Simulation of maize growth under different sowing times and deficit irrigation conditions
Simulation models of crops are referred as an efficient complement for the experimental study. Also crop simulation models can be useful for making appropriate decisions on agricultural systems. So this study aimed to simulate the growth of maize under different sowing times and deficit irrigation...
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| Format: | Article |
| Language: | English |
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Universidade Federal de Uberlândia
2016-10-01
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| Series: | Bioscience Journal |
| Subjects: | |
| Online Access: | https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/33239 |
| _version_ | 1818287990678487040 |
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| author | Fayaz Aghayari Farzad Paknejad Mohammad Nabi Ilkaee |
| author_facet | Fayaz Aghayari Farzad Paknejad Mohammad Nabi Ilkaee |
| author_sort | Fayaz Aghayari |
| collection | DOAJ |
| description |
Simulation models of crops are referred as an efficient complement for the experimental study. Also crop simulation models can be useful for making appropriate decisions on agricultural systems. So this study aimed to simulate the growth of maize under different sowing times and deficit irrigation conditions, using the Decision Support System for Agrotechnology Transfer (DSSAT) model in 2014 year. This study was conducted in the research field of Islamic Azad University of Karaj in 2013 year. The experiment was designed in a split-block with four replications. Treatments included four sowing times of April 30 (S1), May 20 (S2), June 10 (S3), and June 27 (S4) in the main plots and three irrigation levels of 40% available water depletion (W1), 60% available water depletion (W2), and 80% available water depletion in the sub-plots. Root Mean Square Error (RMSE) of grain yield for all four sowing times on three levels of irrigation in Karaj region varied from 581.43 to 1,990.81 kg per hectare. It was also calculated the model efficiency coefficient (d) ranged 0.87-0.98 for the trait. The RMSE of the total dry matter was determined 861.88-2,173.66 kg per hectare; that was while R2 (1:1) of total dry weight varied 0.89-0.98. The results indicate that the model's ability to predict dry matter yield of maize is good enough.
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| first_indexed | 2024-12-13T01:49:16Z |
| format | Article |
| id | doaj.art-d7920441a6ba4c80a2b6325226a19000 |
| institution | Directory Open Access Journal |
| issn | 1981-3163 |
| language | English |
| last_indexed | 2024-12-13T01:49:16Z |
| publishDate | 2016-10-01 |
| publisher | Universidade Federal de Uberlândia |
| record_format | Article |
| series | Bioscience Journal |
| spelling | doaj.art-d7920441a6ba4c80a2b6325226a190002022-12-22T00:03:33ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632016-10-01325Simulation of maize growth under different sowing times and deficit irrigation conditions Fayaz Aghayari0Farzad Paknejad1Mohammad Nabi Ilkaee2Department of Agronomy, Karaj Branch, Islamic Azad University, Karaj, IranDepartment of Agronomy, Karaj Branch, Islamic Azad University, Karaj, IranDepartment of Agronomy, Karaj Branch, Islamic Azad University, Karaj, Iran Simulation models of crops are referred as an efficient complement for the experimental study. Also crop simulation models can be useful for making appropriate decisions on agricultural systems. So this study aimed to simulate the growth of maize under different sowing times and deficit irrigation conditions, using the Decision Support System for Agrotechnology Transfer (DSSAT) model in 2014 year. This study was conducted in the research field of Islamic Azad University of Karaj in 2013 year. The experiment was designed in a split-block with four replications. Treatments included four sowing times of April 30 (S1), May 20 (S2), June 10 (S3), and June 27 (S4) in the main plots and three irrigation levels of 40% available water depletion (W1), 60% available water depletion (W2), and 80% available water depletion in the sub-plots. Root Mean Square Error (RMSE) of grain yield for all four sowing times on three levels of irrigation in Karaj region varied from 581.43 to 1,990.81 kg per hectare. It was also calculated the model efficiency coefficient (d) ranged 0.87-0.98 for the trait. The RMSE of the total dry matter was determined 861.88-2,173.66 kg per hectare; that was while R2 (1:1) of total dry weight varied 0.89-0.98. The results indicate that the model's ability to predict dry matter yield of maize is good enough. https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/33239MaizeCERES-Maize modelYieldSimulation |
| spellingShingle | Fayaz Aghayari Farzad Paknejad Mohammad Nabi Ilkaee Simulation of maize growth under different sowing times and deficit irrigation conditions Bioscience Journal Maize CERES-Maize model Yield Simulation |
| title | Simulation of maize growth under different sowing times and deficit irrigation conditions |
| title_full | Simulation of maize growth under different sowing times and deficit irrigation conditions |
| title_fullStr | Simulation of maize growth under different sowing times and deficit irrigation conditions |
| title_full_unstemmed | Simulation of maize growth under different sowing times and deficit irrigation conditions |
| title_short | Simulation of maize growth under different sowing times and deficit irrigation conditions |
| title_sort | simulation of maize growth under different sowing times and deficit irrigation conditions |
| topic | Maize CERES-Maize model Yield Simulation |
| url | https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/33239 |
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