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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: |
05/11/2008 |
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Data da última atualização: |
28/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; HEINEMANN, A. B. |
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Afiliação: |
LUDMILLA FERREIRA JUSTINO, UFG; RAFAEL BATTISTI, UFG; LUIS FERNANDO STONE, CNPAF; ALEXANDRE BRYAN HEINEMANN, CNPAF. |
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Título: |
In silico assessment of sowing dates and nitrogen management in common bean crops. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
European Journal of Agronomy, v. 133, 126434, 2022. |
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ISSN: |
1161-0301 |
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DOI: |
https://doi.org/10.1016/j.eja.2021.126434 |
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Idioma: |
Inglês |
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Conteúdo: |
The application of nitrogen soil fertilization is one of the factors that leads to high yields in common bean crops. Therefore, the aim of this work is to evaluate in silico the effects of nitrogen rates and topdressing dates on common bean yield in three different sowing dates and three growing seasons in Goias State, Brazil. The CSM-CROPGRO-DRYBEAN crop model was parameterized, validated, and applied to simulate common bean yields in wet (Nov to Dec), dry (Jan to Feb), and winter (May to Jun) seasons for nitrogen rates applied at sowing and as topdressing. An economic analysis was carried out to assess the viability of each scenario. Nitrogen rate was the most important factor in the wet season in obtaining high yields. Yields increased as nitrogen rates increased. In the dry season, sowing date was the most important factor in obtaining the highest yields. However, this season presented the lowest increase in yield per kg of nitrogen, whereas the winter season presented the highest increase. In the winter season, nitrogen rate was also the most important factor in obtaining high yields, and sowing date and topdressing had a low effect on yield. The highest crop economic return was obtained with N rates (sowing/topdressing) of 60/180 kg ha -1 and 40/120 kg ha -1 for the wet and winter seasons, respectively. The bean price was fixed at US$ 0.85 kg1. Therefore, the best management strategy is an early sowing date for the dry season, high nitrogen rates and an early sowing date for the wet season, and high nitrogen rates for the winter season. MenosThe application of nitrogen soil fertilization is one of the factors that leads to high yields in common bean crops. Therefore, the aim of this work is to evaluate in silico the effects of nitrogen rates and topdressing dates on common bean yield in three different sowing dates and three growing seasons in Goias State, Brazil. The CSM-CROPGRO-DRYBEAN crop model was parameterized, validated, and applied to simulate common bean yields in wet (Nov to Dec), dry (Jan to Feb), and winter (May to Jun) seasons for nitrogen rates applied at sowing and as topdressing. An economic analysis was carried out to assess the viability of each scenario. Nitrogen rate was the most important factor in the wet season in obtaining high yields. Yields increased as nitrogen rates increased. In the dry season, sowing date was the most important factor in obtaining the highest yields. However, this season presented the lowest increase in yield per kg of nitrogen, whereas the winter season presented the highest increase. In the winter season, nitrogen rate was also the most important factor in obtaining high yields, and sowing date and topdressing had a low effect on yield. The highest crop economic return was obtained with N rates (sowing/topdressing) of 60/180 kg ha -1 and 40/120 kg ha -1 for the wet and winter seasons, respectively. The bean price was fixed at US$ 0.85 kg1. Therefore, the best management strategy is an early sowing date for the dry season, high nitrogen rates and an early sowing da... Mostrar Tudo |
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Thesagro: |
Análise Econômica; Feijão; Modelo de Simulação; Nitrogênio; Phaseolus Vulgaris. |
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Thesaurus Nal: |
Beans; Crop models; Economic analysis; Nitrogen; Soil fertility. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02430naa a2200301 a 4500
001 1217489
005 2023-03-28
008 2022 bl uuuu u00u1 u #d
022 $a1161-0301
024 7 $ahttps://doi.org/10.1016/j.eja.2021.126434$2DOI
100 1 $aJUSTINO, L. F.
