摘要
为利用小麦种子的近红外吸光度研究小麦品种的抗旱性,测定了40份旱地小麦品种的抗旱指数以及籽粒的全光谱吸光度值,并将两者关联,建立PLS近红外抗旱指数量化预测模型。结果表明,光谱吸光度值与供试材料抗旱指数相关系数2个年度均达到0.856*以上,建立的吸光度值和抗旱指数的矩阵公式预测样本的抗旱指数与标准值之间的相关系数达0.930**。研究结果表明,可以用小麦籽粒近红外全光谱吸光度值来预测小麦的抗旱性。为小麦抗旱性评价提供了一种能够在育种早代进行的快速、简单易行的抗旱性鉴定技术。
In order to identify the drought-tolerance of wheat according to the absorption of near-infrared diffuse reflectance spectroscopy,the integrated absorbance and drought-resistant index of 40 dryland wheat varieties were determined to construct the quantitative prediction model of drought-resistant index based on PLS. The results showed that the correlation coefficient between integrated absorbance and droughtresistant index was above 0. 856*,and the correlation coefficient between the drought resistant index predicted by the matrix formula and the standard value was 0. 930**. These findings suggested that the absorption of near-infrared diffuse reflectance spectroscopy could be used to predict the drought-resistant index of wheat,which might provide a rapid,effective and feasible method to estimate the drought tolerance ability of wheat materials during the early generation.
出处
《河南农业科学》
CSCD
北大核心
2015年第2期28-33,共6页
Journal of Henan Agricultural Sciences
基金
国家小麦产业体系(CARS-E-2-36)
河南省小麦产业体系(S2010-10-02)
国家科技支撑计划(2011BAD35B03)
河南省重大科技专项
关键词
小麦
抗旱性
近红外漫反射光谱
快速鉴定
wheat
drought tolerance
near-infrared diffuse reflectance spectroscopy
rapid identification