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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
26/05/2021 |
Data da última atualização: |
29/03/2023 |
Autoria: |
PHILLIPS, H. R. P.; BACH, E. M.; BARTZ, M. L. C.; BENNETT, J. M.; BEUGNON, R.; BRIONES, M. J. I.; BROWN, G. G.; FERLIAN, O.; GONGALSKY, K. B.; GUERRA, C. A.; KÖNIG-RIES, B.; KREBS, J. J.; ORGIAZZI, A.; RAMIREZ, K. S.; RUSSELL, D. J.; SCHWARZ, B.; WALL, D. H.; BROSE, U.; DECAËNS, T.; LAVELLE, P.; LOREAU, M.; MATHIEU, J.; MULDER, C.; VAN DER PUTTEN, W. H.; RILLIG, M. C.; THAKUR, M. P.; VRIES, F. T. de; WARDLE, D. A.; AMMER, C.; AMMER, S.; ARAI, M.; AYUKE, F. O.; BAKER, G. H.; BARETTA, D.; BARKUSKY, D.; BEAUSÉJOUR, R.; BEDANO, J. C.; BIRKHOFER, K.; BLANCHART, E.; BLOSSEY, B.; BOLGER, T.; BRADLEY, R. L.; BROSSARD, M.; BURTIS, J. C.; CAPOWIEZ, Y.; CAVAGNARO, T. R.; CHOI, A.; CLAUSE, J.; CLUZEAU, D.; COORS, A.; CROTTY, F. V.; CRUMSEY, J. M.; DÁVALOS, A.; COSÍN; DOBSON, A. M.; DOMÍNGUEZ, A.; DUHOUR, A. E.; VAN EEKEREN, N.; EMMERLING, C.; FALCO, L. B.; FERNÁNDEZ, R.; FONTE, S. J.; FRAGOSO, C.; FRANCO, A. L. C.; FUSILERO, A.; GERASKINA, A. P.; GHOLAMI, S.; GONZÁLEZ, G.; GUNDALE, M. J.; LÓPEZ, M. G.; HACKENBERGER, B. K.; HACKENBERGER, D. K.; HERNÁNDEZ, L. M.; HIRTH, J. R.; HISHI, T.; HOLDSWORTH, A. R.; HOLMSTRUP, M.; HOPFENSPERGER, K. N.; LWANGA, E. H.; HUHTA, V.; HURISSO, T. T.; IANNONE III, B. V.; IORDACHE, M.; IRMLER, U.; IVASK, M.; JESÚS, J. B.; JOHNSON-MAYNARD, J. L.; JOSCHKO, M.; KANEKO, N.; KANIANSKA, R.; KEITH, A. M.; KERNECKER, M. L.; KONÉ, A. W.; KOOCH, Y.; KUKKONEN, S. T.; LALTHANZARA, H.; LAMMEL, D. R.; LEBEDEV, I. M.; LE CADRE. E.; LINCOLN, N. K.; LÓPEZ-HERNÁNDEZ, D.; LOSS, S. R.; MARICHAL, R.; MATULA, R.; MINAMIYA, Y.; MOOS, J. H.; MORENO, G.; MORÓN-RÍOS, A.; MOTOHIRO, H.; MUYS, B.; NEIRYNCK, J.; NORGROVE, L.; NOVO, M.; NUUTINEN, V.; NUZZO, V.; RAHMAN, P. M.; PANSU, J.; PAUDEL, S.; PÉRÈS, G.; PÉREZ CAMACHO, L.; PONGE, J.-F.; PRIETZEL, J.; RAPOPORT, I. B.; RASHID, M. I.; REBOLLO, S.; RODRÍGUEZ, M. A.; ROTH, A. M.; ROUSSEAU, G. X.; ROZEN, A.; SAYAD, E.; VAN SCHAIK, L.; SCHARENBROCH, B.; SCHIRRMANN, M.; SCHMIDT, O.; SCHRÖDER, B.; SEEBER, J.; SHASHKOV, M. P.; SINGH, J.; SMITH, S. M.; STEINWANDTER, M.; SZLAVECZ, K.; TALAVERA, J. A.; TRIGO, D.; TSUKAMOTO, J.; URIBE-LÓPEZ, S.; VALENÇA, A. W. de; VIRTO, I.; WACKETT, A. A.; WARREN, M. W.; WEBSTER, E. R.; WEHR, N. H.; WHALEN, J. K.; WIRONEN, M. B.; WOLTERS, V.; WU, P.; ZENKOVA, I. V.; ZHANG, W.; CAMERON, E. K.; EISENHAUER, N. |
Afiliação: |
