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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
21/03/2022 |
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Data da última atualização: |
12/07/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DIAS, K. O. G.; SANTOS, J. P. R. dos; KRAUSE, M. D.; PIEPHO, H.-P.; GUIMARAES, L. J. M.; PASTINA, M. M.; GARCIA, A. A. F. |
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Afiliação: |
KAIO O. G. DIAS, Universidade Federal de Viçosa; JHONATHAN P. R. DOS SANTOS, Escola Superior de Agricultura Luiz de Queiroz; MATHEUS D. KRAUSE, Iowa State University; HANS-PETER PIEPHO, University of Hohenheim; LAURO JOSE MOREIRA GUIMARAES, CNPMS; MARIA MARTA PASTINA, CNPMS; ANTONIO A. F. GARCIA, Escola Superior de Agricultura Luiz de Queiroz. |
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Título: |
Leveraging probability concepts for cultivar recommendation in multi?environment trials. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Theoretical and Applied Genetics, v. 135, n. 4, p. 1385-1399, 2022. |
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DOI: |
https://doi.org/10.1007/s00122-022-04041-y |
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Idioma: |
Inglês |
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Conteúdo: |
Statistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate ofspring, and obtain highly productive genotypes for target environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the NoU-Turn sampler algorithm to get Hamiltonian Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our fndings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specifc adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defned intensity of selection that results in a more informed decision-making process toward cultivar recommendation in multi-environment trials. |
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Palavras-Chave: |
Modelo Bayesiano; Modelo misto; Previsão genômica; Regressão de parâmetro. |
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Thesagro: |
Genótipo; Melhoramento Genético Vegetal; Variedade. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01993naa a2200289 a 4500
001 2141063
005 2022-07-12
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s00122-022-04041-y$2DOI
100 1 $aDIAS, K. O. G.
245 $aLeveraging probability concepts for cultivar recommendation in multi?environment trials.$h[electronic resource]
260 $c2022
520 $aStatistical models that capture the phenotypic plasticity of a genotype across environments are crucial in plant breeding programs to potentially identify parents, generate ofspring, and obtain highly productive genotypes for target environments. In this study, our aim is to leverage concepts of Bayesian models and probability methods of stability analysis to untangle genotype-by-environment interaction (GEI). The proposed method employs the posterior distribution obtained with the NoU-Turn sampler algorithm to get Hamiltonian Monte Carlo estimates of adaptation and stability probabilities. We applied the proposed models in two empirical tropical datasets. Our fndings provide a basis to enhance our ability to consider the uncertainty of cultivar recommendation for global or specifc adaptation. We further demonstrate that probability methods of stability analysis in a Bayesian framework are a powerful tool for unraveling GEI given a defned intensity of selection that results in a more informed decision-making process toward cultivar recommendation in multi-environment trials.
650 $aGenótipo
650 $aMelhoramento Genético Vegetal
650 $aVariedade
653 $aModelo Bayesiano
653 $aModelo misto
653 $aPrevisão genômica
653 $aRegressão de parâmetro
700 1 $aSANTOS, J. P. R. dos
700 1 $aKRAUSE, M. D.
700 1 $aPIEPHO, H.-P.
700 1 $aGUIMARAES, L. J. M.
700 1 $aPASTINA, M. M.
700 1 $aGARCIA, A. A. F.
773 $tTheoretical and Applied Genetics$gv. 135, n. 4, p. 1385-1399, 2022.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
30/11/2009 |
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Data da última atualização: |
20/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
WEBER, O. B.; LIMA, R. N. de; CRISOSTOMO, L. A.; FREITAS, J. de A. D. de; MAIA, A. de H. N. |
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Afiliação: |
OLMAR BALLER WEBER, CNPAT; RAIMUNDO NONATO DE LIMA, CNPAT; LINDBERGUE ARAUJO CRISOSTOMO, CNPAT; JOSE DE ARIMATEIA DUARTE DE FREITAS, CNPAT; ALINE DE HOLANDA NUNES MAIA, CNPMA. |
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Título: |
Effect of diazotrophic bacterium inoculation and organic fertilization on yield of Champaka pineapple intercropped with irrigated sapota. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Plant and Soil, v. 327, n.1: p.355-364, aug. 2009. |
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DOI: |
DOI 10.1007/s11104-009-0059-1 |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this study was to evaluate the response of the Champaka pineapple to inoculation with the diazotrophic bacterium Asaia bogorensis (strain 219) when grown with organic fertilizer in an irrigated sapota orchard. Plantlets were transplanted to tubes containing a mixture of worm compost and vermiculite and inoculated with 108 bacterial cells. After five and a half months of acclimatization the plantlets were transplanted in furrows in the sapota orchard. Fertilizer was placed at the bottom of the furrows and covered with three doses (2.5; 5.0 and 7.5 L linear m−1 row) of three organic composts. The successful association of the plantlets with the diazo-trophic bacterium was confirmed by most probable number analysis before transferring to the field. Plants inoculated with strain AB219 showed the greatest initial leaf growth and produced the heaviest fruits compared to uninoculated plants. Plant growth and fruit yield increased with increasing compost dosages. The results suggested that Champaka pineapple benefited from the association of A. bogorensis (strain 219) when grown under irrigation and with organic fertilizer. |
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Thesagro: |
Bacteriologia do Solo. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/143789/1/2009AP-16.pdf
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Marc: |
LEADER 01815naa a2200193 a 4500
001 1576742
005 2023-03-20
008 2009 bl uuuu u00u1 u #d
024 7 $aDOI 10.1007/s11104-009-0059-1$2DOI
100 1 $aWEBER, O. B.
245 $aEffect of diazotrophic bacterium inoculation and organic fertilization on yield of Champaka pineapple intercropped with irrigated sapota.$h[electronic resource]
260 $c2009
520 $aThe purpose of this study was to evaluate the response of the Champaka pineapple to inoculation with the diazotrophic bacterium Asaia bogorensis (strain 219) when grown with organic fertilizer in an irrigated sapota orchard. Plantlets were transplanted to tubes containing a mixture of worm compost and vermiculite and inoculated with 108 bacterial cells. After five and a half months of acclimatization the plantlets were transplanted in furrows in the sapota orchard. Fertilizer was placed at the bottom of the furrows and covered with three doses (2.5; 5.0 and 7.5 L linear m−1 row) of three organic composts. The successful association of the plantlets with the diazo-trophic bacterium was confirmed by most probable number analysis before transferring to the field. Plants inoculated with strain AB219 showed the greatest initial leaf growth and produced the heaviest fruits compared to uninoculated plants. Plant growth and fruit yield increased with increasing compost dosages. The results suggested that Champaka pineapple benefited from the association of A. bogorensis (strain 219) when grown under irrigation and with organic fertilizer.
650 $aBacteriologia do Solo
700 1 $aLIMA, R. N. de
700 1 $aCRISOSTOMO, L. A.
700 1 $aFREITAS, J. de A. D. de
700 1 $aMAIA, A. de H. N.
773 $tPlant and Soil$gv. 327, n.1: p.355-364, aug. 2009.
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Embrapa Meio Ambiente (CNPMA) |
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