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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
26/07/2023 |
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Data da última atualização: |
02/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MORAIS JUNIOR, O. P.; MÜLLER, B. S. F.; VALDISSER, P. A. M. R.; BRONDANI, C.; VIANELLO, R. P. |
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Afiliação: |
ODILON PEIXOTO MORAIS JUNIOR, UNIVERSIDADE FEDERAL DE GOIÁS; BÁRBARA S. F. MÜLLER, UNIVERSITY OF FLORIDA, Gainesville, FL; PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
Genomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Crop Science, v. 63, n. 4, p. 2145-2161, July/Aug. 2023. |
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ISSN: |
0011-183X |
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DOI: |
https://doi.org/10.1002/csc2.21000 |
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Idioma: |
Inglês |
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Conteúdo: |
This work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits. MenosThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative t... Mostrar Tudo |
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Thesagro: |
Feijão; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Resistência a Seca. |
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Thesaurus Nal: |
Beans; Breeding and Genetic Improvement; Drought tolerance; Genomics. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02428naa a2200289 a 4500
001 2155303
005 2023-08-02
008 2023 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $ahttps://doi.org/10.1002/csc2.21000$2DOI
100 1 $aMORAIS JUNIOR, O. P.
245 $aGenomic prediction for drought tolerance using multienvironment data in a common bean (Phaseolus vulgaris) breeding program.$h[electronic resource]
260 $c2023
520 $aThis work evaluated the efficiency of different genomic prediction (GP) methods in a diverse Mesoamerican panel of 339 common bean accessions, genotyped with 3398 SNP markers. Field experiments were carried out for three consecutive years, with adequate water supply (non-stress?NS) and water restriction imposition (water-stress?WS), analyzing seed weight (SW) and grain yield (GY). Two methods to predict the accuracies (r?g) were adopted (GBLUP and Bayes) and also considered the environmental variation (GBLUP-based reaction norm model). Similar accuracies were observed for both methods. For GY, the highest r?g were detected under NS (rgg = 0.49) in 2016 (r?g = 0.49) and in the joint analysis for the WS condition (rgg = 0.33), both for models using local landraces. For SW under NS, the rgg was higher for the elite lines (rgg = 0.72), whereas for WS, the rgg dropped considerably, ranging from 0.45 to 0.61 for the joint analysis, considering the landraces and all samples, respectively. For GY and SW, under NS, the rgg using both models increased with increasing number of SNPs, until reaching a plateau of 800 and 300 SNPs, respectively. Increasing the training population (TP) size resulted in greater accuracy. Taking in account the Genotype × Environment, the multienvironment model performed better especially for more complex traits (GY/NS: rgg = 0.32). The GP approach has great potential to help commercial bean breeding programs improving the performance of target quantitative traits.
650 $aBeans
650 $aBreeding and Genetic Improvement
650 $aDrought tolerance
650 $aGenomics
650 $aFeijão
650 $aMelhoramento Genético Vegetal
650 $aPhaseolus Vulgaris
650 $aResistência a Seca
700 1 $aMÜLLER, B. S. F.
700 1 $aVALDISSER, P. A. M. R.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO, R. P.
773 $tCrop Science$gv. 63, n. 4, p. 2145-2161, July/Aug. 2023.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 160 | |
| 3. |  | SALIS, S. M. de. Caracterização do Pantanal Mato-grossense. In: ALBUQUERQUE, A. C. S.; SILVA, A. G. da (Ed.). Agricultura tropical: quatro décadas de inovações tecnológicas, institucionais e políticas. Brasília, DF: Embrapa Informação Tecnológica, 2008. v. 2, p. 495-502.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Pantanal. |
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| 6. | | MATTOS, P. P.; SALIS, S. M. de. Características de Pfaffia glomerata (Sprengel) Pedersen cultivada no Pantanal, sub-região do Paraguai, Corumbá, Mato Grosso do Sul. In: SIMPÓSIO SOBRE RECURSOS NATURAIS E SÓCIO-ECONÔMICOS DO PANTANAL, 4., 2004, Corumbá, MS. Sustentabilidade regional: anais. Corumbá: Embrapa Pantanal: UCDB: UFMS: SEBRAE-MS, 2004. (CD-ROM).| Biblioteca(s): Embrapa Pantanal. |
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| 7. | | MATTOS, P. P.; SALIS, S. M. de. Características de Pfaffia glomerata (Sprengel) Pedersen cultivada no Pantanal, sub-região do Paraguai, Corumbá, Mato Grosso do Sul. In: SIMPÓSIO SOBRE RECURSOS NATURAIS E SÓCIO-ECONÔMICOS DO PANTANAL, 4., 2004, Corumbá, MS. Sustentabilidade regional: anais. Corumbá: Embrapa Pantanal: UCDB: UFMS: SEBRAE-MS, 2004. CD-ROM.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Florestas. |
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| 15. | | SALIS, S. M. de; MATTOS, P. P. de. Biomass of Hymenaea stigonocarpa, a large tree species from the Brazilian savanna. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 535. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Florestas; Embrapa Pantanal. |
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| 19. | | FOSTER, R. B.; POTT, V. J.; SALIS, S. M. de. Description of the vegetation of the Rio Negro, Pantanal, Mato Grosso do Sul, Brasil. In: WILLINK, P.W.; CHERNOFF, B.; ALONSO, L.E.; MONTAMBAULT, J.R.; LOURIVAL, R., ed. A Biological assessment of the aquatic ecosystem of the Pantanal, Mato Grosso do Sul, Brasil. Washington, DC: Conservation International, 2000. capitulo 3, p.44-48. (Conservation International. RAP Bulletin of Biological Assessement, 18). Titulo em portugues: Descricao da vegetacao do Rio Negro, Pantanal: Mato Grosso do sul, Brasil. AQUARAP 1998.| Biblioteca(s): Embrapa Pantanal. |
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| Registros recuperados : 160 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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