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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
18/02/2003 |
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Data da última atualização: |
23/01/2023 |
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Autoria: |
SIQUEIRA, J. C. de. |
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Título: |
Contribuicao ao conhecimento taxonomico das especies do genero Gomphrena L. (Amaranthaceae) que ocorrem nas regioes sudeste e centro-oeste do Brasil. |
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Ano de publicação: |
1985 |
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Fonte/Imprenta: |
Sao Leopoldo: Instituto Anchietano de Pesquisas, 1985. |
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Páginas: |
111p. il. |
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Série: |
(Instituto Anchietano de Pesquisas. Pesquisas. Botanica, 037). |
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Idioma: |
Português |
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Conteúdo: |
O presente trabalho é uma contribuicao para o conhecimento taxonomico de 27 especies do genero Gomphrena L. encontradas nas regiões Sudeste e Centro Oeste do Brasil, sao elas: Gomphrena marginata Seub. Gomophrena lanigera Pohl. Gomphrena moquinii Seub. Gomphrena cetrota Holzh. Gomphrena officinalis Mart. Gomphrena celosiodes Mart. Gomphrena matogrossensis Suess. Gomphrena desertorum Mart. Gomphrena globosa L. Gomphrenascapigenessi Seub. Gomphrena hermogenesii J.C. Siqueira. Gomphrena virgata Mart. Gomphrena regeliana Seub. Gomphrena paranensis R.E. Fries. Gompherna agrestis Mart. Gomphrena incana Mart. Gomphrena rudis Moq. Gomphrena rudies Moq. Gomphrena pohllis Moq. Mophrena sericantha Mart. Gomphrena prostata Nart. Gomphrenasericantha Mart. Gomphrena claussenssi Moq. Gomphrena mollis Mart. Gomphrena elegans Mart. Gomphrena angustinflora Mart. Gomphrena aphylla Pohl ex Moq. |
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Palavras-Chave: |
Amarantacea; Genero; Taxonimia vegetal. |
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Thesagro: |
Amaranthaceae; Botânica; Planta. |
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Thesaurus Nal: |
Gomphrena; taxonomy. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01619nam a2200229 a 4500
001 1151219
005 2023-01-23
008 1985 bl uuuu 00u1 u #d
100 1 $aSIQUEIRA, J. C. de
245 $aContribuicao ao conhecimento taxonomico das especies do genero Gomphrena L. (Amaranthaceae) que ocorrem nas regioes sudeste e centro-oeste do Brasil.
260 $aSao Leopoldo: Instituto Anchietano de Pesquisas$c1985
300 $a111p. il.
490 $a(Instituto Anchietano de Pesquisas. Pesquisas. Botanica, 037).
520 $aO presente trabalho é uma contribuicao para o conhecimento taxonomico de 27 especies do genero Gomphrena L. encontradas nas regiões Sudeste e Centro Oeste do Brasil, sao elas: Gomphrena marginata Seub. Gomophrena lanigera Pohl. Gomphrena moquinii Seub. Gomphrena cetrota Holzh. Gomphrena officinalis Mart. Gomphrena celosiodes Mart. Gomphrena matogrossensis Suess. Gomphrena desertorum Mart. Gomphrena globosa L. Gomphrenascapigenessi Seub. Gomphrena hermogenesii J.C. Siqueira. Gomphrena virgata Mart. Gomphrena regeliana Seub. Gomphrena paranensis R.E. Fries. Gompherna agrestis Mart. Gomphrena incana Mart. Gomphrena rudis Moq. Gomphrena rudies Moq. Gomphrena pohllis Moq. Mophrena sericantha Mart. Gomphrena prostata Nart. Gomphrenasericantha Mart. Gomphrena claussenssi Moq. Gomphrena mollis Mart. Gomphrena elegans Mart. Gomphrena angustinflora Mart. Gomphrena aphylla Pohl ex Moq.
