Showing papers by "University of Nebraska–Lincoln published in 2014"
TL;DR: The trap states on the surface and grain boundaries of the perovskite materials are demonstrated to be the origin of photocurrent hysteresis and that the fullerene layers deposited onperovskites can effectively passivate these charge trap states and eliminate the notorious photocurrent Hysteresi.
Abstract: The large photocurrent hysteresis observed in many organometal trihalide perovskite solar cells has become a major hindrance impairing the ultimate performance and stability of these devices, while its origin was unknown. Here we demonstrate the trap states on the surface and grain boundaries of the perovskite materials to be the origin of photocurrent hysteresis and that the fullerene layers deposited on perovskites can effectively passivate these charge trap states and eliminate the notorious photocurrent hysteresis. Fullerenes deposited on the top of the perovskites reduce the trap density by two orders of magnitude and double the power conversion efficiency of CH(3)NH(3)PbI(3) solar cells. The elucidation of the origin of photocurrent hysteresis and its elimination by trap passivation in perovskite solar cells provides important directions for future enhancements to device efficiency.
2,440 citations
South Dakota State University1, Natural Resources Canada2, United States Geological Survey3, Boston University4, University of Idaho5, United States Department of Agriculture6, Goddard Space Flight Center7, University of Colorado Boulder8, University of Massachusetts Boston9, Rochester Institute of Technology10, University of California, Los Angeles11, United States Forest Service12, Agricultural Research Service13, Humboldt University of Berlin14, Desert Research Institute15, University of Maryland, College Park16, University of Nebraska–Lincoln17, Geoscience Australia18, Virginia Tech19
TL;DR: Landsat 8, a NASA and USGS collaboration, acquires global moderate-resolution measurements of the Earth's terrestrial and polar regions in the visible, near-infrared, short wave, and thermal infrared as mentioned in this paper.
1,697 citations
TL;DR: Solvent-annealing is found to be an effective method to increase the grain size and carrier diffusion lengths of trihalide perovskite materials.
Abstract: Solvent-annealing is found to be an effective method to increase the grain size and carrier diffusion lengths of trihalide perovskite materials. The carrier diffusion length of MAPbI3 is increased to over 1 μm. The efficiency remains above 14.5% when the MAPbI3 thickness changes from 250 nm to 1 μm, with the highest efficiency reaching 15.6%.
1,521 citations
TL;DR: In this article, an interdiffusion method was proposed to fabricate pinhole free perovskite films using a low temperature solution process, achieving an efficiency of 15.4% with a fill factor of ∼80%.
Abstract: We report on an interdiffusion method to fabricate pin-hole free perovskite films using a low temperature (<105 °C) solution process. A high efficiency of 15.4%, with a fill factor of ∼80%, was achieved for the devices under one sun illumination. The interdiffusion method results in high device yield, with an efficiency of above 14.5% for more than 85% of the devices.
1,141 citations
TL;DR: The growth of a highly aligned meta-stable structure of 2,7-dioctyl[1]benzothieno[3,2-b][1] Benzothiophene (C8-BTBT) is described from a blended solution of C8- BTBT and polystyrene by using a novel off-centre spin-coating method, indicating their potential for transparent, high-performance organic electronics.
Abstract: One of the advantages of organic over inorganic semiconductors is they can be grown from solution, but their electrical mobility is often poor. Yuan et al. report a technique for fabricating organic transistors with mobilities far beyond that of amorphous silicon and close to that of polycrystalline silicon.
1,130 citations
TL;DR: Key priorities are to improve technologies and policies that promote more ecologically efficient food production while optimizing the allocation of lands to conservation and agriculture.
Abstract: The human population is projected to reach 11 billion this century, with the greatest increases in tropical developing nations. This growth, in concert with rising per-capita consumption, will require large increases in food and biofuel production. How will these megatrends affect tropical terrestrial and aquatic ecosystems and biodiversity? We foresee (i) major expansion and intensification of tropical agriculture, especially in Sub-Saharan Africa and South America; (ii) continuing rapid loss and alteration of tropical old-growth forests, woodlands, and semi-arid environments; (iii) a pivotal role for new roadways in determining the spatial extent of agriculture; and (iv) intensified conflicts between food production and nature conservation. Key priorities are to improve technologies and policies that promote more ecologically efficient food production while optimizing the allocation of lands to conservation and agriculture.
