RELATIONSHIP BETWEEN DRY MATTER CONTENTS AND METABOLIC ENZYMES DURING POTATO TUBER ENLARGEMENT
文献类型: 外文期刊
作者: Han, Zhongca 1 ; Song, Shuyao 1 ; Zhang, Shenli 1 ; Yu, Cuixiang 1 ; Xu, Fei 1 ; Sun, Jing 1 ; Zheng, Bin 1 ; LI, Yanjun 1 ;
作者机构: 1.Jilin Agr Univ, Coll Hort, Jilin, Jilin, Peoples R China
2.Jilin Acad Vegetable & Flower Sci, Changchun, Jilin, Peoples R China
3.Jilin Acad Agr Sci, Changchun, Jilin, Peoples R China
关键词: Potato dry matter; Metabolic enzymes; Principal component; Linear regression equation
期刊名称:BANGLADESH JOURNAL OF BOTANY ( 影响因子:0.339; 五年影响因子:0.34 )
ISSN: 0253-5416
年卷期: 2021 年 50 卷 2 期
页码:
收录情况: SCI
摘要: To explore the relationship between the dry matter contents of potato tubers and metabolic enzymes, an experiment was designed. Ten individual indicators, including metabolic enzymes, could be reduced to 4 comprehensive indicators by using a principal component analysis. Using these 4 components as independent variables (X) and the dry matter content as the dependent variable (Y), the following linear regression equation was obtained: Y = -51.802 -1.022X(5) -0.034X(6) + 0.872X(9) + 0.286X(10) (R-2 = 0.889, P = 0.012). In a comparison between the dry matter contents (22.74, 16.58 and 20.72%) calculated according to the equation and the measured value (22.96, 17.09 and 19.75%), the absolute error was 1% and the estimation accuracy was > 95%. These results indicated that the linear regression equation can be used to predict accurately and quickly the dry matter contents during the tuber enlargement stage.
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