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针对以往在水稻品种审定过程中稻米品质评价方法存在人为权重赋值误差,以及简便计算等方面的不足的问题,应用一种新的稻米品质质量综合评价方法,对2006年吉林省区试水稻品种品质质量进行评价,为今后有针对性地采取对应措施提高吉林省的稻米品质质量提供参考.根据国家相关稻米品质标准,运用基于遗传算法的投影寻踪等级评价模型(PPE)进行稻米品质质量综合评价.评价结果表明,参加水稻区域试验的18个中早熟水稻品种稻米品质质量整体水平不高,除了5个品种稻米品质等级为2级稻米外,其它品种均为3级或4级,稻米垩白、碱消值和胶稠度指标是影响稻米品质质量的主要因子.各品种稻米品质质量等级的经验值与PPE计算值之间的平均绝对误差仅为0.1325,PPE模型精度较高;改善稻米垩白、碱消值和胶稠度性状应成为今后吉林省稻米品质育种工作重点.
Aiming at the problem of error in evaluation of rice quality and the shortcomings of simple calculation in the rice quality evaluation method in the past, a new comprehensive evaluation method of rice quality was applied to evaluate the quality of rice varieties in Jilin Province in 2006 Quality evaluation and provide reference for future measures to improve the quality of rice in Jilin Province.According to the relevant national quality standards of rice, PPE was used to evaluate the quality of rice The evaluation results showed that the quality of rice quality of the 18 middle and early maturing rice cultivars participating in the rice regional experiment was not high, except for the 5 varieties of rice with grade 2, the other varieties were grade 3 or 4, and the chalkiness of rice , Alkali consumption value and gel consistency index are the main factors that affect the quality of rice.The average absolute error between the empirical value of the quality grade of rice and the calculated value of PPE is only 0.1325 and the PPE model has higher precision and improve the chalkiness of rice , Alkali consumption and gel consistency traits should become the focus of rice quality breeding in Jilin Province in the future.