G. Rosangkima, Vanramliana, H. Lalthanzara, Lalringngheti, H. Lalramnghaki
{"title":"Isolation and molecular characterization of ginger soft rot pathogenic fungi in Aizawl district of Mizoram, India","authors":"G. Rosangkima, Vanramliana, H. Lalthanzara, Lalringngheti, H. Lalramnghaki","doi":"10.33493/SCIVIS.18.04.02","DOIUrl":null,"url":null,"abstract":"Ginger soft rot disease caused by fungal pathogens have become one of the most serious problems causing reduced production around the world. It has also caused a major problem among farmers of Mizoram state in India resulting in a huge decline in rhizome yield. However, the exact causative agents of this disease have not been identified in the state. Therefore, the present study was undertaken to isolate and characterized the causative agents of ginger soft rot disease from the diseased plants collected from five different villages of Aizawl district, Mizoram. Isolated fungi were cultured and morphological and molecular identification were done using internal transcribed spacer of rDNA. Fusarium oxysporum, F. solani and Plectosphaerella cucumerina were identified in ginger samples from five villages. Fusarium spp. were the most common and seem to be the major causative agents. It is suggested that further investigation is required to explore the diversity of ginger soft rot pathogenic fungi in the whole state which could be helpful in introducing effective and eco-friendly disease management programme.","PeriodicalId":21329,"journal":{"name":"科技视界","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"科技视界","FirstCategoryId":"95","ListUrlMain":"https://doi.org/10.33493/SCIVIS.18.04.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Ginger soft rot disease caused by fungal pathogens have become one of the most serious problems causing reduced production around the world. It has also caused a major problem among farmers of Mizoram state in India resulting in a huge decline in rhizome yield. However, the exact causative agents of this disease have not been identified in the state. Therefore, the present study was undertaken to isolate and characterized the causative agents of ginger soft rot disease from the diseased plants collected from five different villages of Aizawl district, Mizoram. Isolated fungi were cultured and morphological and molecular identification were done using internal transcribed spacer of rDNA. Fusarium oxysporum, F. solani and Plectosphaerella cucumerina were identified in ginger samples from five villages. Fusarium spp. were the most common and seem to be the major causative agents. It is suggested that further investigation is required to explore the diversity of ginger soft rot pathogenic fungi in the whole state which could be helpful in introducing effective and eco-friendly disease management programme.
期刊介绍:
Science & Technology Vision is a science and technology journal supervised by the Shanghai Association for Science and Technology and sponsored by the Shanghai Science Writers Association. It takes grassroots science and education workers as readers, popularizes scientific knowledge, tracks hot issues in science and technology at home and abroad, pays attention to new developments, new technologies, and new achievements in the forefront of the science and technology community, adheres to the combination of theory and practice, popularization and exploration, integrates scientificity, knowledge, academicity, and foresight, and builds a platform and theoretical position for academic debate for the majority of science and technology workers. Science & Technology Vision has been fully included in "China National Knowledge Infrastructure", "Chinese Science and Technology Journal (VIP) Database", "Longyuan Journal Network", "Education Reading Network", and "Wanfang Database".