A review of the known unknowns in the early stages of septoria tritici blotch disease of wheat
Author:
Affiliation:
1. UCD School of Biology and Environmental Science, UCD Earth Institute and UCD Institute of Food and Health College of Science, University College Dublin Belfield Dublin 4Ireland
2. Department of Crop Science Teagasc Oak Park Carlow Ireland
Funder
Science Foundation Ireland
Publisher
Wiley
Subject
Horticulture,Plant Science,Genetics,Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ppa.13077
Reference93 articles.
1. Use of a New Tetrazolium-Based Assay to Study the Production of Superoxide Radicals by Tobacco Cell Cultures Challenged with Avirulent Zoospores ofPhytophthora parasitica varnicotianae1
2. Molecular mapping of Stb1, a potentially durable gene for resistance to septoria tritici blotch in wheat
3. Molecular Mapping of the Stb4 Gene for Resistance to Septoria tritici Blotch in Wheat
4. Resistance of wheat to Mycosphaerella graminicola involves early and late peaks of gene expression
5. Reactive Oxygen Intermediates Mediate a Systemic Signal Network in the Establishment of Plant Immunity
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A Burkholderia cenocepacia -like environmental isolate strongly inhibits the plant fungal pathogen Zymoseptoria tritici;Applied and Environmental Microbiology;2024-05-21
2. Long-term survival of asexualZymoseptoria triticispores in the environment;2024-02-29
3. SeptoSympto: a precise image analysis of Septoria tritici blotch disease symptoms using deep learning methods on scanned images;Plant Methods;2024-02-01
4. Lipopeptide culture filtrates from Bacillus spp. Provide effective protection to wheat against the foliar pathogen Zymoseptoria tritici;Journal of Applied Microbiology;2023-12-19
5. SeptoSympto: A high-throughput image analysisof Septoria tritici blotch disease symptoms using deep learning methods;2023-06-29
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3