粳稻光氧化特性筛选方法的改良及应用

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为了精确鉴定粳稻材料的光氧化特性,本研究改进了光氧化筛选方法,即在人工光氧化处理条件下,将处理时间从5 d延长到10 d(如遇阴雨天气,则再顺延2 d),对64份粳稻材料的光氧化特性,进行筛选和鉴定。结果显示,用改进的方法,粳稻光氧化级别为1的类型,可进一步细化为4级,并通过叶色的黄化和处理前后叶绿素含量的变化,进行验证。之后,利用该改良方法鉴定供试材料的光氧化级别与预备试验的生长和产量的指标进行了聚类分析,以平均距离5为分类标准,可将筛选粳稻材料分为3种类型,其中类型1是产量最高的类型,平均光氧化级别为1.8级;类型3的光氧化级别为2.2,产量最低;类型2无论产量还是光氧化特性是位于上述两类型中间的类型,结果说明粳稻的光氧化特性与产量表现有类似的变化趋势。对于本研究中鉴定的类型1的粳稻材料,虽然其平均产量最高,但是其耐光氧化级别则低于类型2的,其光氧化特性还需改良。本研究可为准确鉴定粳稻的光氧化特性提供简易有效的方法。 In order to accurately identify the photooxidation properties of japonica rice, the present study improved the photooxidation screening method, that is, under the conditions of artificial photooxidation, the treatment time was extended from 5 days to 10 days (in case of rainy weather, it was extended for another 2 days) The photooxidation characteristics of 64 japonica rice cultivars were screened and identified. The results showed that using improved method, the type of japonica rice with a photooxidation level of 1 could be further subdivided into 4 levels, and the changes of chlorophyll content before and after the treatment of leaf color and yellowing were verified. After that, using the improved method to identify the light-oxidation level of the tested materials and the index of the growth and the yield of the preliminary test, the average distances of 5 were used as the classification criteria, and the materials for screening japonica rice could be divided into three types, of which the type 1 was the highest yielding type with average photooxidation level of 1.8, type 3 with a photooxidation level of 2.2, and lowest yield. Type 2 regardless of yield or photooxidation characteristics was located in the middle of the above two types, indicating that photooxidation of japonica rice There is a similar trend in characteristics and yield performance. For the type 1 japonica rice identified in this study, although its average yield was the highest, its photooxidation level was lower than that of type 2, and its photooxidation properties needed to be improved. This study can provide a simple and effective method for accurately identifying the photooxidation characteristics of japonica rice.
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