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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Corte. |
Data corrente: |
30/12/2019 |
Data da última atualização: |
30/12/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
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. |
Título: |
Genomic Selection with Allele Dosage in Panicum maximum Jacq. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
G3: Genes|Genomes|Genetics, v. 9, p. 2463-2475, August 2019. |
Idioma: |
Inglês |
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 |
Thesaurus Nal: |
Genomics; Genotyping; Guinea; Plant breeding; Polyploidy; Prediction. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207993/1/Genomic-Selection-with-Allele-Dosage.pdf
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Marc: |
LEADER 02472naa a2200301 a 4500 001 2117941 005 2019-12-30 008 2019 bl uuuu u00u1 u #d 100 1 $aLARA, L. A. de C. 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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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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Registro Completo
Biblioteca(s): |
Embrapa Uva e Vinho. |
Data corrente: |
09/01/2004 |
Data da última atualização: |
23/01/2018 |
Autoria: |
CAMARGO, U. A.; NACHTIGAL, J. C.; MAIA, J. D. G.; OLIVEIRA, P. R. D. de; PROTAS, J. F. da S. |
Afiliação: |
Embrapa Uva e Vinho. |
Título: |
BRS Morena: nova cultivar de uva preta de mesa sem semente. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Bento Gonçalves: Embrapa Uva e Vinho, 2003. |
Páginas: |
4 p. |
Descrição Física: |
il. |
Série: |
(Embrapa Uva e Vinho. Comunicado Técnico, 47). |
Idioma: |
Português |
Notas: |
ISSN 1516-8093. |
Conteúdo: |
Origem; Características ampelográficas: broto, flor, folha adulta, cacho, baga; Características agronômicas e comerciais; Particularidades de manejo; Formação da planta; Manejo do cacho; Recomendações de uso; Disponibilidade de material propagativo. |
Palavras-Chave: |
BRS Morena; Característica; Cultivar; Origem; Uva de mesa; Uva preta; Uva sem semente; Uvas do Brasil; Videira. |
Thesagro: |
Ampelografia; Manejo; Uva; Viticultura. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CNPUV/5276/1/cot047.pdf
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Marc: |
LEADER 01171nam a2200349 a 4500 001 1539108 005 2018-01-23 008 2003 bl uuuu u0uu1 u #d 100 1 $aCAMARGO, U. A. 245 $aBRS Morena$bnova cultivar de uva preta de mesa sem semente. 260 $aBento Gonçalves: Embrapa Uva e Vinho$c2003 300 $a4 p.$cil. 490 $a(Embrapa Uva e Vinho. Comunicado Técnico, 47). 500 $aISSN 1516-8093. 520 $aOrigem; Características ampelográficas: broto, flor, folha adulta, cacho, baga; Características agronômicas e comerciais; Particularidades de manejo; Formação da planta; Manejo do cacho; Recomendações de uso; Disponibilidade de material propagativo. 650 $aAmpelografia 650 $aManejo 650 $aUva 650 $aViticultura 653 $aBRS Morena 653 $aCaracterística 653 $aCultivar 653 $aOrigem 653 $aUva de mesa 653 $aUva preta 653 $aUva sem semente 653 $aUvas do Brasil 653 $aVideira 700 1 $aNACHTIGAL, J. C. 700 1 $aMAIA, J. D. G. 700 1 $aOLIVEIRA, P. R. D. de 700 1 $aPROTAS, J. F. da S.
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