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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
20/06/2016 |
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Data da última atualização: |
21/06/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VIANA, A. P.; RESENDE, M. D. V. de; RIAZ, S.; WALKER, M. A. |
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Afiliação: |
Alexandre Pio Viana, Universidade Estadual do Norte Fluminense; MARCOS DEON VILELA DE RESENDE, CNPF; Summaira Riaz, Universidade da Califórnia; Michael Andrew Walker, Universidade da Califórinia. |
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Título: |
Genome selection in fruit breeding: application to table grapes. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Scientia Agricola, Piracicaba, v. 73, n. 2, p. 142-149, Mar./Apr. 2016. |
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DOI: |
http://dx.doi.org/10.1590/0103-9016-2014-0323 |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic selection afforded greater efficiency than QTL analysis and can be very useful in speeding up the selection procedures for agronomic traits in table grapes. MenosGenomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic select... Mostrar Tudo |
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Palavras-Chave: |
Genomic selection; Marker assisted selection; MAS; Melhoramento genético; SSR markers; Uva de mesa. |
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Thesagro: |
Fruta; Marcador molecular; Melhoramento vegetal; Uva. |
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Thesaurus Nal: |
Fruits; linkage disequilibrium; Plant breeding; Table grapes. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/144571/1/2016-M.Deon-SA-GenomeSelection.pdf
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Marc: |
LEADER 02617naa a2200337 a 4500
001 2047486
005 2016-06-21
008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1590/0103-9016-2014-0323$2DOI
100 1 $aVIANA, A. P.
245 $aGenome selection in fruit breeding$bapplication to table grapes.$h[electronic resource]
260 $c2016
520 $aGenomic selection (GS) has recently been proposed as a new selection strategy which represents an innovative paradigm in crop improvement, now widely adopted in animal breeding. Genomic selection relies on phenotyping and high-density genotyping of a sufficiently large and representative sample of the target breeding population, so that the majority of loci that regulate a quantitative trait are in linkage disequilibrium with one or more molecular markers and can thus be captured by selection. In this study we address genomic selection in a practical fruit breeding context applying it to a breeding population of table grape obtained from a cross between the hybrid genotype D8909-15 (Vitis rupestris × Vitis arizonica/girdiana), which is resistant to dagger nematode and Pierce?s disease (PD), and ?B90-116?, a susceptible Vitis vinifera cultivar with desirable fruit characteristics. Our aim was to enhance the knowledge on the genomic variation of agronomical traits in table grape populations for future use in marker-assisted selection (MAS) and GS, by discovering a set of molecular markers associated with genomic regions involved in this variation. A number of Quantitative Trait Loci (QTL) were discovered but this method is inaccurate and the genetic architecture of the studied population was better captured by the BLasso method of genomic selection, which allowed for efficient inference about the genetic contribution of the various marker loci. The technology of genomic selection afforded greater efficiency than QTL analysis and can be very useful in speeding up the selection procedures for agronomic traits in table grapes.
650 $aFruits
650 $alinkage disequilibrium
650 $aPlant breeding
650 $aTable grapes
650 $aFruta
650 $aMarcador molecular
650 $aMelhoramento vegetal
650 $aUva
653 $aGenomic selection
653 $aMarker assisted selection
653 $aMAS
653 $aMelhoramento genético
653 $aSSR markers
653 $aUva de mesa
700 1 $aRESENDE, M. D. V. de
700 1 $aRIAZ, S.
700 1 $aWALKER, M. A.