1,066 citations
United States Department of Energy1, North Dakota State University2, United States Department of Agriculture3, University of Georgia4, Institut national de la recherche agronomique5, Tennessee State University6, Colorado State University7, University of California, Davis8, Michigan State University9, University of Arizona10, University of Paris-Sud11, University of Nebraska–Lincoln12
TL;DR: 2 independent domestications from genetic pools that diverged before human colonization are confirmed and a set of genes linked with increased leaf and seed size are identified and combined with quantitative trait locus data from Mesoamerican cultivars.
Abstract: Common bean (Phaseolus vulgaris L.) is the most important grain legume for human consumption and has a role in sustainable agriculture owing to its ability to fix atmospheric nitrogen. We assembled 473 Mb of the 587-Mb genome and genetically anchored 98% of this sequence in 11 chromosome-scale pseudomolecules. We compared the genome for the common bean against the soybean genome to find changes in soybean resulting from polyploidy. Using resequencing of 60 wild individuals and 100 landraces from the genetically differentiated Mesoamerican and Andean gene pools, we confirmed 2 independent domestications from genetic pools that diverged before human colonization. Less than 10% of the 74 Mb of sequence putatively involved in domestication was shared by the two domestication events. We identified a set of genes linked with increased leaf and seed size and combined these results with quantitative trait locus data from Mesoamerican cultivars. Genes affected by domestication may be useful for genomics-enabled crop improvement.
1,012 citations
Beijing Genomics Institute1, University of Copenhagen2, Royal Veterinary College3, Seoul National University4, University of Nebraska–Lincoln5, University of Porto6, University of South Carolina7, Montclair State University8, Uppsala University9, National University of Singapore10, University of California, Berkeley11, South China University of Technology12, Chinese Academy of Sciences13, Kunming Institute of Zoology14, Howard Hughes Medical Institute15, Aberystwyth University16, University of Kent17, University of California, Riverside18, Mississippi State University19, Austral University of Chile20, Swedish University of Agricultural Sciences21, China Agricultural University22, Cardiff University23, Copenhagen Zoo24, Louisiana State University25, Washington University in St. Louis26, Xi'an Jiaotong University27, University of California, Santa Cruz28, Nova Southeastern University Oceanographic Center29, Smithsonian Conservation Biology Institute30, National Museum of Natural History31, Natural History Museum32, University of California, San Francisco33, Harvard University34, University of Florida35, University of Edinburgh36, New Mexico State University37, Macau University of Science and Technology38, Curtin University39
TL;DR: This work explored bird macroevolution using full genomes from 48 avian species representing all major extant clades to reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.
Abstract: Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.
872 citations
TL;DR: In this paper, the authors investigated the electronic properties of bilayer phosphorene with different stacking orders and found that the direct bandgap of the bilayers can vary from 0.78 to 1.04 eV.
Abstract: Phosphorene, a monolayer of black phosphorus, is promising for nanoelectronic applications not only because it is a natural p-type semiconductor but also because it possesses a layer-number-dependent direct bandgap (in the range of 0.3 to 1.5 eV). On basis of the density functional theory calculations, we investigate electronic properties of the bilayer phosphorene with different stacking orders. We find that the direct bandgap of the bilayers can vary from 0.78 to 1.04 eV with three different stacking orders. In addition, a vertical electric field can further reduce the bandgap to 0.56 eV (at the field strength 0.5 V/A). More importantly, we find that when a monolayer of MoS2 is superimposed with the p-type AA- or AB-stacked bilayer phosphorene, the combined trilayer can be an effective solar-cell material with type-II heterojunction alignment. The power conversion efficiency is predicted to be ∼18 or 16% with AA- or AB-stacked bilayer phosphorene, higher than reported efficiencies of the state-of-the-ar...
783 citations
TL;DR: In this article, the influence of methylammonium iodide/lead iodide precursor ratio on perovskite film morphology and device performance was studied and the unique double fullerene layers adopted could dramatically reduce dark current leakage by forming a Schottky junction with the anode, and effectively increase the efficiency by boosting the fill factor to above 80%.
