1,398 research outputs found
Registration of ‘Foster’ barley
No full textSteffenson, Brian; Horsley, R.D.; Franckowiak, J.D.; Schwarz, P.B.. (1997). Registration of ‘Foster’ barley. Retrieved from the University Digital Conservancy, 0011-183X
Linkage between the Rpg1 gene for stem rust resistance and the f5 locus on barley chromosome
No full textLinkage studies can expedite the transfer of agronomically important genes in breeding programs. A study was conducted to determine the linkage relationship between loci segregating for stem rust (Puccinia graminis Pers.:Pers. f. sp. tritici Eriks. & E. Henn.) resistance (Rpg1) and a chlorina mutant (f5), and to confirm the linkage among Rpg1, br1 (brachytic) and fc (chlorina seedling). ‘Bowman’ barley (Hordeum vulgare L.) was crossed to genetic stocks possessing br1, fc, and f5, respectively. Estimates of linkage distances were 9.6 ± 1.4% between Rpg1 and br1, 13.6 ± 1.8% between Rpg1 and fc, and 25.9 ± 2.6% between Rpg1 and f5. The linkage between Rpg1 and f5 was established.Steffenson, Brian; Jin, Yue; Franckowiak, Jerome D. (1993). Linkage between the Rpg1 gene for stem rust resistance and the f5 locus on barley chromosome. Retrieved from the University Digital Conservancy, 10.2135/cropsci1993.0011183X003300030043x
Catalog of Long-term Transient Sources in the First 10 yr of Fermi-LAT Data
No full textAuthors: L. Baldini, J. Ballet, D. Bastieri, J. Becerra Gonzalez, R. Bellazzini, A. Berretta, E. Bissaldi, R. D. Blandford, E. D. Bloom, R. Bonino, E. Bottacini, P. Bruel, S. Buson, R. A. Cameron, P. A. Caraveo, E. Cavazzuti, S. Chen, G. Chiaro, D. Ciangottini, N. Cibario, S. Ciprini, P. Cristarella Orestano, M. Crnogorcevic, S. Cutini, F. D'Ammando, P. de la Torre Luque, F. de Palma, S. W. Digel, N. Di Lalla, F. Dirirsa, L. Di Venere, A. Domínguez, A. Fiori, H. Fleischhack, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, F. Gargano, D. Gasparrini, S. Germani, N. Giglietto, F. Giordano, M. Giroletti, D. Green, I. A. Grenier, S. Griffin, S. Guiriec, M. Gustafsson, J. W. Hewitt, D. Horan, R. Imazawa, G. Jóhannesson, M. Kerr, D. Kocevski, M. Kuss, S. Larsson, L. Latronico, J. Li, I. Liodakis, F. Longo, F. Loparco, M. N. Lovellette, P. Lubrano, S. Maldera, A. Manfreda, G. Martí-Devesa, H. Matake, M. N. Mazziotta, I. Mereu, M. Meyer, N. Mirabal, W. Mitthumsiri, T. Mizuno, M. E. Monzani, A. Morselli, I. V. Moskalenko, S. Nagasawa, M. Negro, R. Ojha, M. Orienti, E. Orlando, M. Palatiello, V. Paliya, D. Paneque, Z. Pei, M. Persic, M. Pesce-Rollins, V. Petrosian, H. Poon, T. A. Porter, G. Principe, J. L. Racusin, S. Rainò, R. Rando, B. Rani, M. Razzano, S. Razzaque, A. Reimer, O. Reimer, P. M. Saz Parkinson, L. Scotton, D. Serini, C. Sgrò, E. J. Siskind, G. Spandre, P. Spinelli, D. J. Suson, H. Tajima, D. Tak, D. F. Torres, G. Tosti, E. Troja, K. Wood, M. Yassine, G. Zaharijas, and The Fermi-LAT Collaboration
Fermi-LAT Collaboration Authors: M. Ajello, W. B. Atwood, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri, R. Bellazzini, A. Berretta, B. Bhattacharyya, E. Bissaldi, R. D. Blandford, E. Bloom, R. Bonino, P. Bruel, R. Buehler, E. Burns, S. Buson, R. A. Cameron, P. A. Caraveo, E. Cavazzuti, N. Cibrario, S. Ciprini, C. J. Clark, I. Cognard, J. Coronado-Blazquez ´, M. Crnogorcevic, H. Cromartie, K. Crowter, S. Cutini, F. D’Ammando, S. De Gaetano, F. de Palma, S. W. Digel, N. Di Lalla, F. Fana Dirirsa, L. Di Venere, A. Dom´ınguez, E. C. Ferrara, A. Fiori, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, V. Gammaldi, F. Gargano, D. Gasparrini, N. Giglietto, F. Giordano, M. Giroletti, D. Green, I. A. Grenier, L. Guillemot, S. Guiriec, M. Gustafsson, A. K. Harding, E. Hays, J.W. Hewitt, D. Horan, X. Hou, G. Johannesson ´, M. J. Keith, M. Kerr†, M. Kramer, M. Kuss, S. Larsson, L. Latronico, J. Li, F. Longo, F. Loparco, M. N. Lovellette, P. Lubrano, S. Maldera, A. Manfreda, G. Mart´ı-Devesa, M. N. Mazziotta, I.Mereu, P. F. Michelson, N. Mirabal, W. Mitthumsiri, T. Mizuno, M. E. Monzani, A. Morselli, M. Negro, L. Nieder, R. Ojha, N. Omodei, M. Orienti, E. Orlando, J. F. Ormes, D. Paneque, A. Parthasarathy†, Z. Pei, M. Persic, M. Pesce-Rollins, R. Pillera, H. Poon, T. A. Porter, G. Principe, J. L. Racusin, S. Raino`, R. Rando, B. Rani, S. M. Ransom, P. S. Ray, M. Razzano, S. Razzaque, A. Reimer, O. Reimer, J. Roy, M. Sanchez-Conde ´, P. M. Saz Parkinson, J. Scargle, L. Scotton, D. Serini, C. Sgro` , E. J. Siskind, D. A. Smith, G. Spandre, R. Spiewak, P. Spinelli, I. Stairs, D. J. Suson, S. J. Swihart, S. Tabassum, J. B. Thayer, G. Theureau, D. F. Torres, E. Troja, J. Valverde, Z. Wadiasingh, K. Wood, G. ZaharijasWe present the first Fermi Large Area Telescope (LAT) catalog of long-term γ-ray transient sources (1FLT). This comprises sources that were detected on monthly time intervals during the first decade of Fermi-LAT operations. The monthly timescale allows us to identify transient and variable sources that were not yet reported in other Fermi-LAT catalogs. The monthly data sets were analyzed using a wavelet-based source detection algorithm that provided the candidate new transient sources. The search was limited to the extragalactic regions of the sky to avoid the dominance of the Galactic diffuse emission at low Galactic latitudes. The transient candidates were then analyzed using the standard Fermi-LAT maximum likelihood analysis method. All sources detected with a statistical significance above 4σ in at least one monthly bin were listed in the final catalog. The 1FLT catalog contains 142 transient γ-ray sources that are not included in the 4FGL-DR2 catalog. Many of these sources (102) have been confidently associated with active galactic nuclei (AGNs): 24 are associated with flat-spectrum radio quasars, 1 with a BL Lac object, 70 with blazars of uncertain type, 3 with radio galaxies, 1 with a compact steep-spectrum radio source, 1 with a steep-spectrum radio quasar, and 2 with AGNs of other types. The remaining 40 sources have no candidate counterparts at other wavelengths. The median γ-ray spectral index of the 1FLT-AGN sources is softer than that reported in the latest Fermi-LAT AGN general catalog. This result is consistent with the hypothesis that detection of the softest γ-ray emitters is less efficient when the data are integrated over year-long intervals.The Fermi-LAT Collaboration acknowledges generous ongoing support from a number of agencies and institutes that have supported both the development and the operation of the LAT, as well as scientific data analysis. These include the National Aeronautics and Space Administration and the Department of Energy in the United States; the Commissariat à l'Energie Atomique and the Centre National de la Recherche Scientifique/Institut National de Physique Nucléaire et de Physique des Particules in France; the Agenzia Spaziale Italiana and the Istituto Nazionale di Fisica Nucleare in Italy; the Ministry of Education, Culture, Sports, Science and Technology (MEXT), High Energy Accelerator Research Organization (KEK), and Japan Aerospace Exploration Agency (JAXA) in Japan; and the K. A. Wallenberg Foundation, the Swedish Research Council, and the Swedish National Space Board in Sweden.
