Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in Brazilian Semi-Arid region.

Detalhes bibliográficos
Autor(a) principal: SANTOS, R. D. dos
Data de Publicação: 2017
Outros Autores: BOOTE, K. J., SOLLENBERGER, L. E., NEVES, A. L. A., PEREIRA, L. G. R., SCHERER, C. B., GINÇALVES, L. C.
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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spelling 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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