Institution
Indian Council of Agricultural Research
Government•New Delhi, India•
About: Indian Council of Agricultural Research is a government organization based out in New Delhi, India. It is known for research contribution in the topics: Population & Agriculture. The organization has 11533 authors who have published 13637 publications receiving 149975 citations. The organization is also known as: Imperial Council of Agricultural Research & ICAR.
Topics: Population, Agriculture, Genetic diversity, Soil carbon, Soil water
Papers published on a yearly basis
Papers
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TL;DR: A map-based, finished quality sequence that covers 95% of the 389 Mb rice genome, including virtually all of the euchromatin and two complete centromeres, and finds evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes.
Abstract: Rice, one of the world's most important food plants, has important syntenic relationships with the other cereal species and is a model plant for the grasses. Here we present a map-based, finished quality sequence that covers 95% of the 389 Mb genome, including virtually all of the euchromatin and two complete centromeres. A total of 37,544 non-transposable-element-related protein-coding genes were identified, of which 71% had a putative homologue in Arabidopsis. In a reciprocal analysis, 90% of the Arabidopsis proteins had a putative homologue in the predicted rice proteome. Twenty-nine per cent of the 37,544 predicted genes appear in clustered gene families. The number and classes of transposable elements found in the rice genome are consistent with the expansion of syntenic regions in the maize and sorghum genomes. We find evidence for widespread and recurrent gene transfer from the organelles to the nuclear chromosomes. The map-based sequence has proven useful for the identification of genes underlying agronomic traits. The additional single-nucleotide polymorphisms and simple sequence repeats identified in our study should accelerate improvements in rice production.
3,423 citations
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TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
Abstract: An annotated reference sequence representing the hexaploid bread wheat genome in 21 pseudomolecules has been analyzed to identify the distribution and genomic context of coding and noncoding elements across the A, B, and D subgenomes. With an estimated coverage of 94% of the genome and containing 107,891 high-confidence gene models, this assembly enabled the discovery of tissue- and developmental stage-related coexpression networks by providing a transcriptome atlas representing major stages of wheat development. Dynamics of complex gene families involved in environmental adaptation and end-use quality were revealed at subgenome resolution and contextualized to known agronomic single-gene or quantitative trait loci. This community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
2,118 citations
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Beijing Institute of Genomics1, Cayetano Heredia University2, Indian Council of Agricultural Research3, Russian Academy of Sciences4, University of Dundee5, Huazhong Agricultural University6, Hunan Agricultural University7, Imperial College London8, Polish Academy of Sciences9, International Potato Center10, J. Craig Venter Institute11, National University of La Plata12, Michigan State University13, James Hutton Institute14, Teagasc15, Plant & Food Research16, Aalborg University17, University of Wisconsin-Madison18, Virginia Tech19, Wageningen University and Research Centre20
TL;DR: The potato genome sequence provides a platform for genetic improvement of this vital crop and predicts 39,031 protein-coding genes and presents evidence for at least two genome duplication events indicative of a palaeopolyploid origin.
Abstract: Potato (Solanum tuberosum L.) is the world's most important non-grain food crop and is central to global food security. It is clonally propagated, highly heterozygous, autotetraploid, and suffers acute inbreeding depression. Here we use a homozygous doubled-monoploid potato clone to sequence and assemble 86% of the 844-megabase genome. We predict 39,031 protein-coding genes and present evidence for at least two genome duplication events indicative of a palaeopolyploid origin. As the first genome sequence of an asterid, the potato genome reveals 2,642 genes specific to this large angiosperm clade. We also sequenced a heterozygous diploid clone and show that gene presence/absence variants and other potentially deleterious mutations occur frequently and are a likely cause of inbreeding depression. Gene family expansion, tissue-specific expression and recruitment of genes to new pathways contributed to the evolution of tuber development. The potato genome sequence provides a platform for genetic improvement of this vital crop.
1,813 citations
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Eindhoven University of Technology1, Queensland University of Technology2, Capgemini3, University of Rome Tor Vergata4, Humboldt University of Berlin5, Software AG6, University of Padua7, Polytechnic University of Catalonia8, Hewlett-Packard9, Ghent University10, New Mexico State University11, IBM12, University of Milan13, University of Tartu14, University of Vienna15, Technical University of Lisbon16, Telecom SudParis17, Rabobank18, Infosys19, University of Calabria20, Fujitsu21, Pennsylvania State University22, University of Bari23, University of Bologna24, Vienna University of Economics and Business25, Free University of Bozen-Bolzano26, Stevens Institute of Technology27, Indian Council of Agricultural Research28, Pontifical Catholic University of Chile29, University of Haifa30, Ulsan National Institute of Science and Technology31, Cranfield University32, Katholieke Universiteit Leuven33, Deloitte34, Tsinghua University35, University of Innsbruck36, Hasso Plattner Institute37
TL;DR: This manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users to increase the maturity of process mining as a new tool to improve the design, control, and support of operational business processes.
Abstract: Process mining techniques are able to extract knowledge from event logs commonly available in today’s information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.
1,135 citations
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International Crops Research Institute for the Semi-Arid Tropics1, CGIAR2, Beijing Genomics Institute3, National Research Council4, Iowa State University5, University of California, Davis6, University of Saskatchewan7, University of Córdoba (Spain)8, University of Georgia9, University of Arizona10, National Center for Genome Resources11, Commonwealth Scientific and Industrial Research Organisation12, Indian Council of Agricultural Research13, Curtin University14, University of Queensland15, Goethe University Frankfurt16, University of Western Australia17, University of Copenhagen18
TL;DR: This work reports the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes, and identifies targets of both breeding-associated genetic sweeps and breeding- associated balancing selection.
Abstract: Chickpea (Cicer arietinum) is the second most widely grown legume crop after soybean, accounting for a substantial proportion of human dietary nitrogen intake and playing a crucial role in food security in developing countries. We report the ~738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes. Resequencing and analysis of 90 cultivated and wild genotypes from ten countries identifies targets of both breeding-associated genetic sweeps and breeding-associated balancing selection. Candidate genes for disease resistance and agronomic traits are highlighted, including traits that distinguish the two main market classes of cultivated chickpea—desi and kabuli. These data comprise a resource for chickpea improvement through molecular breeding and provide insights into both genome diversity and domestication.
1,014 citations
Authors
Showing all 11569 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rajesh Kumar | 149 | 4439 | 140830 |
Louis Antonelli | 132 | 1089 | 83916 |
Sanjay Gupta | 99 | 902 | 35039 |
Gaurav Sharma | 82 | 1244 | 31482 |
Sudhir Kumar | 82 | 524 | 216349 |
Subrata Ghosh | 78 | 841 | 32147 |
Vinod Kumar | 77 | 815 | 26882 |
Ashwani Kumar | 66 | 703 | 18099 |
Gerald T. Keusch | 62 | 327 | 14572 |
C. Erik Hack | 61 | 221 | 12542 |
Vinay Hegde | 61 | 460 | 16719 |
Manish Kumar | 61 | 1425 | 21762 |
Smita K. Nair | 59 | 184 | 12134 |
Pappannan Thiyagarajan | 59 | 245 | 10650 |
Martijn W. Heymans | 58 | 360 | 12195 |