Relevant bibliographies by topics / CSM-CERES- Maize

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Academic literature on the topic 'CSM-CERES- Maize'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "CSM-CERES- Maize"

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BOGGIONE, IVALDO MARTINS, CAMILO DE LELIS TEIXEIRA DE ANDRADE, JOÃO CARLOS FERREIRA BORGES JÚNIOR, and JOÃO HERBERT MOREIRA VIANA. "MODELING APPLIED TO SOWING DATE OF IRRIGATED MAIZE." Revista Brasileira de Milho e Sorgo 17, no. 2 (2018): 201. http://dx.doi.org/10.18512/1980-6477/rbms.v17n2p201-215.

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ABSTRACT – In Brazil, the rainfed maize crop may undergo yield breaks due to uncertainties in the rainfall distribution. Irrigation can be a management alternative that, however, requires evaluation and planning to be helpful. The objective of this work was to analyze the simulated yield data of irrigated maize in counties of Minas Gerais state, Brazil. The CSM-CERES-Maize model was used to simulated weekly sowings of maize considering optimum agronomic conditions. A sprinkler irrigation scheme with 80% efficiency was used with automatic applications when the crop withdrew 50% of the soil avai
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Han, Z., B. Zhang, G. Hoogenboom, X. Li, and C. He. "Climate change impacts and adaptation strategies on rainfed and irrigated maize in the agro-pastoral ecotone of Northwestern China." Climate Research 83 (April 8, 2021): 75–90. http://dx.doi.org/10.3354/cr01635.

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The agro-pastoral ecotone of Northwestern China (APENC) is one of the major agricultural production areas in China and a region where climate change is evident. Maize is a widely cultivated crop in the APENC, but the potential impact of climate change on maize, and potential adaptation strategies in response to this, are poorly understood. In this study, we used the Cropping System Model (CSM)-CERES-Maize to evaluate the impacts of climate change on maize yield, as well as the feasibility of 2 adaptation strategies; namely, adjusting the planting date and supplying irrigation. CSM-CERES-Maize
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Mereu, Gallo, and Spano. "Optimizing Genetic Parameters of CSM-CERES Wheat and CSM-CERES Maize for Durum Wheat, Common Wheat, and Maize in Italy." Agronomy 9, no. 10 (2019): 665. http://dx.doi.org/10.3390/agronomy9100665.

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The expected increase in population and the pressure posed by climate change on agricultural production require the assessment of future yield levels and the evaluation of the most suitable management options to minimize climate risk and promote sustainable agricultural production. Crop simulation models are widely applied tools to predict crop development and production under different management practices and environmental conditions. The aim of this study was to parameterize CSM-CERES-Wheat and CSM-CERES-Maize models, implemented in the Decision Support System for Agrotechnology Transfer (D
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Yasin, Mubashra, Ashfaq Ahmad, Tasneem Khaliq, et al. "Climate change impact uncertainty assessment and adaptations for sustainable maize production using multi-crop and climate models." Environmental Science and Pollution Research 29, no. 13 (2021): 18967–88. http://dx.doi.org/10.1007/s11356-021-17050-z.

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AbstractFuture climate scenarios are predicting considerable threats to sustainable maize production in arid and semi-arid regions. These adverse impacts can be minimized by adopting modern agricultural tools to assess and develop successful adaptation practices. A multi-model approach (climate and crop) was used to assess the impacts and uncertainties of climate change on maize crop. An extensive field study was conducted to explore the temporal thermal variations on maize hybrids grown at farmer’s fields for ten sowing dates during two consecutive growing years. Data about phenology, morphol
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Ali, Amied, and Bashrat Ali. "EVALUATION OF CERES-MAIZE MODEL FOR HYBRID MAIZE (Zea mays L.) PRODUCTION." AGRIBUSINESS JOURNAL 13, no. 1 (2019): 96–110. http://dx.doi.org/10.15408/aj.v13i1.11875.

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The trial was conducted at Agronomic Research farm, University of Sargodha during spring growing season, 2015, to calibrate and evaluate CERES-Maize model for simulating the impact of different sowing time on maize crop. The experiment was laid out in split plot design having three replications, keeping planting dates (25th Feb, 6thMar and 14thMar) in main plots and hybrids i.e. (DK-9108, DK-6525 and DK-6142) in the sub plots. The Calibration of CSM-CERES-Maize model showed the best possible closeness between simulated and observed days to flowering and physiological maturity, leaf area index
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Mubeen, Muhammad, Ashfaq Ahmad, Aftab Wajid, et al. "Application of CSM-CERES-Maize model in optimizing irrigated conditions." Outlook on Agriculture 45, no. 3 (2016): 173–84. http://dx.doi.org/10.1177/0030727016664464.

