基于水稻种粒高光谱的品质性状预测方法  

A method for predicting rice quality based on hyperspectral analysis of rice seed

作　　者：赵爽[1] 宋京燕 陈国兴[1] 宋鹏 冯慧 杨万能[1] ZHAO Shuang;SONG Jingyan;CHEN Guoxing;SONG Peng;FENG Hui;YANG Wanneng(National Key Laboratory of Corp Genetic Improvement,Huazhong Agricultural University,Wuhan 430070,China;College of Informatics,Hubei Key Laboratory of Agricultural Bioinformatics,Huazhong Agricultural University,Wuhan 430070,China)

机构地区：[1]华中农业大学作物遗传改良全国重点实验室,武汉430070 [2]华中农业大学信息学院/农业生物信息湖北省重点实验室,武汉430070

出　　处：《华中农业大学学报》2023年第3期211-219,共9页Journal of Huazhong Agricultural University

基　　金：国家自然科学基金联合基金项目(U21A20205);中央高校基本科研业务费专项(2662021JC008)。

摘　　要：为探究作物种子品质性状无损检测方法,以100份水稻核心种质资源为试验材料,基于近红外高光谱相机采集水稻种粒的透射、反射光谱数据并提取光谱参数,水稻种粒脱壳后使用近红外谷物分析仪测定米粒品质;以水稻种粒光谱参数为自变量、米粒品质指标为因变量,建立米粒品质预测模型。结果显示,使用单一光谱建模时,透射光谱建模效果优于反射光谱建模效果;结合透射-反射特征光谱集合建模可使粗蛋白预测模型R2从0.74提高至0.91,可使直链淀粉预测模型R2从0.40提高至0.69,可使水分预测模型R2从0.53提高至0.68。结果表明,使用水稻种粒光谱参数可无损预测稻米品质,同时利用透射、反射光谱可提升建模效果。The content of amylose,crude protein and water is an important index to measure the quality of rice grain.The transmittance and reflectance spectral data of rice grains from 100 rice core germplasm resources were collected using a near-infrared hyperspectral camera,and the spectral parameters were extracted to study the method for the non-destructive testing of quality traits in rice seed.Index of rice quality components was measured using a near infrared grain analyzer after the rice kernel was shelled.A model for predicting index of rice quality was established using the spectral parameters of rice grains as independent variables and index of rice quality as dependent variables.The results showed that the modeling effect of transmission spectrum was better than that of reflection spectrum when a single spectral model was used.Combined with characteristic spectral sets of transmission and reflection,the R2 of the model for predicting crude protein,amylose and water was increased from 0.74 to 0.91,from 0.40 to 0.69,and from 0.53 to 0.68,respectively.It is indicated that the modeling effect can be improved by using both spectrum of transmission and reflection,and index of rice quality can be predicted nondestructively by using the spectral parameters of rice grains.

关 键 词：水稻 稻米品质 无损检测 高光谱 预测模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TS210.7[自动化与计算机技术—计算机科学与技术]