Additional support for science analysis during the operations phase is gratefully acknowledged from the Istituto Nazionale di Astrofisica in Italy and the Centre National d'Études Spatiales in France. This work was performed in part under DOE contract DE-AC02-76SF00515. S.B. acknowledges financial support by the European Research Council for the ERC Starting grant MessMapp, under contract No. 949555. G.T. acknowledges support from grant ASI/INAF n.2015-023-R.1. This work has been partially supported by the EOSC-hub EU project G.A 777536, and special thanks go to Daniele Spiga (INFN Perugia) and Mirko Mariotti (University of Perugia) for help with the computing infrastructure.
Additional support for science analysis during the operations phase is gratefully acknowledged from Space Science Data Center Tools, 89 Open Universe portal, and VOU-Blazar Tool (see footnote 83) (Giommi et al. 2019, 2020). Special thanks are due to Benoit Lott who contributed to the source association, and to the members of the Fermi-LAT collaboration who have provided their help in every step of this work.https://iopscience.iop.org/article/10.3847/1538-4365/ac072a/met
D-Egg: A dual PMT optical module for IceCube
No full textThe D-Egg, an acronym for "Dual optical sensors in an Ellipsoid Glass for Gen2,"is one of the optical modules designed for future extensions of the IceCube experiment at the South Pole. The D-Egg has an elongated-sphere shape to maximize the photon-sensitive effective area while maintaining a narrow diameter to reduce the cost and the time needed for drilling of the deployment holes in the glacial ice for the optical modules at depths up to 2700 m. The D-Egg design is utilized for the IceCube Upgrade, the next stage of the IceCube project also known as IceCube-Gen2 Phase 1, where nearly half of the optical sensors to be deployed are D-Eggs. With two 8-inch high-quantum efficiency photomultiplier tubes (PMTs) per module, D-Eggs offer an increased effective area while retaining the successful design of the IceCube digital optical module (DOM). The convolution of the wavelength-dependent effective area and the Cherenkov emission spectrum provides an effective photodetection sensitivity that is 2.8 times larger than that of IceCube DOMs. The signal of each of the two PMTs is digitized using ultra-low-power 14-bit analog-to-digital converters with a sampling frequency of 240 MSPS, enabling a flexible event triggering, as well as seamless and lossless event recording of single-photon signals to multi-photons exceeding 200 photoelectrons within 10 ns. Mass production of D-Eggs has been completed, with 277 out of the 310 D-Eggs produced to be used in the IceCube Upgrade. In this paper, we report the design of the D-Eggs, as well as the sensitivity and the single to multi-photon detection performance of mass-produced D-Eggs measured in a laboratory using the built-in data acquisition system in each D-Egg optical sensor module
Descriptions of barley Bowman <em>Rph3.c </em>mutants: <em>nec8.3550, nec9.3091</em>, <em>mtt8.1661</em> and <em>mtt9.2721</em> : In: Full Description of barley genetic stocks (eds. Jerome D. Franckowiak and Udda Lundqvist)
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Performance of the D-Egg Optical Sensor for the IceCube Upgrade
