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首页> 外文期刊>HortScience >PREDICTION OF STARCH, MOISTURE, AND SUGAR IN SWEETPOTATO BY NEAR INFRARED TRANSMITTANCE
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PREDICTION OF STARCH, MOISTURE, AND SUGAR IN SWEETPOTATO BY NEAR INFRARED TRANSMITTANCE

机译:通过近红外透射预测甜菜中淀粉,水分和糖的含量

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Near infrared analysis,vas used to predict the starch, moisture, and sugar content in sliced fresh sweetpotato [Ipomoea batatas (L.) Lam,] storage roots, Samples were collected in each of three growing years, The best calibration equation for starch from combined samples (1989 to 1991) showed a multiple correlation coefficient (R) of 0.949, a standard error of calibration (sec) of 2.01, and a standard error of prediction (SEP) Of 1.91, The R, sec, and SEP for moisture and sugar were 0.930, 1.85, end 2.00, and 0.837, 1.30, and 1.21, respectively, Calibrations based on samples from a given year adequately predicted the variables but could not account for variances introduced by samples from other years, Multiyear calibrations based on several years of data adequately predicted starch and moisture content in root slices, Thus, multiyear calibrations with annual bias adjustments can be applied to screening sweetpotato breeding germplasm for these two variables.
机译:近红外分析,用于预测切成薄片的新鲜甘薯[Ipomoea batatas(L.)Lam]贮藏根中淀粉,水分和糖含量的容器,在生长的三年中每年都收集样品,最佳淀粉校准方程式为组合样本(1989年至1991年)的多重相关系数(R)为0.949,校准的标准误差(sec)为2.01,预测的标准误差(SEP)为1.91,水分的R,sec和SEP糖和糖分别为0.930、1.85、2.00和0.837、1.30和1.21,基于给定年份的样本的校准可以充分预测变量,但不能考虑其他年份的样本引入的方差,基于多个年份的多年校准多年的数据可以充分预测根片中的淀粉和水分含量,因此,可以对具有年度偏差的多年校准进行筛选,以筛查这两个变量的甘薯繁殖种质。

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