HELEN R. P. PHILLIPS, German Centre for Integrative Biodiversity Research; Leipzig University; Saint Marys University; ELIZABETH M. BACH, Colorado State University; MARIE L. C. BARTZ, Universidade Positivo; University of Coimbra; JOANNE M. BENNETT, German Centre for Integrative Biodiversity Research; Martin Luther University Halle-Wittenberg; University of Canberra; RÉMY BEUGNON, German Centre for Integrative Biodiversity Research; Leipzig University; MARIA J. I. BRIONES, Universidad de Vigo; GEORGE GARDNER BROWN, CNPF; OLGA FERLIAN, German Centre for Integrative Biodiversity Research; Leipzig University; KONSTANTIN B. GONGALSKY, Russian Academy of Sciences; Lomonosov Moscow State University; CARLOS A. GUERRA, German Centre for Integrative Biodiversity Research; Martin Luther University Halle-Wittenberg; BIRGITTA KÖNIG-RIES, German Centre for Integrative Biodiversity Research; Friedrich Schiller University; JULIA J. KREBS, German Centre for Integrative Biodiversity Research; Leipzig University; ALBERTO ORGIAZZI, European Commission, Joint Research Centre; KELLY S. RAMIREZ, Netherlands Institute of Ecology; DAVID J. RUSSELL, Senckenberg Museum for Natural History Görlitz; BENJAMIN SCHWARZ, University of Freiburg; DIANA H. WALL, Colorado State University; ULRICH BROSE, German Centre for Integrative Biodiversity Research; Friedrich Schiller University Jena; THIBAUD DECAËNS, Univ Paul Valéry Montpellier; PATRICK LAVELLE, Institut d’Ecologie et des Sciences de l’Environnement; MICHEL LOREAU, Theoretical and Experimental Ecology Station; JÉRÔME MATHIEU, Institute of Ecology and Environmental Sciences of Paris; Institut d’Ecologie et des Sciences de l’Environnement de Paris; CHRISTIAN MULDER, University of Catania; WIM H. VAN DER PUTTEN, Netherlands Institute of Ecology; Wageningen University; MATTHIAS C. RILLIG, Freie Universität Berlin; MADHAV P. THAKUR, Netherlands Institute of Ecology; FRANCISKA T. DE VRIES, University of Amsterdam; DAVID A. WARDLE, Nanyang Technological University; CHRISTIAN AMMER, University of Göttingen; SABINE AMMER, University of Göttingen; MIWA ARAI, National Agriculture and Food Research Organization; FREDRICK O. AYUKE, University of Nairobi; Rwanda Institute for Conservation Agriculture; GEOFF H. BAKER, Health & Biosecurity; DILMAR BARETTA, Santa Catarina State University; DIETMAR BARKUSKY, Leibniz Centre for Agricultural Landscape Research; ROBIN BEAUSÉJOUR, Université de Sherbrooke; JOSE C. BEDANO, National University of Rio Cuarto; KLAUS BIRKHOFER, Brandenburg University of Technology; ERIC BLANCHART, Institut Agro; BERND BLOSSEY, Cornell University; THOMAS BOLGER, University College Dublin; ROBERT L. BRADLEY, Université de Sherbrooke; MICHEL BROSSARD, Institut Agro; JAMES C. BURTIS, Cornell University; YVAN CAPOWIEZ, Site Agroparc; TIMOTHY R. CAVAGNARO, The University of Adelaide; AMY CHOI, University of Toronto; JULIA