| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
11/01/2018 |
|
Data da última atualização: |
12/05/2023 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SANTOS, R. D. dos; BOOTE, K. J.; SOLLENBERGER, L. E.; NEVES, A. L. A.; PEREIRA, L. G. R.; SCHERER, C. B.; GINÇALVES, L. C. |
|
Afiliação: |
RAFAEL DANTAS DOS SANTOS, CPATSA; KENNETH J. BOOTE, University of Florida, Gainesville, FL; LYNN E. SOLLENBERGER, University of Florida, Gainesville, FL; ANDRE LUIS ALVES NEVES, CNPGL; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; CAROLINA B. SCHERER, UFMG; LUCIO C. GONÇALVES, UFMG. |
|
Título: |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
|
Ano de publicação: |
2017 |
|
Fonte/Imprenta: |
Frontiers in Plant Science, v. 8, article 2074, 2017. |
|
DOI: |
10.3389/fpls.2017.02074 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Forage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. The model can be used as a tool to evaluate the effect of sowing date on forage pearl millet performance in Brazilian semi-arid conditions. MenosForage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. T... Mostrar Tudo |
|
Palavras-Chave: |
CSM-CERES-Pearl Millet; Cultivars competition; Dry lands; DSSAT; Pasture; Rainfed agriculture. |
|
Thesagro: |
Forragem; Mudança climática; Pastagem. |
|
Thesaurus Nal: |
Climate change; Crop models. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1085042/1/Simulated-optimum-sowing-date.pdf
|
|
Marc: |
LEADER 02630naa a2200337 a 4500
001 2085042
005 2023-05-12
008 2017 bl uuuu u00u1 u #d
024 7 $a10.3389/fpls.2017.02074$2DOI
100 1 $aSANTOS, R. D. dos
245 $aSimulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region.$h[electronic resource]
260 $c2017
520 $aForage production is primarily limited by weather conditions under dryland production systems in Brazilian semi-arid regions, therefore sowing at the appropriate time is critical. The objectives of this study were to evaluate the CSM-CERES-Pearl Millet model from the DSSAT software suite for its ability to simulate growth, development, and forage accumulation of pearl millet [Pennisetum glaucum (L.) R.] at three Brazilian semi-arid locations, and to use the model to study the impact of different sowing dates on pearl millet performance for forage. Four pearl millet cultivars were grown during the 2011 rainy season in field experiments conducted at three Brazilian semi-arid locations, under rainfed conditions. The genetic coefficients of the four pearl millet cultivars were calibrated for the model, and the model performance was evaluated with experimental data. The model was run for 14 sowing dates using long-term historical weather data from three locations, to determine the optimum sowing window. Results showed that performance of the model was satisfactory as indicated by accurate simulation of crop phenology and forage accumulation against measured data. The optimum sowing window varied among locations depending on rainfall patterns, although showing the same trend for cultivars within the site. The best sowing windows were from 15 April to 15 May for the Bom Conselho location; 12 April to 02 May for Nossa Senhora da Gloria; and 17 April to 25 May for Sao Bento do Una. The model can be used as a tool to evaluate the effect of sowing date on forage pearl millet performance in Brazilian semi-arid conditions.
650 $aClimate change
650 $aCrop models
650 $aForragem
650 $aMudança climática
650 $aPastagem
653 $aCSM-CERES-Pearl Millet
653 $aCultivars competition
653 $aDry lands
653 $aDSSAT
653 $aPasture
653 $aRainfed agriculture
700 1 $aBOOTE, K. J.
700 1 $aSOLLENBERGER, L. E.
700 1 $aNEVES, A. L. A.
700 1 $aPEREIRA, L. G. R.
700 1 $aSCHERER, C. B.
700 1 $aGINÇALVES, L. C.
773 $tFrontiers in Plant Science$gv. 8, article 2074, 2017.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
|
Data corrente: |
27/03/2008 |
|
Data da última atualização: |
27/03/2008 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
BERG, C. van den; CIAMPI, A. Y.; SCHNADELBACH, A. S.; CAVALCANTI, T. B.; SILVA, G. P. da; NORONHA, S. E.; DIAS, C. V.; JESUS, P. C. N. de; GOMES, R. V.; LAMBERT, S. M. |
|
Afiliação: |
Cássio van den Berg; Ana Yamaguishi Ciampi; Embrapa Recursos Genéticos e Biotecnologia; Alessandra Selbach Schnadelbach, Universidade Estadual de Feira de Santana; Taciana Barbosa Cavalcanti, Embrapa Recursos Genéticos e Biotecnologia; Glocimar Pereira d. |
|
Título: |
Caracterização molecular de plantas do semi-árido brasileiro. |
|
Ano de publicação: |
2006 |
|
Fonte/Imprenta: |
In: GIULIETTI, A. M; QUEIROZ, L. P. de (Ed.). Recursos genéticos do Semi-Árido Nordestino. Recife: Instituto do Milênio do Semi-Árido, 2006. v. 5 169 p. (Instituto do Milênio do Semi-Árido). |
|
Páginas: |
p. 137-149. |
|
Idioma: |
Português |
|
Palavras-Chave: |
Nordeste; Região Semi-Árida; Variabilidade genética. |
|
Thesagro: |
Germoplasma; Recurso Genético. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 00948naa a2200289 a 4500
001 1189615
005 2008-03-27
008 2006 bl uuuu u00u1 u #d
100 1 $aBERG, C. van den
245 $aCaracterização molecular de plantas do semi-árido brasileiro.
260 $c2006
300 $ap. 137-149.
650 $aGermoplasma
650 $aRecurso Genético
653 $aNordeste
653 $aRegião Semi-Árida
653 $aVariabilidade genética
700 1 $aCIAMPI, A. Y.
700 1 $aSCHNADELBACH, A. S.
700 1 $aCAVALCANTI, T. B.
700 1 $aSILVA, G. P. da
700 1 $aNORONHA, S. E.
700 1 $aDIAS, C. V.
700 1 $aJESUS, P. C. N. de
700 1 $aGOMES, R. V.
700 1 $aLAMBERT, S. M.
773 $tIn: GIULIETTI, A. M; QUEIROZ, L. P. de (Ed.). Recursos genéticos do Semi-Árido Nordestino. Recife: Instituto do Milênio do Semi-Árido, 2006.$gv. 5 169 p. (Instituto do Milênio do Semi-Árido).
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
