易永,李民华,吴重池,黄安凤,张伟.怀化冰糖橙可溶性固形物气候品质等级评价[J].中国南方果树,2024,53(5): |
怀化冰糖橙可溶性固形物气候品质等级评价 |
Evaluation of the Climatic Quality Grade Model of Soluble Solids content of Citrus sinensis osbeck in huaihua |
投稿时间:2023-10-11 修订日期:2023-11-23 |
DOI:10.13938/j.issn.1007-1431.20230494 |
中文关键词: 冰糖橙;可溶性固形物(SSC) 气候品质 指数模型;等级划分;怀化 |
英文关键词:Citrus Sinensis Osbeck Soluble Solids Content(ssc) Climate quality Rank division Exponential model Huaihua |
基金项目:湖南省气象局重点科研课题(XQKJ20A003)资助 |
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中文摘要: |
为客观定量评价天气气候对怀化冰糖橙可溶性固形物(SSC)的影响,应用怀化地区麻阳和洪江2015年到2022年连续8年冰糖橙SSC资料,采用逐步回归、多元线性回归、聚类分析等统计方法,构建冰糖橙SSC综合气候品质指数(Iocq)模型,划分冰糖橙SSC 的Iocq等级。得到 7月中旬~9月中旬日较差、06月中旬~10月上旬降水量和8月中旬~9月中旬日照时数为影响冰糖橙SSC含量的关键气象因子,因子影响权重系数分别为0.46、0.34、0.20。参照湖南冰糖橙品质等级标准,得到Iocq≥2.4为特优果,2.4>Iocq≥1.6为优等果,1.6>Iocq≥0.6为一等果,0.6>Iocq为二等果。该SSC综合气候品质评价模型回代检验准确率为93.8%,实测检验2019~2021年中方县桐木镇冰糖橙SSC综合气候品质等级结果完全正确,该模型可应用于冰糖橙SSC品质评价实践。 |
英文摘要: |
In order to evaluate objectively and quantitatively the influence of weather and climate on soluble solid (SSC) of Citrus sinensis osbeck in huaihua,Applied the SSC data of Mayang and Hongjiang in Huaihua area for 8 consecutive years from 2015 to 2022,Used Statistical methods such as stepwise regression, multiple linear regression and cluster analysis,Established Index model of Comprehensive Climate Quality(Iocq) of SSC,Divided the Iocq level of SSC.Concluded:The diurnal range from mid-July to mid-September,the precipitation from mid-June to early October and the sunshine duration from mid-August to mid-September are the key meteorological factors of SSC climate quality, the weight coefficients of various meteorological indicators affecting SSC were 0.46, 0.34, and 0.20 respectively, Refer to quality grade standard of Citrus sinensis osbeck in hunan,when Iocq≥ 2.4 is super excellent fruit, when 2.4>Iocq≥1.6 is an superior fruit,when 1.6>Iocq≥0.6 is a first-class fruit, and when 0.6> Iocq is a second-class fruit.The regression accuracy of the SSC climate quality evaluation method is 93.8%,The results of SSC comprehensive climate quality assessment of Citrus sinensis osbeck in Tongmu Town of Zhongfang County from 2019 to 2021 year are completely correct, The model can be applied to the SSC quality evaluation practice of SSC. |
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