Grey Decision and Cluster Analysis on Heat Resistance of Different Cabbage Genotypes
-
摘要: 对高温胁迫下12份不同基因型结球甘蓝幼苗的7个生理生化指标和4个相关农艺性状进行灰色决策和聚类分析,结果表明,10个性状与壮苗指数的关联度值从大到小依次为:GSH含量、SOD活性、POD活性、单株重、地上干重/地下干重、MDA含量、Vc含量、相对膜透性、Pro含量和地上鲜重/地下鲜重。强夏-1-2的综合效果测度值是1.465 1,综合表现最好,其次是抗热50-1,综合效果测度值为1.436 4,77-2综合效果测度值是1.217 3,综合表现最差。系统聚类将12份甘蓝亲本材料的耐热性划分为3类:第Ⅰ类为耐热材料,包括强夏-1-2、抗热50-1、中甘17-2和118-1;第Ⅱ类为中等耐热材料,包括早恒株秋绿、秋绿-1、97-4和早恒株97-4;第Ⅲ类为不耐热材料,包括135-4-1、中甘16-3、106-H和77-2。Abstract: A total of 11 traits, including 4 agronomical traits and 7 physi-biochemical traits that measured in 12 cabbage genotypes under high temperature stress, were analyzed using gray decision and cluster analysis method. The results of gray correlative analysis showed that the index were ranked according to their gray correlation degree to seedling index as follows: GSH content,SOD activity, POD actitvity, plant weight, dry weight of above-ground/dry weight of under-ground,MDA content,Vc content,relative membrane permeability, Pro content and fresh weight of above-ground / fresh weight of under-ground. The comprehensive measure values of Qiangxia-1-2 was 1.465 1, has greatest integrated performance, followed by Kangre50-1. The comprehensive measure value of 77-2 was 1.217 3, has the poorest performance. Cluster analysis showed that 12 situ accessions were classified into 3 categories. The first category was the most heat resistance situ accessions including Qiangxia-1-2, Kangre50-1 , Zhonggan17-2 and 118-1, the second category was the intermediate heat resistance situ accessions including ZaohengzhuQiulv, Qiulv-1, 97-4 and Zaohengzhu97-4, and the third category was the sensitive to heat stress situ accessions including 135-4-1 , Zhonggan16-3, 106-H and 77-2.
-
[1] 李成琼,宋洪元,雷建军,等. 甘蓝耐热性鉴定研究[J]. 西南农业大学学报,1998,20(4):299-301. [2] 戴红燕,殷显春,蔡光泽,等. 灰色关联度分析在高原粳稻新品种评价上的应用[J]. 西昌学院学报,2009,23(2):8-10. [3] 邓伟,肖华贵. 杂交油菜产量与相关农艺性状的灰色关联度分析[J]. 安徽农业科学,2009,37(5):1961-1962. [4] 司家钢,孙日飞,吴飞燕,等. 高温胁迫对大白菜耐热性相关生理指标的影响[J]. 中国蔬菜,1995,(4):4-6,15. [5] [6] [7] [8] 周广生, 梅方竹, 周竹青, 等. 小麦不同品种耐湿性生理指标综合评价及其预测[J]. 中国农业科学, 2003, 36(11):1378-1382.
点击查看大图
计量
- 文章访问数: 2431
- HTML全文浏览量: 68
- PDF下载量: 693
- 被引次数: 0