Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085042 |
Resumo: | 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. |
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Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region.CSM-CERES-Pearl MilletCultivars competitionDry landsDSSATPastureRainfed agriculturePastagemMudança climáticaForragemClimate changeCrop modelsForage 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.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.SANTOS, R. D. dosBOOTE, K. J.SOLLENBERGER, L. E.NEVES, A. L. A.PEREIRA, L. G. R.SCHERER, C. B.GINÇALVES, L. C.2023-05-12T15:47:10Z2023-05-12T15:47:10Z2018-01-112017info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Plant Science, v. 8, article 2074, 2017.http://www.alice.cnptia.embrapa.br/alice/handle/doc/108504210.3389/fpls.2017.02074enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2023-05-12T15:47:10Zoai:www.alice.cnptia.embrapa.br:doc/1085042Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542023-05-12T15:47:10falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542023-05-12T15:47:10Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
title |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
spellingShingle |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. SANTOS, R. D. dos CSM-CERES-Pearl Millet Cultivars competition Dry lands DSSAT Pasture Rainfed agriculture Pastagem Mudança climática Forragem Climate change Crop models |
title_short |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
title_full |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
title_fullStr |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
title_full_unstemmed |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
title_sort |
Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region. |
author |
SANTOS, R. D. dos |
author_facet |
SANTOS, R. D. dos BOOTE, K. J. SOLLENBERGER, L. E. NEVES, A. L. A. PEREIRA, L. G. R. SCHERER, C. B. GINÇALVES, L. C. |
author_role |
author |
author2 |
BOOTE, K. J. SOLLENBERGER, L. E. NEVES, A. L. A. PEREIRA, L. G. R. SCHERER, C. B. GINÇALVES, L. C. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
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. |
dc.contributor.author.fl_str_mv |
SANTOS, R. D. dos BOOTE, K. J. SOLLENBERGER, L. E. NEVES, A. L. A. PEREIRA, L. G. R. SCHERER, C. B. GINÇALVES, L. C. |
dc.subject.por.fl_str_mv |
CSM-CERES-Pearl Millet Cultivars competition Dry lands DSSAT Pasture Rainfed agriculture Pastagem Mudança climática Forragem Climate change Crop models |
topic |
CSM-CERES-Pearl Millet Cultivars competition Dry lands DSSAT Pasture Rainfed agriculture Pastagem Mudança climática Forragem Climate change Crop models |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 2018-01-11 2023-05-12T15:47:10Z 2023-05-12T15:47:10Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Frontiers in Plant Science, v. 8, article 2074, 2017. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085042 10.3389/fpls.2017.02074 |
identifier_str_mv |
Frontiers in Plant Science, v. 8, article 2074, 2017. 10.3389/fpls.2017.02074 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1085042 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503544654528512 |