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白菜黑斑病人工接种鉴定体系的建立以及种质资源筛选

张红 范伟强 刘晓晖 张斌 赵艳艳 苏悦华 黄志银 王超楠

中国蔬菜Issue(8):84-92,9.
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中国蔬菜Issue(8):84-92,9.DOI:10.19928/j.cnki.1000-6346.2026.0033

白菜黑斑病人工接种鉴定体系的建立以及种质资源筛选

Establishment of Robust Artificial Inoculation System for Evaluating Resistance to Black Spot Disease and Screening of Chinese Cabbage Germplasm

张红 1范伟强 2刘晓晖 1张斌 1赵艳艳 3苏悦华 3黄志银 1王超楠1

作者信息

  • 1. 蔬菜生物育种全国重点实验室,天津市农业科学院,天津 300192
  • 2. 天津科润农业科技股份有限公司蔬菜研究所,天津市蔬菜遗传育种企业重点实验室,天津 300381
  • 3. 南开大学生命科学学院,天津 300071
  • 折叠

摘要

Abstract

Black spot disease is a major fungal disease threatening Chinese cabbage production worldwide.To establish a reliable,reproducible,and efficient phenotyping system to evaluate seedling resistance to black spot disease caused by Alternaria brassicicola,we systematically optimized the inoculation conditions by comparing inoculation methods,spore suspension concentrations,and incubation temperatures.The results showed that detached-leaf inoculation performed on seedlings with a spore suspension of 1×105 spores·mL-1,followed by incubation at 25℃for 3 days,provided the most effective and repeatable conditions for assessing black spot disease resistance.The optimized assay was further validated using 53 elite Chinese cabbage inbred lines,with parallel field disease assessments conducted at the adult plant stage.The high concordance between the two evaluation approaches verified the accuracy,stability,and reliability of the artificial inoculation system.Furthermore,germplasm lines representing the extremes of disease resistance were selected,providing valuable parental materials for identifying genes associated with black spot disease resistance.Together,these results provide both germplasm resources and a technical foundation to advance molecular breeding for enhanced black spot disease resistance in Chinese cabbage.

关键词

白菜/黑斑病/抗性评价/表型鉴定/人工接种

Key words

Chinese cabbage/black spot disease/resistance evaluation/phenotype identification/artificial inoculation

引用本文复制引用

张红,范伟强,刘晓晖,张斌,赵艳艳,苏悦华,黄志银,王超楠..白菜黑斑病人工接种鉴定体系的建立以及种质资源筛选[J].中国蔬菜,2026,(8):84-92,9.

基金项目

国家重点研发计划子课题(2023YFD1201504-4),天津市科技重大专项与工程全国重点实验室重大专项(25ZXZSSS00050),天津市科技重大专项与工程种业创新重大专项(23ZXZVSN00030),国家大宗蔬菜产业技术体系综合试验站项目(CARS-23-G-05),天津市优秀农业科技特派员项目(25ZYCGSN00610) (2023YFD1201504-4)

中国蔬菜

1000-6346

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