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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: |
17/07/2022 |
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Data da última atualização: |
22/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
HEINEMANN, A. B.; COSTA-NETO, G; FRITSCHE-NETO, R.; MATTA, D. H. da; FERNANDES, I. K. |
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Afiliação: |
ALEXANDRE BRYAN HEINEMANN, CNPAF; GERMANO COSTA-NETO, Cornell University, Ithaca-NY; ROBERTO FRITSCHE-NETO, ESALQ; DAVID HENRIQUES DA MATTA, UFG; IGOR KUIVJOGI FERNANDES, UFG. |
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Título: |
Enviromic prediction is useful to define the limits of climate adaptation: a case study of common bean in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Field Crops Research, v. 286, 108628, Oct. 2022. |
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ISSN: |
0378-4290 |
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DOI: |
https://doi.org/10.1016/j.fcr.2022.108628 |
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Idioma: |
Inglês |
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Conteúdo: |
Ongoing changes in the global environmental conditions foster plant breeding research to develop climate-smart cultivars as fast as possible. Data analytics are essential for achieving this goal, especially the so-called science of enviromics (large-scale environmental characterization of crop growing conditions) that could be used to pinpoint the relevant environment impacts driving the adaptation of a certain specie in a breeding framework. Here we quantified the effects of diverse climate factors on the current adaptation of elite common bean germplasm in Brazil. To capture the non-linearity of those impacts across a wide range of environments, we developed an ?enviromic prediction? approach by combining Generalized Additive Models (GAM), environmental covariates (EC), and grain yield (GY) from 18 years of historical breeding trials. Then, we predicted the optimum limits for ECs at each production scenario (four regions, three seasons, and two grain types) and its respective predictions of GY adaptation. Our results indicate that the nonlinear influence of air temperature, solar radiation, and rainfall led to a huge interaction of the impacts among the development stages, seasons, and regions. This revealed that seasonality differently affected the vegetative and reproductive stages, which its impact drastically vary according to the region and season, which makes unfeasible the development of a breeding strategy for selecting for broad adaptation. Conversely, with our approach it was possible to pinpoint the effects of the region- or season-specific impacts, which helped identify the ?climate limits? and critical development phases for each possible production scenario. This could allow breeders to design crop ideotypes while directing efforts to develop climate-smart varieties. Furthermore, enviromics prediction is a cost-effective way to use EC as a data analytics tool to support the visualization of regional breeding gaps for specific growing conditions. MenosOngoing changes in the global environmental conditions foster plant breeding research to develop climate-smart cultivars as fast as possible. Data analytics are essential for achieving this goal, especially the so-called science of enviromics (large-scale environmental characterization of crop growing conditions) that could be used to pinpoint the relevant environment impacts driving the adaptation of a certain specie in a breeding framework. Here we quantified the effects of diverse climate factors on the current adaptation of elite common bean germplasm in Brazil. To capture the non-linearity of those impacts across a wide range of environments, we developed an ?enviromic prediction? approach by combining Generalized Additive Models (GAM), environmental covariates (EC), and grain yield (GY) from 18 years of historical breeding trials. Then, we predicted the optimum limits for ECs at each production scenario (four regions, three seasons, and two grain types) and its respective predictions of GY adaptation. Our results indicate that the nonlinear influence of air temperature, solar radiation, and rainfall led to a huge interaction of the impacts among the development stages, seasons, and regions. This revealed that seasonality differently affected the vegetative and reproductive stages, which its impact drastically vary according to the region and season, which makes unfeasible the development of a breeding strategy for selecting for broad adaptation. Conversely, with our ap... Mostrar Tudo |
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Palavras-Chave: |
Generalized Additive Models (GAM). |
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Thesagro: |
Clima; Feijão; Melhoramento; Phaseolus Vulgaris. |
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Thesaurus Nal: |
Beans; Breeding; Climate; Environment; Plant adaptation. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02916naa a2200313 a 4500
001 2144756
005 2022-08-22
008 2022 bl uuuu u00u1 u #d
022 $a0378-4290
024 7 $ahttps://doi.org/10.1016/j.fcr.2022.108628$2DOI
100 1 $aHEINEMANN, A. B.
245 $aEnviromic prediction is useful to define the limits of climate adaptation$ba case study of common bean in Brazil.$h[electronic resource]
260 $c2022
520 $aOngoing changes in the global environmental conditions foster plant breeding research to develop climate-smart cultivars as fast as possible. Data analytics are essential for achieving this goal, especially the so-called science of enviromics (large-scale environmental characterization of crop growing conditions) that could be used to pinpoint the relevant environment impacts driving the adaptation of a certain specie in a breeding framework. Here we quantified the effects of diverse climate factors on the current adaptation of elite common bean germplasm in Brazil. To capture the non-linearity of those impacts across a wide range of environments, we developed an ?enviromic prediction? approach by combining Generalized Additive Models (GAM), environmental covariates (EC), and grain yield (GY) from 18 years of historical breeding trials. Then, we predicted the optimum limits for ECs at each production scenario (four regions, three seasons, and two grain types) and its respective predictions of GY adaptation. Our results indicate that the nonlinear influence of air temperature, solar radiation, and rainfall led to a huge interaction of the impacts among the development stages, seasons, and regions. This revealed that seasonality differently affected the vegetative and reproductive stages, which its impact drastically vary according to the region and season, which makes unfeasible the development of a breeding strategy for selecting for broad adaptation. Conversely, with our approach it was possible to pinpoint the effects of the region- or season-specific impacts, which helped identify the ?climate limits? and critical development phases for each possible production scenario. This could allow breeders to design crop ideotypes while directing efforts to develop climate-smart varieties. Furthermore, enviromics prediction is a cost-effective way to use EC as a data analytics tool to support the visualization of regional breeding gaps for specific growing conditions.