773 $tScientia Agricola, Piracicaba$gv. 73, n. 2, p. 142-149, Mar./Apr. 2016.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
12/05/2022 |
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Data da última atualização: |
11/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BROEKMAN, M. J. E.; HILBERS, J. P.; HUIJBREGTS, M. A. J.; MUELLER, T.; ALI, A.; ANDRÉN, H.; ALTMANN, J.; ARONSSON, M.; ATTIAS, N.; BARTLAM-BROOKS, H. L. A.; BEEST, F. M. V.; BELANT, J. L.; BEYER, D. E.; BIDNER, L.; BLAUM, N.; BOONE, R. B.; BOYCE, M. S.; BROWN, M. B.; CAGNACCI, F.; CERNE, R.; CHAMAILLÉ-JAMMES, S.; DEJID, N.; DEKKER, J.; DESBIEZ, A. L. J.; DÍAZ-MUÑOZ, S. L.; FENNESSY, J.; FICHTEL, C.; FISCHER, C.; FISHER, J. T.; FISCHHOFF, I.; FORD, A. T.; FRYXELL, J. M.; GEHR, B.; GOHEEN, J. R.; HAUPTFLEISCH, M.; HEWISON, A. J. M.; HERING, R.; HEURICH, M.; ISBELL, L. A.; JANSSEN, R.; JELTSCH, F.; KACZENSKY, P.; KAPPELER, P. M.; KROFEL, M.; LAPOINT, S.; LATHAM, A. D. M.; LINNELL, J. D. C.; MARKHAM, A. C.; MATTISSON, J.; MEDICI, E. P.; MOURAO, G.; MOORTER, B. V.; MORATO, R. G.; MORELLET, N.; MYSTERUD, A.; MWIU, S.; ODDEN, J.; OLSON, K. A.; ORNICANS, A.; PAGON, N.; PANZACCHI, M.; PETROELJE, T.; ROLANDSEN, C. M.; ROSHIER, D.; RUBENSTEIN, D. I.; SAÏD, S.; SALEMGAREYEV, A. R.; SAWYER, H.; SCHMIDT, N. M.; SELVA, N.; SERGIEL, A.; STABACH, J.; STACY-DAWES, J.; STEWART, F. E. C.; STIEGLER, J.; STRAND, O.; SUNDARESAN, S.; SVOBODA, N. J.; ULLMANN, W.; VOIGT, U.; WALL, J.; WIKELSKI, M.; WILMERS, C. C.; ZIEBA, F.; ZWIJACZ-KOZICA, T.; SCHIPPER, A. M.; TUCKER, M. A. |
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Afiliação: |
MAARTEN J. E. BROEKMAN, Radboud University; JELLE P. HILBERS, Radboud University; MARK A. J. HUIJBREGTS, Radboud University; THOMAS MUELLER, Radboud University; ABDULLAHI H. ALI, Hirola Conservation Programme, Garissa; HENRIK ANDRÉN, Swedish University of Agricultural Sciences; JEANNE ALTMANN, Princeton University; MALIN ARONSSON, Swedish University of Agricultural Sciences; NINA ATTIAS, Federal University of Mato Grosso do Sul; HATTIE L. A. BARTLAM-BROOKS, Royal Veterinary College, London; FLORIS M. VAN BEEST, Aarhus University, Roskilde; JERROLD L. BELANT, State University of New York College of Environmental Science and Forestry; DEAN E. BEYER, Michigan State University; LAURA BIDNER, University of California; NIELS BLAUM, University of Potsdam; RANDALL B. BOONE, Colorado State University; MARK S. BOYCE, University of Alberta; MICHAEL B. BROWN, Giraffe Conservation Foundation, Eros; FRANCESCA CAGNACCI, Research and Innovation Centre; ROK CERNE, Slovenia Forest Service, Ljubljana; SIMON CHAMAILLÉ-JAMMES, Univ Paul Valéry Montpellier; NANDINTSETSEG DEJID, Senckenberg Gesellschaft für Naturforschung; JASJA DEKKER, Bionet Natuuronderzoek; ARNAUD L. J. DESBIEZ, Instituto de Conservação de Animais Silvestres (ICAS); SAMUEL L. DÍAZ-MUÑOZ, University of California; JULIAN FENNESSY, Giraffe Conservation Foundation; CLAUDIA FICHTEL, Behavioral Ecology and Sociobiology Unit, Göttingen; CHRISTINA FISCHER, Anhalt University of Applied Sciences; JASON T. FISHER, University of Victoria; ILYA FISCHHOFF, Cary Institute of Ecosystem Studies, Millbrook; ADAM T. FORD, University of British Columbia; JOHN M. FRYXELL, University of Guelph, Guelph; BENEDIKT GEHR, University of Zurich; JACOB R. GOHEEN, University of Wyoming; MORGAN HAUPTFLEISCH, Namibia University of Science and Technology; A. J. MARK HEWISON, Université de Toulouse; ROBERT HERING, University of Potsdam; MARCO HEURICH, Bavarian Forest National Park; LYNNE A. ISBELL, University of California; RENÉ JANSSEN, Bionet Natuuronderzoek; FLORIAN JELTSCH, University of Potsdam; PETRA KACZENSKY, Inland Norway University of Applied Sciences; PETER