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中国农学通报

中国农学通报 ›› 2017, Vol. 33 ›› Issue (24): 12-19.doi: 10.11924/j.issn.1000-6850.casb16080028

所属专题： 玉米

• 农学 农业基础科学 • 上一篇    下一篇

基于CERES-Maize模型的吉林春玉米遗传参数调试

刘玉汐,赵 柠,任景全,郭春明,李建平   

  1. 吉林省气象台,黑龙江省气象台,吉林省气象科学研究所,吉林省气象科学研究所,吉林省气象科学研究所
  • 收稿日期:2016-08-05 修回日期:2017-08-14 接受日期:2016-10-25 出版日期:2017-09-05 发布日期:2017-09-05
  • 通讯作者: 任景全
  • 基金资助:
    吉林省气象局青年基金项目“CERES-Maize 模型在吉林省本地化及应用”(2014006)；吉林省气象局任务下达课题“吉林省农业气象与遥感 产品超市系统开发”(2015016)；公益性行业（气象）科研专项“东北地区春玉米农业气象指标体系研究”(GYHY201206018)。

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

  • Received:2016-08-05 Revised:2017-08-14 Accepted:2016-10-25 Online:2017-09-05 Published:2017-09-05

摘要： 为了应用CERES-Maize模型模拟吉林春玉米生长发育和产量形成，需要确定主栽春玉米品种的遗传参数。采用晚熟春玉米品种‘吉单159’和‘先玉335’多年田间观测数据和同期气象、土壤等数据进行遗传参数调试，并对模型的模拟效果进行验证。结果表明：2个春玉米品种生育期的模拟值和实测值散点均在1:1线周围。‘吉单159’播种至开花天数和播种至成熟天数RMSE值分别为3.78和10.90。‘先玉335’播种至出苗天数、播种至开花天数和播种至成熟天数RMSE值分别为1.12、3.20和4.85。2个品种春玉米的地上部生物量和叶面积指数的模拟值与实测值均在抽雄期接近，三叶期和七叶期差异最大。‘吉单159’和‘先玉335’产量的RRMSE值分别为4.31%和4.81%。说明CERES-Maize模型对吉林春玉米生育期和产量模拟效果较好，地上部生物量次之，叶面积指数一般，模型能够应用于该地区气候变化对春玉米影响的评价。

关键词: 玉米, 玉米, 茎尖, 再生体系, 敏感性

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.