Institution
Wageningen University and Research Centre
Education•Wageningen, Netherlands•
About: Wageningen University and Research Centre is a education organization based out in Wageningen, Netherlands. It is known for research contribution in the topics: Population & Sustainability. The organization has 23474 authors who have published 54833 publications receiving 2608897 citations.
Topics: Population, Sustainability, Agriculture, Climate change, Gene
Papers published on a yearly basis
Papers
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TL;DR: In this article, the role of the plant hormones abscisic acid and gibberellin in the regulation of seed dormancy and germination has been investigated in Arabidopsis thaliana.
1,057 citations
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TL;DR: The transfer of hydrogen and formate between bacteria and archaea that helps to sustain growth in syntrophic methanogenic communities is reviewed and the process of reverse electron transfer is described, which is a key requirement in obligately syntrophic interactions.
Abstract: Interspecies electron transfer is a key process in methanogenic and sulphate-reducing environments. Bacteria and archaea that live in syntrophic communities take advantage of the metabolic abilities of their syntrophic partner to overcome energy barriers and break down compounds that they cannot digest by themselves. Here, we review the transfer of hydrogen and formate between bacteria and archaea that helps to sustain growth in syntrophic methanogenic communities. We also describe the process of reverse electron transfer, which is a key requirement in obligately syntrophic interactions. Anaerobic methane oxidation coupled to sulphate reduction is also carried out by syntrophic communities of bacteria and archaea but, as we discuss, the exact mechanism of this syntrophic interaction is not yet understood.
1,052 citations
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TL;DR: A review of reflectance nomenclature used in remote sensing can be found in this paper, where the authors highlight the importance of a proper usage of definitions through quantitative comparison of different reflectance products with special emphasis on wavelength dependent effects.
1,051 citations
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University of Florida1, University of Bonn2, Goddard Institute for Space Studies3, Commonwealth Scientific and Industrial Research Organisation4, Institut national de la recherche agronomique5, Agro ParisTech6, Michigan State University7, Blaise Pascal University8, International Water Management Institute9, University of Leeds10, CGIAR11, Counterintelligence Field Activity12, University of Tübingen13, University of Alberta14, International Atomic Energy Agency15, University of Reading16, University of Guelph17, University of Hohenheim18, Joint Global Change Research Institute19, Potsdam Institute for Climate Impact Research20, Indian Agricultural Research Institute21, Aarhus University22, Rothamsted Research23, Washington State University24, Wageningen University and Research Centre25, Chinese Academy of Sciences26, International Trademark Association27, Texas A&M University28
TL;DR: In this article, the authors present the largest standardized model intercomparison for climate change impacts so far, finding that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient.
Abstract: Projections of climate change impacts on crop yields are inherently uncertain(1). Uncertainty is often quantified when projecting future greenhouse gas emissions and their influence on climate(2). However, multi-model uncertainty analysis of crop responses to climate change is rare because systematic and objective comparisons among process-based crop simulation models(1,3) are difficult(4). Here we present the largest standardized model intercomparison for climate change impacts so far. We found that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient. However, simulated climate change impacts vary across models owing to differences in model structures and parameter values. A greater proportion of the uncertainty in climate change impact projections was due to variations among crop models than to variations among downscaled general circulation models. Uncertainties in simulated impacts increased with CO2 concentrations and associated warming. These impact uncertainties can be reduced by improving temperature and CO2 relationships in models and better quantified through use of multi-model ensembles. Less uncertainty in describing how climate change may affect agricultural productivity will aid adaptation strategy development and policymaking.
1,049 citations
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TL;DR: The thoroughly updated antiSMASH version 4 is presented, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm, improved substrate specificity prediction for non-ribosomal peptide synthetase adenylation domains based on the new SANDPUMA algorithm, and several usability features have been updated and improved.
Abstract: Many antibiotics, chemotherapeutics, crop protection agents and food preservatives originate from molecules produced by bacteria, fungi or plants. In recent years, genome mining methodologies have been widely adopted to identify and characterize the biosynthetic gene clusters encoding the production of such compounds. Since 2011, the â € antibiotics and secondary metabolite analysis shell - antiSMASH' has assisted researchers in efficiently performing this, both as a web server and a standalone tool. Here, we present the thoroughly updated antiSMASH version 4, which adds several novel features, including prediction of gene cluster boundaries using the ClusterFinder method or the newly integrated CASSIS algorithm, improved substrate specificity prediction for non-ribosomal peptide synthetase adenylation domains based on the new SANDPUMA algorithm, improved predictions for terpene and ribosomally synthesized and post-translationally modified peptides cluster products, reporting of sequence similarity to proteins encoded in experimentally characterized gene clusters on a per-protein basis and a domain-level alignment tool for comparative analysis of trans-AT polyketide synthase assembly line architectures. Additionally, several usability features have been updated and improved. Together, these improvements make antiSMASH up-to-date with the latest developments in natural product research and will further facilitate computational genome mining for the discovery of novel bioactive molecules.
1,043 citations
Authors
Showing all 23851 results
Name | H-index | Papers | Citations |
---|---|---|---|
Walter C. Willett | 334 | 2399 | 413322 |
Albert Hofman | 267 | 2530 | 321405 |
Frank B. Hu | 250 | 1675 | 253464 |
Willem M. de Vos | 148 | 670 | 88146 |
Willy Verstraete | 139 | 920 | 76659 |
Jonathan D. G. Jones | 129 | 417 | 80908 |
Bert Brunekreef | 124 | 806 | 81938 |
Pedro W. Crous | 115 | 809 | 51925 |
Marten Scheffer | 111 | 350 | 73789 |
Wim E. Hennink | 110 | 600 | 49940 |
Daan Kromhout | 108 | 453 | 55551 |
Peter H. Verburg | 107 | 464 | 34254 |
Marcel Dicke | 107 | 613 | 42959 |
Vincent W. V. Jaddoe | 106 | 1008 | 44269 |
Hao Wu | 105 | 669 | 42607 |