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利用小麦叶片SPAD值预测小麦种子蛋白质含量的研究

[Study on predicting protein content of wheat seeds by using wheat leaves SPAD value].

作者信息

Gao Fei, Xiao Jing, Gu Yun-hong, Jiao Zhen, Jin Qing-sheng

机构信息

Henan Province Ion Beam Bio-engineering Key Laboratory, Zhengzhou University, Zhengzhou 450052, China.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2012 May;32(5):1350-4.

Abstract

The present paper is to study and build the rapid nondestructive prediction technique of wheat grain quality in the pre-harvest period, The analysis of SPAD value aimed at five different periods from the first leaf to the 4th leaf to obtain SPAD values with the sampling period and the changes of leaf using 31 kinds of wheat materials, near infrared spectroscopy was used for the determination of protein of the grain And the leaf SPAD values and maturity correlation of grain protein content were established. It was found that decreasing rate of the top leaf SPAD and grain protein content showed significant negative correlation y = -3.2109x + 14.286, linear regression equation is y = -3.2109x + 14.286, and correlation coefficient is r = -0.8490. With significant analysis, we assume that there is a very significant linear correlation between decreasing rate of the top leaf SPAD value and grain protein content. So we can use decreasing rate of the top leaf SPAD values to predict the protein content of grain

摘要

本文旨在研究并建立小麦收获前籽粒品质快速无损预测技术,针对31种小麦材料,分析从第一片叶到第四片叶五个不同时期的SPAD值,以获取随采样时期和叶片变化的SPAD值,利用近红外光谱法测定籽粒蛋白质含量,并建立叶片SPAD值与籽粒蛋白质含量的成熟度相关性。结果发现,顶部叶片SPAD值下降速率与籽粒蛋白质含量呈显著负相关,线性回归方程为y = -3.2109x + 14.286,相关系数r = -0.8490。经显著性分析,我们假设顶部叶片SPAD值下降速率与籽粒蛋白质含量之间存在极显著线性相关。因此,可以利用顶部叶片SPAD值下降速率来预测籽粒蛋白质含量。

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