Institution
Michigan State University
Education•East Lansing, Michigan, United States•
About: Michigan State University is a education organization based out in East Lansing, Michigan, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 60109 authors who have published 137074 publications receiving 5633022 citations. The organization is also known as: MSU & Michigan State.
Papers published on a yearly basis
Papers
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TL;DR: A neutral templating route for preparing mesoporous molecular sieves is demonstrated based on hydrogen-bonding interactions and self-assembly between neutral primary amine micelles (S�) and neutral inorganic precursors (l�).
Abstract: A neutral templating route for preparing mesoporous molecular sieves is demonstrated based on hydrogen-bonding interactions and self-assembly between neutral primary amine micelles (S degrees ) and neutral inorganic precursors (l degrees ). The S degrees l degrees templating pathway produces ordered mesoporous materials with thicker framework walls, smaller x-ray scattering domain sizes, and substantially improved textural mesoporosities in comparison with M41S materials templated by quaternary ammonium cations of equivalent chain length. This synthetic strategy also allows for the facile, environmentally benign recovery of the cost-intensive template by simple solvent extraction methods. The S degrees 1 degrees templating route provides for the synthesis of other oxide mesostructures (such as aluminas) that may be less readily accessible by electrostatic templating pathways.
1,733 citations
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TL;DR: In this paper, the authors introduce a special issue on the topic of income diversification and livelihoods in rural Africa: Cause and Consequence of change, where the authors concentrate on core conceptual issues that bedevil the literature on rural income diversity and the policy implications of the empirical evidence presented in this special issue.
1,726 citations
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TL;DR: This study identifies ∼3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method, demonstrating that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.
Abstract: Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ∼ 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ∼ 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.
1,718 citations
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University of St Andrews1, University of Oldenburg2, Natural History Museum3, Naturalis4, Centre national de la recherche scientifique5, Michigan State University6, University of Lausanne7, University of Wyoming8, Queen Mary University of London9, University of Sheffield10, International Institute for Applied Systems Analysis11, University of Oslo12, University of Vienna13, University of Vermont14, University of East Anglia15, Spanish National Research Council16, University of Cambridge17, University of Konstanz18, University of Zurich19, Royal Botanic Garden Edinburgh20, Harvard University21, Autonomous University of Madrid22, Swiss Federal Institute of Aquatic Science and Technology23, Boston University24, Max Planck Society25, University of Neuchâtel26, University of North Carolina at Chapel Hill27, Lehigh University28, American Museum of Natural History29, University of Montpellier30, University of Liverpool31, Jagiellonian University32, Uppsala University33, German Primate Center34
TL;DR: A perspective on the context and evolutionary significance of hybridization during speciation is offered, highlighting issues of current interest and debate and suggesting that the Dobzhansky–Muller model of hybrid incompatibilities requires a broader interpretation.
Abstract: Hybridization has many and varied impacts on the process of speciation. Hybridization may slow or reverse differentiation by allowing gene flow and recombination. It may accelerate speciation via adaptive introgression or cause near-instantaneous speciation by allopolyploidization. It may have multiple effects at different stages and in different spatial contexts within a single speciation event. We offer a perspective on the context and evolutionary significance of hybridization during speciation, highlighting issues of current interest and debate. In secondary contact zones, it is uncertain if barriers to gene flow will be strengthened or broken down due to recombination and gene flow. Theory and empirical evidence suggest the latter is more likely, except within and around strongly selected genomic regions. Hybridization may contribute to speciation through the formation of new hybrid taxa, whereas introgression of a few loci may promote adaptive divergence and so facilitate speciation. Gene regulatory networks, epigenetic effects and the evolution of selfish genetic material in the genome suggest that the Dobzhansky-Muller model of hybrid incompatibilities requires a broader interpretation. Finally, although the incidence of reinforcement remains uncertain, this and other interactions in areas of sympatry may have knock-on effects on speciation both within and outside regions of hybridization.
1,715 citations
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TL;DR: This paper describes the automatic selection of features from an image training set using the theories of multidimensional discriminant analysis and the associated optimal linear projection, and demonstrates the effectiveness of these most discriminating features for view-based class retrieval from a large database of widely varying real-world objects.
Abstract: This paper describes the automatic selection of features from an image training set using the theories of multidimensional discriminant analysis and the associated optimal linear projection. We demonstrate the effectiveness of these most discriminating features for view-based class retrieval from a large database of widely varying real-world objects presented as "well-framed" views, and compare it with that of the principal component analysis.
1,713 citations
Authors
Showing all 60636 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
Anil K. Jain | 183 | 1016 | 192151 |
D. M. Strom | 176 | 3167 | 194314 |
Feng Zhang | 172 | 1278 | 181865 |
Derek R. Lovley | 168 | 582 | 95315 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Donald E. Ingber | 164 | 610 | 100682 |
J. E. Brau | 162 | 1949 | 157675 |
Murray F. Brennan | 161 | 925 | 97087 |
Peter B. Reich | 159 | 790 | 110377 |
Wei Li | 158 | 1855 | 124748 |
Timothy C. Beers | 156 | 934 | 102581 |
Claude Bouchard | 153 | 1076 | 115307 |
Mercouri G. Kanatzidis | 152 | 1854 | 113022 |
James J. Collins | 151 | 669 | 89476 |