| |
|
|
| Registros recuperados : 95 | |
| 61. |  | RESENDE, M. D. V. de; RAMALHO, M. A. P.; CARNEIRO, P. C. S.; CARNEIRO, J. E. S.; BATISTA, L. G.; GOIS, I. B. Selection index with parents, populations, progenies, and generations effects in Autogamous plant breeding. Crop Science, v. 56, n. 2, p. 530-546, Mar./Apr. 2016.| Biblioteca(s): Embrapa Florestas. |
|    |
| 62. | | ROCHA, J. R. Do A. S. De C.; CARNEIRO, P. C. S.; MACHADO, J. C.; ASSIS, E. E. R. De; CARNEIRO, J. da C. Seleção de caracteres morfo-agronômicos para obtenção de ganhos em qualidade da biomassa em capim-elefante para a produção de bioenergia. In: SIMPÓSIO DE INTEGRAÇÃO ACADÊMICA, 7., 2016, Viçosa. Fome e abundância: um paradoxo brasileiro? Viçosa, MG: Universidade Federal de Viçosa, 2016.| Biblioteca(s): Embrapa Gado de Leite. |
|  |
| 63. | | MARIM, B. G.; SILVA, D. J. H. da; CARNEIRO, P. C. S.; MIRANDA, G. V.; MATTEDI, A. P.; CALIMAN, F. R. B. Variabilidade genética e importância relativa de caracteres em acessos de germoplasma de tomateiro. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 10, p. 1283-1290, out. 2009. Título em inglês: Genetic variability and relative importance of characters in tomato germoplasm accessions .| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Unidades Centrais. |
| |
| 64. | | BERNARDINO, K. C.; MENEZES, C. B. de; SOUSA, S. M. de; GUIMARÃES, C. T.; CARNEIRO, P. C. S.; SCHAFFERT, R. E.; KOCHIAN, L. V.; HUFNAGEL, B.; PASTINA, M. M.; MAGALHAES, J. V. de. Association mapping and genomic selection for sorghum adaptation to tropical soils of Brazil in a sorghum multiparental random mating population. Theoretical and Applied Genetics, v. 134, p. 295-312, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 65. | | SILVA, G. N.; NASCIMENTO, M.; SANT'ANNA, I. de C.; CRUZ, C. D.; CAIXETA, E. T.; CARNEIRO, P. C. S.; ROSADO, R. D. S.; PESTANA, K. N.; ALMEIDA, D. P. de; OLIVEIRA, M. da S. Artificial neural networks compared with Bayesian generalized linear regression for leaf rust resistance prediction in Arabica coffee. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 52, n. 3, p. 186-193, mar. 2017. Título em português: Redes neurais artificiais comparadas com modelos lineares generalizados sob o enfoque bayesiano para predição de resistência à ferrugem em café arábica.| Biblioteca(s): Embrapa Café; Embrapa Unidades Centrais. |
| |
| 67. | | OLIVEIRA, I. C. M.; MARÇAL, T. de S.; BERNARDINO, K. da C.; RIBEIRO, P. C. de O.; PARRELLA, R. A. da C.; CARNEIRO, P. C. S.; SCHAFFERT, R. E.; CARNEIRO, J. E. de S. Combining ability of biomass sorghum lines for agroindustrial characters and multitrait selection of photosensitive hybrids for energy cogeneration. Crop Science, v. 59, p. 1554-1566, 2019.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 68. | | MELO, C. L. P. de; RAGAGNIN, V. A.; ARRUDA, K. M. A.; BARROS, E. G. de; CARNEIRO, P. C. S.; PAULA JÚNIOR, T. J. de; MOREIRA, M. A.; CARNEIRO, J. E. de S. Caracterização fenótípica e molecular de genitores de feijão em tipo carioca quanto à resistência a patógenos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 43, n. 4, p. 495-504, abr. 2008.| Biblioteca(s): Embrapa Agropecuária Oeste; Embrapa Unidades Centrais. |
| |
| 69. | | SILVA, J. O. da C. e; BRUCKNER, C. H.; CARNEIRO, P. C. S.; RESENDE, M. D. V. de; ALVES, R. S.; RIBEIRO, M. R.; SILVA, D. F. P. da. Clonal selection in S0 and S1 peach trees evaluated in a subtropical environment. Crop Breeding and Applied Biotechnology, v. 21, n. 1, e33012111, 2021.| Biblioteca(s): Embrapa Café. |
| |
| 70. | | ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p.| Biblioteca(s): Embrapa Florestas. |
| |
| 71. | | SILVA, L. C.; BATISTA, R. O.; ANJOS, R. S. R.; SOUZA, M. H.; CARNEIRO, P. C. S.; SOUZA, T. L. P. O.; BARROS, E. G.; CARNEIRO, J. E. S. Morphoagronomic characterization and genetic diversity of a common bean RIL mapping population derived from the cross Rudá x AND 277. Genetics and Molecular Research, v. 15, n. 3, gmr15038112, Jul. 2016.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 72. | | SILVA, L. C. da; MOURA, L. M.; BARILI, L. D.; VALE, N. M. do; SOUZA, T. L. P. O.; CARNEIRO, P. C. S.; BARROS, E. G. de; CARNEIRO, J. E. de S. Phenotypic characterization of the rudá x and 277 common bean ril population. Annual Report of the Bean Improvement Cooperative, Prosser, v. 57, p. 289-290, Mar. 2014.| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| 73. | | SILVA, M. J. da; PASTINA, M. M.; SOUZA, V. F. de; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; NODA, R. W.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, R. A. da C. Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. Plos One, San Francisco, v. 12, n. 8, p. 1-19, 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 74. | | SILVA, M. J. da; PASTINA, M. M.; SOUZA, V. F. de; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; NODA, R. W.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, R. A. da C. Phenotypic and molecular characterization of sweet sorghum accessions for bioenergy production. In: SORGHUM IN THE 21st CENTURY, Cape Town, 2018. Food, feed and fuel in a rapidly changing world: abstracts. Cape Town: [s.n], 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 75. | | ROCHA, J. R. do A. S. de C.; MACHADO, J. C.; CARNEIRO, P. C. S.; CARNEIRO, J. da C.; RESENDE, M. D. V. de; PEREIRA, A. V.; CARNEIRO, J. E. de S. Elephant grass ecotypes for bioenergy production via direct combustion of biomass. Industrial Crops and Products, v. 95, p. 27-32, 2017.| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Leite. |
