中国水稻科学

• 研究报告 • 上一篇    下一篇

水稻冠层反射光谱特征与籽粒品质指标的相关性研究

薛利红; 曹卫星; 李映雪; 周冬琴; 李卫国   

  1. 南京农业大学 农业部作物生长调控重点开放实验室, 江苏 南京 210095
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2004-09-10 发布日期:2004-09-10

Relationship between Canopy Spectral Reflectance Characteristics and Grain Quality Traits in Rice

XUE Li-hong; CAO Wei-xing; LI Ying-xue; ZHOU Dong-qin; LI Wei-guo   

  1. Key Laboratory of Crop Growth Regulation; Ministry of Agriculture; Nanjing Agricultural University; Nanjing 210095; China
  • Received:1900-01-01 Revised:1900-01-01 Online:2004-09-10 Published:2004-09-10

摘要: 系统分析了水稻籽粒加工品质、外观品质、营养品质等与水稻冠层反射光谱特征之间的相关性。结果表明,成熟期冠层反射光谱指数与水稻籽粒加工品质呈显著负相关,尤其是1650 nm和660 nm的比值和归一化组合,决定系数高达0.8以上。籽粒的外观品质与冠层光谱特征之间的关系不明显。籽粒蛋白质含量则与大多数生育时期的冠层光谱比值指数和归一化指数呈极显著相关,相关系数多在0.80以上;而淀粉含量与灌浆盛期的710 nm和660 nm的比值和归一化组合相关性最好。说明通过遥感手段来预测水稻籽粒的加工品质和营养品质指标是可行的。

关键词: 水稻, 冠层反射光谱, 比值指数, 归一化指数, 籽粒品质, 遥感技术

Abstract: Relationships of grain quality traits including milling quality, appearance quality and nutrition quality to canopy spectral reflectance, ratio and normalized difference indices in rice were investigated. Grain milling quality of rice were significantly negative correlated to ratio index and normalized difference index at maturity stage, especially to the ratio index and normalized index of 1650 nm and 660 nm with the determination coefficient higher than 0.80. The correlation between grain appearance quality and spectral reflectance characteristics were only slight but not significant. Most of the correlation coefficients between grain protein content and ratio indices and normalized difference indices were higher than 0.80, significant at 0.01 level. While grain starch content was most significantly correlated with the ratio index and normalized index of 710 nm and 660 nm at filling stage with correlation coefficients of 0.69 and 0.71. These results suggested that it was feasible to monitor and predict main grain quality in rice by using remote sensing technique.

Key words: rice, canopy reflectance spectra, ratio index, normalized difference index, grain quality, remote sensing