| |
|
|
|
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 |
|
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
|
|
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.
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 Agroindústria Tropical; Embrapa Meio-Norte. |
|
Data corrente: |
06/11/2018 |
|
Data da última atualização: |
29/01/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
PEREIRA, M. S.; BLUM, J.; SOUZA, H. A. de; TANIGUCHI, C. A. K. |
|
Afiliação: |
Magnum de Sousa Pereira, Universidade Federal do Ceará, Departamento de Ciências do Solo; Julius Blum, Universidade Federal do Ceará, Departamento de Ciências do Solo; HENRIQUE ANTUNES DE SOUZA, CPAMN; CARLOS ALBERTO KENJI TANIGUCHI, CNPAT. |
|
Título: |
Organic carbon decomposition in soil amended with organic compost from slaughterhouse residues. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Journal of Agricultural Science, v. 10, n. 8, p. 7-14, 2018. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Decomposition kinetic of applied compost in soil depends on the decomposition rate coefficient (k), environmental conditions and the interactions with soil. However, studies with the aim of determining k values for different materials rarely consider interactions with soil. The objective of the current study was to estimate k value of an organic compost, considering the interactions with the soil. |
|
Palavras-Chave: |
Efeito priming; Proteção de carbono. |
|
Thesagro: |
Decomposição. |
|
Thesaurus NAL: |
Soil organic carbon. |
|
Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187627/1/ART18073.pdf
|
|
Marc: |
LEADER 01032naa a2200205 a 4500
001 2098827
005 2019-01-29
008 2018 bl uuuu u00u1 u #d
100 1 $aPEREIRA, M. S.
245 $aOrganic carbon decomposition in soil amended with organic compost from slaughterhouse residues.$h[electronic resource]
260 $c2018
520 $aDecomposition kinetic of applied compost in soil depends on the decomposition rate coefficient (k), environmental conditions and the interactions with soil. However, studies with the aim of determining k values for different materials rarely consider interactions with soil. The objective of the current study was to estimate k value of an organic compost, considering the interactions with the soil.
650 $aSoil organic carbon
650 $aDecomposição
653 $aEfeito priming
653 $aProteção de carbono
700 1 $aBLUM, J.
700 1 $aSOUZA, H. A. de
700 1 $aTANIGUCHI, C. A. K.
773 $tJournal of Agricultural Science$gv. 10, n. 8, p. 7-14, 2018.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