No full textNew optical sensors called the “D-Egg” have been developed for cost-effective instrumentation for the IceCube Upgrade. With two 8-inch high quantum efficient photomultiplier tubes (PMTs), they offer increased effective photocathode area while retaining as much of the successful IceCube Digital Optical Module design as possible. Mass production of D-Eggs has started in 2020. By the end of 2021, there will be 310 D-Eggs produced with 288 deployed in the IceCube Upgrade. The D-Egg readout system uses advanced technologies in electronics and computing power. Each of the two PMT signals is digitised using ultra-low-power 14-bit ADCs with a sampling frequency of 240 MSPS, enabling seamless and lossless event recording from single-photon signals to signals exceeding 200 PE within 10 ns, as well as flexible event triggering. In this paper, we report the single photon detection performance as well as the multiple photon recording capability of D-Eggs from the mass production line which have been evaluated with the built-in data acquisition system
Exploiting induced variation to dissect quantitative traits in barley
No full textThe identification of genes underlying complex quantitative traits such as grain yield by means of conventional genetic analysis (positional cloning) requires the development of several large mapping populations. However, it is possible that phenotypically related, but more extreme, allelic variants generated by mutational studies could provide a means for more efficient cloning of QTLs (quantitative trait loci). In barley (Hordeum vulgare), with the development of high-throughput genome analysis tools, efficient genome-wide identification of genetic loci harbouring mutant alleles has recently become possible. Genotypic data from NILs (near-isogenic lines) that carry induced or natural variants of genes that control aspects of plant development can be compared with the location of QTLs to potentially identify candidate genes for development--related traits such as grain yield. As yield itself can be divided into a number of allometric component traits such as tillers per plant, kernels per spike and kernel size, mutant alleles that both affect these traits and are located within the confidence intervals for major yield QTLs may represent extreme variants of the underlying genes. In addition, the development of detailed comparative genomic models based on the alignment of a high-density barley gene map with the rice and sorghum physical maps, has enabled an informed prioritization of 'known function' genes as candidates for both QTLs and induced mutant genes.Arnis Druka, Jerome Franckowiak, Udda Lundqvist, Nicola Bonar, Jill Alexander, Justyna Guzy-Wrobelska, Luke Ramsay, Ilze Druka, Iain Grant, Malcolm Macaulay, Vera Vendramin, Fahimeh Shahinnia, Slobodanka Radovic, Kelly Houston, David Harrap, Linda Cardle, David Marshall, Michele Morgante, Nils Stein, and Robbie Waug
Search for Spectral Irregularities due to Photon–Axionlike-Particle Oscillations with the Fermi Large Area Telescope
No full textM. Ajello, A. Albert, B. Anderson, L. Baldini, G. Barbiellini, D. Bastieri, R. Bellazzini, E. Bissaldi, R. D. Blandford, E. D. Bloom, R. Bonino, E. Bottacini, J. Bregeon, P. Bruel, R. Buehler, G. A. Caliandro, R. A. Cameron, M. Caragiulo, P. A. Caraveo, C. Cecchi, A. Chekhtman, S. Ciprini, J. Cohen-Tanugi, J. Conrad, F. Costanza, F. D’Ammando, A. de Angelis, F. de Palma, R. Desiante, M. Di Mauro, L. Di Venere, A. Domínguez, P. S. Drell, C. Favuzzi, W. B. Focke, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, F. Gargano, D. Gasparrini, N. Giglietto, T. Glanzman, G. Godfrey, S. Guiriec, D. Horan, G. Jóhannesson, M. Katsuragawa, S. Kensei, M. Kuss, S. Larsson, L. Latronico, J. Li, L. Li, F. Longo, F. Loparco, P. Lubrano, G. M. Madejski, S. Maldera, A. Manfreda, M. Mayer, M. N. Mazziotta, M. Meyer, P. F. Michelson, N. Mirabal, T. Mizuno, M. E. Monzani, A. Morselli, I. V. Moskalenko, S. Murgia, M. Negro, E. Nuss, C. Okada, E. Orlando, J. F. Ormes, D. Paneque, J. S. Perkins, M. Pesce-Rollins, F. Piron, G. Pivato, T. A. Porter, S. Rainò, R. Rando, M. Razzano, A. Reimer, M. Sánchez-Conde, C. Sgrò,D. Simone, E. J. Siskind, F. Spada, G. Spandre, P. Spinelli, H. Takahashi, J. B. Thayer, D. F. Torres, G. Tosti, E. Troja, Y. Uchiyama, K. S. Wood, M. Wood, G. Zaharijas, and S. Zimmer.We report on the search for spectral irregularities induced by oscillations between photons and axionlike-particles (ALPs) in the
