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| Registros recuperados : 63 | |
| 43. |  | SANTOS, M. V. C. dos; NASCIMENTO, P. T.; SIMEONE, M. L. F.; LIMA, P. F.; SIMEÃO, R. M.; AUAD, A. M.; OLIVEIRA, I. R. de; MENDES, S. M. Performance of fall armyworm preimaginal development on cultivars of tropical grass forages. Insects, v. 13, 1139, 2022.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Gado de Leite; Embrapa Milho e Sorgo. |
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| 44. | | NONATO, T. B.; JANK, L.; SANTOS, M. F.; CAMPOS, G. F.; SANTANA, S. T.; BARRIOS, S. C. L.; VALLE, C. B. do; SIMEÃO, R. M. Seleção de híbridos de panicum maximum Jacq. candidatos a lançamento. In: WORKSHOP MELHORAMENTO VEGETAL: CONTRIBUIÇÕES, AVANÇOS E PERSPECTIVAS PARA O CERRADO BRASILEIRO, 2., 2016. Anais... Campo Grande, MS: SBMP, 2016.| Biblioteca(s): Embrapa Gado de Corte. |
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| 45. | | SANTANA, S. T.; JANK, L.; SANTOS, M. F.; NONATO, T. B.; CAMPOS, G. F.; VALLE, C. B. do; BARRIOS, S. C. L.; SIMEÃO, R. M. Seleção no melhoramento de Panicum maximum Jacq. visando ao aumento da produção na seca. In: WORKSHOP MELHORAMENTO VEGETAL: CONTRIBUIÇÕES, AVANÇOS E PERSPECTIVAS PARA O CERRADO BRASILEIRO, 2., 2016. Anais... Campo Grande, MS: SBMP, 2016.| Biblioteca(s): Embrapa Gado de Corte. |
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| 47. | | SILVEIRA, E. S.; SANTOS, M. F.; CARROMEU, C.; JANK, L.; BARRIOS, S. C. L.; VALLE, C. B. do; SIMEÃO, R. M. Utilização de drone com diferentes Ground Sample Distance para obtenção de dados fenotípicos de forrageiras. In: JORNADA CIENTÍFICA EMBRAPA GADO DE CORTE, 15., 2019, Campo Grande, MS. [Resumos dos trabalhos...]. Brasília, DF: Embrapa, 2019 80 p. (Embrapa Gado de Corte. Documentos, 264). Comitê Organizador: Marlene de Barros Coelho; Lenita Ramires dos Santos; Rodrigo Carvalho Alva; Lucimara Chiari; Thais Basso Amaral. 30-31| Biblioteca(s): Embrapa Gado de Corte. |
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| 48. | | SILVEIRA, M. C. T. da; SANTOS, F. C. dos; ALBUQUERQUE FILHO, M. R. de; ALMEIDA, R. G. de; ALVES, F. V.; VILELA, L.; BARBOSA, T. A.; PINTO, C. F.; FEIJO, G. L. D.; SIMEÃO, R. M. Beef production with low carbon emission in Tropical pastures: a case study for the validation of guidelines. In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. Proceedings reference... Brasília, DF: Embrapa, 2021. p. 128-133. WCCLF. Evento online.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Pecuária Sul. |
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| 49. | | SILVEIRA, M. C. T. da; SANTOS, F. C. dos; ALBUQUERQUE FILHO, M. R. de; ALMEIDA, R. G. de; ALVES, F. V.; VILELA, L.; BARBOSA, T. A.; PINTO, C. F.; FEIJO, G. L. D.; SIMEÃO, R. M. Beef production with low carbon emission in tropical pastures: a case study for the validation of guidelines. In: CONGRESSO MUNDIAL SOBRE SISTEMAS DE INTEGRAÇÃO LAVOURA-PECUÁRIA-FLORESTA, 2., 2021. Anais... Brasília, DF: Ministério da Agricultura, Pecuária e Abastecimento: Embrapa, 2021. Evento online. 169| Biblioteca(s): Embrapa Gado de Corte. |
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| 50. | | 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. A semi-automated SNP-based approach for contaminant identification in biparental Polyploid Populations of tropical forage grasses. Frontiers in Plant Science, v.12, article 737919, 2021. 19 p.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Pecuária Sudeste. |
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| 51. | | MARTINS, F. B.; AONO, A. H.; MORAES, A. da C. L.; FERREIRA, R. C. U.; VILELA, M. de M.; PESSOA FILHO, M. A. C. de P.; RODRIGUES-MOTTA, M.; SIMEÃO, R. M.; SOUZA, A. P. de. Genome-wide family prediction unveils molecular mechanisms underlying the regulation of agronomic traits in Urochloa ruziziensis. Frontiers in Plant Science, v. 14, 2023. Na publicação: Marco Pessoa-Filho.| Biblioteca(s): Embrapa Cerrados; Embrapa Gado de Corte. |
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| 53. | | JANK, L.; ANDRADE, C. M. S. de; BARBOSA, R. A.; MACEDO, M. C. M.; VALERIO, J. R.; VERZIGNASSI, J. R.; ZIMMER, A. H.; FERNANDES, C. D.; SANTOS, M. F.; SIMEÃO, R. M. O capim-BRS Quênia (Panicum maximum Jacq.) na diversificação e intensificação das pastagens. Brasília, DF: Embrapa, 2017. (Embrapa Gado de Corte. Comunicado técnico, 138).| Biblioteca(s): Embrapa Acre; Embrapa Gado de Corte. |
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| 54. | | SILVEIRA, M. C. T. da; SIMEÃO, R. M.; LEANDRO, T. T.; RIBEIRO, A. C. G.; GONTIJO NETO, M. M.; SOUSA, S. M. de; PARRELLA, R. A. da C.; TARDIN, F. D. Caracterização da produção de forragem de cultivares tropicais anuais em resposta a diferentes estratégias de manejo e aprimoramento de uso. Bagé: Embrapa Pecuária Sul, 2024. 26 p. (Embrapa Pecuária Sul. Boletim de pesquisa e desenvolvimento, 57)| Biblioteca(s): Embrapa Pecuária Sul. |