Abstract: This work studied the influence of the methylammonium iodide/lead iodine precursor ratio on the perovskite film morphology and device performance. Using a non-stoichiometric precursor solution was demonstrated to be critical to form stoichiometric perovskite films. The compositions of the spun perovskite films were very sensitive to the surface of substrates, and can be very different from that in precursor solutions. Remarkably, we found that the unique double fullerene layers adopted could dramatically reduce dark current leakage by forming a Schottky junction with the anode, and effectively passivate traps in perovskite to increase the efficiency by boosting the fill factor to above 80% for perovskite solar cells.
741 citations
TL;DR: This work couple fine-grained climate projections to thermal performance data from 38 ectothermic invertebrate species and contrast projections with those of a simple model to show that projections based on mean temperature change alone differ substantially from those incorporating changes to the variation, and to the mean and variation in concert.
Abstract: Increases in the frequency, severity and duration of temperature extremes are anticipated in the near future. Although recent work suggests that changes in temperature variation will have disproportionately greater effects on species than changes to the mean, much of climate change research in ecology has focused on the impacts of mean temperature change. Here, we couple fine-grained climate projections (2050–2059) to thermal performance data from 38 ectothermic invertebrate species and contrast projections with those of a simple model. We show that projections based on mean temperature change alone differ substantially from those incorporating changes to the variation, and to the mean and variation in concert. Although most species show increases in performance at greater mean temperatures, the effect of mean and variance change together yields a range of responses, with temperate species at greatest risk of performance declines. Our work highlights the importance of using fine-grained temporal data to incorporate the full extent of temperature variation when assessing and projecting performance.
United States Geological Survey1, Smithsonian Tropical Research Institute2, University of Nebraska–Lincoln3, University of Melbourne4, University of Cambridge5, University College London6, National University of Tucumán7, Department of National Parks, Wildlife and Plant Conservation8, Smithsonian Institution9, National University of Colombia10, Wildlife Conservation Society11, University of La Réunion12, University of Washington13, Chinese Academy of Sciences14, Oregon State University15, University of California, Los Angeles16, Tunghai University17, National University of Jujuy18, Kasetsart University19, National Dong Hwa University20, Landcare Research21, University of Alcalá22
TL;DR: A global analysis of 403 tropical and temperate tree species shows that for most species mass growth rate increases continuously with tree size, which means large, old trees do not act simply as senescent carbon reservoirs but actively fix large amounts of carbon compared to smaller trees.
Abstract: Forests are major components of the global carbon cycle, providing substantial feedback to atmospheric greenhouse gas concentrations. Our ability to understand and predict changes in the forest carbon cycle--particularly net primary productivity and carbon storage--increasingly relies on models that represent biological processes across several scales of biological organization, from tree leaves to forest stands. Yet, despite advances in our understanding of productivity at the scales of leaves and stands, no consensus exists about the nature of productivity at the scale of the individual tree, in part because we lack a broad empirical assessment of whether rates of absolute tree mass growth (and thus carbon accumulation) decrease, remain constant, or increase as trees increase in size and age. Here we present a global analysis of 403 tropical and temperate tree species, showing that for most species mass growth rate increases continuously with tree size. Thus, large, old trees do not act simply as senescent carbon reservoirs but actively fix large amounts of carbon compared to smaller trees; at the extreme, a single big tree can add the same amount of carbon to the forest within a year as is contained in an entire mid-sized tree. The apparent paradoxes of individual tree growth increasing with tree size despite declining leaf-level and stand-level productivity can be explained, respectively, by increases in a tree's total leaf area that outpace declines in productivity per unit of leaf area and, among other factors, age-related reductions in population density. Our results resolve conflicting assumptions about the nature of tree growth, inform efforts to undertand and model forest carbon dynamics, and have additional implications for theories of resource allocation and plant senescence.
TL;DR: An overview of the current strategies for synthesizing self-healing gels based on the concept of constitutional dynamic chemistry, which involves molecular structures capable of establishing dynamic networks based upon physical interactions or chemical reactions is presented.