γ-ray spectrum of NGC 1275, the central galaxy of the Perseus cluster. Using 6 years of Fermi Large Area Telescope data, we find no evidence for ALPs and exclude couplings above 5×10⁻¹² GeV⁻¹ for ALP masses 0.5≲ma≲5 neV at 95% confidence. The limits are competitive with the sensitivity of planned laboratory experiments, and, together with other bounds, strongly constrain the possibility that ALPs can reduce the γ-ray opacity of the Universe.The Fermi-LAT Collaboration acknowledges support for LAT development, operation, and data analysis from NASA and DOE (U.S.), CEA/Irfu and IN2P3/CNRS (France), ASI and INFN (Italy), MEXT, KEK, and JAXA (Japan), and the K. A. Wallenberg Foundation, the Swedish Research Council, and the National Space Board (Sweden). Science analysis support in the operations
phase from INAF (Italy) and CNES (France) is also gratefully acknowledged. J. C. is a Wallenberg Academy Fellow. S. G. and N. M. are NASA Postdoctoral Program Fellows. M. R. is funded by Contract No. FIRB-2012-RBFR12PM1F from the Italian Ministry of Education, University and Research (MIUR).https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.16110
FERMI LARGE AREA TELESCOPE THIRD SOURCE CATALOG
No full textF. Acero, M. Ackermann, M. Ajello, A. Albert, W. B. Atwood, M. Axelsson, L. Baldini, J. Ballet, G. Barbiellini, D. Bastieri A. Belfiore, R. Bellazzini, E. Bissaldi, R. D. Blandford, E. D. Bloom, J. R. Bogart, R. Bonino, E. Bottacini, J. Bregeon, R. J. Britto, P. Bruel, R. Buehler, T. H. Burnett, S. Buson, G. A. Caliandro, R. A. Cameron, R. Caputo, M. Caragiulo, P. A. Caraveo, J. M. Casandjian,
E. Cavazzuti, E. Charles, R. C. G. Chaves, A. Chekhtman, C. C. Cheung, J. Chiang, G. Chiaro, S. Ciprini, R. Claus, J. Cohen- Tanugi, L. R. Cominsky, J. Conrad, S. Cutini, F. D’Ammando, A. de Angelis, M. DeKlotz, F. de Palma, R. Desiante, S. W. Digel, L. Di Venere, P. S. Drell, R. Dubois, D. Dumora, C. Favuzzi, S. J. Fegan, E. C. Ferrara, J. Finke, A. Franckowiak, Y. Fukazawa, S. Funk, P. Fusco, F. Gargano, D. Gasparrini, B. Giebels, N. Giglietto, P. Giommi, F. Giordano, M. Giroletti, T. Glanzman, G. Godfrey, I. A. Grenier, M.-H. Grondin, J. E. Grove, L. Guillemot, S. Guiriec, D. Hadasch, A. K. Harding, E. Hays, J. W. Hewitt, A. B. Hill, D. Horan, G. Iafrate, T. Jogler, G. Jóhannesson, R. P. Johnson, A. S. Johnson, T. J. Johnson, W. N. Johnson, T. Kamae, J. Kataoka,
J. Katsuta, M. Kuss, G. La Mura, D. Landriu, S. Larsson, L. Latronico, M. Lemoine- Goumard, J. Li, L. Li, F. Longo F. Loparco, B. Lott, M. N. Lovellette, P. Lubrano, G. M. Madejski, F. Massaro, M. Mayer, M. N. Mazziotta, J. E. McEnery, P. F. Michelson, N. Mirabal, T. Mizuno, A. A. Moiseev, M. Mongelli, M. E. Monzani, A. Morselli, I. V. Moskalenko, S. Murgia, E. Nuss, M. Ohno, T. Ohsugi, N. Omodei, M. Orienti, E. Orlando, J. F. Ormes, D. Paneque, J. H. Panetta, J. S. Perkins, M. Pesce- Rollins, F. Piron, G. Pivato, T. A. Porter, J. L. Racusin, R. Rando, M. Razzano, S. Razzaque, A. Reimer, O. Reimer, T. Reposeur, L. S. Rochester, R. W. Romani, D. Salvetti, M. Sánchez- Conde, P. M. Saz