| |
|
|
| Registros recuperados : 670 | |
| 581. |  | 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. |
|    |
| 582. | | RESENDE, R. T.; CARNEIRO, A. de C. O.; FERREIRA, R. A. D. C.; KUKI, K. N.; TEIXEIRA, R. U.; ZAIDAN, U. R.; SANTOS, R. D.; LEITE, H. G.; RESENDE, M. D. V. de. Air-drying of eucalypts logs: Genetic variations along time and stem profile. Industrial Crops and Products, v 124, p. 316-324, Nov. 2018.| Biblioteca(s): Embrapa Florestas. |
| |
| 583. | | GLÓRIA, L. S.; CRUZ, C. D.; VIEIRA, R. A. M.; RESENDE, M. D. V. de; LOPES, P. S.; SIQUEIRA, O. H. G. B. D. de; SILVA, F. F. e. Accessing marker effects and heritability estimates from genome prediction by Bayesian regularized neural networks. Livestock Science, v. 191, p. 91-96, Sept. 2016.| Biblioteca(s): Embrapa Florestas. |
| |
| 584. | | RESENDE JUNIOR, M. F. R.; MUÑOZ, P.; RESENDE, M. D. V. de; GARRICK, D. J.; FERNANDO, R. L.; DAVIS, J. M.; JOKELA, E. J.; MARTIN, T. A.; PETER, G. F.; KIRST, M. Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.) Genetics, v. 190, p. 1503-1510, April 2012.| Biblioteca(s): Embrapa Florestas. |
| |
| 585. | | MAIA, M. C. C.; RESENDE, M. D. V. de; OLIVEIRA, L. C. de; ALVES, R. M.; SILVA FILHO, J. L. da; ROCHA, M. de M.; CAVALCANTE, J. J. V.; RONCATTO, G. Análise genética de famílias de meios-irmãos de cupuaçuzeiro. Pesquisa Florestal Brasileira, Colombo, v. 31, n. 66, p. 123-130, abr./jun. 2011.| Biblioteca(s): Embrapa Acre; Embrapa Algodão; Embrapa Amazônia Oriental; Embrapa Florestas; Embrapa Meio-Norte. |
|  |
| 586. | | SIMEÃO, R. M.; RAPOSO, A.; VILELA, M. de M.; MARTINS, F. B.; RESENDE, M. D. V. de; BARRIOS, S. C. L.; MEIRELES, K. G. X.; VALLE, C. B. do; JANK, L.; SANTOS, M. F.; SOUSA, A. P. de. Melhoramento genético de Brachiaria ruziziensis Germain & Evrard (sin. Urochloa ruziziensis) autotetraploide: resultados do segundo ciclo de seleção intrapopulacional e estratégias para aumentar a eficiência da seleção. Campo Grande, MS: Embrapa Gado de Corte, 2022. (Embrapa Gado de Corte. Boletim de Pesquisa e Desenvolvimento, 50).| Biblioteca(s): Embrapa Gado de Corte. |
| |
| 587. | | PINTO JUNIOR, J. E.; SANTOS, P. E. T. dos; AGUIAR, A. V. de; KALIL FILHO, A. N.; PALUDZYSZYN FILHO, E.; STURION, J. A.; RESENDE, M. D. V. de; SOUSA, V. A. de. Melhoramento genético de espécies arbóreas na Embrapa Florestas: uma visão histórica. Colombo: Embrapa Florestas, 2013. 109 p. (Embrapa Florestas. Documentos, 259).| Biblioteca(s): Embrapa Florestas. |
| |
| 588. | | RESENDE, R. M. S.; VALLE, C. B. do; RESENDE, M. D. V. de; MEDEIROS, S. R. de; SILVA, A. S.; RAGALZI, C. de M.; JANK, L.; BARRIOS, S. C. L.; SANTOS, M. F. Melhoramento de Brachiaria ruziziensis Germain & Evrard (sin. Urochloa ruziziensis) autotetraploide: resultados da avaliação genética de subpopulações, progênies e indivíduos. Brasília, DF: Embrapa, 2016. 30 p. (Embrapa Gado de Corte. Boletim de Pesquisa e Desenvolvimento, 37).| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Corte. |
| |
| 589. | | ALMEIDA FILHO, J. E.; TARDIN, F. D.; GUIMARAES, J. F. R.; RESENDE, M. D. V.; SILVA, F. F.; SIMEONE, M. L. F.; MENEZES, C. B. de; QUEIROZ, V. A. V. Multi-trait BLUP model indicates sorghum hybrids with genetic potential for agronomic and nutritional traits. Genetics and Molecular Research, Ribeirão Preto, v. 15, n. 1, p. 1-9, 2016.| Biblioteca(s): Embrapa Florestas; Embrapa Milho e Sorgo. |
| |
| 590. | | FERREIRA, F. M.; CHAVES, S. F. da S.; PEIXOTO, M. A.; ALVES, R. S.; COELHO, I. F.; RESENDE, M. D. V. de; SANTOS, G. A. dos; BHERING, L. L. Multi-trait multi-environment models for selecting high-performance and stable eucalyptus clones. Acta Scientiarum. Agronomy, v. 45, e61626, 2023. 9 p.| Biblioteca(s): Embrapa Café. |
| |
| 591. | | FERREIRA, F. M.; EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; ALVES, R. S.; SILVA, D. B.; MALIKOUSKI, R. G.; RESENDE, M. D. V. de; BHERING, L. L.; SANTOS, G. A. Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Bragantia, v. 81, e2922, 2022. 11 p.| Biblioteca(s): Embrapa Café. |
| |
| 592. | | ALVES, R. S.; TEODORO, P. E.; PEIXOTO, L. de A.; ROCHA, J. R. do A. S. de C.; SILVA, L. A.; LAVIOLA, B. G.; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. Industrial Crops & Products, v.130, p. 558-561, 2019.| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
