Institution
Indian Agricultural Research Institute
Facility•New Delhi, India•
About: Indian Agricultural Research Institute is a facility organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Gene. The organization has 7042 authors who have published 9102 publications receiving 188460 citations. The organization is also known as: IARI & Pusa Institute.
Topics: Population, Gene, Soil water, Cropping system, Agriculture
Papers published on a yearly basis
Papers
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TL;DR: A high-quality genome sequence of domesticated tomato is presented, a draft sequence of its closest wild relative, Solanum pimpinellifolium, is compared, and the two tomato genomes are compared to each other and to the potato genome.
Abstract: Tomato (Solanum lycopersicum) is a major crop plant and a model system for fruit development. Solanum is one of the largest angiosperm genera1 and includes annual and perennial plants from diverse habitats. Here we present a high-quality genome sequence of domesticated tomato, a draft sequence of its closest wild relative, Solanum pimpinellifolium2, and compare them to each other and to the potato genome (Solanum tuberosum). The two tomato genomes show only 0.6% nucleotide divergence and signs of recent admixture, but show more than 8% divergence from potato, with nine large and several smaller inversions. In contrast to Arabidopsis, but similar to soybean, tomato and potato small RNAs map predominantly to gene-rich chromosomal regions, including gene promoters. The Solanum lineage has experienced two consecutive genome triplications: one that is ancient and shared with rosids, and a more recent one. These triplications set the stage for the neofunctionalization of genes controlling fruit characteristics, such as colour and fleshiness.
2,687 citations
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TL;DR: This work focuses on recent progress in transcriptional, post-transcriptional and post- translational regulation of gene expression that is critical for cold acclimation in temperate plants.
1,569 citations
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University of Florida1, University of Bonn2, Institut national de la recherche agronomique3, Blaise Pascal University4, Stanford University5, Prince of Songkla University6, Agricultural Research Service7, University of Arizona8, International Maize and Wheat Improvement Center9, Kansas State University10, International Water Management Institute11, Washington State University12, Michigan State University13, CGIAR14, University of Leeds15, Counterintelligence Field Activity16, Spanish National Research Council17, University of Tübingen18, University of Guelph19, Texas A&M University20, University of Maryland, College Park21, Aarhus University22, Potsdam Institute for Climate Impact Research23, Indian Agricultural Research Institute24, Goddard Institute for Space Studies25, Rothamsted Research26, University of Hohenheim27, Wageningen University and Research Centre28, Chinese Academy of Sciences29, Commonwealth Scientific and Industrial Research Organisation30, China Agricultural University31, Nanjing Agricultural University32
TL;DR: The authors systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 degrees C to 32 degrees C, including experiments with artificial heating.
Abstract: Crop models are essential tools for assessing the threat of climate change to local and global food production(1). Present models used to predict wheat grain yield are highly uncertain when simulating how crops respond to temperature(2). Here we systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 degrees C to 32 degrees C, including experiments with artificial heating. Many models simulated yields well, but were less accurate at higher temperatures. The model ensemble median was consistently more accurate in simulating the crop temperature response than any single model, regardless of the input information used. Extrapolating the model ensemble temperature response indicates that warming is already slowing yield gains at a majority of wheat-growing locations. Global wheat production is estimated to fall by 6% for each degrees C of further temperature increase and become more variable over space and time.
1,461 citations
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Academy of Sciences of the Czech Republic1, University of Saskatchewan2, Bayer3, Kansas State University4, University of California, Riverside5, Blaise Pascal University6, Kyoto University7, University of Dundee8, Punjab Agricultural University9, Indian Agricultural Research Institute10, University of Delhi11, University of Tsukuba12, Yokohama City University13, National Research Council14, Norwegian University of Life Sciences15, Sainsbury Laboratory16, Leibniz Association17, United States Department of Energy18, James Hutton Institute19, Institut national de la recherche agronomique20, University of Zurich21, Sabancı University22, Murdoch University23
TL;DR: Insight into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
Abstract: An ordered draft sequence of the 17-gigabase hexaploid bread wheat (Triticum aestivum) genome has been produced by sequencing isolated chromosome arms. We have annotated 124,201 gene loci distributed nearly evenly across the homeologous chromosomes and subgenomes. Comparative gene analysis of wheat subgenomes and extant diploid and tetraploid wheat relatives showed that high sequence similarity and structural conservation are retained, with limited gene loss, after polyploidization. However, across the genomes there was evidence of dynamic gene gain, loss, and duplication since the divergence of the wheat lineages. A high degree of transcriptional autonomy and no global dominance was found for the subgenomes. These insights into the genome biology of a polyploid crop provide a springboard for faster gene isolation, rapid genetic marker development, and precise breeding to meet the needs of increasing food demand worldwide.
1,421 citations
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TL;DR: The potential of fruits and vegetables rich in antioxidants, their health benefits and the eAect of processing on the bioavailability of these nutrients have been highlighted in this article, where some of the important methods used to determine the antioxidant activity.
Abstract: Summary Some of the most exciting research in the last decade has been the discovery of a group of nutrients, which have protective eAects against cell oxidation. These naturally occurring compounds impart bright colour to fruits and vegetables and act as antioxidants in the body by scavenging harmful free radicals, which are implicated in most degenerative diseases. Epidemiological studies have established a positive correlation between the intake of fruits and vegetables and prevention of diseases like atheroscelerosis, cancer, diabetes, arthritis and also ageing. So pronounced has been their eAect on ageing that they have been called ‘fountains of youth’. Fruits and vegetables have thus had conferred on them the status of ‘functional foods’, capable of promoting good health and preventing or alleviating diseases. Phenolic flavonoids, lycopene, carotenoids and glucosinolates are among the most thoroughly studied antioxidants. The present review highlights the potential of fruits and vegetables rich in antioxidants, their health benefits and the eAect of processing on the bioavailability of these nutrients. The paper also reviews some of the important methods used to determine the antioxidant activity.
1,363 citations
Authors
Showing all 7120 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rakesh K. Jain | 200 | 1467 | 177727 |
Rajesh Kumar | 149 | 4439 | 140830 |
Vijay P. Singh | 106 | 1699 | 55831 |
Rajeev K. Varshney | 102 | 709 | 39796 |
Sandeep Kumar | 94 | 1563 | 38652 |
Rajendra Prasad | 86 | 945 | 29526 |
Sudhir Kumar | 82 | 524 | 216349 |
Christoph Müller | 82 | 457 | 27274 |
Rishi Raj | 78 | 569 | 22423 |
Sanjay Singh | 71 | 1133 | 22099 |
Narpinder Singh | 68 | 290 | 15279 |
Muthu Periasamy | 65 | 193 | 14153 |
Vinay Hegde | 61 | 460 | 16719 |
Manish Kumar | 61 | 1425 | 21762 |
K.T. Ramesh | 60 | 327 | 14008 |