Parkinson, A. Schulz, E. J. Siskind, D. A. Smith, F. Spada, G. Spandre, P. Spinelli, T. E. Stephens, A. W. Strong, D. J. Suson, H. Takahashi, T. Takahashi, Y. Tanaka, J. G. Thayer, J. B. Thayer, D. J. Thompson, L. Tibaldo, O. Tibolla, D. F. Torres, E. Torresi, G. Tosti, E. Troja, B. Van Klaveren, G. Vianello, B. L. Winer, K. S. Wood, M. Wood, and S. ZimmerWe present the third Fermi Large Area Telescope (LAT) source catalog (3FGL) of sources in the 100 MeV–300 GeV range. Based on the first 4 yr of science data from the Fermi Gamma-ray Space Telescope mission, it is the deepest yet in this energy range. Relative to the Second Fermi LAT catalog, the 3FGL catalog incorporates twice as much data, as well as a number of analysis improvements, including improved calibrations at the event reconstruction level, an updated model for Galactic diffuse γ-ray emission, a refined procedure for source detection, and improved methods for associating LAT sources with potential counterparts at other wavelengths. The 3FGL catalog includes 3033 sources above 4σ significance, with source location regions, spectral properties, and monthly light curves for each. Of these, 78 are flagged as potentially being due to imperfections in the model for Galactic diffuse emission. Twenty-five sources are modeled explicitly as spatially extended, and overall 238 sources are considered as identified based on angular extent or correlated variability (periodic or otherwise) observed at other wavelengths. For 1010 sources we have not found plausible counterparts at other wavelengths. More than 1100 of the identified or associated sources are active galaxies of the blazar class; several other classes of non-blazar active galaxies are also represented in the 3FGL. Pulsars represent the largest Galactic source class. From source counts of Galactic sources we estimate that the contribution of unresolved sources to the Galactic diffuse emission is ~3% at 1 GeV.The Fermi-LAT Collaboration acknowledges generous ongoing support from a number of agencies and institutes that have supported both the development and the operation of the LAT, as well as scientific data analysis. These include the National Aeronautics and Space Administration and the Department of Energy in the United States; the Commissariat à l'Energie Atomique and the Centre National de la Recherche Scientifique/Institut National de Physique Nucléaire et de Physique des Particules in France; the Agenzia Spaziale Italiana and the Istituto Nazionale di Fisica Nucleare in Italy; the Ministry of Education, Culture, Sports, Science and Technology (MEXT), High Energy Accelerator Research Organization (KEK) and Japan Aerospace Exploration Agency (JAXA) in Japan; and the K. A. Wallenberg Foundation, the Swedish Research Council, and the Swedish National Space Board in Sweden.
Additional support for science analysis during the operations phase is gratefully acknowledged from the Istituto Nazionale di Astrofisica in Italy and the Centre National d'Études Spatiales in France.
This work made extensive use of the ATNF pulsar catalog98 (Manchester et al. 2005). This research has made use of the NASA/IPAC Extragalactic Database (NED), which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration, and of archival data, software, and online services provided by the ASI Science Data Center (ASDC), operated by the Italian Space Agency.
This research has made use of Aladin,99 TOPCAT100 and APLpy, an open-source plotting package for Python.101 The authors acknowledge the use of HEALPix102 (Górski et al. 2005).https://iopscience.iop.org/article/10.1088/0067-0049/218/2/23http://vizier.u-strasbg.fr/viz-bin/VizieR?-source=J/ApJS/218/2
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