650 $aBeans
650 $aBreeding
650 $aClimate
650 $aEnvironment
650 $aPlant adaptation
650 $aClima
650 $aFeijão
650 $aMelhoramento
650 $aPhaseolus Vulgaris
653 $aGeneralized Additive Models (GAM)
700 1 $aCOSTA-NETO, G
700 1 $aFRITSCHE-NETO, R.
700 1 $aMATTA, D. H. da
700 1 $aFERNANDES, I. K.
773 $tField Crops Research$gv. 286, 108628, Oct. 2022.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 62 | |
| 7. |  | FERNANDES JÚNIOR, P. I.; PERIN, L.; PEREIRA, G. M. D.; PASSOS, S. R.; ZILLI, J. E. Diversidade de bactérias promotoras de crescimento associadas à Oryza Glumaepatula Steud. no estado de Roraima. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 29.; REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 13.; SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 11.; REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 8., 2010, Guarapari. Fontes de nutrientes e produção agrícola: modelando o futuro: anais. Viçosa, MG: Sociedade Brasileira de Ciência do Solo, 2010.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Roraima. |
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| 8. | | PASSOS, S. R.; VICENTIN, R. P.; ABOIM, M. C. R.; RUMJANEK, N. G.; XAVIER, G. R. Diversidade de clones de Acidobactéria em latossolo vermelho-amarelho. In: ENCONTRO NACIONAL DE MICROBIOLOGIA AMBIENTAL, 11., SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10., 2008, Fortaleza. Resumos... Fortaleza, 2008.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 11. | | DOMINGUES, C. S.; PASSOS, S. R.; RUMJANEK, N. G.; XAVIER, G. R. Diversidade genotípica de rizóbios isolados de mucuna cinza, mucuna anã e mucuna preta In: SEMANA CIENTÍFICA JOHANNA DÖBEREINER, 9., 19 a 23 de outubro de 2009, Seropédica. Ciência no Brasil: desafios, avanços e aplicações: caderno de resumos. Seropédica: Embrapa Agrobiologia, 2009. p.12| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 14. | | PASSOS, S. R.; CORREIA, M. E. F.; SOARES, L. H. de B.; ARAUJO, J. L. S. de; RUMJANEK, N. G. Avaliação por PCR-DGGE da comunidade bacteriana e de actinobactérias associados ao trati intencional de trigoniulus corallinus In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 25.,2009, Porto de Galinhas, PE. Anais... [São Paulo]: Sociedade Bras. de Microbiologia, 2009. 01 P. 01 de 01| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 15. | | PACHECO, R. S.; PASSOS, S. R.; DIAS, A.; LUCENA, R. L. de D.; XAVIER, G. R.; RUMJANEK, N. G. Inibição in vitro do crescimento de Rhizoctonia solani por isolados do grupo fluorescente das Pseudomonas spp. Seropédica: Embrapa Agrobiologia, 2006. 4 p. Trabalho apresentado na XXVII Reunião Brasileira de Fertilidade do Solo e Nutrição de Plantas, XI Reunião Brasileira sobre Micorrizas, IX Simpósio Brasileiro de Microbiologia do Solo; VI Reunião Brasileira de Biologia do Solo, Bonito/MS,...| Biblioteca(s): Embrapa Agrobiologia. |
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| 17. | | BORGES, W. L.; PASSOS, S. R.; ALMEIDA, A. M.; PEIXOTO, R. T. dos G.; RUMJANEK, N. G.; XAVIER, G. R. Efeito da aplicação de rochas silicáticas sobre a comunidade microbiana durante o processo de compostagem. Espaço & Geografia, v. 9, n. 2, p. 195-214, 2006.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Nacional - B |
| Biblioteca(s): Embrapa Solos. |
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| 18. | | PASSOS, S. R.; DOMINGUES, C. S.; LEITE, J.; MARTINS, L. M. V.; RUMJANEK, N. G.; XAVIER, G. R. Diversidade genotípica de rizóbios isolados de feijão- caupi (Vigna unguiculata (L.) walp) no submédio do Vale do São Francisco. In: ENCONTRO NACIONAL DE MICROBIOLOGIA AMBIENTAL, 11., SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10., 2008, Fortaleza. Resumos... Fortaleza, 2008.| Tipo: Artigo em Anais de Congresso / Nota Técnica |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 20. | | ARAUJO, J. L. S. de; LEITE, J.; PASSOS, S. R.; XAVIER, G. R.; RUMJANEK, N. G.; ZILLI, J. E. Draft genome sequence of Bradyrhizobium yuanmingense strain BR 3267, an elite strain recommended for cowpea inoculation in Brazil. Brazilian Journal of Microbiology, v. 47, n. 4, p. 781-782, oct., 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agrobiologia. |
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| Registros recuperados : 62 | |
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