Simulated optimum sowing date for forage pearl millet cultivars in multilocation trials in brazilian semi-arid region

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dc.creatorRafael Dantas Dos Santos
dc.creatorKenneth J. Boote
dc.creatorLynn E. Sollenberger
dc.creatorAndré Luis Alves Neves
dc.creatorLuiz Gustavo Ribeiro Pereira
dc.creatorCarolina Boesel Scherer
dc.creatorLucio Carlos Gonçalves
dc.date.accessioned2024-04-15T19:55:17Z
dc.date.accessioned2025-09-09T00:39:20Z
dc.date.available2024-04-15T19:55:17Z
dc.date.issued2017-12-08
dc.format.mimetypepdf
dc.identifier.doihttps://doi.org/10.3389/fpls.2017.02074
dc.identifier.issn1664-462X
dc.identifier.urihttps://hdl.handle.net/1843/67195
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFrontiers in Plant Science
dc.rightsAcesso Aberto
dc.subjectMilhete - Cultivo
dc.subjectSeca
dc.subjectMudança Climática
dc.subjectForragem
dc.subjectSemeadura
dc.titleSimulated optimum sowing date for forage pearl millet cultivars in multilocation trials in brazilian semi-arid region
dc.typeArtigo de periódico
local.citation.epage11
local.citation.spage1
local.citation.volume8
local.description.resumoForage 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.
local.publisher.countryBrasil
local.publisher.departmentVET - DEPARTAMENTO DE ZOOTECNIA
local.publisher.initialsUFMG
local.url.externahttps://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2017.02074/full#h7

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