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基于熵权秩和比法的马铃薯营养价值评价研究
引用本文:马云倩,王秀丽,孙君茂,郭燕枝.基于熵权秩和比法的马铃薯营养价值评价研究[J].中国农业科技导报,2016,18(6):175-180.
作者姓名:马云倩  王秀丽  孙君茂  郭燕枝
作者单位:农业部食物与营养发展研究所, 北京 100081
基金项目:中国农业科学院科技创新工程项目(CAAS-ASTIP-2016-IOFAND),公益性行业(农业)科研专项(201503001)资助。
摘    要:全世界马铃薯品种繁多,单在中国主栽的品种超过80个,不同主栽品种营养成分及含量有所差异。在国家马铃薯主粮化战略背景下,改善居民膳食营养是重要目标之一。因此,评价并筛选出营养更加全面、丰富的马铃薯品种,意义重大。选取甘肃定西主栽的7个马铃薯为研究对象,通过构建熵权秩和比RSR法,对其品种间营养素差异进行定量评价。结果表明,陇薯8号营养价值最优,其次是陇薯3号和陇薯6号。该方法除用于马铃薯营养价值评价,还可以针对其他农产品,如谷类、水果、蔬菜、肉、蛋、奶等进行评价,应用广泛,效果较好。

关 键 词:马铃薯主粮化  营养价值  熵权秩和比法  评价  

Evaluation Study on the Nutrition of Potato Varieties Based on the Entropy Weight Rank Sum Ratio
MA Yun-qian,WANG Xiu-li,SUN Jun-Mao,GUO Yan-zhi.Evaluation Study on the Nutrition of Potato Varieties Based on the Entropy Weight Rank Sum Ratio[J].Journal of Agricultural Science and Technology,2016,18(6):175-180.
Authors:MA Yun-qian  WANG Xiu-li  SUN Jun-Mao  GUO Yan-zhi
Institution:Institute of Food and Nutrition Development, Ministry of Agriculture, Beijing 100081, China
Abstract:There are lots of varieties of potato in the world, and over 80 varieties are planted throughout China. There are differences in the nutritional componant and content among different cultivated varieties. On the background of taking potato as staple, improving residents’ dietary nutrition has become one of the important targets. Therefore, it is significant to assess and screen the whole nutrition and nutrient-rich potato varieties. Selecting 7 potato varieties mainly planted in Dingxi, Gansu Provience as research objectives, this paper carried out quantitative evaluation on the nutrients differences between these varieties by the method——entropy weight rank sum ratio. The results indicated that ‘Longshu8’ had the best nutrition value, followed by ‘Longshu3’ and ‘Longshu6’. Beside evaluating potato nutritional value, this method could also be used to evaluate other agriculture products, such as cereal, fruit, vegetable, egg, meat, milk, etc.. This method could be applied widely and with better effect.
Keywords:potato staple  nutritional value  entropy weight rank sum ratio  evaluation  
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