Simulated Optimum Sowing Date for Forage Pearl Millet Cultivars in Multilocation Trials in Brazilian Semi-Arid Region

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 abi...

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Main Authors: Rafael D. Santos, Kenneth J. Boote, Lynn E. Sollenberger, Andre L. A. Neves, Luiz G. R. Pereira, Carolina B. Scherer, Lucio C. Gonçalves
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Plant Science
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fpls.2017.02074/full
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spelling doaj-cee77a5b28e14ff8bc4bcdb948faa5672020-11-25T00:54:27ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2017-12-01810.3389/fpls.2017.02074215893Simulated Optimum Sowing Date for Forage Pearl Millet Cultivars in Multilocation Trials in Brazilian Semi-Arid RegionRafael D. Santos0Kenneth J. Boote1Lynn E. Sollenberger2Andre L. A. Neves3Luiz G. R. Pereira4Carolina B. Scherer5Lucio C. Gonçalves6Embrapa Semi-Arid, Petrolina, BrazilDepartment of Agronomy, University of Florida, Gainesville, FL, United StatesDepartment of Agronomy, University of Florida, Gainesville, FL, United StatesEmbrapa Dairy Cattle, Juiz de Fora, BrazilEmbrapa Dairy Cattle, Juiz de Fora, BrazilAnimal Sciences Department, Federal University of Minas Gerais, Belo Horizonte, BrazilAnimal Sciences Department, Federal University of Minas Gerais, Belo Horizonte, BrazilForage 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.http://journal.frontiersin.org/article/10.3389/fpls.2017.02074/fullclimate changecrop modelscultivars competitiondry landsDSSATrainfed agriculture
collection DOAJ
language English
format Article
sources DOAJ
author Rafael D. Santos
Kenneth J. Boote
Lynn E. Sollenberger
Andre L. A. Neves
Luiz G. R. Pereira
Carolina B. Scherer
Lucio C. Gonçalves
spellingShingle Rafael D. Santos
Kenneth J. Boote
Lynn E. Sollenberger
Andre L. A. Neves
Luiz G. R. Pereira
Carolina B. Scherer
Lucio C. Gonçalves
Simulated Optimum Sowing Date for Forage Pearl Millet Cultivars in Multilocation Trials in Brazilian Semi-Arid Region
Frontiers in Plant Science
climate change
crop models
cultivars competition
dry lands
DSSAT
rainfed agriculture
author_facet Rafael D. Santos
Kenneth J. Boote
Lynn E. Sollenberger
Andre L. A. Neves
Luiz G. R. Pereira
Carolina B. Scherer
Lucio C. Gonçalves
author_sort Rafael D. Santos
title Simulated Optimum Sowing Date for Forage Pearl Millet Cultivars in Multilocation Trials in Brazilian Semi-Arid Region
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
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2017-12-01
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.
topic climate change
crop models
cultivars competition
dry lands
DSSAT
rainfed agriculture
url http://journal.frontiersin.org/article/10.3389/fpls.2017.02074/full
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