麦根腐平脐蠕孢引起新疆小麦根腐病的病原鉴定及其生物学特性分析
Identification and biological characterization of the root rot pathogen of wheat in Xinjiang caused by Bipolaris sorokiniana
鄢蓉 1周小云 2张军高 2王莉 1李进 2梁晶 2龚静云 2杜雨 1李克梅 1雷斌2
作者信息
- 1. 新疆农业大学农学院,乌鲁木齐,830052
- 2. 新疆农业科学院核技术生物技术研究所/科技成果转化中心/农药试制中心/新疆作物化学调控工程技术研究中心,乌鲁木齐 830091
- 折叠
摘要
[目的]研究新疆小麦根腐病病原菌种类和生物学特性,为制定该病有效防控措施提供科学依据.[方法]采用组织分离法对麦根腐病株病原菌进行分离培养,选择新疆试验区的代表性菌株检测致病力,结合形态学及分子生物学方法鉴定病原菌种类,采用生长速率法测定主要生物学特性.[结果]试验区代表菌株(KS1-3、YL26、TC30 及ML26)均具有致病性;经鉴定该病病原菌为小麦根腐平脐蠕孢Bipolaris sorokiniana.PDA培养基最为适合菌菌株的生长,温度5～35℃、pH值4～10 条件下均可生长,最适温度 30℃,最适pH值7,对光照不敏感,最佳碳源为可溶性淀粉、蔗糖,最佳氮源为牛肉膏、蛋白胨.[结论]新疆小麦根腐病病原为麦根腐平脐蠕孢B.sorokiniana,其主要生物学物性与多数菌物相类似,较喜温喜光.
Abstract
[Objective]To clarify the species and biological characteristics of root rot pathogens of wheat in Xinjiang,and to provide a scientific basis for the development of effective prevention and control measures.[Methods]This study used tissue isolation method to isolate and culture the pathogens in Xinjiang,selected representative strains from different regions for pathogenicity detection,combined with morphological and mo-lecular means to identify pathogens species,and used the growth rate method to determine their main biological characteristics.[Results]The representative strains(KS1-3,YL26,TC30 and ML26)were pathogenic;the pathogens were identified as Bipolaris sorokiniana(Sacc.)Shoemaker.The PDA medium was the most suit-able for mycelial growth,and it can grew at5-35℃and pH4-10.The optimum temperature was30℃,the optimum pH was 7,it was not sensitive to light,the best carbon sources were soluble starch and sucrose,and the best nitrogen sources were beef extract and peptone.[Conclusion]The pathogens of wheat root rot in Xin-jiang are Bipolaris sorokiniana,and its main biological characteristies are similar to most fungi,preferring tem-perature and light.
关键词
小麦根腐病/麦根腐平脐蠕孢/生物学特性Key words
wheat root rot/Bipolaris sorokiniana/biological characteristics引用本文复制引用
基金项目
中央引导地方项目(ZYYD2023B06)
省部共建课题(SBGJXTZXKF-9)
新疆维吾尔自治区乡村振兴产业发展科技行动项目(2022NC078)
新疆维吾尔自治区科技特派员农村科技创业行动项目(2022BKZ022)
出版年
2024
国家科技期刊平台
NSTL
万方数据