650 $aGomphrena
650 $ataxonomy
650 $aAmaranthaceae
650 $aBotânica
650 $aPlanta
653 $aAmarantacea
653 $aGenero
653 $aTaxonimia vegetal
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
24/08/2015 |
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Data da última atualização: |
25/02/2016 |
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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: |
AZEVEDO, C. F.; RESENDE, M. D. V. de; SILVA, F. F. e; VIANA, J. M. S.; VALENTE, M. S. F.; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. |
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Afiliação: |
Camila Ferreira Azevedo, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; Fabyano Fonseca e Silva, UFV; José Marcelo Soriano Viana, UFV; Magno Sávio Ferreira Valente, UFV; Márcio Fernando Ribeiro Resende Jr, Florida Innovation Hub; Patricio Muñoz, University of Florida. |
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Título: |
Ridge, Lasso and Bayesian additive dominance genomic models. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
BMC Genetics, v. 16, art. 105, Aug. 2015. 13 p. |
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DOI: |
10.1186/s12863-015-0264-2 |
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Idioma: |
Inglês |
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Conteúdo: |
Background: A complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for additive-dominance models. The objective of this paper was (i) to compare the performance of 10 additive-dominance predictive models (including current models and proposed modifications), fitted using Bayesian, Lasso and Ridge regression approaches; and (ii) to decompose genomic heritability and accuracy in terms of three quantitative genetic information sources, namely, linkage disequilibrium (LD), co-segregation (CS) and pedigree relationships or family structure (PR). The simulation study considered two broad sense heritability levels (0.30 and 0.50, associated with narrow sense heritabilities of 0.20 and 0.35, respectively) and two genetic architectures for traits (the first consisting of small gene effects and the second consisting of a mixed inheritance model with five major genes). Results: G-REML/G-BLUP and a modified Bayesian/Lasso (called BayesA*B* or t-BLASSO) method performed best in the prediction of genomic breeding as well as the total genotypic values of individuals in all four scenarios (two heritabilities x two genetic architectures). The BayesA*B*-type method showed a better ability to recover the dominance variance/additive variance ratio. Decomposition of genomic heritability and accuracy revealed the following descending importance order of information: LD, CS and PR not captured by markers, the last two being very close. Conclusions: Amongst the 10 models/methods evaluated, the G-BLUP, BAYESA*B* (−2,8) and BAYESA*B* (4,6) methods presented the best results and were found to be adequate for accurately predicting genomic breeding and total genotypic values as well as for estimating additive and dominance in additive-dominance genomic models. MenosBackground: A complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for additive-dominance models. The objective of this paper was (i) to compare the performance of 10 additive-dominance predictive models (including current models and proposed modifications), fitted using Bayesian, Lasso and Ridge regression approaches; and (ii) to decompose genomic heritability and accuracy in terms of three quantitative genetic information sources, namely, linkage disequilibrium (LD), co-segregation (CS) and pedigree relationships or family structure (PR). The simulation study considered two broad sense heritability levels (0.30 and 0.50, associated with narrow sense heritabilities of 0.20 and 0.35, respectively) and two genetic architectures for traits (the first consisting of small gene effects and the second consisting of a mixed inheritance model with five major genes). Results: G-REML/G-BLUP and a modified Bayesian/Lasso (called BayesA*B* or t-BLASSO) method performed best in the prediction of genomic breeding as well as the total genotypic values of individuals in all four scenarios (two heritabilities x two genetic architectures). The BayesA*B*-type method showed a better ability to recover the dominance variance/additive variance ratio. Decomposition of genomic heritability and accuracy revealed the following descending importance order of information: LD, CS ... Mostrar Tudo |
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Palavras-Chave: |
Bayesian methods; Dominance genomic models; Genética quantitativa; Lasso methods; Melhoramento genético; Modelo Bayesiano; Selection accuracy. |
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Thesagro: |
Parâmetro Genético. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128510/1/2015-API-Deon-Ridge.pdf
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Marc: |
LEADER 02783naa a2200301 a 4500
001 2022575
005 2016-02-25
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1186/s12863-015-0264-2$2DOI
100 1 $aAZEVEDO, C. F.
245 $aRidge, Lasso and Bayesian additive dominance genomic models.$h[electronic resource]
260 $c2015
520 $aBackground: A complete approach for genome-wide selection (GWS) involves reliable statistical genetics models and methods. Reports on this topic are common for additive genetic models but not for additive-dominance models. The objective of this paper was (i) to compare the performance of 10 additive-dominance predictive models (including current models and proposed modifications), fitted using Bayesian, Lasso and Ridge regression approaches; and (ii) to decompose genomic heritability and accuracy in terms of three quantitative genetic information sources, namely, linkage disequilibrium (LD), co-segregation (CS) and pedigree relationships or family structure (PR). The simulation study considered two broad sense heritability levels (0.30 and 0.50, associated with narrow sense heritabilities of 0.20 and 0.35, respectively) and two genetic architectures for traits (the first consisting of small gene effects and the second consisting of a mixed inheritance model with five major genes). Results: G-REML/G-BLUP and a modified Bayesian/Lasso (called BayesA*B* or t-BLASSO) method performed best in the prediction of genomic breeding as well as the total genotypic values of individuals in all four scenarios (two heritabilities x two genetic architectures). The BayesA*B*-type method showed a better ability to recover the dominance variance/additive variance ratio. Decomposition of genomic heritability and accuracy revealed the following descending importance order of information: LD, CS and PR not captured by markers, the last two being very close. Conclusions: Amongst the 10 models/methods evaluated, the G-BLUP, BAYESA*B* (−2,8) and BAYESA*B* (4,6) methods presented the best results and were found to be adequate for accurately predicting genomic breeding and total genotypic values as well as for estimating additive and dominance in additive-dominance genomic models.
650 $aParâmetro Genético
653 $aBayesian methods
653 $aDominance genomic models
653 $aGenética quantitativa
653 $aLasso methods
653 $aMelhoramento genético
653 $aModelo Bayesiano
653 $aSelection accuracy
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e
700 1 $aVIANA, J. M. S.
700 1 $aVALENTE, M. S. F.
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aMUÑOZ, P.
773 $tBMC Genetics$gv. 16, art. 105, Aug. 2015. 13 p.
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Embrapa Florestas (CNPF) |
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