花生籽仁蔗糖含量近红外模型构建及在高糖品种培育中的应用
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雷永, 王志慧, 淮东欣, 高华援, 晏立英, 李建国, 李威涛, 陈玉宁, 康彦平, 刘海龙, 王欣, 薛晓梦, 姜慧芳, 廖伯寿
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Development and application of a near infrared spectroscopy model for predicting high sucrose content of peanut seed
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LEI Yong, WANG Zhi-Hui, HUAI Dong-Xin, GAO Hua-Yuan, YAN Li-Ying, LI Jian-Guo, LI Wei-Tao, CHEN Yu-Ning, KANG Yan-Ping, LIU Hai-Long, WANG Xin, XUE Xiao-Meng, JIANG Hui-Fang, LIAO Bo-Shou
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表3 花生种子蔗糖含量近红外模型的验证
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Table 3 Validation of near infrared model for sucrose content in peanut seed (%)
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样品编号 Sample ID | 化学值 Chemical value | 预测值 Prediction value | 偏差 Deviation | 样品编号 Sample ID | 化学值 Chemical value | 预测值 Prediction value | 偏差 Deviation | ST01 | 0.780 | 1.263 | 0.483 | ST11 | 2.220 | 2.563 | 0.343 | ST02 | 0.818 | 1.256 | 0.438 | ST12 | 2.320 | 2.810 | 0.490 | ST03 | 9.030 | 7.590 | -1.440 | ST13 | 6.520 | 6.152 | -0.368 | ST04 | 0.940 | 1.174 | 0.234 | ST14 | 2.570 | 3.290 | 0.720 | ST05 | 1.021 | 1.234 | 0.213 | ST15 | 2.910 | 2.696 | -0.214 | ST06 | 1.078 | 0.716 | -0.362 | ST16 | 3.020 | 3.730 | 0.710 | ST07 | 1.119 | 1.164 | 0.045 | ST17 | 3.370 | 3.213 | -0.157 | ST08 | 1.246 | 0.927 | -0.320 | ST18 | 3.540 | 2.982 | -0.558 | ST09 | 4.773 | 5.268 | 0.495 | ST19 | 4.045 | 4.518 | 0.473 | ST10 | 1.851 | 2.246 | 0.395 | ST20 | 5.206 | 4.706 | -0.500 |
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