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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
02/12/2016 |
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Data da última atualização: |
02/12/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PADUA, J. M. V.; DIAS, K. O. das G.; PASTINA, M. M.; SOUZA, J. C. de; QUEIROZ, V. A. V.; COSTA, R. V. da; SILVA, M. B. P. da; RIBEIRO, C. A. G.; GUIMARAES, C. T.; GEZAN, S. A.; GUIMARAES, L. J. M. |
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Afiliação: |
José Maria Villela Pádua, Companhia Souza Cruz; Kaio Olímpio das Graças Dias, Universidade Federal de Lavras; MARIA MARTA PASTINA, CNPMS; João Cândido de Souza, Universidade Federal de Lavras; VALERIA APARECIDA VIEIRA QUEIROZ, CNPMS; RODRIGO VERAS DA COSTA, CNPMS; Maria Beatriz Pereira da Silva, Universidade Federal de Lavras; Carlos Alexandre Gomes Ribeiro, Universidade Federal de Viçosa; CLAUDIA TEIXEIRA GUIMARAES, CNPMS; Salvador Alejandro Gezan, Universidade da Florida; LAURO JOSE MOREIRA GUIMARAES, CNPMS. |
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Título: |
A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Euphytica, Dordrecht, v. 211, n. 3, p. 277-285, 2016 |
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DOI: |
10.1007/s10681-016-1722-2 |
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Idioma: |
Inglês |
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Conteúdo: |
In maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance?covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, where as the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average performance across the evaluated environments. Due to the importance of SCA effects and their complex interaction with environments, the selection of superior hybrids should be performed into specific environments. MenosIn maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance?covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, where as the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average perfor... Mostrar Tudo |
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Palavras-Chave: |
Fumonisina. |
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Thesagro: |
Contaminação; Híbrido; Milho. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02628naa a2200301 a 4500
001 2057816
005 2016-12-02
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1007/s10681-016-1722-2$2DOI
100 1 $aPADUA, J. M. V.
245 $aA multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize.$h[electronic resource]
260 $c2016
520 $aIn maize, the fungi that cause Fusarium ear rot result not only in decreased grain yield and quality, but also grain contamination by fumonisin. This study investigated the inheritance of fumonisin contamination resistance (FCR) in tropical maize, based on a multi-environment trials diallel analysis via mixed models. For this purpose, based on 13 inbred lines, single-cross hybrids were created and assessed in three environments. A mixed model diallel joint analysis across environments was performed, considering the existence of environment-specific variances and correlations between pairs of environments for general combining ability (GCA) and specific combining ability (SCA) effects, and additive genomic relationship between inbred lines for the prediction of GCA and SCA. For all environments, the SCA variance had a higher magnitude than the GCA variance, indicating a predominance of the dominance effects underlying FCR in tropical maize. Moreover, the proportion of the variance among single-cross hybrids that was due to GCA varied from 16 to 22 % across environments, suggesting that SCA is important to predict the hybrids performance. Through modeling variance?covariance structures for GCA and SCA, it was possible to observe that the GCA effects were stable, where as the SCA effects were specific for each environment. Therefore, these results suggest that the selection of the best parents for the development of new inbred lines can be carried out through the average performance across the evaluated environments. Due to the importance of SCA effects and their complex interaction with environments, the selection of superior hybrids should be performed into specific environments.
650 $aContaminação
650 $aHíbrido
650 $aMilho
653 $aFumonisina
700 1 $aDIAS, K. O. das G.
700 1 $aPASTINA, M. M.
700 1 $aSOUZA, J. C. de
700 1 $aQUEIROZ, V. A. V.
700 1 $aCOSTA, R. V. da
700 1 $aSILVA, M. B. P. da
700 1 $aRIBEIRO, C. A. G.
700 1 $aGUIMARAES, C. T.
700 1 $aGEZAN, S. A.
700 1 $aGUIMARAES, L. J. M.
773 $tEuphytica, Dordrecht$gv. 211, n. 3, p. 277-285, 2016
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Embrapa Milho e Sorgo (CNPMS) |
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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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