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| Registros recuperados : 13 | |
| 4. |  | LUZ, J. M. Q.; CAMILO, J. S.; BARBIERI, V. H. B.; RANGEL, R. M.; OLIVEIRA, R. C. Produtividade de genótipos de milho doce e milho verde em função de intervalos de colheita. Horticultura Brasileira, Brasília, v. 32, n. 2, p. 163-167, abr./jun. 2014.| Biblioteca(s): Embrapa Hortaliças. |
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| 6. | | ANDRADE, C. de L. T. de; AMARAL, T. A.; CHAN, C. S.; CAMILO, J. A.; ALVARENGA, R. C.; TIGGES, C. H. P.; MELO, M. L. A. de. Alterações meteorológicas futuras afetando a cultura do milho no sul de Minas Gerais. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 90.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 7. | | CAMILO, J. A.; ANDRADE, C. de L. T. de; AMARAL, T. A.; TIGGES, C. H. P.; MELO, M. L. A. de; CHAN, C. S.; GARCIA Y GARCIA, A. Impact of climate change on maize grown in the brazilian cerrado. In: ASABE ANNUAL INTERNATIONAL MEETING, 2018, Detroit. [Proceedings]. St. Joseph: ASABE, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 10. | | OLIVEIRA, I. C. M.; ANDRADE, C. de L. T. de; CAMILO, J. A.; TIGGES, C. H. P.; SILVA, J. dos S. Resposta da cultura do milho a cenários de mudanças climáticas na cidade de Araçuaí, Minas Gerais. In: CONGRESSO NACIONAL DE MILHO E SORGO, 32., 2018, Lavras. Soluções integradas para os sistemas de produção de milho e sorgo no Brasil: resumos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2018. p. 325.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 13 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
05/01/2022 |
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Data da última atualização: |
05/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
|
Autoria: |
MELO, M. L. A. de; CAMILO, J. A.; ANDRADE, C. de L. T. de; AMARAL, T. A.; SOUZA, I. R. P. de; SIMEÃO, R. M. |
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Afiliação: |
MARINA LUCIANA ABREU DE MELO, Escola Superior de Agricultura “Luiz de Queiroz”; JENNIFER ALVES CAMILO, Universidade Federal de São João del-Rei; CAMILO DE LELIS TEIXEIRA DE ANDRADE, CNPMS; TALES ANTÔNIO AMARAL; ISABEL REGINA PRAZERES DE SOUZA, CNPMS; ROSANGELA MARIA SIMEAO, CNPGC. |
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Título: |
Sowing period and estimated maize production for silage under tropical conditions. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Milho e Sorgo, v. 20, e1219, 2021. |
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DOI: |
https://doi.org/10.18512/rbms2021v20e1219 |
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Idioma: |
Inglês |
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Conteúdo: |
In Brazil, livestock activity is affected by the seasonality of forage supply, which depends on the distribution of rainfall. The use of silage is one of the strategies to solve the problem during the annual dry season. The objective of this study was to use modeling to assess the productivity and quality of the maize silage in the state of Minas Gerais, Brazil. The CSM-CERES-Maize model was used to simulate maize silage production in 18 counties, at 52 sowing dates distributed throughout the year, with and without the use of irrigation. Absence of rainfall during the harvest period was also used as criterion to define the best sowing date in each county. In general, the best sowing dates were concentrated in October and February, respectively, for rainfed water supply and irrigated condition. The maize silage productivity under rainfed condition presented greater interannual variability and lower quality in comparison to that obtained under irrigated conditions. Under optimal soil-water conditions, climatic factors such as temperature and solar radiation are determinant to crop performance. |
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Palavras-Chave: |
DSSAT; Modelagem; Modeling; Silage quality. |
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Thesagro: |
Irrigação; Silagem; Zea Mays. |
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Thesaurus NAL: |
Irrigation. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229960/1/Sowing-period.pdf
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Marc: |
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008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.18512/rbms2021v20e1219$2DOI
100 1 $aMELO, M. L. A. de
245 $aSowing period and estimated maize production for silage under tropical conditions.$h[electronic resource]
260 $c2021
520 $aIn Brazil, livestock activity is affected by the seasonality of forage supply, which depends on the distribution of rainfall. The use of silage is one of the strategies to solve the problem during the annual dry season. The objective of this study was to use modeling to assess the productivity and quality of the maize silage in the state of Minas Gerais, Brazil. The CSM-CERES-Maize model was used to simulate maize silage production in 18 counties, at 52 sowing dates distributed throughout the year, with and without the use of irrigation. Absence of rainfall during the harvest period was also used as criterion to define the best sowing date in each county. In general, the best sowing dates were concentrated in October and February, respectively, for rainfed water supply and irrigated condition. The maize silage productivity under rainfed condition presented greater interannual variability and lower quality in comparison to that obtained under irrigated conditions. Under optimal soil-water conditions, climatic factors such as temperature and solar radiation are determinant to crop performance.
650 $aIrrigation
650 $aIrrigação
650 $aSilagem
650 $aZea Mays
653 $aDSSAT
653 $aModelagem
653 $aModeling
653 $aSilage quality
700 1 $aCAMILO, J. A.
700 1 $aANDRADE, C. de L. T. de
700 1 $aAMARAL, T. A.
700 1 $aSOUZA, I. R. P. de
700 1 $aSIMEÃO, R. M.
773 $tRevista Brasileira de Milho e Sorgo$gv. 20, e1219, 2021.
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Embrapa Milho e Sorgo (CNPMS) |
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