Abstract: As representative soft materials with widespread applications, gels with various functions have been developed. However, traditional gels are vulnerable to stress-induced formation of cracks. The propagation of these cracks may affect the integrity of network structures of gels, resulting in the loss of functionality and limiting the service life of the gels. To address this challenge, self-healing gels that can restore their functionalities and structures after damage have been developed as “smart” soft materials. In this paper, we present an overview of the current strategies for synthesizing self-healing gels based on the concept of constitutional dynamic chemistry, which involves molecular structures capable of establishing dynamic networks based upon physical interactions or chemical reactions. The characterization methods of self-healing gels and the key factors that affect self-healing properties are analyzed. We also illustrate the emerging applications of self-healing gels, with emphasis on their usage in industry (coatings, sealants) and biomedicine (tissue adhesives, agents for drug or cell delivery). We conclude with a perspective on challenges facing the field, along with prospects for future development.
TL;DR: The potential and limitations of conservation agriculture for low productivity, small-scale farming systems in Sub Saharan Africa and South Asia is discussed in this article. But, the authors highlight some research priorities for ecosystem services in conservational agriculture.
University of Minnesota1, University of Maryland, College Park2, Iowa State University3, University of Oldenburg4, Utah State University5, Spanish National Research Council6, Wake Forest University7, University of Washington8, United States Department of Agriculture9, Colorado State University10, Michigan State University11, University of Queensland12, Trinity College, Dublin13, University of Toronto14, Lanzhou University15, University of California, San Diego16, Imperial College London17, University of Wisconsin-Madison18, University of Colorado Boulder19, United States Geological Survey20, Queensland University of Technology21, University of North Carolina at Chapel Hill22, University of Oxford23, University of Nebraska–Lincoln24, University of California, Berkeley25, University of Illinois at Urbana–Champaign26, University of Guelph27, University of Kentucky28, University of Melbourne29, Oregon State University30, Commonwealth Scientific and Industrial Research Organisation31, Swiss Federal Institute for Forest, Snow and Landscape Research32, Lancaster University33, Duke University34, University of California, Davis35
TL;DR: Testing the hypothesis that herbaceous plant species losses caused by eutrophication may be offset by increased light availability due to herbivory demonstrates that nutrients and herbivores can serve as counteracting forces to control local plant diversity through light limitation, independent of site productivity, soil nitrogen, herbivore type and climate.
Abstract: Human alterations to nutrient cycles and herbivore communities are affecting global biodiversity dramatically. Ecological theory predicts these changes should be strongly counteractive: nutrient addition drives plant species loss through intensified competition for light, whereas herbivores prevent competitive exclusion by increasing ground-level light, particularly in productive systems. Here we use experimental data spanning a globally relevant range of conditions to test the hypothesis that herbaceous plant species losses caused by eutrophication may be offset by increased light availability due to herbivory. This experiment, replicated in 40 grasslands on 6 continents, demonstrates that nutrients and herbivores can serve as counteracting forces to control local plant diversity through light limitation, independent of site productivity, soil nitrogen, herbivore type and climate. Nutrient addition consistently reduced local diversity through light limitation, and herbivory rescued diversity at sites where it alleviated light limitation. Thus, species loss from anthropogenic eutrophication can be ameliorated in grasslands where herbivory increases ground-level light.
TL;DR: In this paper, the potential for climate change mitigation through soil carbon sequestration that is possible from a change to no-till agriculture has been widely overstated, arguing that the potential of climate adaptation through carbon sequestering is limited.
Abstract: No-till agriculture is generally considered good for soils, and probably also beneficial in relation to climate change adaptation. However, this Perspective argues that the potential for climate change mitigation through soil carbon sequestration that is possible from a change to no-till agriculture has been widely overstated.
TL;DR: The challenges facing the large scale deployment of OpenFlow-based networks are described, the future research directions of this technology are discussed and it is discussed that software-based traffic analysis, centralized control, dynamic updating of forwarding rules and flow abstraction are to be considered.
