晚霜冻影响下冬小麦冠层光谱特征与株高要素变化关系

发布时间：2018-07-26 17:18

【摘要】：冬小麦遭受晚霜冻害后,生理生态方面会发生显著变化,其中又以株高要素的变化最为显著。提取了包括红边位置、红边振幅在内的15个光谱特征参数,以及包括株高、穗长、穗下节间长和倒二节间长变化率4个株高要素,通过相关分析,筛选出与光谱特征相关性最好的株高变化率参数,并建立逐步回归模型。结果表明:仅有株高变化率在2013和2014年两期试验中均与光谱特征参数达到显著相关;将两期试验数据合并后,则穗长、穗下节间长和倒二节间长的变化率也均达到显著相关。综合考虑模型的Adj.R~2和显著性水平(Sig.)可知,模型拟合效果最好的是穗长变化率,其次是株高,穗下节间和倒二节间长变化率。比较模型的RMSE可知,模型预测精度最高的是穗下节间长变化率。该研究对在冻害胁迫条件下用光谱特征参数预测小麦株高各要素的变化提供了很好的参考,对研究晚霜冻害低温胁迫下冬小麦株高要素变化的规律具有指示性意义。
[Abstract]:After winter wheat was frozen by late frost, the physiological and ecological changes were significant, especially the change of plant height. Fifteen spectral characteristic parameters including red edge position and red edge amplitude were extracted, and 4 plant height factors including plant height, ear length, subpanicle Internode length and upper-second Internode length change rate were extracted, and the correlation analysis was carried out. The parameters of plant height change rate with the best correlation with spectral characteristics were selected and a stepwise regression model was established. The results showed that the change rate of plant height was significantly correlated with the spectral characteristic parameters in 2013 and 2014, and the change rates of panicle length, subpanicle Internode length and second Internode length were significantly correlated with the data of the two periods. Adj.R~2 and significant level (Sig.) considering the Model The results showed that the best fitting effect was the change rate of ear length, followed by plant height, subpanicle Internode and the last second Internode length. Compared with the RMSE of the model, the best prediction accuracy of the model is the rate of change of Internode length under panicle. This study provides a good reference for predicting the variation of plant height elements in winter wheat with spectral characteristic parameters under the condition of freezing injury, and it is instructive to study the variation regularity of plant height elements of winter wheat under late frost freezing and low temperature stress.
【作者单位】：农业部农业环境重点实验室中国农业科学院农业环境与可持续发展研究所;商丘市农林科学院小麦研究所;
【基金】：公益性行业(农业)科研专项(201503116) 国家自然科学基金青年科学基金项目(31101074,51109214)资助
【分类号】：S425;S512.11

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