CLAUSE, Université de Poitiers; DANIEL CLUZEAU, Université de Rennes; ANJA COORS, ECT Oekotoxikologie GmbH; FELICITY V. CROTTY, Aberystwyth Universtiy; Royal Agricultural University; JASMINE M. CRUMSEY, University of Georgia; ANDREA DÁVALOS, SUNY Cortland; DARÍO J. DÍAZ COSÍN, University Complutense of Madrid; ANNISE M. DOBSON, Yale University; ANAHÍ DOMÍNGUEZ, National University of Rio Cuarto; ANDRÉS ESTEBAN DUHOUR, Universidad Nacional de Luján; NICK VAN EEKEREN, Louis Bolk Institute; CHRISTOPH EMMERLING, University of Trier; LILIANA B. FALCO, Universidad Nacional de Luján; ROSA FERNÁNDEZ, Institute of Evolutionary Biology; STEVEN J. FONTE, Colorado State University; CARLOS FRAGOSO, Institute of Ecology A.C.; ANDRÉ L. C. FRANCO, Colorado State University; ABEGAIL FUSILERO, University of the Philippines Mindanao; Ghent University; ANNA P. GERASKINA, Center for Forest Ecology and Productivity RAS; SHAIESTE GHOLAMI, Razi University; GRIZELLE GONZÁLEZ, International Institute of Tropical Forestry; MICHAEL J. GUNDALE, Swedish University of Agricultural Sciences; MÓNICA GUTIÉRREZ LÓPEZ, University Complutense of Madrid; BRANIMIR K. HACKENBERGER, University of Osijek; DAVORKA K. HACKENBERGER, University of Osijek; LUIS M. HERNÁNDEZ, Maranhão State University; JEFF R. HIRTH, Department of Jobs, Precincts and Regions, Agriculture Victoria; TAKUO HISHI, Kyushu University; ANDREW R. HOLDSWORTH, Minnesota Pollution Control Agency; MARTIN HOLMSTRUP, Aarhus University; KRISTINE N. HOPFENSPERGER, Northern Kentucky University; ESPERANZA HUERTA LWANGA, El Colegio de la Frontera Sur; Wageningen University & Research; VEIKKO HUHTA, University of Jyväskylä; TUNSISA T. HURISSO, Colorado State University; Lincoln University of Missouri; BASIL V. IANNONE III, University of Florida; MADALINA IORDACHE, University of Agricultural Sciences and Veterinary Medicine of Banat “King Michael the 1st of Romania”; ULRICH IRMLER, University of Kiel; MARI IVASK, Tallinn University of Technology; JUAN B. JESÚS, University Complutense of Madrid; JODI L. JOHNSON-MAYNARD, University of Idaho; MONIKA JOSCHKO, Leibniz Centre for Agricultural Landscape Research; NOBUHIRO KANEKO, Fukushima University; RADOSLAVA KANIANSKA, Matej Bel University; AIDAN M. KEITH, Leibniz Centre for Agricultural Landscape Research; MARIA L. KERNECKER, Leibniz Centre for Agricultural Landscape Research; ARMAND W. KONÉ, Université Nangui Abrogoua; YAHYA KOOCH, Tarbiat Modares University; SANNA T. KUKKONEN, Natural Resources Institute Finland; H. LALTHANZARA, Pachhunga University College; DANIEL R. LAMMEL, Freie Universität Berlin; IURII M. LEBEDEV, Russian Academy of Sciences; M.V. Lomonosov Moscow State