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| AONO, A. H.; FERREIRA, R. C. U.; MORAES, A. da C. L.; LARA, L. A. de C.; PIMENTA, R. J. G.; COSTA, E. A.; PINTO, L. R.; LANDELL, M. G. de A.; SANTOS, M. F.; JANK, L.; BARRIOS, S. C. L.; VALLE, C. B.; CHIARI, L.; GARCIA, A. A. F.; KUROSHU, R. M.; LORENA, A. C.; GORJANC, G.; SOUZA, A. P. de. |
| Poaceae, among the most abundant plant families, includes many economically important polyploid species, such as forage grasses and sugarcane (Saccharum spp.). These species have elevated genomic complexities and limited genetic resources, hindering the application of marker-assisted selection strategies. Currently, the most promising approach for increasing genetic gains in plant breeding is genomic selection. However, due to the polyploidy nature of these polyploid species, more accurate models for incorporating genomic selection into breeding schemes are needed. This study aims to develop a machine learning method by using a joint learning approach to predict complex traits from genotypic data. Biparental populations of sugarcane and two species of... |
| Tipo: Artigo de periódico |
Palavras-chave: Cana de Açúcar; Gramínea Forrageira; Recurso Genético; Forage grasses; Genetic resources; Plant breeding; Poaceae; Polyploidy; Saccharum; Sugarcane. |
| Ano: 2022 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150365 |
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| ANONI, C. O.; GAZAFFI, R.; PASTINA, M. M.; MANCINI, M. C.; COSTA, E. A.; MOLLINARI, M.; MARCONI, T. G.; PINTO, L. R.; SOUZA, A. P.; GARCIA, A. A. F.. |
| Tipo: Parte de livro |
Palavras-chave: Poliploidia; Cana de açúcar; Genética; Saccharum; Polyploidy; Quantitative trait loci. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/974189 |
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| GARCIA, A. A. F.; MOLLINARI, M.; MARCONI, T. G.; SERANG, O. R.; SILVA, R. R.; VIEIRA, M. L. C.; VICENTINI, R.; COSTA, E. A.; MANCINI, M. C.; GARCIA, M. O. S.; PASTINA, M. M.; GAZAFFI, R.; MARTINS, E. R. F.; DAHMER, N.; SFORÇA, D. A.; SILVA, C. B. C.; BUNDOCK, P.; HENRY, R. J.; SOUZA, G. M.; SLUYS, M.-A. V.; LANDELL, M. G. A.; CARNEIRO, M. S.; VINCENTZ, M. A. G.; PINTO, L. R.; VENCOVSKY, R.; SOUZA, A. P.. |
| Many plant species of great economic value (e.g., potato, wheat, cotton, and sugarcane) are polyploids. Despite the essential roles of autopolyploid plants in human activities, our genetic understanding of these species is still poor. Recent progress in instrumentation and biochemical manipulation has led to the accumulation of an incredible amount of genomic data. In this study, we demonstrate for the first time a successful genetic analysis in a highly polyploid genome (sugarcane) by the quantitative analysis of single-nucleotide polymorphism (SNP) allelic dosage and the application of a new data analysis framework. This study provides a better understanding of autopolyploid genomic structure and is a sound basis for genetic studies. The proposed methods... |
| Tipo: Artigo de periódico |
Palavras-chave: Genótipo; Genética vegetal; Genoma; Cana de açúcar; Genotype; Genome; Plant genetics. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/976559 |
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