M. KAPPELER, Behavioral Ecology and Sociobiology Unit; MIHA KROFEL, Biotechnical Faculty, University of Ljubljana; SCOTT LAPOINT, Black Rock Forest, Cornwall; A. DAVID M. LATHAM, University of Alberta; JOHN D. C. LINNELL, Inland Norway University of Applied Sciences; A. CATHERINE MARKHAM, Stony Brook University; JENNY MATTISSON, Norwegian Institute for Nature Research; EMILIA PATRICIA MEDICI, Instituto de Pesquisas Ecológicas; GUILHERME DE MIRANDA MOURAO, CPAP; BRAM VAN MOORTER, Norwegian Institute for Nature Research; RONALDO G. MORATO, Chico Mendes Institute for the Conservation of Biodiversity; NICOLAS MORELLET, Université de Toulouse; ATLE MYSTERUD, Chico Mendes Institute for the Conservation of Biodiversity; STEPHEN MWIU, Wildlife Research and Training Institute; JOHN ODDEN, Norwegian Institute for Nature Research; KIRK A. OLSON, Wildlife Conservation Society; AIVARS ORNICANS, Latvian State Forest Research Institute; NIVES PAGON, Slovenia Forest Service; MANUELA PANZACCHI, Norwegian Institute for Nature Research; TYLER PETROELJE, State University of New York College of Environmental Science and Forestry; CHRISTER MOE ROLANDSEN, Norwegian Institute for Nature Research; DAVID ROSHIER, Australian Wildlife Conservancy; DANIEL I. RUBENSTEIN, Princeton University; SONIA SAÏD, Office Français de la Biodiversité; ALBERT R. SALEMGAREYEV, Association for the Conservation of Biodiversity of Kazakhstan (ACBK); HALL SAWYER, Western Ecosystems Technology Inc.; NIELS MARTIN SCHMIDT, Aarhus University; NURIA SELVA, Institute of Nature Conservation Polish Academy of Sciences; AGNIESZKA SERGIEL, Institute of Nature Conservation Polish Academy of Sciences; JARED STABACH, Smithsonian National Zoo and Conservation Biology Institute; JENNA STACY-DAWES, Conservation Science and Wildlife Health; FRANCES E. C. STEWART, University of Victoria; JONAS STIEGLER, University of Potsdam; OLAV STRAND, Norwegian Institute for Nature Research; SIVA SUNDARESAN, Greater Yellowstone Coalition; NATHAN J. SVOBODA, Mississippi State University; WIEBKE ULLMANN, University of Potsdam; ULRICH VOIGT, University of Veterinary Medicine Hannover Foundation; JAKE WALL, Mara Elephant Project; MARTIN WIKELSKI, Max Planck Institute of Animal Behavior; CHRISTOPHER C. WILMERS, University of California; FILIP ZIEBA, Tatra National Park, Zakopane; TOMASZ ZWIJACZ-KOZICA, Tatra National Park, Zakopane; AAFKE M. SCHIPPER, Radboud University; MARLEE A. TUCKER, Radboud University. |
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Título: |
Evaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Global Ecology Biogeography, v. 31, n. 8, p. 1526-1541, 2022. |
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DOI: |
10.1111/geb.13523 |
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Idioma: |
Inglês |
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Conteúdo: |
Macroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert-based information with detailed empirical evidence. Here, we compared expert-based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS-tracking data of 1,498 individuals from 49 mammal species. |
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Thesagro: |
Comportamento Animal. |
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Thesaurus NAL: |
Animal behavior; Telemetry. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/237049/1/Global-Ecology-and-Biogeography-2022-Broekman-Evaluating-expert8208based-habitat-suitability-information-of-terrestrial.pdf
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Marc: |
LEADER 03704naa a2201201 a 4500
001 2142892
005 2022-07-11
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1111/geb.13523$2DOI
100 1 $aBROEKMAN, M. J. E.
