| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Florestas; Embrapa Solos. |
|
Data corrente: |
20/06/2022 |
|
Data da última atualização: |
10/11/2022 |
|
Tipo da produção científica: |
Nota Técnica/Nota Científica |
|
Autoria: |
LOMBARDO, U.; ARROYO-KALIN, M.; SCHMIDT, M.; HUISMAN, H.; LIMA, H. P.; MORAES, M. de P.; NEVES, E. G.; CLEMENT, C. R.; FONSECA, J. A. da; ALMEIDA, F. O. de; ALHO, C. F. B. V.; RAMSEY, C. B.; BROWN, G. G.; CAVALLINI, M. S.; COSTA, M. L. da; CUNHA, L.; ANJOS, L. H. C. dos; DENEVAN, W. M.; FAUSTO, C.; CAROMANO, C. F.; FONTANA, A.; FRANCHETTO, B.; GLASER, B.; HECKENBERGER, M. J.; HECHT, S.; HONORATO, V.; JAROSCH, K. A.; JUNQUEIRA, A. B.; KATER, T.; TAMANAHA, E. K.; KUYPER, T. W.; LEHMANN, J.; MADELLA, M.; MAEZUMI, S. Y.; CASCON, L. M.; MAYLE, F. E.; MCKEY, D.; MORAES, B.; MORCOTE-RÍOS, G.; BARBOSA, C. A. P.; MAGALHÃES, M. P.; PRESTES-CARNEIRO, G.; PUGLIESE, F.; PUPIM, F. N.; RACZKA, M. F.; PY-DANIEL, A. R.; ROCHA, B. C. da; RODRIGUES, L.; ROSTAIN, S.; MACEDO, R. S.; SHOCK, M. P.; SPRAFKE, T.; BASSI, F. S.; VALLE, R.; VIDAL-TORRADO, P.; VILLAGRÁN, X. S.; WATLING, J.; WEBER, S. L.; TEIXEIRA, W. G. |
|
Afiliação: |
UMBERTO LOMBARDO, Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona (ICTA-UAB); MANUEL ARROYO-KALIN, Institute of Archaeology; MORGAN SCHMIDT, Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology; HANS HUISMAN, University of Groningen; HELENA P. LIMA, Museu Paraense Emílio Goeldi; CLAIDE DE PAULA MORAES, Universidade Federal do Oeste do Pará; EDUARDO G. NEVES, University of São Paulo; CHARLES R. CLEMENT, Instituto Nacional de Pesquisas da Amazônia; JOÃO AIRES DA FONSECA, ArqueoMaquina; FERNANDO OZORIO DE ALMEIDA, Universidade do Estado do Rio de Janeiro; CARLOS FRANCISCO BRAZÃO VIEIRA ALHO, Wageningen University & Research; CHRISTOPHER BRONK RAMSEY, University of Oxford; GEORGE GARDNER BROWN, CNPF; MARTA S. CAVALLINI, University of São Paulo; MARCONDES LIMA DA COSTA, Federal University of Pará; LUÍS CUNHA, Universidade de Coimbra; LÚCIA HELENA C. DOS ANJOS, Federal Rural University of Rio de Janeiro; WILLIAM M. DENEVAN, University of Wisconsin-Madison; CARLOS FAUSTO, Universidade Federal do Rio de Janeiro; CAROLINE FERNANDES CAROMANO, Naturalis Biodiversity Center; ADEMIR FONTANA, CNPS; BRUNA FRANCHETTO, Universidade Federal do Rio de Janeiro; BRUNO GLASER, Martin-Luther-Universität Halle-Wittenberg; MICHAEL J. HECKENBERGER, University of Florida; SUSANNA HECHT, School of Public Affairs, UCLA; VINICIUS HONORATO, Universidade Federal do Oeste do Pará; KLAUS A. JAROSCH, University of Bern; ANDRÉ BRAGA JUNQUEIRA, Universitat Autònoma de Barcelona (ICTA-UAB); THIAGO KATER, University of São Paulo; EDUARDO K. TAMANAHA, Instituto de Desenvolvimento Sustentável Mamirauá; THOMAS W. KUYPER, Wageningen University & Research, Wageningen; JOHANNES LEHMANN, Cornell University; MARCO MADELLA, Institució Catalana de Recerca i Estudis Avançats (ICREA); S. YOSHI MAEZUMI, University of Amsterdam; LEANDRO MATTHEWS CASCON, Leiden University; FRANCIS E. MAYLE, University of Reading; DOYLE MCKEY, Univ Paul-Valéry Montpellier; BRUNO MORAES, Amazon Hopes Collective; GASPAR MORCOTE-RÍOS, Universidad Nacional de Colombia; CARLOS A. PALHETA BARBOSA, Institute of National Historic and Artistic Heritage; MARCOS PEREIRA MAGALHÃES, Museu Paraense Emílio Goeldi; GABRIELA PRESTES-CARNEIRO, Universidade Federal do Oeste do Pará; FRANCISCO PUGLIESE, University of São Paulo; FABIANO N. PUPIM, Universidade Federal de São Paulo; MARCO F. RACZKA, University of Reading; ANNE RAPP PY-DANIEL, Universidade Federal do Oeste do Pará; BRUNA CIGARAN DA ROCHA, Universidade Federal do Oeste do Pará; LEONOR RODRIGUES, Agroscope; STÉPHEN ROSTAIN, French National Centre for Scientific Research; RODRIGO SANTANA MACEDO, Instituto Nacional do Semiárido; MYRTLE P. SHOCK, Universidade Federal do Oeste do Pará; TOBIAS SPRAFKE, Center of Competence for Soils; FILIPPO STAMPANONI BASSI, Museu da Amazônia; RAONI VALLE, Universidade Federal do Oeste do Pará; PABLO VIDAL-TORRADO, University of São Paulo; XIMENA S. VILLAGRÁN, University of São Paulo; JENNIFER WATLING, University of São Paulo; SADIE L. WEBER, University of São Paulo; WENCESLAU GERALDES TEIXEIRA, CNPS. |
|
Título: |
Evidence confirms an anthropic origin of Amazonian Dark Earths. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Nature Communications, v. 13, n. 3444, 2022. |
|
Páginas: |
6 p. |
|
DOI: |
https://doi.org/10.1038/s41467-022-31064-2 |
|
Idioma: |
Inglês
Português |
|
Conteúdo: |
First described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status.
Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary settlement6,7,8,9. To be accepted, and be pertinent at a regional level, Silva et al.’s hypothesis5 would need to be supported by solid evidence (from numerous ADE sites), which we demonstrate is lacking. MenosFirst described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status.
Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary ... Mostrar Tudo |
|
Palavras-Chave: |
Amazonian Dark Earths; Arqueologia; Ciencias ambientais; Environmental sciences. |
|
Thesagro: |
Microbiologia do Solo; Solo. |
|
Thesaurus Nal: |
Amazonia; Archaeology; Terra preta. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144138/1/NatureCommunications-2022-EvidenceConfirmAmazonDarkEarths.pdf
|
|
Marc: |
LEADER 04190naa a2200949 a 4500
001 2144138
005 2022-11-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1038/s41467-022-31064-2$2DOI
100 1 $aLOMBARDO, U.
245 $aEvidence confirms an anthropic origin of Amazonian Dark Earths.$h[electronic resource]
260 $c2022
300 $a6 p.
520 $aFirst described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status. Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary settlement6,7,8,9. To be accepted, and be pertinent at a regional level, Silva et al.’s hypothesis5 would need to be supported by solid evidence (from numerous ADE sites), which we demonstrate is lacking.
650 $aAmazonia
650 $aArchaeology
650 $aTerra preta
650 $aMicrobiologia do Solo
650 $aSolo
653 $aAmazonian Dark Earths
653 $aArqueologia
653 $aCiencias ambientais
653 $aEnvironmental sciences
700 1 $aARROYO-KALIN, M.
700 1 $aSCHMIDT, M.
700 1 $aHUISMAN, H.
700 1 $aLIMA, H. P.
700 1 $aMORAES, M. de P.
700 1 $aNEVES, E. G.
700 1 $aCLEMENT, C. R.
700 1 $aFONSECA, J. A. da
700 1 $aALMEIDA, F. O. de
700 1 $aALHO, C. F. B. V.
700 1 $aRAMSEY, C. B.
700 1 $aBROWN, G. G.
700 1 $aCAVALLINI, M. S.
700 1 $aCOSTA, M. L. da
700 1 $aCUNHA, L.
700 1 $aANJOS, L. H. C. dos
700 1 $aDENEVAN, W. M.
700 1 $aFAUSTO, C.
700 1 $aCAROMANO, C. F.
700 1 $aFONTANA, A.
700 1 $aFRANCHETTO, B.
700 1 $aGLASER, B.
700 1 $aHECKENBERGER, M. J.
700 1 $aHECHT, S.
700 1 $aHONORATO, V.
700 1 $aJAROSCH, K. A.
700 1 $aJUNQUEIRA, A. B.
700 1 $aKATER, T.
700 1 $aTAMANAHA, E. K.
700 1 $aKUYPER, T. W.
700 1 $aLEHMANN, J.
700 1 $aMADELLA, M.
700 1 $aMAEZUMI, S. Y.
700 1 $aCASCON, L. M.
700 1 $aMAYLE, F. E.
700 1 $aMCKEY, D.
700 1 $aMORAES, B.
700 1 $aMORCOTE-RÍOS, G.
700 1 $aBARBOSA, C. A. P.
700 1 $aMAGALHÃES, M. P.
700 1 $aPRESTES-CARNEIRO, G.
700 1 $aPUGLIESE, F.
700 1 $aPUPIM, F. N.
700 1 $aRACZKA, M. F.
700 1 $aPY-DANIEL, A. R.
