<FONT face="Verdana">皖鄂地区水稻纹枯病菌致病力分化研究</FONT>

王玲,黄雯雯,黄世文,刘连盟,刘恩勇,

doi:10.3969/j.issn.1001-7216.2010.06.010

中国水稻科学 >

2010 , Vol. 24 >Issue 6: 623 - 629

DOI: https://doi.org/10.3969/j.issn.1001-7216.2010.06.010

研究报告

皖鄂地区水稻纹枯病菌致病力分化研究

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¹中国水稻研究所，浙江杭州 310006； ²广西大学农学院，广西南宁 530003； *通讯联系人， E-mail: swhuang666@sohu.com

收稿日期: 1900-01-01

修回日期: 1900-01-01

网络出版日期: 2010-11-10

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Pathogenicity Differentiation of Rice Sheath Blight Pathogen Rhizoctonia solani AG-1 ⅠA Isolates from Anhui and Hubei Provinces, China

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¹China National Rice Research Institute, Hangzhou 310006, China； ²Agricultural College, Guangxi University, Nanning 530003, China； *Corresponding author, E-mail: swhuang666@sohu.com

Received date: 1900-01-01

Revised date: 1900-01-01

Online published: 2010-11-10

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摘要

采用温室苗期接种鉴定法，以抗感反应不同的5个水稻品种为材料，对从安徽省和湖北省采集的水稻纹枯病感病标样上分离的200个菌株进行了致病性鉴定。结果表明，水稻纹枯病菌不同菌株间致病力存在明显差异，在鉴别品种上的病情指数呈正态分布。基于5个鉴别品种的平均病情指数的动态聚类分析，将200个菌株划分为弱、中、强3种致病型，分别占供试菌株的29.5％、60.5％和100%，其中中等致病型菌株占优势。各致病型在地区间呈随机分布，表明自然条件下水稻纹枯病菌为混合致病群。Mantel测验表明，菌株致病力差异与菌株地域来源无明显相关。采用Bayes法建立了各致病型的判别函数，判别准确率达95.00％，说明采用聚类判别分析能够对水稻纹枯病菌致病力的分化进行合理的判断。

关键词： 水稻纹枯病菌; 致病力分化; 聚类分析; 贝叶斯判别

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王玲,黄雯雯,黄世文,刘连盟,刘恩勇, . 皖鄂地区水稻纹枯病菌致病力分化研究[J]. 中国水稻科学, 2010 , 24(6) : 623 -629 . DOI: 10.3969/j.issn.1001-7216.2010.06.010

Abstract

Pathogenicity variation of 200 isolates of rice sheath blight (SB) pathogen Rhizoctonia solani AG1 ⅠA from the infected samples from provinces of Anhui and Hubei, China were analyzed by using five cultivars with different resistance to SB at the seedling stage in greenhouse. There were significant differences in pathogenicity among these tested isolates of R. solani AG1 ⅠA. The frequency of average disease index followed a normal school distribution. Based on their disease indices to the five cultivars, the isolates were classified into three distinct pathotype groups by dynamic cluster analysis, i.e. weak, moderate and strong pathotypes, accounting for 29.5%, 60.5% and 10.0%, respectively. The moderate pathotypes were dominant. Random distribution of pathotypes in different areas implied that R. solani AG1 ⅠA population was a mixture of pathotypes naturally. The Mantel testing revealed that the pathogenicity variation was not obviously correlated with the collective location. The discriminant functions of the three pathotypes were constructed based on the Bayes method. The accurate rate for discrimination was up to 95.00%. The results indicate that dynamic cluster and discriminant analysis can be used to evaluate the pathogenicity differentiation of R. solani AG1 ⅠA.

Key words： Rhizoctonia solani; pathogenicity differentiation; cluster analysis; Bayes discrimination

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