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Registro Completo |
Biblioteca(s): |
Embrapa Hortaliças. |
Data corrente: |
08/12/2004 |
Data da última atualização: |
22/11/2018 |
Autoria: |
KUROZAWA, C.; PAVAN, M. A. |
Título: |
Doenças do tomateiro: Lycopersicon esculentum Mill. |
Edição: |
3. ed. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
In: KIMATI, H.; AMORIM, L.; BERGAMIN FILHO, A.; CAMARGO, L. E. A.; REZENDE, J. A. M. Manual de fitopatologia. São Paulo: Agronômica Ceres, 1997. |
Volume: |
v. 2. |
Páginas: |
p. 690-724. |
Idioma: |
Português |
Palavras-Chave: |
Controle; Geminivírus; Vira-cabeça. |
Thesagro: |
Bactéria; Doença; Etiologia; Fungo; Lycopersicon Esculentum; Sintoma; Tomate; Vírus. |
Thesaurus Nal: |
Tospovirus. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00830naa a2200301 a 4500 001 1777353 005 2018-11-22 008 1997 bl uuuu u00u1 u #d 100 1 $aKUROZAWA, C. 245 $aDoenças do tomateiro$bLycopersicon esculentum Mill. 250 $a3. ed. 260 $c1997 300 $ap. 690-724. v. 2. 490 $vv. 2. 650 $aTospovirus 650 $aBactéria 650 $aDoença 650 $aEtiologia 650 $aFungo 650 $aLycopersicon Esculentum 650 $aSintoma 650 $aTomate 650 $aVírus 653 $aControle 653 $aGeminivírus 653 $aVira-cabeça 700 1 $aPAVAN, M. A. 773 $tIn: KIMATI, H.; AMORIM, L.; BERGAMIN FILHO, A.; CAMARGO, L. E. A.; REZENDE, J. A. M. Manual de fitopatologia. São Paulo: Agronômica Ceres, 1997.
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Embrapa Hortaliças (CNPH) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
25/07/2018 |
Data da última atualização: |
25/07/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
SILVA, F. F.; JEREZ, E. A. Z.; RESENDE, M. D. V. de; VIANA, J. M. S.; AZEVEDO, C. F.; LOPES, P. S.; NASCIMENTO, M.; LIMA, R. O. de; GUIMARÃES, S. E. F. |
Afiliação: |
Fabyano Fonseca Silva, UFV; Elcer Albenis Zamora Jerez, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; José Marcelo Soriano Viana, UFV; Camila Ferreira Azevedo, UFV; Paulo Sávio Lopes, UFV; Moysés Nascimento, UFV; Rodrigo Oliveira de Lima, UFV; Simone Eliza Facioni Guimarães, UFV. |
Título: |
Bayesian model combining linkage and linkage disequilibrium analysis for low density-based genomic selection in animal breeding. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Journal of Applied Animal Research, v. 46, n. 1, p. 873-878, 2018. |
DOI: |
10.1080/09712119.2017.1415903 |
Idioma: |
Inglês |
Conteúdo: |
We combined linkage (LA) and linkage disequilibrium (LDA) analyses (emerging the term ?LALDA?) for genomic selection (GS) purposes. The models were fitted to a simulated dataset and to a real data of feed conversion ratio in pigs. Firstly, the significant QTLs (quantitative trait locus) were identified through LA-based mixed models considering the QTL-genotypes as random effects by means of genotypic identity by descent matrix. This matrix was calculated at the positions of significant QTLs (based on LA) allowing to include the QTL-genotype effects additionally to SNP (single nucleotide polymorphism) markers (based on LDA) and additive polygenic effects in several GS models (Bayesian Ridge Regression ? BRR; Bayes A ? BA; Bayes B ? BB; Bayes C ? BC and Bayesian LASSO ? BL). These models combing all mentioned effects were denominated LALDA. Goodness-of-fit and predictive ability analyses were performed to evaluate the efficiency of these models. For the real data, although slightly, the superiority of the LALDA models was verified in comparison to traditional LDA models for GS. For the simulated dataset, the models presented similar results. For both LDA and LALDA frameworks, BA showed the best fitting through Deviance Information Criterion and higher predictive ability in the simulated and real datasets. |
Palavras-Chave: |
x. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/180314/1/2018-M.Deon-JAAQR-Bayesian.pdf
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Marc: |
LEADER 02093naa a2200241 a 4500 001 2093541 005 2018-07-25 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1080/09712119.2017.1415903$2DOI 100 1 $aSILVA, F. F. 245 $aBayesian model combining linkage and linkage disequilibrium analysis for low density-based genomic selection in animal breeding.$h[electronic resource] 260 $c2018 520 $aWe combined linkage (LA) and linkage disequilibrium (LDA) analyses (emerging the term ?LALDA?) for genomic selection (GS) purposes. The models were fitted to a simulated dataset and to a real data of feed conversion ratio in pigs. Firstly, the significant QTLs (quantitative trait locus) were identified through LA-based mixed models considering the QTL-genotypes as random effects by means of genotypic identity by descent matrix. This matrix was calculated at the positions of significant QTLs (based on LA) allowing to include the QTL-genotype effects additionally to SNP (single nucleotide polymorphism) markers (based on LDA) and additive polygenic effects in several GS models (Bayesian Ridge Regression ? BRR; Bayes A ? BA; Bayes B ? BB; Bayes C ? BC and Bayesian LASSO ? BL). These models combing all mentioned effects were denominated LALDA. Goodness-of-fit and predictive ability analyses were performed to evaluate the efficiency of these models. For the real data, although slightly, the superiority of the LALDA models was verified in comparison to traditional LDA models for GS. For the simulated dataset, the models presented similar results. For both LDA and LALDA frameworks, BA showed the best fitting through Deviance Information Criterion and higher predictive ability in the simulated and real datasets. 653 $ax 700 1 $aJEREZ, E. A. Z. 700 1 $aRESENDE, M. D. V. de 700 1 $aVIANA, J. M. S. 700 1 $aAZEVEDO, C. F. 700 1 $aLOPES, P. S. 700 1 $aNASCIMENTO, M. 700 1 $aLIMA, R. O. de 700 1 $aGUIMARÃES, S. E. F. 773 $tJournal of Applied Animal Research$gv. 46, n. 1, p. 873-878, 2018.
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