首页> 外文期刊>Research Journal of Agronomy >Effect of Varying Temperature and Thermal Amplitude on Phenological Accumulated Heat Units for Mediterranean Wheat
【24h】

Effect of Varying Temperature and Thermal Amplitude on Phenological Accumulated Heat Units for Mediterranean Wheat

机译:温度和热振幅的变化对地中海小麦物候累积热量单位的影响

获取原文
       

摘要

Phenological records obtained for wheat (Triticum durum Desf., cv Karim ) sown at 26 different dates around the year in no limiting water and nutrient conditions were used to investigate the predictive ability of the accumulation heat models and their sensitivity to thermal amplitude. Monitoring of days of Emergence (E), Tiller initiation (T), Jointing (J), Heading (H) and Maturity (M) and meteorological data concerned two different thermal regimes sites: Tunis (18 series) and Kef (8 series). Results show the performance of seven phenology models: the Number of calendar Days (ND), Growing Degree-Days (GDD), Modified Growing Degree-Days (MGDD), Photothermal Units (PTU), Solar Radiation (SR), Solar Thermal Units (STU) and Simplified Beta Function (SFB). For the seeding-emergence and emergence-tiller initiation stages, the GDD gave the best result with significantly the same average index value for the two stations. Because the rate of development is a linear function of temperature, there is no effect of thermal amplitudes on model performances. However, in the case of all phenological phases following tiller initiation all the tested models are sensitive to thermal amplitude presenting significantly different average indices values for the two stations which bring as to conclude that the temperature-growth relationships are non linear. The adjustment of the heat unit models with mathematical functions of thermal amplitudes improves their predictive accuracy. The adjusted thermal indices give significantly the same average values with less variability.
机译:在一年中的26个不同日期播种的小麦(Triticum durum Desf。,cv Karim)的物候记录用于限制水分和养分条件下,用于研究累积热模型的预测能力及其对热振幅的敏感性。监测出现的天数(E),分initiation启动(T),节理(J),航向(H)和成熟度(M)以及气象数据涉及两个不同的热情位置:突尼斯(18系列)和Kef(8系列) 。结果显示了七个物候模型的性能:日历天数(ND),生长天数(GDD),修改过的生长天数(MGDD),光热单位(PTU),太阳辐射(SR),太阳热能单位(STU)和简化的Beta函数(SFB)。在播种和出苗分initiation启动阶段,GDD给出了最好的结果,两个站的平均指数值明显相同。因为发展速度是温度的线性函数,所以热振幅对模型性能没有影响。但是,在分till开始后的所有物候期中,所有测试的模型对热振幅都很敏感,这两个站的平均指数值明显不同,从而得出温度-增长关系为非线性的结论。用热振幅的数学函数对加热单元模型进行调整可提高其预测精度。调整后的热指数给出了几乎相同的平均值,且变化较小。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号