| |
| 76. | | SILVA, M. J. da; CARNEIRO, P. C. S.; CARNEIRO, J. E. de S.; DAMASCENO, C. M. B.; PARRELLA, N. N. L. D.; PASTINA, M. M.; SIMEONE, M. L. F.; SCHAFFERT, R. E.; PARRELLA, R. A. da C. Evaluation of the potential of lines and hybrids of biomass sorghum. Industrial Crops and Products, v. 125, p. 379-385, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 77. | | RIBEIRO, P. C. de O.; MARÇAL, T. de S.; OLIVEIRA, I. C. M.; SCHAFFERT, R. E.; CARNEIRO, P. C. S.; OLIVEIRA, A. B. de; PARRELLA, R. A. da C. Insight into genetic potential of male sterile sweet sorghum A-lines for agroindustrial traits using tester R-lines. Industrial Crops and Products, v. 153, article 112557, 2020.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 78. | | MELO, C. L.; CARNEIRO, J. E. de S.; PEREIRA, A. C.; CINTRA, J. E. V.; SILVA, L. C. da; CARNEIRO, P. C. S.; CRUZ, C. D.; BARROS, E. G. de. Predição do potencial genético de populações segregantes de feijão do tipo carioca. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 4., 2007, São Lourenço. Melhoramento de plantas e agronegócio: anais. São Lourenço: Sociedade Brasileira de Melhoramento de Plantas, 2007. 1 CD-ROM.| Biblioteca(s): Embrapa Agropecuária Oeste. |
| |
| 79. | | VOLPATO, L.; SIMOQUELI, G. F.; ALVES, R. S.; ROCHA, J. R. do A. S. de C.; DEL CONTE, M. V.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; SILVA, F. L. da. Selection of inbred soybean progeny (Glycine max): an approach with population effect. Plant Breeding, v. 137, n. 6, p. 865-872, Dec. 2018.| Biblioteca(s): Embrapa Florestas. |
| |
| 80. | | RODRIGUES, E. V.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; TEODORO, P. E.; LAVIOLA, B. G.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; BHERING, L. L. Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020.| Biblioteca(s): Embrapa Agroenergia. |
| |
| Registros recuperados : 95 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas; Embrapa Gado de Leite. |
|
Data corrente: |
16/12/2019 |
|
Data da última atualização: |
16/12/2019 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
ROCHA, J. R. do A. S. de C.; MARÇAL, T. de S.; SALVADOR, F. V.; SILVA, A. C. da; CARNEIRO, P. C. S.; RESENDE, M. D. V. de; CARNEIRO, J. da C.; AZEVEDO, A. L. S.; PEREIRA, J. F.; MACHADO, J. C. |
|
Afiliação: |
João Romero do Amaral Santos de Carvalho Rocha, UFV; Tiago de Souza Marçal, UFV; Felipe Vicentino Salvador, UFV; Adriel Carlos da Silva, UFV; Pedro Crescencio Souza Carneiro, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; JAILTON DA COSTA CARNEIRO, CNPGL; ANA LUISA SOUSA AZEVEDO, CNPGL; JORGE FERNANDO PEREIRA, CNPGL; JUAREZ CAMPOLINA MACHADO, CNPGL. |
|
Título: |
Unraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus). |
|
Ano de publicação: |
2019 |
|
Fonte/Imprenta: |
BMC Plant Biology, v. 19, article 548, 2019. 12 p. |
|
DOI: |
10.1186/s12870-019-2180-5 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Background: 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. MenosBackground: 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 ... Mostrar Tudo |
|
Palavras-Chave: |
Gene annotation; Napier grass; SSR marker; Trait-marker association. |
|
Thesagro: |
Biomassa; Capim Elefante; Digestibilidade; Pennisetum Purpureum. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/207097/1/2019-M.Deon-BMCPB-Unraveling.pdf
|
|
Marc: |
LEADER 03082naa a2200337 a 4500
001 2116956
005 2019-12-16
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1186/s12870-019-2180-5$2DOI
100 1 $aROCHA, J. R. do A. S. de C.
245 $aUnraveling candidate genes underlying biomass digestibility in elephant grass (Cenchrus purpureus).$h[electronic resource]
260 $c2019
520 $aBackground: 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.
650 $aBiomassa
650 $aCapim Elefante
650 $aDigestibilidade
650 $aPennisetum Purpureum
653 $aGene annotation
653 $aNapier grass
653 $aSSR marker
653 $aTrait-marker association
700 1 $aMARÇAL, T. de S.
700 1 $aSALVADOR, F. V.
700 1 $aSILVA, A. C. da
700 1 $aCARNEIRO, P. C. S.
700 1 $aRESENDE, M. D. V. de
700 1 $aCARNEIRO, J. da C.
700 1 $aAZEVEDO, A. L. S.
700 1 $aPEREIRA, J. F.
700 1 $aMACHADO, J. C.
773 $tBMC Plant Biology$gv. 19, article 548, 2019. 12 p.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