Abstract: OpenFlow is currently the most commonly deployed Software Defined Networking (SDN) technology. SDN consists of decoupling the control and data planes of a network. A software-based controller is responsible for managing the forwarding information of one or more switches; the hardware only handles the forwarding of traffic according to the rules set by the controller. OpenFlow is an SDN technology proposed to standardize the way that a controller communicates with network devices in an SDN architecture. It was proposed to enable researchers to test new ideas in a production environment. OpenFlow provides a specification to migrate the control logic from a switch into the controller. It also defines a protocol for the communication between the controller and the switches. As discussed in this survey paper, OpenFlow-based architectures have specific capabilities that can be exploited by researchers to experiment with new ideas and test novel applications. These capabilities include software-based traffic analysis, centralized control, dynamic updating of forwarding rules and flow abstraction. OpenFlow-based applications have been proposed to ease the configuration of a network, to simplify network management and to add security features, to virtualize networks and data centers and to deploy mobile systems. These applications run on top of networking operating systems such as Nox, Beacon, Maestro, Floodlight, Trema or Node.Flow. Larger scale OpenFlow infrastructures have been deployed to allow the research community to run experiments and test their applications in more realistic scenarios. Also, studies have measured the performance of OpenFlow networks through modelling and experimentation. We describe the challenges facing the large scale deployment of OpenFlow-based networks and we discuss future research directions of this technology.
Western Kentucky University1, Cooperative Institute for Research in Environmental Sciences2, University of Nebraska–Lincoln3, Purdue University4, University of Queensland5, Pennsylvania State University6, Cooperative Institute for Research in the Atmosphere7, Agriculture and Agri-Food Canada8, John Deere9, Oak Ridge National Laboratory10, University of Alabama in Huntsville11, University of Delaware12, University of Georgia13, Chinese Academy of Sciences14, University of Colorado Boulder15, Texas A&M University16, Tuskegee University17
TL;DR: In this article, the authors provide an overview and synthesis of some of the most notable types of land cover changes and their impacts on climate, including agriculture, deforestation and afforestation, desertification, and urbanization.
Abstract: Land cover changes (LCCs) play an important role in the climate system. Research over recent decades highlights the impacts of these changes on atmospheric temperature, humidity, cloud cover, circulation, and precipitation. These impacts range from the local- and regional-scale to sub-continental and global-scale. It has been found that the impacts of regional-scale LCC in one area may also be manifested in other parts of the world as a climatic teleconnection. In light of these findings, this article provides an overview and synthesis of some of the most notable types of LCC and their impacts on climate. These LCC types include agriculture, deforestation and afforestation, desertification, and urbanization. In addition, this article provides a discussion on challenges to, and future research directions in, assessing the climatic impacts of LCC.
26 May 2014
TL;DR: In this paper, a description of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices is provided.
Abstract: A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tt events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p_T > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p_T = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p_T, and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung.
TL;DR: In this paper, a comprehensive first-principles study of the electronic properties of phosphorene nanoribbons, phosphorus nanotubes, multilayer PN sheets, and two-dimensional transition metal dichalcogenide (TMDC) monolayer was performed.
Abstract: We perform a comprehensive first-principles study of the electronic properties of phosphorene nanoribbons, phosphorus nanotubes, multilayer phosphorene sheets, and heterobilayers of phosphorene and two-dimensional (2D) transition-metal dichalcogenide (TMDC) monolayer The tensile strain and electric-field effects on electronic properties of low-dimensional phosphorene nanostructures are also investigated Our calculations show that the bare zigzag phosphorene nanoribbons (z-PNRs) are metals regardless of the ribbon width, whereas the bare armchair phosphorene nanoribbons (a-PNRs) are semiconductors with indirect bandgaps and the bandgaps decrease with increasing ribbon width We find that compressive (or tensile) strains can reduce (or enlarge) the bandgap of the bare a-PNRs while an in-plane electric field can significantly reduce the bandgap of the bare a-PNRs, leading to the semiconductor-to-metal transition beyond certain electric field For edge-passivated PNR by hydrogen, z-PNRs become semiconductor
TL;DR: In this article, the surface composition of stoichiometric Fe3O4 capped with a mixture of monodentate carboxylate and chemisorbed amine was determined by X-ray photoelectron spectroscopy.
Agro ParisTech1, Institut national de la recherche agronomique2, University of Florida3, Goddard Institute for Space Studies4, Michigan State University5, University of Basilicata6, Wageningen University and Research Centre7, Empresa Brasileira de Pesquisa Agropecuária8, University of East Anglia9, University of Tübingen10, University of Nebraska–Lincoln11, United States Department of Agriculture12, Pacific Northwest National Laboratory13, Pennsylvania State University14, University of Washington15, Indian Agricultural Research Institute16, Potsdam Institute for Climate Impact Research17, Chinese Academy of Sciences18, Plant & Food Research19
TL;DR: The largest maize crop model intercomparison to date, including 23 different models, is presented, suggesting that using an ensemble of models has merit and there was a large uncertainty in the yield response to [CO2 ] among models.
