【摘要】：建立近紅外漫反射光譜法測定谷子中的蛋白質(zhì)和淀粉含量,提供一種快速、簡便、無損的分析方法進(jìn)行谷子品種資源鑒定和篩選。以191份山西核心谷子種質(zhì)為材料,采用近紅外漫反射光譜法建立谷子蛋白質(zhì)和淀粉含量的快速檢測模型。結(jié)果表明,采用一階導(dǎo)數(shù)+矢量歸一化光譜預(yù)處理,分別建立谷子蛋白質(zhì)和淀粉含量的校正模型,模型的校正決定系數(shù)(R~2_(cal))分別為0.977 0和0.907 3,交叉驗(yàn)證均方根誤差分別為0.203%和0.466%,外部驗(yàn)證決定系數(shù)(R~_(2val))分別為0.989 6和0.977 2,預(yù)測均方根誤差分別為0.225%和0.368%。對于谷子蛋白質(zhì)和淀粉的預(yù)測,化學(xué)法和近紅外儀器法測定間無顯著差異,近紅外測定結(jié)果是準(zhǔn)確可靠的。說明采用近紅外漫反射光譜分析技術(shù)能夠滿足對谷子蛋白質(zhì)和淀粉含量的檢測。
[Abstract]:A near infrared diffuse reflectance spectroscopy (NIR) was established for the determination of protein and starch content in millet. A rapid, simple and nondestructive analysis method was provided for the identification and screening of millet variety resources. Using 191 Shanxi core millet germplasm as materials, a rapid detection model of protein and starch content of millet was established by near infrared diffuse reflectance spectroscopy (NIR). The results showed that the calibration models of protein and starch content of millet were established by the first derivative vector normalization spectral pretreatment. The calibration coefficients (R _ (2 _ (cal) of the model were 0.977 and 0.907, respectively, and the calibration coefficients of the model were 0.977 and 0.907, respectively. The root mean square error (RMS) of cross validation was 0.203% and 0.466%, the coefficient of determination (2val) of external validation was 0.989 6 and 0.977 2 respectively, and the root mean square error of prediction was 0.225% and 0.368% respectively. For the prediction of protein and starch of millet, there is no significant difference between chemical method and near infrared instrument method. The results of near infrared determination are accurate and reliable. The results showed that the method of near infrared diffuse reflectance spectroscopy (NIR) could be used to detect protein and starch content of millet.
【作者單位】： 山西省農(nóng)業(yè)科學(xué)院農(nóng)作物品種資源研究所;農(nóng)業(yè)部黃土高原作物基因與種質(zhì)創(chuàng)制重點(diǎn)實(shí)驗(yàn)室;雜糧種質(zhì)資源發(fā)掘與遺傳改良山西省重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家谷子高粱產(chǎn)業(yè)技術(shù)體系谷子糜子生理崗位項(xiàng)目(CARS-06-13.5-A16) 國家農(nóng)作物種質(zhì)資源平臺山西作物子平臺項(xiàng)目(NICGR2016-02) 山西省農(nóng)作物種質(zhì)資源鑒定評價(jià)研究項(xiàng)目(2017ZZCX-17) 山西省省級財(cái)政支農(nóng)專項(xiàng)(2016ZYZX41)
【分類號】：O657.3;TS210.7

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