种子2025，Vol.44Issue(7)：240-245,6.DOI:10.16590/j.cnki.1001-4705.2025.07.240
玉米籽粒角质率近红外光谱快速定量检测研究
Rapid Quantitative Detection for Vitreous Endosperm Ratio of Maize Kernel Using Near Infrared Reflectance Spectroscopy
摘要
Abstract
The vitreous endosperm ratio of maize kernels was a key indicator for evaluating the quality of maize(Zea mays L.).In view of the problems such as large errors,poor universality or the need to damage seeds in the existing detection methods,324 maize inbred lines were used as materials.Com-bined with near-infrared spectroscopy technology and linear partial least squares regression method,non-destructive detection models for vitreous endosperm ratio and floury endosperm ratio of maize kernels were established.Both models had high prediction accuracy and good stability(R2val>0.900,RPDp>3.000).The research results provided a reliable method for the rapid,non-destructive and high-throughput detection for vitreous endosperm ratio of maize kernels,which had important theo-retical significance and application value for maize breeding and quality improvement.关键词
玉米/近红外光谱技术/角质率/粉质率/偏最小二乘回归法(PLSR)Key words
Zea mays L./near infrared spectrum technology/vitreous endosperm ratio/floury endosperm ratio/partial least squares regression(PLSR)分类
农业科技引用本文复制引用
张亚军,谷淑波,李颖,冀春晓,王烨,赵雅琴,赵林茂,王庆康,宋宪亮,郭启芳..玉米籽粒角质率近红外光谱快速定量检测研究[J].种子,2025,44(7):240-245,6.基金项目
山东省现代农业产业技术体系建设项目"玉米产业创新团队"(SDAIT-02-02) （SDAIT-02-02）
国家自然科学基金项目"液泡膜水通道蛋白调控玉米种子活力的机理研究"(31801450) （31801450）
山东省本科教学改革研究项目"基于科研创新平台构建'双创四驱'培养模式的研究与实践"(M2023200) （M2023200）
山东农业大学校级教改项目"近红外光谱检测农作物品质指标的模型构建实验教学研究——以玉米籽粒角质率为例"(XM2023003) （XM2023003）