Abstract: Potential consequences of climate change on crop production can be studied using mechanistic crop simulation models. While a broad variety of maize simulation models exist, it is not known whether different models diverge on grain yield responses to changes in climatic factors, or whether they agree in their general trends related to phenology, growth, and yield. With the goal of analyzing the sensitivity of simulated yields to changes in temperature and atmospheric carbon dioxide concentrations [CO2], we present the largest maize crop model intercomparison to date, including 23 different models. These models were evaluated for four locations representing a wide range of maize production conditions in the world: Lusignan (France), Ames (USA), Rio Verde (Brazil) and Morogoro (Tanzania). While individual models differed considerably in absolute yield simulation at the four sites, an ensemble of a minimum number of models was able to simulate absolute yields accurately at the four sites even with low data for calibration, thus suggesting that using an ensemble of models has merit. Temperature increase had strong negative influence on modeled yield response of roughly -0.5 Mg ha(-1) per degrees C. Doubling [CO2] from 360 to 720 mu mol mol(-1) increased grain yield by 7.5% on average across models and the sites. That would therefore make temperature the main factor altering maize yields at the end of this century. Furthermore, there was a large uncertainty in the yield response to [CO2] among models. Model responses to temperature and [CO2] did not differ whether models were simulated with low calibration information or, simulated with high level of calibration information.
TL;DR: In this article, self-doping in perovskite was found to be either n- or p-doped by changing the ratio of methylammonium halide (MAI) and lead iodine (PbI2).
Abstract: We report the observation of self-doping in perovskite. CH3NH3PbI3 was found to be either n- or p-doped by changing the ratio of methylammonium halide (MAI) and lead iodine (PbI2) which are the two precursors for perovskite formation. MAI-rich and PbI2-rich perovskite films are p and n self-doped, respectively. Thermal annealing can convert the p-type perovskite to n-type by removing MAI. The carrier concentration varied as much as six orders of magnitude. A clear correlation between doping level and device performance was also observed.
TL;DR: This research indicated that GWAS not only identified most of the previously reported QTL controlling seed protein and oil, but also resulted in narrower genomic regions than the regions reported as containing these QTL.
Abstract: Background: Association analysis is an alternative to conventional family-based methods to detect the location of gene(s) or quantitative trait loci (QTL) and provides relatively high resolution in terms of defining the genome position of a gene or QTL. Seed protein and oil concentration are quantitative traits which are determined by the interaction among many genes with small to moderate genetic effects and their interaction with the environment. In this study, a genome-wide association study (GWAS) was performed to identify quantitative trait loci (QTL) controlling seed protein and oil concentration in 298 soybean germplasm accessions exhibiting a wide range of seed protein and oil content. Results: A total of 55,159 single nucleotide polymorphisms (SNPs) were genotyped using various methods including Illumina Infinium and GoldenGate assays and 31,954 markers with minor allele frequency >0.10 were used to estimate linkage disequilibrium (LD) in heterochromatic and euchromatic regions. In euchromatic regions, the mean LD (r 2 ) rapidly declined to 0.2 within 360 Kbp, whereas the mean LD declined to 0.2 at 9,600 Kbp in heterochromatic regions. The GWAS results identified 40 SNPs in 17 different genomic regions significantly associated with seed protein. Of these, the five SNPs with the highest associations and seven adjacent SNPs were located in the 27.6-30.0 Mbp region of Gm20. A major seed protein QTL has been previously mapped to the same location and potential candidate genes have recently been identified in this region. The GWAS results also detected 25 SNPs in 13 different genomic regions associated with seed oil. Of these markers, seven SNPs had a significant association with both protein and oil. Conclusions: This research indicated that GWAS not only identified most of the previously reported QTL controlling seed protein and oil, but also resulted in narrower genomic regions than the regions reported as containing these QTL. The narrower GWAS-defined genome regions will allow more precise marker-assisted allele selection and will expedite positional cloning of the causal gene(s).
TL;DR: In this paper, the authors presented the results of a project with the European Research Council and EPLANET (European Union) with the objective of supporting the development of a research network in the field of nuclear energy.
