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| 9. |  | KRUG, L. D.; CHIARI, L.; JANK, L.; LAURA, V. A. Avaliação do transcriptoma de Panicum maximum Jacq. em resposta ao déficit hídrico. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 10., 2014, Campo Grande, MS. [Anais da..]. Campo Grande, MS: Embrapa Gado de Corte, 2014. p. 62-63. 2 p. (Embrapa Gado de Corte. Documentos, 208). Comissão organizadora: Grácia Maria Soares Rosinha, Alexandra Rocha de Oliveir, Rodrigo Carvalho Alva.| Biblioteca(s): Embrapa Gado de Corte. |
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| 15. | | CHAIA, G.; CHIARI, L.; SILVA, D. C.; GUEREIRO, J. Closantel (R 31.520) no tratamento da Dermatobia hominis (Lineu Jr., 1781). Pesquisa Agropecuária Brasileira, Brasília, DF, v. 16, n. 2, p. 193-197, mar. 1981 Título em inglês: Closantel (R 31.520) in the treatment of "bernes" (Dermatobia hominis) (Lineu Jr. 1781).| Biblioteca(s): Embrapa Unidades Centrais. |
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| 18. | | FERREIRA, R. C. U. (; CHIARI, L.; SOUZA, A. P. Transferibilidade de marcadores microssatélites entre espécies do gênero Urochloa. WORKSHOP MELHORAMENTO VEGETAL, 2., 2016, Campo Grande, MS. Contribuições, Avanços e perspectivas para o Cerrado brasileiro. Anais... Campo Grande, MS: SBMP, 2016.| Biblioteca(s): Embrapa Gado de Corte. |
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| 19. | | LEGUIZAMON, G. O. de C.; CHIARI, L.; JANK, L. Uso de RAPD para confirmação da identidade de genótipos de Panicum maximum Jacq. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 5., 2009, Guarapari. O melhoramento e os novos cenários da agricultura: anais. Vitória: Incaper, 2009. 1 CD-ROM. (Incaper. Documentos, 11). CBMP 2009. Organizado por Romário Gava Ferrão, Frederico de Pina Matta, Maria Amélia Gava Ferrão, João Cândido de Souza, Adelaide de F. S. da Costa, Liliâm Maria Ventorim Ferrão. 4 p. 1 CD-ROM.| Biblioteca(s): Embrapa Gado de Corte. |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
30/12/2019 |
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Data da última atualização: |
30/12/2019 |
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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: |
LARA, L. A. de C.; SANTOS, M. F.; JANK, L.; CHIARI, L.; VILELA, M. de M.; AMADEU, R. R.; SANTOS, J. P. R. dos; SILVA, F. G. da; ZENG, Z.-B.; GARCIA, A. A. F. |
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Afiliação: |
Letícia A. de C. Lara, Universidade de São Paulo -USP/Faculdade de Agricultura Luiz de Queiroz - ESALQ; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; LUCIMARA CHIARI, CNPGC; MARIANE DE MENDONCA VILELA, CNPGC; Rodrigo R. Amadeu, Universidade de São Paulo -USP/Faculdade de Agricultura Luiz de Queiroz - ESALQ; Jhonathan P. R. dos Santos, Universidade de São Paulo -USP/Faculdade de Agricultura Luiz de Queiroz - ESALQ; FRANCISCO GUILHERME DA SILVA, CNPGL; Zhao-Bang Zeng, North Carolina State University - NCSU; Antonio Augusto F. Garcia, Universidade de São Paulo -USP/Faculdade de Agricultura Luiz de Queiroz - ESALQ. |
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Título: |
Genomic Selection with Allele Dosage in Panicum maximum Jacq. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
G3: Genes|Genomes|Genetics, v. 9, p. 2463-2475, August 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations. In this work, we evaluated different genomic prediction models applied to a recurrent selection population of 530 genotypes of Panicum maximum, an autotetraploid forage grass. We ,also investigated the effect of the allele dosage in the prediction, i.e., considering tetraploid (GS-TD) or diploid (GS-DD) allele dosage. A longitudinal linear mixed model was fitted for each one of the six phenotypic traits, considering different covariance matrices for genetic and residual effects. A total of 41,424 genotypingby- sequencing markers were obtained using 96-plex and Pst1 restriction enzyme, and quantitative genotype calling was performed. Six predictive models were generalized to tetraploid species and predictive ability was estimated by a replicated fivefold