University; Skolkovo Institute of Science and Technology; EDITH LE CADRE, Institut Agro; NOA K. LINCOLN, University of Hawai’i at Manoa; DANILO LÓPEZ-HERNÁNDEZ, Universidad Central de Venezuela; SCOTT R. LOSS, Oklahoma State University; RAPHAEL MARICHAL, Univ Montpellier; RADIM MATULA, Czech University of Life Sciences Prague; YUKIO MINAMIYA, Tochigi Prefectural Museum; JAN HENDRIK MOOS, Thuenen-Institute of Biodiversity; Thuenen-Institute of Organic Farming; GERARDO MORENO, University of Extremadura; ALEJANDRO MORÓN-RÍOS, El Colegio de la Frontera Sur; HASEGAWA MOTOHIRO, Doshisha University; BART MUYS, Department of Earth & Environmental Sciences, Division of Forest, Nature and Landscape; JOHAN NEIRYNCK, Research Institute for Nature and Forest; LINDSEY NORGROVE, Bern University of Applied Sciences; MARTA NOVO, University Complutense of Madrid; VISA NUUTINEN, Natural Resources Institute Finland; VICTORIA NUZZO, Natural Area Consultants; P. MUJEEB RAHMAN, PSMO College; JOHAN PANSU, CSIRO Ocean and Atmosphere; Sorbonne Université; SHISHIR PAUDEL, Oklahoma State University; Phipps Conservatory and Botanical Gardens; GUÉNOLA PÉRÈS, CNRS-Université de Rennes; Institut Agro; LORENZO PÉREZ CAMACHO, University of Alcalá; JEAN-FRANÇOIS PONGE, Muséum National d’Histoire Naturelle; JÖRG PRIETZEL, Technical University of Munich; IRINA B. RAPOPORT, Russian Academy of Sciences; MUHAMMAD IMTIAZ RASHID, King Abdulaziz University; SALVADOR REBOLLO, University of Alcalá; MIGUEL Á. RODRÍGUEZ, University of Alcalá; ALEXANDER M. ROTH, University of Minnesot; Friends of the Mississippi River; GUILLAUME X. ROUSSEAU, Maranhão State University; Federal University of Maranhão; ANNA ROZEN, University of Wisconsin; EHSAN SAYAD, Razi University; LOES VAN SCHAIK, Wageningen University & Research; BRYANT SCHARENBROCH, University of Wisconsin; The Morton Arboretum; MICHAEL SCHIRRMANN, Leibniz Institute for Agricultural Engineering and Bioeconomy; OLAF SCHMIDT, University College Dublin; Agriculture and Food Science Centre; BORIS SCHRÖDER, Technische Universität Braunschweig; JULIA SEEBER, University of Innsbruck; Institute for Alpine Environment; MAXIM P. SHASHKOV, Russian Academy of Sciences; JASWINDER SINGH, Khalsa College Amritsar; SANDY M. SMITH, University of Toronto; MICHAEL STEINWANDTER, Institute for Alpine Environment; KATALIN SZLAVECZ, Johns Hopkins University; JOSÉ ANTONIO TALAVERA, University of La Laguna; DOLORES TRIGO, University Complutense of Madrid; JIRO TSUKAMOTO, Kochi University; SHEILA URIBE-LÓPEZ, Juárez Autonomous University of Tabasco; ANNE W. DE VALENÇA, Unit Food & Agriculture, WWF-Netherlands; IÑIGO VIRTO, Universidad Pública de Navarra; ADRIAN