| |
| 593. | | 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. |
| |
| 594. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F; ALVES, R. A.; LAVIOLA, B. G.; SILVA, F. F. e; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. PLOS ONE , v. 16, n. 3, e0247775, Mar. 2021. 16| Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
| |
| 595. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; CALDERANO, A. A.; LOPES, P. S.; VIANA, J. M. S.; SILVA, F. F. A note on transgenerational epigenetics affecting egg quality traits in meat-type quail. British Poultry Science, v. 59, n. 6, p. 624-628, 2018. Short Communication.| Biblioteca(s): Embrapa Florestas. |
| |
| 596. | | BASTOS, I. T.; BARBOSA, M. H. P.; RESENDE, M. D. V. de; PEDROZO, C. A.; MELO, C. G.; PETERNELLI, L. A.; COSTA, P. M. de A.; XAVIER, C. V.; BAFFA, C. F. Correlation among predicted genotypic values and adaptability and stability estimates of sugarcane clones in a mixed models context. Scientia Agraria, Curitiba, v. 10, n. 2, p. 111-118, Mar./Abr. 2009.| Biblioteca(s): Embrapa Florestas. |
| |
| 597. | | CORRÊA, T. R.; PICOLI, E. A. de T.; SOUZA, G. A. de; CONDÉ, S. A.; SILVA, N. M.; LOPES-MATTOS, K. L. B.; RESENDE, M. D. V. de; ZAUZA, E. A. V.; ODA, S. Phenotypic markers in early selection for tolerance to dieback in Eucalyptus. Industrial Crops and Products, v. 107, p. 130-138, 2017.| Biblioteca(s): Embrapa Florestas. |
| |
| 598. | | GOMES JUNIOR, R. A.; SILVA, M. P. da; SANTOS, R. F. S. dos; PINA, A. J. de A.; QUARESMA, C. E.; CUNHA, R. N. V. da; LOPES, R.; RESENDE, M. D. V. de. Parâmetros genéticos e ganho na seleção em população de híbridos interespecíficos entre caiaué e dendê. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: SBMP: UFG, 2015.| Biblioteca(s): Embrapa Amazônia Ocidental. |
| |
| 599. | | GOMES JUNIOR, R. A.; SILVA, M. P. da; SANTOS, R. F. S. dos; PINA, A. J. de A.; QUARESMA, C. E.; CUNHA, R. N. V. da; LOPES, R.; RESENDE, M. D. V. de. Parâmetros genéticos e ganho na seleção em população de híbridos interespecíficos entre caiaué e dendê. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: SBMP: UFG, 2015. Resumo.| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Florestas. |
| |
| 600. | | SOARES, B. O.; JUHASZ, A. C. P.; PIMENTA, S.; RABELLO, H. de O.; RESENDE, M. D. V. de; COSTA, M. R.; NOBRE, D. A. C.; SOUZA, D. A. de. Pârametros genéticos da primeira produção de 88 famílias de meios irmãos de Jatropha curcas. In: CONGRESSO BRASILEIRO DE PESQUISA EM PINHÃO MANSO, 1., 2009, Brasília, DF. Pesquisa, desenvolvimento e inovação: tecnologia para biocombústiveis: anais. São Paulo: ABPPM; Brasília, DF: Embrapa Agroenergia, 2009.| Biblioteca(s): Embrapa Cerrados. |
| |
| Registros recuperados : 670 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Café; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite. |
|
Data corrente: |
17/05/2021 |
|
Data da última atualização: |
19/01/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
SIMEÃO, R. M.; RESENDE, M. D. V. de; ALVES, R. S.; PESSOA FILHO, M. A. C. de P.; AZEVEDO, A. L. S.; JONES, C. S.; PEREIRA, J. F.; MACHADO, J. C. |
|
Afiliação: |
ROSANGELA MARIA SIMEAO, CNPGC; MARCOS DEON VILELA DE RESENDE, CNPCa; RODRIGO S. ALVES, Instituto Nacional de Ciência e Tecnologia do Café, Universidade Federal de Viçosa, Viçosa, Brasil; MARCO AURELIO CALDAS DE PINHO PESSO, CPAC; ANA LUISA SOUSA AZEVEDO, CNPGL; CHRIS S. JONES, International Livestock Research Institute, Nairobi, Kenya; JORGE FERNANDO PEREIRA, CNPGL; JUAREZ CAMPOLINA MACHADO, CNPGL. |
|
Título: |
Genomic selection in tropical forage grasses: current status and future applications. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Frontiers in Plant Science, 2021. |
|
DOI: |