cross-validation process. GS-TD and GS-DD models were performed considering 1,223 informative markers. Overall, GS-TD data yielded higher predictive abilities than with GS-DD data. However, different predictive models had similar predictive ability performance. In this work, we provide bioinformatic and modeling guidelines to consider tetraploid dosage and observed that genomic selection may lead to additional gains in recurrent selection program of P. maximum. MenosGenomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations. In this work, we evaluated different genomic prediction models applied to a recurrent selection population of 530 genotypes of Panicum maximum, an autotetraploid forage grass. We ,also investigated the effect of the allele dosage in the prediction, i.e., considering tetraploid (GS-TD) or diploid (GS-DD) allele dosage. A longitudinal linear mixed model was fitted for each one of the six phenotypic traits, considering different covariance matrices for genetic and residual effects. A total of 41,424 genotypingby- sequencing markers were obtained using 96-plex and Pst1 restriction enzyme, and quantitative genotype calling was performed. Six predictive models were generalized to tetraploid species and predictive ability was estimated by a replicated fivefold cross-validation process. GS-TD and GS-DD models were performed considering 1,223 informative markers. Overall, GS-TD data yielded higher predictive abilities than with GS-DD data. However, different predictive models had similar predictive ability performance. In this work, we provide bioinformati... Mostrar Tudo |
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Thesaurus NAL: |
Genomics; Genotyping; Guinea; Plant breeding; Polyploidy; Prediction. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207993/1/Genomic-Selection-with-Allele-Dosage.pdf
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Marc: |
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245 $aGenomic Selection with Allele Dosage in Panicum maximum Jacq.$h[electronic resource]
260 $c2019
520 $aGenomic selection is an efficient approach to get shorter breeding cycles in recurrent selection programs and greater genetic gains with selection of superior individuals. Despite advances in genotyping techniques, genetic studies for polyploid species have been limited to a rough approximation of studies in diploid species. The major challenge is to distinguish the different types of heterozygotes present in polyploid populations. In this work, we evaluated different genomic prediction models applied to a recurrent selection population of 530 genotypes of Panicum maximum, an autotetraploid forage grass. We ,also investigated the effect of the allele dosage in the prediction, i.e., considering tetraploid (GS-TD) or diploid (GS-DD) allele dosage. A longitudinal linear mixed model was fitted for each one of the six phenotypic traits, considering different covariance matrices for genetic and residual effects. A total of 41,424 genotypingby- sequencing markers were obtained using 96-plex and Pst1 restriction enzyme, and quantitative genotype calling was performed. Six predictive models were generalized to tetraploid species and predictive ability was estimated by a replicated fivefold cross-validation process. GS-TD and GS-DD models were performed considering 1,223 informative markers. Overall, GS-TD data yielded higher predictive abilities than with GS-DD data. However, different predictive models had similar predictive ability performance. In this work, we provide bioinformatic and modeling guidelines to consider tetraploid dosage and observed that genomic selection may lead to additional gains in recurrent selection program of P. maximum.
650 $aGenomics
650 $aGenotyping
650 $aGuinea
650 $aPlant breeding
650 $aPolyploidy
650 $aPrediction
700 1 $aSANTOS, M. F.
700 1 $aJANK, L.
700 1 $aCHIARI, L.
700 1 $aVILELA, M. de M.
700 1 $aAMADEU, R. R.
700 1 $aSANTOS, J. P. R. dos
700 1 $aSILVA, F. G. da
700 1 $aZENG, Z.-B.
700 1 $aGARCIA, A. A. F.
773 $tG3: Genes|Genomes|Genetics$gv. 9, p. 2463-2475, August 2019.
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