A. WACKETT, University of Minnesota; MATTHEW W. WARREN, Earth Innovation Institute; EMILY R. WEBSTER, University of California; NATHANIEL H. WEHR, University of Hawaii; JOANN K. WHALEN, Natural Resource Sciences, McGill University; MICHAEL B. WIRONEN, The Nature Conservancy; VOLKMAR WOLTERS, Animal Ecology, Justus Liebig University; PENGFEI WU, Southwest Minzu University; IRINA V. ZENKOVA, Institute of North Industrial Ecology Problems; WEIXIN ZHANG, Henan University; ERIN K. CAMERON, Saint Mary’s University; University of Helsinki; NICO EISENHAUER, German Centre for Integrative Biodiversity Research; Leipzig University. |
Título: |
Global data on earthworm abundance, biomass, diversity and corresponding environmental properties. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Scientific Data, v. 8, n. 136, 2021. |
Páginas: |
12 p. |
DOI: |
https://doi.org/10.1038/s41597-021-00912-z |
Idioma: |
Português |
Palavras-Chave: |
Serviço ambiental. |
Thesagro: |
Biodiversidade; Biologia do Solo; Distribuição Geográfica; Ecossistema; Minhoca; Solo. |
Thesaurus Nal: |
Biodiversity; Earthworms; Ecosystem engineers; Ecosystem services; Soil; Spatial distribution. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223487/1/Phillips-Brown-et-al-2021-Scientific-Data.pdf
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Marc: |
LEADER 05540naa a2202185 a 4500 001 2132048 005 2023-03-29 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41597-021-00912-z$2DOI 100 1 $aPHILLIPS, H. R. P. 245 $aGlobal data on earthworm abundance, biomass, diversity and corresponding environmental properties.$h[electronic resource] 260 $c2021 300 $a12 p. 650 $aBiodiversity 650 $aEarthworms 650 $aEcosystem engineers 650 $aEcosystem services 650 $aSoil 650 $aSpatial distribution 650 $aBiodiversidade 650 $aBiologia do Solo 650 $aDistribuição Geográfica 650 $aEcossistema 650 $aMinhoca 650 $aSolo 653 $aServiço ambiental 700 1 $aBACH, E. M. 700 1 $aBARTZ, M. L. C. 700 1 $aBENNETT, J. M. 700 1 $aBEUGNON, R. 700 1 $aBRIONES, M. J. I. 700 1 $aBROWN, G. G. 700 1 $aFERLIAN, O. 700 1 $aGONGALSKY, K. B. 700 1 $aGUERRA, C. A. 700 1 $aKÖNIG-RIES, B. 700 1 $aKREBS, J. J. 700 1 $aORGIAZZI, A. 700 1 $aRAMIREZ, K. S. 700 1 $aRUSSELL, D. J. 700 1 $aSCHWARZ, B. 700 1 $aWALL, D. H. 700 1 $aBROSE, U. 700 1 $aDECAËNS, T. 700 1 $aLAVELLE, P. 700 1 $aLOREAU, M. 700 1 $aMATHIEU, J. 700 1 $aMULDER, C. 700 1 $aVAN DER PUTTEN, W. H. 700 1 $aRILLIG, M. C. 700 1 $aTHAKUR, M. P. 700 1 $aVRIES, F. T. de 700 1 $aWARDLE, D. A. 700 1 $aAMMER, C. 700 1 $aAMMER, S. 700 1 $aARAI, M. 700 1 $aAYUKE, F. O. 700 1 $aBAKER, G. H. 700 1 $aBARETTA, D. 700 1 $aBARKUSKY, D. 700 1 $aBEAUSÉJOUR, R. 700 1 $aBEDANO, J. C. 700 1 $aBIRKHOFER, K. 700 1 $aBLANCHART, E. 700 1 $aBLOSSEY, B. 700 1 $aBOLGER, T. 700 1 $aBRADLEY, R. L. 700 1 $aBROSSARD, M. 700 1 $aBURTIS, J. C. 700 1 $aCAPOWIEZ, Y. 700 1 $aCAVAGNARO, T. R. 700 1 $aCHOI, A. 700 1 $aCLAUSE, J. 700 1 $aCLUZEAU, D. 700 1 $aCOORS, A. 700 1 $aCROTTY, F. V. 700 1 $aCRUMSEY, J. M. 700 1 $aDÁVALOS, A. 700 1 $aCOSÍN 700 1 $aDOBSON, A. M. 700 1 $aDOMÍNGUEZ, A. 700 1 $aDUHOUR, A. E. 700 1 $aVAN EEKEREN, N. 700 1 $aEMMERLING, C. 700 1 $aFALCO, L. B. 700 1 $aFERNÁNDEZ, R. 700 1 $aFONTE, S. J. 700 1 $aFRAGOSO, C. 700 1 $aFRANCO, A. L. C. 700 1 $aFUSILERO, A. 700 1 $aGERASKINA, A. P. 700 1 $aGHOLAMI, S. 700 1 $aGONZÁLEZ, G. 700 1 $aGUNDALE, M. J. 700 1 $aLÓPEZ, M. G. 700 1 $aHACKENBERGER, B. K. 700 1 $aHACKENBERGER, D. K. 700 1 $aHERNÁNDEZ, L. M. 700 1 $aHIRTH, J. R. 700 1 $aHISHI, T. 700 1 $aHOLDSWORTH, A. R. 700 1 $aHOLMSTRUP, M. 700 1 $aHOPFENSPERGER, K. N. 700 1 $aLWANGA, E. H. 700 1 $aHUHTA, V. 700 1 $aHURISSO, T. T. 700 1 $aIANNONE III, B. V. 700 1 $aIORDACHE, M. 700 1 $aIRMLER, U. 700 1 $aIVASK, M. 700 1 $aJESÚS, J. B. 700 1 $aJOHNSON-MAYNARD, J. L. 700 1 $aJOSCHKO, M. 700 1 $aKANEKO, N. 700 1 $aKANIANSKA, R. 700 1 $aKEITH, A. M. 700 1 $aKERNECKER, M. L. 700 1 $aKONÉ, A. W. 700 1 $aKOOCH, Y. 700 1 $aKUKKONEN, S. T. 700 1 $aLALTHANZARA, H. 700 1 $aLAMMEL, D. R. 700 1 $aLEBEDEV, I. M. 700 1 $aLE CADRE. E. 700 1 $aLINCOLN, N. K. 700 1 $aLÓPEZ-HERNÁNDEZ, D. 700 1 $aLOSS, S. R. 700 1 $aMARICHAL, R. 700 1 $aMATULA, R. 700 1 $aMINAMIYA, Y. 700 1 $aMOOS, J. H. 700 1 $aMORENO, G. 700 1 $aMORÓN-RÍOS, A. 700 1 $aMOTOHIRO, H. 700 1 $aMUYS, B. 700 1 $aNEIRYNCK, J. 700 1 $aNORGROVE, L. 700 1 $aNOVO, M. 700 1 $aNUUTINEN, V. 700 1 $aNUZZO, V. 700 1 $aRAHMAN, P. M. 700 1 $aPANSU, J. 700 1 $aPAUDEL, S. 700 1 $aPÉRÈS, G. 700 1 $aPÉREZ CAMACHO, L. 700 1 $aPONGE, J.-F. 700 1 $aPRIETZEL, J. 700 1 $aRAPOPORT, I. B. 700 1 $aRASHID, M. I. 700 1 $aREBOLLO, S. 700 1 $aRODRÍGUEZ, M. A. 700 1 $aROTH, A. M. 700 1 $aROUSSEAU, G. X. 700 1 $aROZEN, A. 700 1 $aSAYAD, E. 700 1 $aVAN SCHAIK, L. 700 1 $aSCHARENBROCH, B. 700 1 $aSCHIRRMANN, M. 700 1 $aSCHMIDT, O. 700 1 $aSCHRÖDER, B. 700 1 $aSEEBER, J. 700 1 $aSHASHKOV, M. P. 700 1 $aSINGH, J. 700 1 $aSMITH, S. M. 700 1 $aSTEINWANDTER, M. 700 1 $aSZLAVECZ, K. 700 1 $aTALAVERA, J. A. 700 1 $aTRIGO, D. 700 1 $aTSUKAMOTO, J. 700 1 $aURIBE-LÓPEZ, S. 700 1 $aVALENÇA, A. W. de 700 1 $aVIRTO, I. 700 1 $aWACKETT, A. A. 700 1 $aWARREN, M. W. 700 1 $aWEBSTER, E. R. 700 1 $aWEHR, N. H. 700 1 $aWHALEN, J. K. 700 1 $aWIRONEN, M. B. 700 1 $aWOLTERS, V. 700 1 $aWU, P. 700 1 $aZENKOVA, I. V. 700 1 $aZHANG, W. 700 1 $aCAMERON, E. K. 700 1 $aEISENHAUER, N. 773 $tScientific Data$gv. 8, n. 136, 2021.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Amazônia Oriental; Embrapa Café; Embrapa Unidades Centrais. |