245 $aEvaluating expert-based habitat suitability information of terrestrial mammals with GPS-tracking data.$h[electronic resource]
260 $c2022
520 $aMacroecological studies that require habitat suitability data for many species often derive this information from expert opinion. However, expert-based information is inherently subjective and thus prone to errors. The increasing availability of GPS tracking data offers opportunities to evaluate and supplement expert-based information with detailed empirical evidence. Here, we compared expert-based habitat suitability information from the International Union for Conservation of Nature (IUCN) with habitat suitability information derived from GPS-tracking data of 1,498 individuals from 49 mammal species.
650 $aAnimal behavior
650 $aTelemetry
650 $aComportamento Animal
700 1 $aHILBERS, J. P.
700 1 $aHUIJBREGTS, M. A. J.
700 1 $aMUELLER, T.
700 1 $aALI, A.
700 1 $aANDRÉN, H.
700 1 $aALTMANN, J.
700 1 $aARONSSON, M.
700 1 $aATTIAS, N.
700 1 $aBARTLAM-BROOKS, H. L. A.
700 1 $aBEEST, F. M. V.
700 1 $aBELANT, J. L.
700 1 $aBEYER, D. E.
700 1 $aBIDNER, L.
700 1 $aBLAUM, N.
700 1 $aBOONE, R. B.
700 1 $aBOYCE, M. S.
700 1 $aBROWN, M. B.
700 1 $aCAGNACCI, F.
700 1 $aCERNE, R.
700 1 $aCHAMAILLÉ-JAMMES, S.
700 1 $aDEJID, N.
700 1 $aDEKKER, J.
700 1 $aDESBIEZ, A. L. J.
700 1 $aDÍAZ-MUÑOZ, S. L.
700 1 $aFENNESSY, J.
700 1 $aFICHTEL, C.
700 1 $aFISCHER, C.
700 1 $aFISHER, J. T.
700 1 $aFISCHHOFF, I.
700 1 $aFORD, A. T.
700 1 $aFRYXELL, J. M.
700 1 $aGEHR, B.
700 1 $aGOHEEN, J. R.
700 1 $aHAUPTFLEISCH, M.
700 1 $aHEWISON, A. J. M.
700 1 $aHERING, R.
700 1 $aHEURICH, M.
700 1 $aISBELL, L. A.
700 1 $aJANSSEN, R.
700 1 $aJELTSCH, F.
700 1 $aKACZENSKY, P.
700 1 $aKAPPELER, P. M.
700 1 $aKROFEL, M.
700 1 $aLAPOINT, S.
700 1 $aLATHAM, A. D. M.
700 1 $aLINNELL, J. D. C.
700 1 $aMARKHAM, A. C.
700 1 $aMATTISSON, J.
700 1 $aMEDICI, E. P.
700 1 $aMOURAO, G.
700 1 $aMOORTER, B. V.
700 1 $aMORATO, R. G.
700 1 $aMORELLET, N.
700 1 $aMYSTERUD, A.
700 1 $aMWIU, S.
700 1 $aODDEN, J.
700 1 $aOLSON, K. A.
700 1 $aORNICANS, A.
700 1 $aPAGON, N.
700 1 $aPANZACCHI, M.
700 1 $aPETROELJE, T.
700 1 $aROLANDSEN, C. M.
700 1 $aROSHIER, D.
700 1 $aRUBENSTEIN, D. I.
700 1 $aSAÏD, S.
700 1 $aSALEMGAREYEV, A. R.
700 1 $aSAWYER, H.
700 1 $aSCHMIDT, N. M.
700 1 $aSELVA, N.
700 1 $aSERGIEL, A.
700 1 $aSTABACH, J.
700 1 $aSTACY-DAWES, J.
700 1 $aSTEWART, F. E. C.
700 1 $aSTIEGLER, J.
700 1 $aSTRAND, O.
700 1 $aSUNDARESAN, S.
700 1 $aSVOBODA, N. J.
700 1 $aULLMANN, W.
700 1 $aVOIGT, U.
700 1 $aWALL, J.
700 1 $aWIKELSKI, M.
700 1 $aWILMERS, C. C.
700 1 $aZIEBA, F.
700 1 $aZWIJACZ-KOZICA, T.
700 1 $aSCHIPPER, A. M.
700 1 $aTUCKER, M. A.
773 $tGlobal Ecology Biogeography$gv. 31, n. 8, p. 1526-1541, 2022.
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