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| Registros recuperados : 292 | |
| 165. |  | ARANTES, A. C. C.; SOUZA, A. P. de; ARAÚJO, B. L. O.; FRAGA, A. C.; CASTRO NETO, P. Matérias primas alternativa para a produção de biodiesel. In: CONGRESSO BRASILEIRO DE PLANTAS OLEAGINOSAS, ÓLEOS, GORDURAS E BIODIESEL, 6., 2009. Montes Claros. Biodiesel: inovação tecnológica – anais. Lavras: UFLA, 2009.| Biblioteca(s): Embrapa Algodão. |
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| 168. | | SOUSA, A. C. B. de; JANK, L.; CAMPOS, T. de; SFORÇA, D. A.; ZUCCHI, M. I.; SOUZA, A. P. de. Molecular diversity and genetic structure of guineagrass (Panicum maximum Jacq.), a tropical pasture grass. Tropical Plant Biology, v.4, n.3-4, p. 185-202, 2011.| Biblioteca(s): Embrapa Gado de Corte. |
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| 169. | | SOUZA, A. P. de; OLIVEIRA, F. A.; VIGNA, B. B. Z.; MARGARIDO, G. R. A.; HOHENLOHE, P. A. Genome-wide polymorphisms in polyploids Paspalum species from Plicatula group. In: INTERNATIONAL FORAGE TURF BREEDING CONFERENCE, 2019, Lake Buena Vista, Florida. Proceedings... Lake Buena Vista, Florida: University of Florida, 2019. p.15| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 170. | | VIGNA, B. B. Z.; JUGMANN, L.; FRANCISCO, P. M.; ZUCCHI, M. I.; VALLE, C. B. do; SOUZA, A. P. de. Genetic diversity and population structure of the Brachiaria brizantha germplasm. Tropical Plant Biology, v.4, n.3-4, p.157-169, 2011.| Biblioteca(s): Embrapa Gado de Corte. |
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| 171. | | MOREIRA, F. M. T.; SOUZA, A. P. de; MACHADO, C. C.; MINETTI, L. J.; SILVA, K. R. Eucalipto; Colheita florestal; Cust; Mecanização florestal. Revista Árvore, Viçosa, v. 28, n. 2, p. 199-205, mar./abr. 2004.| Biblioteca(s): Embrapa Florestas. |
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| 172. | | CARVALHO, D. F. de; SILVA, D. G. da; SOUZA, A. P. de; GOMES, D. P.; ROCHA, H. S. da. Coeficientes da equação de Angström-Prescott e sua influência na evapotranspiração de referência em Seropédica, RJ. Revista Brasileira de Engenharia Agrícola e Ambiental, v. 15, n. 8, p. 838-844, ago., 2011.| Biblioteca(s): Embrapa Algodão. |
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| 173. | | JUNGMANN, L.; VALLE, C. B. do; PAIVA, J.; FRANCISCO, P.; SOUZA, A.; CIDADE, F.; LABORDA, P.; SOUZA, A. P. de. Characterization of germplasm diversity in Brachiaria brizantha using microsatellite markers developed for this tropical forage grass. In: SIMPÓSIO INTERNACIONAL SOBRE MELHORAMENTO DE FORRAGEIRAS, 2007, Campo Grande, MS. Palestras_resumos [do]... Campo Grande, MS: Embrapa Gado de Corte, 2007. 3 p. 1 CD-ROM. CNPGC.| Biblioteca(s): Embrapa Gado de Corte. |
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| 174. | | SILVA, Z. da; SOUZA, A. P. de; ROSA, C. A. da V. L.; PANDOLFI, J. R. C.; FONSECA, F. M. da; MARQUES, M. G. Engenharia genética em suínos: aplicações, metodologias e perspectivas futuras. Revista Científica de Avicultura e Suinocultura, v. 5, n. 1, p. 027-040, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 175. | | SOUZA, E. P. de; MENDONÇA, R. M. N.; SILVA, S. de M.; ESTRELA, M. A.; SOUZA, A. P. de; SILVA, G. C. da. Enxertia da cajazeira. Revista Brasileira de Fruticultura, Jaboticabal, v. 32, n. 1, p. 316-320, mar. 2010. Também disponível em:.| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 176. | | SOUZA, A. P. de; LIMA, M. E. de; ANDRADE, I. P. de S.; ROCHA, H. S. da; CARVALHO, D. F. de; GUERRA, J. G. M. Flutuação da umidade do solo sob diferentes resíduos vegetais usados como cobertura morta. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 17., 2008, Rio de Janeiro. Manejo e conservação do solo e da água no contexto das mudanças ambientais. Rio de Janeiro: SBCS: Embrapa Solos: Embrapa Agrobiologia, 2008. 4 p. 1 CD-ROM. (Embrapa Solos. Documentos, 101). Parceria: FCA/UNESP; UFRRJ.| Biblioteca(s): Embrapa Agrobiologia. |
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| 177. | | FERREIRA, R. C. U.; LARA, L. A. de C.; CHIARI, L.; BARRIOS, S. C. L.; VALLE, C. B. do; GARCIA, A. A. F.; SOUZA, A. P. de. The first genotyping by sequencing in an interespecific population of Urochloa decumbens. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 9., 2017, Foz de Iguaçu. Melhoramento de plantas: projetando o futuro: resumos das palestras. p. 104| Biblioteca(s): Embrapa Gado de Corte. |
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| 178. | | FARIAS, J. A.; GULIAS GOMES, C. C.; MINHO, A. P.; DOMINGUES, R.; FRANCK, B. M.; GRANADA, R. L.; SOUZA, A. P. de. Sensibilidade de larvas e teleóginas de Riphicephalus (Boophilus) microplus ao polissorbato 80. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 18., 2014, Gramado. Fronteiras da Parasitologia. Porto Alegre: UFRGS, 2014.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 179. | | CADDAH, M. K.; CAMPOS, T. de; ZUCCHI, M. I.; SOUZA, A. P. de; BITTRICH, V.; AMARAL, M. do C. E. do. Species boundaries inferred from microsatellite markers in the Kielmeyera coriacea complex (Calophyllaceae) and evidence of asymmetric hybridization. Plant Systematics and Evolution, Heidelberg, v. 299, n. 4, p. 731-741, Apr. 2013.| Biblioteca(s): Embrapa Acre. |