Data corrente: |
25/02/2021 |
Data da última atualização: |
01/03/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
ALVES, R. M.; CHAVES, S. F. da S.; ALVES, R. S.; SANTOS, T. G. dos; ARAÚJO, D. G. de; RESENDE, M. D. V. de. |
Afiliação: |
RAFAEL MOYSES ALVES, CPATU; SAULO FABRÍCIO da SILVA CHAVES, Universidade Federal de Viçosa, Campus Universitário, Viçosa, MG; RODRIGO SILVA ALVES, Instituto Nacional de Ciência e Tecnologia do Café (INCT Café), Universidade Federal de Viçosa, Campus Universitário, Viçosa, MG; THALITA GOMES dos SANTOS, Universidade Federal do Ceará; DÊNMORA GOMES de ARAÚJO, Universidade Federal Rural da Amazônia; MARCOS DEON VILELA DE RESENDE, CNPCa. |
Título: |
Cupuaçu tree genotype selection for an agroforestry system environment in the Amazon. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 56, e02139, 2021. |
DOI: |
https://doi.org/10.1590/S1678-3921. pab2021.v56.02139 |
Idioma: |
Inglês |
Notas: |
Título em português: Seleção de genótipos de cupuaçu para um ambiente de sistema agroflorestal na Amazônia. |
Conteúdo: |
ABSTRACT - The objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches? broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment.
RESUMO - O objetivo deste trabalho foi selecionar progênies e indivíduos de cupuaçuzeiro (Theobroma grandiflorum) com base em características agronômicas e, indiretamente, identificar aqueles adaptados a um ambiente de sistema agroflorestal (SAF) na Amazônia brasileira. Para tanto, 25 progênies de irmãos completos foram plantadas e testadas em consórcio com pimenta-do-reino (Piper nigrum), banana (Musa spp.) e bacuri (Platonia insignis). O experimento foi realizado em delineamento de blocos ao acaso, com cinco repetições e três plantas por parcela, de 2005 a 2019. Para as análises estatísticas, foram utilizadas as médias fenotípicas de produção e incidência da vassoura de bruxa avaliadas durante 11 safras. Progênies e indivíduos superiores foram identificados pela metodologia de modelos mistos (REML/BLUP), o que resultou na seleção de dez plantas de cinco famílias com características agronômicas superiores. As progênies de cupuaçu 6, 36, 37, 49 e 52 são as que melhor se adaptam ao ambiente de um SAF multiespécies na região amazônica, em razão de suas características agronômicas em condições competitivas. Dez matrizes apresentam potencial agronômico e adaptação indireta ao SAF e podem ser utilizadas como cultivares clonais de cupuaçu nesse ambiente. MenosABSTRACT - The objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches? broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment.