245 $aIn silico assessment of sowing dates and nitrogen management in common bean crops.$h[electronic resource]
260 $c2022
520 $aThe application of nitrogen soil fertilization is one of the factors that leads to high yields in common bean crops. Therefore, the aim of this work is to evaluate in silico the effects of nitrogen rates and topdressing dates on common bean yield in three different sowing dates and three growing seasons in Goias State, Brazil. The CSM-CROPGRO-DRYBEAN crop model was parameterized, validated, and applied to simulate common bean yields in wet (Nov to Dec), dry (Jan to Feb), and winter (May to Jun) seasons for nitrogen rates applied at sowing and as topdressing. An economic analysis was carried out to assess the viability of each scenario. Nitrogen rate was the most important factor in the wet season in obtaining high yields. Yields increased as nitrogen rates increased. In the dry season, sowing date was the most important factor in obtaining the highest yields. However, this season presented the lowest increase in yield per kg of nitrogen, whereas the winter season presented the highest increase. In the winter season, nitrogen rate was also the most important factor in obtaining high yields, and sowing date and topdressing had a low effect on yield. The highest crop economic return was obtained with N rates (sowing/topdressing) of 60/180 kg ha -1 and 40/120 kg ha -1 for the wet and winter seasons, respectively. The bean price was fixed at US$ 0.85 kg1. Therefore, the best management strategy is an early sowing date for the dry season, high nitrogen rates and an early sowing date for the wet season, and high nitrogen rates for the winter season.
650 $aBeans
650 $aCrop models
650 $aEconomic analysis
650 $aNitrogen
650 $aSoil fertility
650 $aAnálise Econômica
650 $aFeijão
650 $aModelo de Simulação
650 $aNitrogênio
650 $aPhaseolus Vulgaris
700 1 $aBATTISTI, R.
700 1 $aSTONE, L. F.
700 1 $aHEINEMANN, A. B.
773 $tEuropean Journal of Agronomy$gv. 133, 126434, 2022.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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| Registros recuperados : 22 | |
| 2. |  | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; HEINEMANN, A. B. Avaliação de doses e datas de aplicação de nitrogênio no feijão-comum por meio de modelo de simulação. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 13., 2021, Goiânia. Conectividade tecnológica, intensificação sustentável: resumos. Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 172. Evento online.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 3. | | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; HEINEMANN, A. B. Avaliação econômica da aplicação de doses de nitrogênio na cultura do feijão-comum. In: CONGRESSO NACIONAL DE PESQUISA DE FEIJÃO, 13., 2021, Goiânia. Conectividade tecnológica, intensificação sustentável: resumos. Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 31. Evento online.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 7. | | MUNHOZ, J. S. B.; OLIVEIRA, S. F. de; MARIN, F.; BATTISTI, R. Estimativa da evapotranspiração de referência no Brasil: uma análise crítica. In: CONGRESSO BRASILEIRO DE METEOROLOGIA, 17.; ENCONTRO DE METEOROLOGIA DOS PAÍSES DO MERCOSUL E ASSOCIADOS, 1.; ENCONTRO SUL AMERICANO DE APLICAÇÕES DO SISTEMA EUMETCast PARA O MONITORAMENTO METEOROLÓGICO E AMBIENTAL, 4.; ENCONTRO DE METEOROLOGIA OPERACIONAL, 2., 2012, Gramado. Anais: programa. Gramado: UFRGS, 2012. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 8. | | BATTISTI, R.; PILAU, F. G.; SCHWERZ, L.; SOMAVILLA, L.; TOMM, G. O. Dinâmica floral e abortamento de flores em híbridos de canola e mostarda castanha. