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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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FERREIRA, R. C. U.; LARA, L. A. de C.; CHIARI, L.; BARRIOS, S. C. L.; VALLE, C. B. do; VALERIO, J. R.; TORRES, F. Z. V.; GARCIA, A. A. F.; SOUZA, A. P. de. |
Urochloa decumbens (Stapf) R. D. Webster is one of the most important African forage grasses in Brazilian beef production. Currently available genetic-genomic resources for this species are restricted mainly due to polyploidy and apomixis. Therefore, crucial genomic-molecular studies such as the construction of genetic maps and the mapping of quantitative trait loci (QTLs) are very challenging and consequently affect the advancement of molecular breeding. The objectives of this work were to (i) construct an integrated U. decumbens genetic map for a full-sibling progeny using GBS-based markers with allele dosage information, (ii) detect QTLs for spittlebug (Notozulia entreriana) resistance, and (iii) seek putative candidate genes involved in defense against... |
Tipo: Artigo de periódico |
Palavras-chave: Allele dosage; Linkage map; Signalgrass; SNP; Brachiaria; Polyploidy; Quantitative traits. |
Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106558 |
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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.. |
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... |
Tipo: Artigo de periódico |
Palavras-chave: Plant breeding; Guinea; Genotyping; Polyploidy; Genomics; Prediction. |
Ano: 2019 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117941 |
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