基于氮素和水分的冬小麦籽粒蛋白质含量监测

Monitoring wheat grain protein content based on nitrogen and water content

为了预测冬小麦籽粒蛋白质含量,该研究利用2003～2005年三年的试验数据构建了冬小麦籽粒蛋白质含量监测模型。该文分析了2003年、2004年冬小麦返青至挑旗期的冠层氮密度、等价水厚度与成熟期籽粒蛋白质含量的相关关系,并对以两年各自试验数据建立的监测籽粒蛋白质含量的回归模型进行比较进而找到最佳模型。结果表明,两年中都以基于返青期的冠层氮密度和等价水厚度的小麦籽粒蛋白质含量监测模型为最佳模型。综合两年的数据进行回归分析建立蛋白质含量监测模型,以2005年试验数据为独立样本对模型进行检验,该模型预测精度达到0.35,可以较好地指示成熟期籽粒蛋白质含量状况。

A model for estimating the winter wheat(Triticum aestivum L.)grain protein content(GPC)was described using data from three successive growing seasons(2003-2005)experiment.The correlation relationships between grain protein content at maturity,canopy leaf nitrogen density(CLNP)and equivalent water thickness(EWT)from reviving stage to flagging stage were analyzed in the year 2003 and 2004,respectively.Regression models for monitoring the grain protein content based on each year’s data were compared respectively with purpose of finding the model with the best performances for each year.Results indicted that both the models based on canopy leaf nitrogen density and equivalent water thickness at reviving stage in the two-year experiment gave the best predictions.Regression analysis was conducted to construct the final model combining the two-year data.This model was validated using independent experimental data in 2005,the prediction accuracy reaches 0.35.The results suggest that grain protein content can be well estimated by the model.