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 2, p. 174-181, fev. 2013. Título em inglês: Floral dynamics and flower abortion in hybrids of canola and Indian mustard.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 9. | | JUSTINO, L. F.; BATTISTI, R.; STONE, L. F.; SILVA, S. C. da; HEINEMANN, A. B. Viabilidade econômica da aplicação de nitrogênio na cultura do feijão-comum, em três épocas de cultivo. In: SEMINÁRIO JOVENS TALENTOS, 15., 2021, Santo Antônio de Goiás. Resumos... Brasília, DF: Embrapa; Santo Antônio de Goiás: Embrapa Arroz e Feijão, 2021. p. 74. Evento online.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 14. | | BATTISTI, R.; SENTELHAS, P. C.; BOOTE, K. J.; CÂMARA, G. M. de S.; FARIAS, J. R. B.; BASSO, C. J. Assessment of yield with altered soybean traits for drought tolerance in southern Brazil. In: CONGRESSO BRASILEIRO DE SOJA, 7.; MERCOSOJA, 2015, Florianópolis. Tecnologia e mercado global: perspectivas para soja: anais. Londrina: Embrapa Soja, 2015. 3 p. 1 CD-ROM.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Soja. |
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| 15. | | SENTELHAS, P. C.; BATTISTI, R.; CÂMARA, G. M. S.; FARIAS, J. R. B.; HAMPF, A. C.; NENDEL, C. The soybean yield gap in Brazil - magnitude, causes and possible solutions for sustainable production. Journal of Agricultural Science, v. 153, n. 8. p. 1394-1411, Nov. 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Soja. |
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| 16. | | BATTISTI, R.; SENTELHAS, P. C.; PARKER, P. S.; NENDEL, C.; CÂMARA, G. M. de S.; FARIAS, J. R. B.; BASSO, C. J. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop & pasture science, v. 69, n. 2, p. 154-162, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Soja. |
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| 17. | | MARIN, F. R.; ZANON, A. J.; MONZON, J. P.; ANDRADE, J. F.; SILVA, E. H. F. M.; RICHTER, G. L.; ANTOLIN, L. A. S.; RIBEIRO, B. S. M. R.; RIBAS, G. G.; BATTISTI, R.; HEINEMANN, A. B.; GRASSINI, P. Protecting the Amazon forest and reducing global warming via agricultural intensification. Nature Sustainability, v. 5, p. 1018-1026, Dec. 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 18. | | SILVA, Y. F.; VALADARES, R. V.; DIAS, H. B.; CUADRA, S. V.; CAMPBELL, E. E.; LAMPARELLI, R. A. C.; MORO, E.; BATTISTI, R.; ALVES, M. R.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. Intense pasture management in Brazil in an integrated crop-livestock system simulated by the DayCent model. Sustainability, v. 14, n. 6, p. 1-24, Mar. 2022. Article 3517.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| 19. | | MARIN, F. R.; ZANON, A. J.; MONZON, J. P.; ANDRADE, J. F.; SILVA, E. H. F. M.; RITCHER, G.; SAN MARTIN, B.; BATTISTI, R.; HEINEMANN, A. B.; GRASSINI, P. Intensificação agrícola pode ajudar a proteger a Floresta Amazônica e reduzir o aquecimento global. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 22., 2023, Natal. A agrometeorologia e a agropecuária: adaptação às mudanças climáticas: anais... Natal: Sociedade Brasileira de Agrometeorologia, 2023. p. 2631-2641. CBAGRO 2023.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | ALVES JÚNIOR, J.; NARCISO, M. G.; SILVEIRA, P. M. da; HEINEMANN, A. B.; BEZERRA, R. de S.; BATTISTI, R.; EVANGELISTA, A. W. P.; CASAROLI, D.; SANTOS, J. C. C. dos; KNAPP, F. M. Software para manejo da irrigação na cultura do tomate para processamento industrial em Goiás. In: MELO, J. O. F. (org.). Ciências agrárias: o avanço da ciência no Brasil. São Paulo: Editora Científica Digital, 2022. v. 5. Cap. 34, p. 486-505.| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 22 | |
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