RESUMO - O objetivo deste trabalho foi selecionar progênies e indivíduos de cupuaçuzeiro (Theobroma grandiflorum) com base em características agronômicas e, indiretamente, identificar aqueles adaptados a um ambiente de sistema agroflorestal (SAF) na A... Mostrar Tudo |
Thesagro: |
Bacuri; Banana; Consorciação de Cultura; Cupuaçu; Melhoramento Vegetal; Musa sp; Pimenta do Reino; Piper Nigrum; Platonia Insignis; Seleção Genética; Theobroma Grandiflorum. |
Thesaurus NAL: |
Agroforestry; Cultivars; Progeny; Theobroma. |
Categoria do assunto: |
-- G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221500/1/Cupuacu-tree-genotype-2021.pdf
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Marc: |
LEADER 03773naa a2200385 a 4500 001 2130374 005 2021-03-01 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/S1678-3921. pab2021.v56.02139$2DOI 100 1 $aALVES, R. M. 245 $aCupuaçu tree genotype selection for an agroforestry system environment in the Amazon.$h[electronic resource] 260 $c2021 500 $aTítulo em português: Seleção de genótipos de cupuaçu para um ambiente de sistema agroflorestal na Amazônia. 520 $aABSTRACT - The objective of this work was to select cupuaçu (Theobroma grandiflorum) tree progenies and individuals based on their agronomic traits, and, indirectly, to identify those adapted to an agroforestry system (AFS) environment in the Brazilian Amazon. For this purpose, 25 full-sib progenies were planted and tested in consortium with black pepper (Piper nigrum), banana (Musa spp.), and bacuri (Platonia insignis) trees. The experiment was carried out in a randomized complete block design, with five replicates and three plants per plot, from 2005 to 2019. For the statistical analyses, the phenotypic averages for production and incidence of witches? broom disease, evaluated during 11 harvests, were used. Superior progenies and individuals were identified using the mixed model methodology (REML/BLUP), which led to the selection of ten plants from five families with superior agronomic traits. Cupuaçu tree progenies 6, 36, 37, 49, and 52 are the ones that best adapt to the environment of a multispecies AFS in the Amazon region because of their agronomic traits under competitive conditions. Ten matrices show agronomic potential and indirect adaptation to the AFS and can be used as clonal cupuaçu cultivars in this environment. RESUMO - O objetivo deste trabalho foi selecionar progênies e indivíduos de cupuaçuzeiro (Theobroma grandiflorum) com base em características agronômicas e, indiretamente, identificar aqueles adaptados a um ambiente de sistema agroflorestal (SAF) na Amazônia brasileira. Para tanto, 25 progênies de irmãos completos foram plantadas e testadas em consórcio com pimenta-do-reino (Piper nigrum), banana (Musa spp.) e bacuri (Platonia insignis). O experimento foi realizado em delineamento de blocos ao acaso, com cinco repetições e três plantas por parcela, de 2005 a 2019. Para as análises estatísticas, foram utilizadas as médias fenotípicas de produção e incidência da vassoura de bruxa avaliadas durante 11 safras. Progênies e indivíduos superiores foram identificados pela metodologia de modelos mistos (REML/BLUP), o que resultou na seleção de dez plantas de cinco famílias com características agronômicas superiores. As progênies de cupuaçu 6, 36, 37, 49 e 52 são as que melhor se adaptam ao ambiente de um SAF multiespécies na região amazônica, em razão de suas características agronômicas em condições competitivas. Dez matrizes apresentam potencial agronômico e adaptação indireta ao SAF e podem ser utilizadas como cultivares clonais de cupuaçu nesse ambiente. 650 $aAgroforestry 650 $aCultivars 650 $aProgeny 650 $aTheobroma 650 $aBacuri 650 $aBanana 650 $aConsorciação de Cultura 650 $aCupuaçu 650 $aMelhoramento Vegetal 650 $aMusa sp 650 $aPimenta do Reino 650 $aPiper Nigrum 650 $aPlatonia Insignis 650 $aSeleção Genética 650 $aTheobroma Grandiflorum 700 1 $aCHAVES, S. F. da S. 700 1 $aALVES, R. S. 700 1 $aSANTOS, T. G. dos 700 1 $aARAÚJO, D. G. de 700 1 $aRESENDE, M. D. V. de 773 $tPesquisa Agropecuária Brasileira$gv. 56, e02139, 2021.
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Embrapa Amazônia Oriental (CPATU) |
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