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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
17/03/2017 |
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Data da última atualização: |
20/04/2021 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CUNHA, L.; BARTZ, M.; DEMETRIO, W.; SILVA, T.; JAMES, S.; SILVA, E. da; STANTON, D.; CONRADO, A. C.; DECAENS, T.; LAVELLE, P.; SANTOS, A.; NADOLNY, H.; VELÁSQUEZ, E.; ZANGERLÉ, A.; TAPIA-CORAL, S.; FERREIRA, T.; MAIA, L.; SEGALLA, R.; CLEMENT, C.; MUNIZ, A. W.; KILLE, P.; BROWN, G. G. |
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Afiliação: |
LUIS CUNHA, Cardiff University - United Kingdom; MARIE BARTZ, Universidade Positivo; WILIAN DEMETRIO, UFPR; TELMA SILVA, Instituto Nacional de Pesquisas da Amazônia; SAMUEL JAMES, University of Iowa - United States; ELODIE DA SILVA, Bolsista da Embrapa Florestas; DAVID STANTON, Cardiff University - United Kingdom; ANA CAROLINE CONRADO, UFPR; THIBAUD DECAENS, Centre d'Ecologie Fonctionnelle et Evolutive (CEFE); PATRICK LAVELLE, Institut de Recherche pour le Développement (IRD); ALESSANDRA SANTOS, UFPR; HERLON NADOLY, Bolsista da UFPR; ELENA VELÁSQUEZ, Universidad nacional de Colombia; ANNE ZANGERLÉ, Technische Universitat Braunschweig - Germany; SANDRA TAPIA-CORAL, INPA; TALITA FERREIRA, UFPR; LILIANNE MAIA, UFPR; RODRIGO SEGALLA, UFPR; CHARLES CLEMENT, Instituto Nacional de Pesquisas da Amazônia; ALEKSANDER WESTPHAL MUNIZ, CPAA; PETER KILLE, Cardiff University - United Kingdom; GEORGE GARDNER BROWN, CNPF. |
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Título: |
Earthworms and Amazonian Dark Earths: improving understanding of the relationships between soil management, biodiversity and function. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
In: INTERNATIONAL OLIGOCHAETE TAXONOMY MEETING, 7., 2016, Paimpont. Taxonomy, phygeny and ecology of earthworm's communities. [Rennes]: Université de Rennes, [2016]. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Terras Escuras Amazônicas. |
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Thesagro: |
Minhoca; Solo florestal. |
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Thesaurus Nal: |
Forest soils. |
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Categoria do assunto: |
S Ciências Biológicas |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157766/1/2016-GeorgeB-IOTM-EarthwormsAndAmazonian.pdf
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Marc: |
LEADER 01262nam a2200409 a 4500
001 2067230
005 2021-04-20
008 2016 bl uuuu u00u1 u #d
100 1 $aCUNHA, L.
245 $aEarthworms and Amazonian Dark Earths$bimproving understanding of the relationships between soil management, biodiversity and function.$h[electronic resource]
260 $aIn: INTERNATIONAL OLIGOCHAETE TAXONOMY MEETING, 7., 2016, Paimpont. Taxonomy, phygeny and ecology of earthworm's communities. [Rennes]: Université de Rennes, [2016].$c2016
300 $aNão paginado.
650 $aForest soils
650 $aMinhoca
650 $aSolo florestal
653 $aTerras Escuras Amazônicas
700 1 $aBARTZ, M.
700 1 $aDEMETRIO, W.
700 1 $aSILVA, T.
700 1 $aJAMES, S.
700 1 $aSILVA, E. da
700 1 $aSTANTON, D.
700 1 $aCONRADO, A. C.
700 1 $aDECAENS, T.
700 1 $aLAVELLE, P.
700 1 $aSANTOS, A.
700 1 $aNADOLNY, H.
700 1 $aVELÁSQUEZ, E.
700 1 $aZANGERLÉ, A.
700 1 $aTAPIA-CORAL, S.
700 1 $aFERREIRA, T.
700 1 $aMAIA, L.
700 1 $aSEGALLA, R.
700 1 $aCLEMENT, C.
700 1 $aMUNIZ, A. W.
700 1 $aKILLE, P.