https://doi.org/10.3389/fpls.2021.665195 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS in TFG breeding programs remains unclear. The development of appropriately sized training populations is essential for the evaluation and validation of selection markers based on estimated breeding values. Large panels of single-nucleotide polymorphism markers in different tropical forage species are required for multiple application targets at a reduced cost. In this context, this review highlights the current challenges, achievements, availability, and development of genomic resources and statistical methods for the implementation of GS in TFGs. Additionally, the prediction accuracies from recent experiments and the potential to harness diversity from genebanks are discussed. Although, GS in TFGs is still incipient, the advances in genomic tools and statistical models will speed up its implementation in the foreseeable future. All TFG breeding programs should be prepared for these changes. MenosThe world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS i... Mostrar Tudo |
|
Palavras-Chave: |
ELEPHANT GRASS; FORAGE BREEDING; GUINEA GRASS; Seleção assistida; Seleção genômica. |
|
Thesagro: |
Apomixia; Brachiaria; Gramínea; Poliploidia. |
|
Thesaurus NAL: |
Apomixis; Marker-assisted selection; Polyploidy. |
|
Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/223263/1/Simeao-FrontiersPlantSci-2021.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224964/1/Genomic-selection-tropical.pdf
|
|
Marc: |
LEADER 03430naa a2200361 a 4500
001 2131851
005 2022-01-19
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3389/fpls.2021.665195$2DOI
100 1 $aSIMEÃO, R. M.
245 $aGenomic selection in tropical forage grasses$bcurrent status and future applications.$h[electronic resource]
260 $c2021
520 $aThe world population is expected to be larger and wealthier over the next few decades and will require more animal products, such as milk and beef. Tropical regions have great potential to meet this growing global demand, where pasturelands play a major role in supporting increased animal production. Better forage is required in consonance with improved sustainability as the planted area should not increase and larger areas cultivated with one or a few forage species should be avoided. Although, conventional tropical forage breeding has successfully released well-adapted and high-yielding cultivars over the last few decades, genetic gains from these programs have been low in view of the growing food demand worldwide. To guarantee their future impact on livestock production, breeding programs should leverage genotyping, phenotyping, and envirotyping strategies to increase genetic gains. Genomic selection (GS) and genomewide association studies play a primary role in this process, with the advantage of increasing genetic gain due to greater selection accuracy, reduced cycle time, and increased number of individuals that can be evaluated. This strategy provides solutions to bottlenecks faced by conventional breeding methods, including long breeding cycles and difficulties to evaluate complex traits. Initial results from implementing GS in tropical forage grasses (TFGs) are promising with notable improvements over phenotypic selection alone. However, the practical impact of GS in TFG breeding programs remains unclear. The development of appropriately sized training populations is essential for the evaluation and validation of selection markers based on estimated breeding values. Large panels of single-nucleotide polymorphism markers in different tropical forage species are required for multiple application targets at a reduced cost. In this context, this review highlights the current challenges, achievements, availability, and development of genomic resources and statistical methods for the implementation of GS in TFGs. Additionally, the prediction accuracies from recent experiments and the potential to harness diversity from genebanks are discussed. Although, GS in TFGs is still incipient, the advances in genomic tools and statistical models will speed up its implementation in the foreseeable future. All TFG breeding programs should be prepared for these changes.
650 $aApomixis
650 $aMarker-assisted selection
650 $aPolyploidy
650 $aApomixia
650 $aBrachiaria
650 $aGramínea
650 $aPoliploidia
653 $aELEPHANT GRASS
653 $aFORAGE BREEDING
653 $aGUINEA GRASS
653 $aSeleção assistida
653 $aSeleção genômica
700 1 $aRESENDE, M. D. V. de
700 1 $aALVES, R. S.
700 1 $aPESSOA FILHO, M. A. C. de P.
700 1 $aAZEVEDO, A. L. S.
700 1 $aJONES, C. S.
700 1 $aPEREIRA, J. F.
700 1 $aMACHADO, J. C.
773 $tFrontiers in Plant Science, 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Corte (CNPGC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
