The aim of this study was to construct near‐infrared reflectance spectroscopy (NIRS) models to test the contents of apparent amylose, total starch, and crude protein for both foxtail millet grain and dehusked millet grain. The construction of models is based on chemical values and optimized spectral data of 111 core foxtail millet germplasm materials after analyzation of partial least square (PLS) method with cross‐validation.

中文翻译：

---

利用近红外反射光谱法快速预测谷子（Setaria italica）的表观直链淀粉，总淀粉和粗蛋白

这项研究的目的是构建近红外反射光谱（NIRS）模型，以测试狐尾谷粒和去壳谷粒的表观直链淀粉，总淀粉和粗蛋白的含量。模型的建立基于偏最小二乘（PLS）方法和交叉验证后的111种核心谷尾种质材料的化学值和优化的光谱数据。