Abstract: Austrian Federal Ministry of Science and Research and the Austrian Science Fund; the Belgian Fonds de la Recherche Scientifique and Fonds voor Wetenschappelijk Onderzoek; the Brazilian Funding Agencies (CNPq, CAPES, FAPERJ, and FAPESP); the Bulgarian Ministry of Education and Science; CERN; the Chinese Academy of Sciences, Ministry of Science and Technology, and National Natural Science Foundation of China; the Colombian Funding Agency (COLCIENCIAS); the Croatian Ministry of Science, Education and Sport, and the Croatian Science Foundation; the Research Promotion Foundation, Cyprus; the Ministry of Education and Research, Recurrent Financing Contract No. SF0690030s09 and European Regional Development Fund, Estonia; the Academy of Finland, Finnish Ministry of Education and Culture, and Helsinki Institute of Physics; the Institut National de Physique Nucleaire et de Physique des Particules/CNRS and Commissariat a l’Energie Atomique et aux Energies Alternatives/CEA, France; the Bundesministerium fur Bildung und Forschung, Deutsche Forschungsgemeinschaft, and Helmholtz-Gemeinschaft Deutscher Forschungszentren, Germany; the General Secretariat for Research and Technology, Greece; the National Scientific Research Foundation and National Innovation Office, Hungary; the Department of Atomic Energy and the Department of Science and Technology, India; the Institute for Studies in Theoretical Physics and Mathematics, Iran; the Science Foundation, Ireland; the Istituto Nazionale di Fisica Nucleare, Italy; the Korean Ministry of Education, Science and Technology and the World Class University program of NRF, Republic of Korea; the Lithuanian Academy of Sciences; the Mexican Funding Agencies (CINVESTAV, CONACYT, SEP, and UASLP-FAI); the Ministry of Business, Innovation and Employment, New Zealand; the Pakistan Atomic Energy Commission; the Ministry of Science and Higher Education and the National Science Centre, Poland; the Fundacao para a Ciencia e a Tecnologia, Portugal; JINR, Dubna, the Ministry of Education and Science of the Russian Federation, the Federal Agency of Atomic Energy of the Russian Federation, Russian Academy of Sciences, and the Russian Foundation for Basic Research; the Ministry of Education, Science and Technological Development of Serbia; the Secretaria de Estado de Investigacion, Desarrollo e Innovacion and Programa Consolider-Ingenio 2010, Spain; the Swiss Funding Agencies (ETH Board, ETH Zurich, PSI, SNF, UniZH, Canton Zurich, and SER); the National Science Council, Taipei; the Thailand Center of Excellence in Physics, the Institute for the Promotion of Teaching Science and Technology of Thailand, Special Task Force for Activating Research and the National Science and Technology Development Agency of Thailand; the Scientific and Technical Research Council of Turkey and the Turkish Atomic Energy Authority; the Science and Technology Facilities Council, United Kingdom; the U.S. Department of Energy and the U.S. National Science Foundation.Individuals have received support from the Marie-Curie program and the European Research Council and EPLANET (European Union); the Leventis Foundation; the A. P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian Federal Science Policy Office; the Fonds pour la Formation a la Recherche dans l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor Innovatie door Wetenschap en Technologie (IWT-Belgium); the Ministry of Education, Youth and Sports (MEYS) of the Czech Republic; the Council of Science and Industrial Research, India; the Compagnia di San Paolo (Torino); the HOMING PLUS programme of Foundation for Polish Science, cofinanced by EU, Regional Development Fund; and the Thalis and Aristeia programmes cofinanced by EU-ESF and the Greek NSRF.
TL;DR: Proof-of-efficiency of Cas9/sgRNAs in producing large chromosomal deletions involving three different clusters of genes in rice protoplasts and verification of deletions of two clusters in regenerated T0 generation plants are demonstrated.