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| 180. | | SUPERTI, B. F. V.; SOUZA, A. P. de; MÜLLER, B. C.; SILVA, Z. da; ZANELLA, R.; ZANELLA, E. L.; MARQUES, M. G. Técnicas cirúrgicas para preparo de rufiões suínos. Suinocultura Industrial, Itu, ed. 281, ano 40, n. 02, p. 14-17, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 292 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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Data corrente: |
07/12/2021 |
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Data da última atualização: |
20/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MARTINS, F. B.; MORAES, A. C. L.; AONO, A. H.; FERREIRA, R. C. U.; CHIARI, L.; SIMEÃO, R. M.; BARRIOS, S. C. L.; SANTOS, M. F.; JANK, L.; VALLE, C. B. do; VIGNA, B. B. Z.; SOUZA, A. P. DE. |
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Afiliação: |
FELIPE BITENCOURT MARTINS, Center for Molecular Biology and Genetic Engineering; ALINE COSTA LIMA MORAES, Center for Molecular Biology and Genetic Engineering; ALEXANDRE HILD AONO, Center for Molecular Biology and Genetic Engineering; REBECCA CAROLINE ULBRICHT FERREIRA, Center for Molecular Biology and Genetic Engineering; LUCIMARA CHIARI, CNPGC; ROSANGELA MARIA SIMEAO, CNPGC; SANZIO CARVALHO LIMA BARRIOS, CNPGC; MATEUS FIGUEIREDO SANTOS, CNPGC; LIANA JANK, CNPGC; CACILDA BORGES DO VALLE, CNPGC; BIANCA BACCILI ZANOTTO VIGNA, CPPSE; ANETE PEREIRA DE SOUZA, Center for Molecular Biology and Genetic Engineering; UNICAMP. |
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Título: |
A semi-automated SNP-based approach for contaminant identification in biparental Polyploid Populations of tropical forage grasses. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v.12, article 737919, 2021. |
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Páginas: |
19 p. |
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DOI: |
https://doi.org/10.3389/fpls.2021.737919 |
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Idioma: |
Inglês |
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Conteúdo: |
Artificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made available through the polyCID Shiny app and can be easily coupled with traditional genetic approaches, such as linkage map construction, thereby increasing the efficiency of breeding programs. MenosArtificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made ava... Mostrar Tudo |
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Palavras-Chave: |
Allele dosage; Apomictic clones; Clustering analysis; GBS; Half sibling; Self fertilization; Shiny. |
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Thesaurus NAL: |
Principal component analysis. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228605/1/SemiAutomatedSNP.pdf
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Marc: |
LEADER 02794naa a2200373 a 4500
001 2138071
005 2021-12-20
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fpls.2021.737919$2DOI
100 1 $aMARTINS, F. B.
245 $aA semi-automated SNP-based approach for contaminant identification in biparental Polyploid Populations of tropical forage grasses.$h[electronic resource]
260 $c2021
300 $a19 p.
520 $aArtificial hybridization plays a fundamental role in plant breeding programs since it generates new genotypic combinations that can result in desirable phenotypes. Depending on the species and mode of reproduction, controlled crosses may be challenging, and contaminating individuals can be introduced accidentally. In this context, the identification of such contaminants is important to avoid compromising further selection cycles, as well as genetic and genomic studies. The main objective of this work was to propose an automated multivariate methodology for the detection and classification of putative contaminants, including apomictic clones (ACs), self-fertilized individuals, half-siblings (HSs), and full contaminants (FCs), in biparental polyploid progenies of tropical forage grasses. We established a pipeline to identify contaminants in genotyping-by-sequencing (GBS) data encoded as allele dosages of single nucleotide polymorphism (SNP) markers by integrating principal component analysis (PCA), genotypic analysis (GA) measures based on Mendelian segregation, and clustering analysis (CA). The combination of these methods allowed for the correct identification of all contaminants in all simulated progenies and the detection of putative contaminants in three real progenies of tropical forage grasses, providing an easy and promising methodology for the identification of contaminants in biparental progenies of tetraploid and hexaploid species. The proposed pipeline was made available through the polyCID Shiny app and can be easily coupled with traditional genetic approaches, such as linkage map construction, thereby increasing the efficiency of breeding programs.
650 $aPrincipal component analysis
653 $aAllele dosage
653 $aApomictic clones
653 $aClustering analysis
653 $aGBS
653 $aHalf sibling
653 $aSelf fertilization
653 $aShiny
700 1 $aMORAES, A. C. L.
700 1 $aAONO, A. H.
700 1 $aFERREIRA, R. C. U.
700 1 $aCHIARI, L.
700 1 $aSIMEÃO, R. M.
700 1 $aBARRIOS, S. C. L.
700 1 $aSANTOS, M. F.
700 1 $aJANK, L.
700 1 $aVALLE, C. B. do
700 1 $aVIGNA, B. B. Z.
700 1 $aSOUZA, A. P. DE
773 $tFrontiers in Plant Science$gv.12, article 737919, 2021.
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Embrapa Gado de Corte (CNPGC) |
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