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| 55. | | JANK, L.; ANDRADE, C. M. S. de; MACIEL, G. A.; BARBOSA, R. A.; BRAGA, G. J.; MACEDO, M. C. M.; VALÉRIO, J. R.; VERZIGNASSI, J. R.; ZIMMER, A. H.; FERNANDES, C. D.; SANTOS, M. F.; SIMEÃO, R. M. BRS Quênia and BRS Tamani: new Panicum maximum Jacq. hybrid cultivars in Brazil. In: INTERNATIONAL GRASSLAND CONGRESS, 24., INTERNATIONAL RANGELAND CONGRESS, 11., 2020, Kenya. Sustainable use of grassland and rangeland resources for improved livelihoods. Proceedings... Kenya: Kenya Agricultural and Livestock Research Organization, 2021. p. 218-222.| Biblioteca(s): Embrapa Cerrados. |
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| 56. | | JANK, L.; ANDRADE, C. M. S. de; MACIEL, G. A.; BARBOSA, R. A.; BRAGA, G. J.; MACEDO, M. C. M.; VALÉRIO, J. R.; VERZIGNASSI, J. R.; ZIMMER, A. H.; FERNANDES, C. D.; SANTOS, M. F.; SIMEÃO, R. M. BRS Quênia and BRS Tamani: new Panicum maximum Jacq. hybrid cultivars in Brazil. In: INTERNATIONAL GRASSLAND CONGRESS, 24., INTERNATIONAL RANGELAND CONGRESS, 11., 2020, Kenya. Sustainable use of grassland and rangeland resources for improved livelihoods. Proceedings... Kenya: Kenya Agricultural and Livestock Research Organization, 2021. p. 218-222.| Biblioteca(s): Embrapa Acre; Embrapa Gado de Corte. |
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| 57. | | SIMEÃO, R. M.; SILVA, D. D. da; SANTOS, F. C. dos; VILELA, L.; SILVEIRA, M. C. T. da; RESENDE, A. C.; ALBUQUERQUE, P. E. P. de; BARBOSA, T. A.; PINTO, C. F. Forrageiras para pastejo, para cobertura e suas combinações para plantio direto do sorgo nos solos arenosos no Oeste da Bahia. Campo Grande, MS : Embrapa Gado de Corte, 2021. (Embrapa Gado de Corte / Comunicado Técnico, 160).| Biblioteca(s): Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Milho e Sorgo; Embrapa Pecuária Sul. |
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| 58. | | 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. |
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| 59. | | LEANDRO, T. T.; RIBEIRO, A. C. G.; SIMEÃO, R. M.; SANTOS, F. C. dos; ALMEIDA, R. G. de; VILELA, L.; ALBUQUERQUE FILHO, M. R. de; SILVEIRA, M. C. T. DA. Produção de forragem e cobertura do solo do capim Piatã em área de ILPF no oeste da Bahia. In: CONGRESSO BRASILEIRO DE ZOOTECNIA, 32., 2023. Resumos... Natal, 2023. Zootec2023.| Biblioteca(s): Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Milho e Sorgo; Embrapa Pecuária Sul. |
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| 60. | | OLIVEIRA, G. S. de; MARCATO JUNIOR, J.; POLIDORO, C.; OSCO, L. P.; SIQUEIRA, H.; RODRIGUES, L.; JANK, L.; BARRIOS, S. C. L.; VALLE, C.; SIMEÃO, R. M.; CARROMEU, C.; SILVEIRA, E.; JORGE, L. A. de C.; GONÇALVES, W.; SANTOS, M. F.; MATSUBARA, E. Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing. Sensors, v. 21, n. 3971, 2021.| Biblioteca(s): Embrapa Gado de Corte; Embrapa Instrumentação. |
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| Registros recuperados : 63 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café; Embrapa Cerrados; Embrapa Gado de Corte; Embrapa Gado de Leite. |
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Data corrente: |
17/05/2021 |
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Data da última atualização: |
19/01/2022 |
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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: |
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. |
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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. |
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Título: |
Genomic selection in tropical forage grasses: current status and future applications. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Frontiers in Plant Science, 2021. |
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DOI: |
https://doi.org/10.3389/fpls.2021.665195 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
ELEPHANT GRASS; FORAGE BREEDING; GUINEA GRASS; Seleção assistida; Seleção genômica. |
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Thesagro: |
Apomixia; Brachiaria; Gramínea; Poliploidia. |
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Thesaurus NAL: |
Apomixis; Marker-assisted selection; Polyploidy. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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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
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Marc: |
LEADER 03430naa a2200361 a 4500
001 2131851
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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.
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Embrapa Gado de Corte (CNPGC) |
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