Abstract: The Cas9/sgRNA of the CRISPR/Cas system has emerged as a robust technology for targeted gene editing in various organisms, including plants, where Cas9/sgRNA-mediated small deletions/insertions at single cleavage sites have been reported in transient and stable transformations, although genetic transmission of edits has been reported only in Arabidopsis and rice. Large chromosomal excision between two remote nuclease-targeted loci has been reported only in a few non-plant species. Here we report in rice Cas9/sgRNA-induced large chromosomal segment deletions, the inheritance of genome edits in multiple generations and construction of a set of facile vectors for high-efficiency, multiplex gene targeting. Four sugar efflux transporter genes were modified in rice at high efficiency; the most efficient system yielding 87-100% editing in T0 transgenic plants, all with di-allelic edits. Furthermore, genetic crosses segregating Cas9/sgRNA transgenes away from edited genes yielded several genome-edited but transgene-free rice plants. We also demonstrated proof-of-efficiency of Cas9/sgRNAs in producing large chromosomal deletions (115-245 kb) involving three different clusters of genes in rice protoplasts and verification of deletions of two clusters in regenerated T0 generation plants. Together, these data demonstrate the power of our Cas9/sgRNA platform for targeted gene/genome editing in rice and other crops, enabling both basic research and agricultural applications.
TL;DR: In the same way businesses use big data to pursue profits, governments use it to promote the public good.
Abstract: In the same way businesses use big data to pursue profits, governments use it to promote the public good.
Vardan Khachatryan1, Robin Erbacher2, C. A. Carrillo Montoya3, Chang-Seong Moon4 +2123 more•Institutions (138)
TL;DR: In this paper, the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported using the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods.
Abstract: Observation of the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported. The analysis uses the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods. The data samples correspond to integrated luminosities of 5.1 inverse femtobarns at sqrt(s) = 7 TeV and 19.7 inverse femtobarns at 8 TeV. A clear signal is observed in the diphoton channel at a mass close to 125 GeV with a local significance of 5.7 sigma, where a significance of 5.2 sigma is expected for the standard model Higgs boson. The mass is measured to be 124.70 +/- 0.34 GeV = 124.70 +/- 0.31 (stat) +/- 0.15 (syst) GeV, and the best-fit signal strength relative to the standard model prediction is 1.14 +0.26/-0.23 = 1.14 +/- 0.21 (stat) +0.09/-0.05 (syst) +0.13/-0.09 (theo). Additional measurements include the signal strength modifiers associated with different production mechanisms, and hypothesis tests between spin-0 and spin-2 models.
TL;DR: Wang et al. as mentioned in this paper computed the Standardized Precipitation Evapotranspiration Index (SPEI) based on the monthly precipitation and air temperature values at 609 locations over China during the period 1951-2010.
Abstract: The Standardized Precipitation Evapotranspiration Index (SPEI) was computed based on the monthly precipitation and air temperature values at 609 locations over China during the period 1951–2010.Various characteristics of drought across China were examined including: long-term trends, percentage of area affected, intensity, duration, and drought frequency. The results revealed that severe and extreme droughts have become more serious since late 1990s for all of China (with dry area increasing by ∼3.72% per decade); and persistent multi-year severe droughts were more frequent in North China, Northeast China, and western Northwest China; significant drying trends occurred over North China, the southwest region of Northeast China, central and eastern regions of Northwest China, the central and southwestern parts of Southwest China and southwestern and northeastern parts of western Northwest mainly due to a decrease in precipitation coupled with a general increase in temperature. In addition, North China, the western Northwest China, and the Southwest China had their longest drought durations during the 1990s and 2000s. Droughts also affected western Northwest, eastern Northwest, North, and Northeast regions of China more frequently during the recent three decades. The results of this article could provide certain references and triggers for establishing a drought early warning system in China. © 2013 Royal Meteorological Society
TL;DR: In this paper, the authors discuss the underlying concepts of drought, the principles and objectives of national drought policies and a drought planning process that has been effective in the preparation of drought mitigation plans.
Abstract: There is increasing concern worldwide about the ineffectiveness of current drought management practices that are largely based on crisis management. These practices are reactive and, therefore, only treat the symptoms (impacts) of drought rather than the underlying causes for the vulnerabilities associated with impacts. Through the adoption of national drought policies that are focused on risk reduction and complemented by drought mitigation or preparedness plans at various levels of government, the coping capacity of nations to manage droughts can be improved. The time for adopting an approach that emphasizes drought risk reduction is now, given the spiraling impacts of droughts in an ever-increasing number of sectors and the current and projected trends for the increased frequency, severity and duration of drought events in association with a changing climate. This paper discusses the underlying concepts of drought, the principles and objectives of national drought policies and a drought planning process that has been effective in the preparation of drought mitigation plans.