| 黄瓜耐湿冷性苗期综合评价预测方程的建立 |
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| 引用本文： | 丁圆圆,王曦奥,刘策,李淑菊,程智慧.黄瓜耐湿冷性苗期综合评价预测方程的建立[J].中国农业科技导报,2022,24(11):87-96. |
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| 作者姓名： | 丁圆圆 王曦奥 刘策 李淑菊 程智慧 |
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| 作者单位： | 1.西北农林科技大学园艺学院，陕西 咸阳 712100;2.天津科润黄瓜研究所，天津 300192 |
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| 基金项目： | 国家重点研发计划项目(2018YFD0100701) |
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| 摘 要： | 为建立黄瓜耐湿冷鉴定评价体系，利用人工气候箱设置湿冷环境处理，通过主成分析和隶属函数分析筛选黄瓜幼苗期耐湿冷性的形态和生理指标，通过逐步回归建立耐湿冷性预测方程。结果表明，黄瓜苗期耐湿冷性方程为：Y=0.492+0.032 I6-0.084 I4-0.029 I7，其中，Y代表综合耐湿冷能力，其值越高表明该品种的耐湿冷性越强；I4、I6和I7分别代表相对过氧化氢酶活性、相对脯氨酸含量和相对多酚氧化酶活性。验证分析表明，该预测方程的平均精确度为95.9%，可用于黄瓜耐湿冷性评价，为黄瓜耐湿冷育种和设施栽培提供了技术支持。
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| 关 键 词： | 黄瓜 耐湿冷性 鉴定指标 预测方程 |
| 收稿时间： | 2021-06-12 |
Establishment of Comprehensive Evaluation and Prediction Equation for Cucumber Wet-cold Tolerance at Seedling Stage |
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| Yuanyuan DING,Xi’ao WANG,Ce LIU,Shuju LI,Zhihui CHENG.Establishment of Comprehensive Evaluation and Prediction Equation for Cucumber Wet-cold Tolerance at Seedling Stage[J].Journal of Agricultural Science and Technology,2022,24(11):87-96. |
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| Authors: | Yuanyuan DING Xi’ao WANG Ce LIU Shuju LI Zhihui CHENG |
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| Institution: | 1.College of Horticulture，Northwest A&F University，Shaanxi Xianyang 712100，China;2.Tianjin Kernel Cucumber Research Institute，Tianjin 300192，China |
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| Abstract: | To establish the evaluation system of cucumber on wet-cold tolerance， the high humidity and low temperature environment was set in growth chambers. The morphological and physiological indexes of 20 cucumber varieties at seedling stage were determined for evaluating the wet-cold tolerance. And the prediction equation of cucumber wet-cold tolerance was established by principal component， membership function and stepwise regression analysis. The results showed that the prediction equation of cucumber wet-cold tolerance was established： Y=0.492+0.032 I6-0.084 I4-0.029 I7， in which， Y represented the comprehensive value， I4， I6 and I7 represented the relative values of catalase activity， proline content and polyphenol oxidase activity in the high humidity and low temperature environment and normal environment， respectively. The higher the Y value was， the more tolerant to wet-cold the cucumber would be. Validation analysis showed that the average accuracy of the prediction equation was 95.9%. It showed that the prediction equation could be used to evaluate wet-cold tolerance of cucumber， which provided technique supports for wet-cold tolerance breeding and cultivation of cucumber. |
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| Keywords: | cucumber wet-cold tolerance identification index prediction equation |
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