700 1 $aROCHA, B. C. da
700 1 $aRODRIGUES, L.
700 1 $aROSTAIN, S.
700 1 $aMACEDO, R. S.
700 1 $aSHOCK, M. P.
700 1 $aSPRAFKE, T.
700 1 $aBASSI, F. S.
700 1 $aVALLE, R.
700 1 $aVIDAL-TORRADO, P.
700 1 $aVILLAGRÁN, X. S.
700 1 $aWATLING, J.
700 1 $aWEBER, S. L.
700 1 $aTEIXEIRA, W. G.
773 $tNature Communications$gv. 13, n. 3444, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
03/06/2023 |
|
Data da última atualização: |
03/06/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
VIDAL, A. K. F.; DAHER, R. F.; AMBRÓSIO, M.; SANTANA, J. G. S.; FREITAS, R. S.; GRAVINA, G. de A.; RODRIGUES, E. V.; STIDA, W. F.; SOUZA, A. G. de; LEITE, C. L.; FARIAS, J. E. C.; RANGEL, L. H.; PEREIRA, A. V. |
|
Afiliação: |
ANA KESIA FARIA VIDAL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ROGÉRIO FIGUEIREDO DAHER, Universidade Estadual do Norte Fluminense Darcy Ribeiro; MOISES AMBRÓSIO, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOSEFA GRASIELA SILVA SANTANA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; RAFAEL SOUZA FREITAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; GERALDO DE AMARAL GRAVINA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ERINA VITÓRIO RODRIGUES, Universidade de Brasília; WANESSA FRANCESCONI STIDA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ALEXANDRE GOMES DE SOUZA, Universidade Estadual do Norte Fluminense Darcy Ribeiro; CLEUDIANE LOPES LEITE, Universidade Estadual do Norte Fluminense Darcy Ribeiro; JOÃO ESDRAS CALAÇA FARIAS, Universidade Estadual do Norte Fluminense Darcy Ribeiro; LEANDRO HEITOR RANGEL, Universidade Estadual do Norte Fluminense Darcy Ribeiro; ANTONIO VANDER PEREIRA, CNPGL. |
|
Título: |
Estimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models. |
|
Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Scientia Agricola, v. 80, e20220103, 2023. |
|
DOI: |
http://doi.org/10.1590/1678-992X-2022-0103 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production. MenosThe mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in e... Mostrar Tudo |
|
Palavras-Chave: |
Cenchrus purpureus; REML/BLUP. |
|
Thesagro: |
Bioenergia; Capim Elefante. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154202/1/Estimation-of-repeatability-and-genotypic-superiority-of-elephant-grass.pdf
|
|
Marc: |
LEADER 02534naa a2200325 a 4500
001 2154202
005 2023-06-03
008 2023 bl uuuu u00u1 u #d
024 7 $ahttp://doi.org/10.1590/1678-992X-2022-0103$2DOI
100 1 $aVIDAL, A. K. F.
245 $aEstimation of repeatability and genotypic superiority of elephant grass half-sib families for energy purposes using mixed models.$h[electronic resource]
260 $c2023
520 $aThe mixed-model methodology is an alternative to select genotypes for traits highly influenced by the environment. In addition, this method allows FOR estimating the repeatability coefficient and predicting the number of assessments needed for a selection process to increase reliability. This study aimed to determine the minimum number of evaluations necessary for a reliable selection process and to estimate the variance components used for predicting genetic gains between and within half-sib families of elephant grass (Cenchrus purpureus (Schumach.) Morrone) using the mixed-model methodology. Half-sib families were generated using genotypes from the Active Germplasm Bank of Elephant Grass. The experiment was performed in a randomized block design with nine half-sib families, three replicates, and eight plants per plot. We evaluated 216 genotypes (individual plants) of elephant grass. The deviance analysis was carried out, genetic parameters were estimated, gains between and within families were predicted, and repeatability coefficients were obtained using Selegen software. There was genetic variability for selection within the families evaluated. The reliability values found above 60 % for plant height and number of tillers and above 80 % for dry matter yield suggest that only two evaluations are required to select superior genotypes with outstanding reliability. Sixteen genotypes were identified and selected for their productive potential, which can be used as parents in elephant grass breeding programs for bioenergy production.
650 $aBioenergia
650 $aCapim Elefante
653 $aCenchrus purpureus
653 $aREML/BLUP
700 1 $aDAHER, R. F.
700 1 $aAMBRÓSIO, M.
700 1 $aSANTANA, J. G. S.
700 1 $aFREITAS, R. S.
700 1 $aGRAVINA, G. de A.
700 1 $aRODRIGUES, E. V.
700 1 $aSTIDA, W. F.
700 1 $aSOUZA, A. G. de
700 1 $aLEITE, C. L.
700 1 $aFARIAS, J. E. C.
700 1 $aRANGEL, L. H.
700 1 $aPEREIRA, A. V.
773 $tScientia Agricola$gv. 80, e20220103, 2023.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
