stage of Pi starvation were extensively discussed. Leaf and root specific miRs as well as common miRs with their target genes, participating in different biological, cellular, and metabolic processes were explored. Further, four miR390-directed Tasi-Rs which belong to TAS3 gene family along with other orthologs of Tasi-Rs were also identified. Finally, the study provides an insight into the composite regulatory mechanism of miRs in maize in response to Pi deficiency.
28 citations
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TL;DR: Overall, the pollution and ecological indices registered lower contamination, yet it would be prudent to adopt efficient MSW management strategies for eliminating any future risk emanating out of this dumping site and posing threat to nearby Deepor Beel and its associated flora and fauna.
28 citations
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TL;DR: Coagulation integrated with adsorption was more effective when organically modified montmorillonite was used as adsorbent compared to normal bentonite and efficiency was more for ODAAPS-M as compared to ODA-M.
Abstract: Contamination of drinking water sources with agrochemical residues became a major concern in the twenty-first century. Coagulation–flocculation is the most widely used water-treatment process, but the efficiency to remove pesticides and other organic pollutants are limited compared to adsorption process. Thus, simultaneous action of adsorption on normal bentonite or organo-modified montmorillonite clays [modified with octadecylamine (ODA-M) and octadecylamine + aminopropyltriethoxysilane (ODAAPS-M)] followed by coagulation–flocculation by alum and poly aluminium chloride has been evaluated for removal of 10 different pesticides, namely atrazine, lindane, metribuzin, aldrin, chlorpyriphos, pendimethalin, α-endosulphan, β-endosulphan, p, p′-DDT, cypermethrin and two of its metabolites, endosulphan sulphate and p, p′-DDE, from water. The coagulation without integration of adsorption was less effective (removal % varies from 12 to 49) than the adsorption–coagulation integrated system (removal % varies from 71...
28 citations
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TL;DR: Jasmonate mediated signalling pathway, which is known to play crucial role during defense response against necrotrophs, could be strengthened in Brassica plants to combat the disease.
Abstract: The productivity of Oilseed Brassica, one of the economically important crops of India, is seriously affected by the disease, Alternaria blight. The disease is mainly caused by two major necrotrophic fungi, Alternaria brassicae and Alternaria brassicicola which are responsible for significant yield losses. Till date, no resistant source is available against Alternaria blight, hence plant breeding methods can not be used to develop disease resistant varieties. Jasmonate mediated signalling pathway, which is known to play crucial role during defense response against necrotrophs, could be strengthened in Brassica plants to combat the disease. Since scanty information is available in Brassica-Alternaria pathosystems at molecular level therefore, in the present study efforts have been made to model jasmonic acid pathway in Arabidopsis thaliana to simulate the dynamic behaviour of molecular species in the model. Besides, the developed model was also analyzed topologically for investigation of the hubs node. COI1 is identified as one of the promising candidate genes in response to Alternaria and other linked components of plant defense mechanisms against the pathogens. The findings from present study are therefore informative for understanding the molecular basis of pathophysiology and rational management of Alternaria blight for securing food and nutritional security.
28 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 |