Entropy Weight Fuzzy Comprehensive Evaluation in Screening of Japonica Rice Quality

Xuanting Huang
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Abstract

: More than half of the world's population is dominated by rice. In the context of reduced cultivated land and increasingly scarce water resources, increasing rice production has become an urgent problem in order to meet the needs of world's growing population. On the basis of previous work, this paper combines the entropy weight method with the fuzzy comprehensive evaluation method to expand the method of comprehensive evaluation of rice quality. The main purpose is to establish an entropy weight fuzzy comprehensive evaluation model and apply it to comprehensive evaluation of rice quality of japonica rice variety in 12 different producing areas. At the same time, identity the marker genotypes of parental yield traits, and found 31 marker genotypes are significantly correlated with the yield of parental yield traits. The two marker genotypes are related to the six traits of the parent; two marker genotypes are related to the 5 traits of parental at the same time; there are four marker genotypes associated with the four traits of the male parent; There are five marker genotypes associated with maternal features; there are three marker genotypes associated with the parental and maternal genetic traits; There are 15 marker genotypes associated with parental traits of individual traits. The marker genotype of the RM23~150/160 was positive for 4 genotype effects. The number of per panicle, daily yield per plant, ear length and number of secondary branches increased by 12.1%, 11.3%, 10.4% and 14.9%, respectively. The results showed that the whiteness, different cultivar rate, defect rate and amylose content may be the main indicators affecting differences in quality of various varieties’ rice. Among the 12 varieties, the comprehensive quality of Ji japonica in 88 and Ji japonica in 83 was better, evaluation level is I; long white 19 and long white 25
熵权模糊综合评价在粳稻品质筛选中的应用
世界上一半以上的人口以大米为主食。在耕地减少和水资源日益匮乏的情况下,提高水稻产量已成为一个紧迫的问题,以满足世界日益增长的人口的需要。本文在前人工作的基础上,将熵权法与模糊综合评价法相结合,拓展了稻米品质综合评价的方法。主要目的是建立熵权模糊综合评价模型,并将其应用于12个不同产区粳稻品种稻米品质的综合评价。同时,对亲本产量性状的标记基因型进行鉴定,发现31个标记基因型与亲本产量性状的产量显著相关。两种标记基因型均与亲本的6个性状相关;两个标记基因型同时与亲本的5个性状相关;与父本四种性状相关的标记基因型有四种;与母体特征相关的标记基因型有五种;与亲本和母本遗传性状相关的标记基因型有三种;与亲本性状或个体性状相关的标记基因型有15种。RM23~150/160的标记基因型有4个基因型效应呈阳性。单穗数、单株日产量、穗长和次枝数分别提高12.1%、11.3%、10.4%和14.9%。结果表明,白度、不同品种率、缺良率和直链淀粉含量可能是影响不同品种稻米品质差异的主要指标。12个品种中88号和83号的综合品质较好,评价等级为I级;长白19和长白25
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