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dc.creatorRocha, João Romero do Amaral Santos de Carvalho-
dc.creatorMarçal, Tiago de Souza-
dc.creatorSalvador, Felipe Vicentino-
dc.creatorSilva, Adriel Carlos da-
dc.creatorCarneiro, Pedro Crescencio Souza-
dc.creatorResende, Marcos Deon Vilela de-
dc.creatorCarneiro, Jailton da Costa-
dc.creatorAzevedo, Ana Luisa Sousa-
dc.creatorPereira, Jorge Fernando-
dc.creatorMachado, Juarez Campolina-
dc.date.accessioned2020-04-08T17:23:13Z-
dc.date.available2020-04-08T17:23:13Z-
dc.date.issued2019-
dc.identifier.citationROCHA, J. R. do A. S. de C. et al. Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). Plant Biology, Stuttgart, v. 19, p. 1-12, 2019. DOI: https://doi.org/10.1186/s12870-019-2180-5.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/39888-
dc.description.abstractBackground Elephant grass [Cenchrus purpureus (Schumach.) Morrone] is used for bioenergy and animal feed. In order to identify candidate genes that could be exploited for marker-assisted selection in elephant grass, this study aimed to investigate changes in predictive accuracy using genomic relationship information and simple sequence repeats for eight traits (height, green biomass, dry biomass, acid and neutral detergent fiber, lignin content, biomass digestibility, and dry matter concentration) linked to bioenergetics and animal feeding. Results We used single-step, genome-based best linear unbiased prediction and genome association methods to investigate changes in predictive accuracy and find candidate genes using genomic relationship information. Genetic variability (p < 0.05) was detected for most of the traits evaluated. In general, the overall means for the traits varied widely over the cuttings, which was corroborated by a significant genotype by cutting interaction. Knowing the genomic relationships increased the predictive accuracy of the biomass quality traits. We found that one marker (M28_161) was significantly associated with high values of biomass digestibility. The marker had moderate linkage disequilibrium with another marker (M35_202) that, in general, was detected in genotypes with low values of biomass digestibility. In silico analysis revealed that both markers have orthologous regions in other C4 grasses such as Setaria viridis, Panicum hallii, and Panicum virgatum, and these regions are located close to candidate genes involved in the biosynthesis of cell wall molecules (xyloglucan and lignin), which support their association with biomass digestibility. Conclusions The markers and candidate genes identified here are useful for breeding programs aimed at changing biomass digestibility in elephant grass. These markers can be used in marker-assisted selection to grow elephant grass cultivars for different uses, e.g., bioenergy production, bio-based products, co-products, bioactive compounds, and animal feed.pt_BR
dc.languageen_USpt_BR
dc.publisherSpringer Naturept_BR
dc.rightsAttribution 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourcePlant Biologypt_BR
dc.subjectGene annotationpt_BR
dc.subjectNapier grasspt_BR
dc.subjectPennisetum purpureumpt_BR
dc.subjectSSR markerpt_BR
dc.subjectTrait-marker associationpt_BR
dc.subjectAnotação de genespt_BR
dc.subjectGrama Napierpt_BR
dc.subjectMarcador SSRpt_BR
dc.subjectAssociação traço-marcadorpt_BR
dc.titleUnraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus)pt_BR
dc.typeArtigopt_BR
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