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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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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
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.
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Esconder MarcMostrar Marc Completo |
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Registro original: |
Embrapa Gado de Corte (CNPGC) |
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| Registros recuperados : 87 | |
| 8. |  | SUSSEL, A. A. B.; SILVA NETO, S. P. da; MOREIRA, C. T.; ALVES, R. S.; ALMEIDA, N. J. Correlação de diferentes metodologias de avaliação da ferrugem asiática em linhagens de soja. In: CONGRESSO BRASILEIRO DE SOJA, 6., 2012, Cuiabá. Soja: integração nacional e desenvolvimento sustentável: anais. Brasília, DF: Embrapa; Londrina: Embrapa Soja, 2012. 1 CD-ROM. Editado por Adilson de Oliveira Júnior, Clara Beatriz Hoffmann-Campo, Regina Maria Villas Bôas de Campos Leite, Ricardo Vilela Abdelnoor. VI CBSoja.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Cerrados. |
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| 9. | | SUSSEL, A. A. B.; SILVA NETO, S. P. da; MOREIRA, C. T.; ALVES, R. S.; ALMEIDA, N. J. Diferentes parâmetros patométricos para avaliação da ferrugem asiática em linhagens transgênicas de soja. In: CONGRESSO BRASILEIRO DE SOJA, 6., 2012, Cuiabá. Soja: integração nacional e desenvolvimento sustentável: anais. Brasília, DF: Embrapa; Londrina: Embrapa Soja, 2012. 1 CD-ROM. Editado por Adilson de Oliveira Júnior, Clara Beatriz Hoffmann-Campo, Regina Maria Villas Bôas de Campos Leite, Ricardo Vilela Abdelnoor. VI CBSoja.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Cerrados. |
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| 13. | | TEODORO, P. E.; AZEVEDO, C. F.; FARIAS, F. J. C.; ALVES, R. S.; PEIXOTO, L. de A.; RIBEIRO, L. P.; CARVALHO, L. P. de; BHERING, L. L. Adaptability of cotton (Gossypium hirsutum) genotypes analysed using a Bayesian AMMI model. Crop and Pasture Science, v. 70, n. 7, p. 615-621, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Algodão. |
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| 14. | | CAIXETA, E. T.; RESENDE, M. D. V. de; ALKIMIM, E. R.; SOUSA, T. V.; OLIVEIRA, A. C. B. de; PEREIRA, A. A.; ALVES, R. S. Aceleração do melhoramento do cafeeiro via seleção genômica: agilidade e eficácia no lançamento de novas cultivares. Brasília, DF: Embrapa Café, 2022. 54 p. PDF. (Embrapa Café. Documentos, 17). Projeto SI04 - Genotipagem e seleção genômica em populações de melhoramento de Coffea arabica.| Biblioteca(s): Embrapa Café. |
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| 16. | | LEITE, N. S.; FERNANDES, R. P. M.; BARBOZA, S. B. S. C.; LÉDO, A. da S.; SANTOS, A. F.; ALVES, R. S. Efeito de diferentes tratamentos hidropônicos na atividade da enzima bromelina de abacaxizeiro. In: ENCONTRO DE INICIAÇÃO CIENTÍFICA, 18; ENCONTRO DE PÓS-GRADUAÇÃO, 4., 2008, São Cristóvão. Anais... São Cristóvão: UFS, 2008. Biotecnologia. 1 CD-ROM.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 17. | | ESCOBAR, J. A. D.; RESENDE, M. D. V. de; AZEVEDO, C. F.; SILVA, F. F.; BARBOSA, M. H. P.; NUNES, A. C. P.; ALVES, R. S.; NASCIMENTO, M. Teoria de valores extremos e tamanho amostral para o melhoramento genético do quantil máximo em plantas. Revista Brasileira de Biometria, Lavras, v. 36, n. 1, p. 108-127, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Florestas. |
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| 18. | | EVANGELISTA, J. S. P. C.; ALVES, R. S.; PEIXOTO, M. A.; RESENDE, M. D. V. de; TEODORO, P. E.; SILVA, F. L. da; BHERING, L. L. Soybean productivity, stability, and adaptability through mixed model methodology. Ciência Rural, v. 51, n. 2, e20200406, 2021. Título em português: Produtividade, estabilidade e adaptabilidade da soja por meio de metodologia de modelo misto.| Tipo: Artigo em Periódico Indexado |
| Biblioteca(s): Embrapa Café. |
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| 19. | | RESENDE, M. D. V. de; OLIVEIRA, A. C. B. de; CAIXETA, E. T.; ALKIMIM, E. R.; SOUSA, T. V.; PEREIRA, A. A.; ALVES, R. S.; AZEVEDO, C. F. Tamanho amostral e detecção de genes via GWAS em características quantitativas do cafeeiro. Brasília, DF: Embrapa Café, 2022. 23 p. (Embrapa Café. Circular técnica, 7).| Biblioteca(s): Embrapa Café. |
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| 20. | | CHAVES, S. F. da S.; ALVES, R. M.; ALVES, R. S.; SEBBENN, A. M.; RESENDE, M. D. V. de; DIAS, L. A. dos S. Theobroma grandiflorum breeding optimization based on repeatability, stability and adaptability information. Euphytica, v. 217, n. 12, Article number 211, Dec. 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Café. |
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| Registros recuperados : 87 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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