700 1 $aBROWN, G. G.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
10/01/2023 |
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Data da última atualização: |
10/01/2023 |
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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: |
BARTH, E.; RESENDE, J. T. V. de; MARIGUELE, K. H.; RESENDE, M. D. V. de; SILVA, A. L. B. R. da; RU, S. |
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Afiliação: |
ENEIDE BARTH, EMPRESA DE PESQUISA AGROPECUÁRIA E EXTENSÃO RURAL DE SANTA CATARINA; JULIANO TADEU VILELA DE RESENDE, UNIVERSIDADE ESTADUAL DE LONDRINA; KENY HENRIQUE MARIGUELE, EMPRESA DE PESQUISA AGROPECUÁRIA E EXTENSÃO RURAL DE SANTA CATARINA; MARCOS DEON VILELA DE RESENDE, CNPCa; ANDRÉ LUIZ BISCAIA RIBEIRO DA SILVA, AUBURN UNIVERSITY; SUSHAN RU, AUBURN UNIVERSITY. |
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Título: |
Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientific Reports, v. 12, 11458, 2022. |
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Páginas: |
12 p. |
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DOI: |
https://doi.org/10.1038/s41598-022-15688-4 |
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Idioma: |
Inglês |
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Conteúdo: |
Methods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic improvement, particularly, because it allows many traits to be evaluated simultaneously. In this study, heat-tolerant genotypes have been selected by analyzing phenotypic diversity, direct and indirect relationships among traits were identified, and four selection indices compared. Diversity was estimated using K-means clustering with the number of clusters determined by the Elbow method, and the relationship among traits was quantified by path analysis. Parametric and non-parametric indices were applied to selected genotypes using the magnitude of genotypic variance, heritability, genotypic coefficient of variance, and assigned economic weight as selection criteria. The variability among materials led to the formation of two non-overlapping clusters containing 40 and 154 genotypes. Strong to moderate correlations were found between traits with direct effect of the number of commercial fruit on the mass of commercial fruit. The Smith and Hazel index showed the greatest total gains for all criteria; however, concerning the biochemical traits, the Mulamba and Mock index showed the highest magnitudes of predicted gains. Overall, the K-means clustering, correlation analysis, and path analysis complement the use of selection indices, allowing for selection of genotypes with better balance among the assessed traits. |
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Thesaurus NAL: |
Genotype; Multivariate analysis; Plant selection guides; Strawberries. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150840/1/Multivariate-analysis-methods.pdf
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Marc: |
LEADER 02202naa a2200253 a 4500
001 2150840
005 2023-01-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1038/s41598-022-15688-4$2DOI
100 1 $aBARTH, E.
245 $aMultivariate analysis methods improve the selection of strawberry genotypes with low cold requirement.$h[electronic resource]
260 $c2022
300 $a12 p.
520 $aMethods of multivariate analysis is a powerful approach to assist the initial stages of crops genetic improvement, particularly, because it allows many traits to be evaluated simultaneously. In this study, heat-tolerant genotypes have been selected by analyzing phenotypic diversity, direct and indirect relationships among traits were identified, and four selection indices compared. Diversity was estimated using K-means clustering with the number of clusters determined by the Elbow method, and the relationship among traits was quantified by path analysis. Parametric and non-parametric indices were applied to selected genotypes using the magnitude of genotypic variance, heritability, genotypic coefficient of variance, and assigned economic weight as selection criteria. The variability among materials led to the formation of two non-overlapping clusters containing 40 and 154 genotypes. Strong to moderate correlations were found between traits with direct effect of the number of commercial fruit on the mass of commercial fruit. The Smith and Hazel index showed the greatest total gains for all criteria; however, concerning the biochemical traits, the Mulamba and Mock index showed the highest magnitudes of predicted gains. Overall, the K-means clustering, correlation analysis, and path analysis complement the use of selection indices, allowing for selection of genotypes with better balance among the assessed traits.
650 $aGenotype
650 $aMultivariate analysis
650 $aPlant selection guides
650 $aStrawberries
700 1 $aRESENDE, J. T. V. de
700 1 $aMARIGUELE, K. H.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, A. L. B. R. da
700 1 $aRU, S.
773 $tScientific Reports$gv. 12, 11458, 2022.
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Registro original: |
Embrapa Café (CNPCa) |
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