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Gobezie, Addey, Dereje Ademe, and Lakesh K. Sharma. "CERES-Maize (DSSAT) Model Applications for Maize Nutrient Management Across Agroecological Zones: A Systematic Review." Plants 14, no. 5 (2025): 661. https://doi.org/10.3390/plants14050661.

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Effective nutrient management is essential for boosting maize yield and quality and tackling factors that limit or reduce productivity. The Crop Environment Resource Synthesis (CERES)-Maize model embedded in the Decision Support Systems for Agrotechnology Transfer (DSSAT) cropping system model (CSM), known for its accurate predictions, serves as a valuable tool for guiding agricultural decisions, particularly in nutrient management, offering an efficient alternative to traditional long term field trials. This systematic review consolidates the current knowledge on nutrient management practices
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Sisay, Theodrose, Kindie Tesfaye, Mezegebu Getnet, Nigussie Dechassa, and Mengistu Ketema. "Calibration and Evaluation of CERES-Maize and CROPGRO-Dry Bean Crop Simulation Models of the DSSAT in the Great Rift Valley Region of Ethiopia." International Journal of Applied Agricultural Sciences 10, no. 4 (2024): 149–56. http://dx.doi.org/10.11648/j.ijaas.20241004.11.

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Maize (Zea mays L.) is one of the most principal cereal crops ranking first in production in Ethiopia, predominantly produced and consumed directly by the smallholder farmers in the Great Rift Valley (GRV) of Ethiopia. Common bean (Phaseolus vulgaris) is also the most important legume crops as the source of protein and export commodity in the GRV. However, the average maize and common bean yields in Ethiopia are still low due to abiotic, biotic and socioeconomic constraints. In this regard, Crop simulation models (CSMs) are used in predicting growth and yield of crops and associated yield gaps
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Shrestha, Umesh, Lal Prasad Amgain, Tika Bahadur Karki, and Khem Raj Dahal. "Simulation of growth and yield of rainfed maize under varied agronomic management and changing climatic scenario in Nawalparasi, Nepal." Journal of Maize Research and Development 1, no. 1 (2015): 123–33. http://dx.doi.org/10.3126/jmrd.v1i1.14250.

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Correction: Figure 3 was corrupted and so the PDF was replaced on 29th December 2016 with the corrected Figure 3.A field experiment and simulation modeling study in combination for different maize cultivars planted at different sowing dates were accomplished at Kawasoti-5, Nawalparasi during spring season of 2013 to assess the impact of climate change scenario as predicted by IPCC in rainfed spring maize by using CSM-CERES-Maize model. Result showed that RML-4/RML-17 produced higher kernel rows/ ear (13.77), kernel per row (30.42) and test weight (244.9 g). Significantly higher grain yield was
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Yang, Zhengyu, Gail G. Wilkerson, Gregory S. Buol, Daryl T. Bowman, and Ronnie W. Heiniger. "Estimating Genetic Coefficients for the CSM-CERES-Maize Model in North Carolina Environments." Agronomy Journal 101, no. 5 (2009): 1276–85. http://dx.doi.org/10.2134/agronj2008.0234x.

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Dissertations / Theses on the topic "CSM-CERES- Maize"

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Silva, Stefania Dalmolin da. "CALIBRAÇÃO E AVALIAÇÃO DO MODELO CSM-CERES-MAIZE PARA CULTIVARES CRIOULAS E MELHORADAS DE MILHO." Universidade Federal de Santa Maria, 2015. http://repositorio.ufsm.br/handle/1/7599.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico<br>Maize is an important crop of cereals around the world and one of the most mathematical models used to simulate the growth and development of maize is the CSM-Ceres-Maize model. However, the use of this model for open pollination varieties (landraces and improved) was not found in the literature. The objectives of this dissertation were (a) Calibrate the CSM-Ceres-Maize model available on the DSSAT v4.5 platform (Decision Support System for Agrotechnology Transfer) for two landrace maize cultivars ('Cinquentinha' and 'Bico de Our
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Yang, Zhengyu. "Estimating CSM-CERES-maize genetic coefficients and soil parameters and evaluating model response to varying nitrogen management strategies under North Carolina conditions." 2008. http://www.lib.ncsu.edu/theses/available/etd-07112008-120231/unrestricted/etd.pdf.

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Conference papers on the topic "CSM-CERES- Maize"

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Melo, Marina Luciana Abreu, Camilo Lelis Teixeira Andrade, Joao Carlos Ferreira Borges, Christoph Hermann Passos Tigges, Jennifer Alves Camilo, and Axel Garcia y Garcia. "<i>Sensitivity of CSM-CERES-Maize model to soil available water and impact on rainfed maize grown in the Brazilian Cerrado</i>." In 2018 Detroit, Michigan July 29 - August 1, 2018. American Society of Agricultural and Biological Engineers, 2018. http://dx.doi.org/10.13031/aim.201800953.

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