Genetic Parameter Debugging for Spring Maize in Jilin Based on CERES-Maize Model

doi:10.11924/j.issn.1000-6850.casb16080028

Abstract

Abstract: To simulate the growth and yield of spring maize with the CERES-Maize model, main spring maize genetic parameters of Jilin must be determined. Genetic parameters were debugged and verified based on the observed experimental data, weather and soil data of main spring maize varieties‘Jidan159’and‘Xianyu 335’. The results showed that the measured and simulated value of the two spring maize varieties at growth stage both scattered around with 1:1 line. TheRMSE value of days from planting to flowering and from planting to maturity of‘Jidan159’was 3.78 and 10.90, respectively. The RMSE value of days from planting to emergence, from planting to flowering, and from planting to maturity of‘Xianyu335’was 1.12, 3.20 and 4.85, respectively. Simulated and measured value of top weight andLAI of the two spring maize varieties were closed at heading stage, followed by the biggest difference at three-leaf and seven-leaf stages. TheRRMSE value of yield of‘Jidan159’and‘Xianyu335’was 4.31% and 4.81%, respectively. It indicated that CERES-Maize model was better for simulating the growth stage and yield of spring maize in Jilin, the simulating of the above ground biomass came the second, and the simulating ofLAI was ordinary. In conclusion, CERES-Maize model could be applied to evaluating the effect of climate change on spring maize in Jilin Province.

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