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Diversity of Macrophomina phaseolina Based on Morphological and Genotypic Characteristics in Iran
한국식물병리학회 The Plant Pathology Journal 10 Pages
한국식물병리학회 The Plant Pathology Journal 2011, 27권 2호 5 128-137 (10 pages)
Fifty two Macrophomina phaseolina isolates were recovered from 24 host plant species through the 14 Iranian provinces. All isolates were confirmed to species using species-specific primers. The colony characteristics of each isolate were recorded, including chlorate phenotype, relative growth rate at 30 -
Genetic Diversity of Fusarium proliferatum Populations from Maize, Onion, Rice and Sugarcane in Iran Based on Vegetative Compatibility Grouping
한국식물병리학회 The Plant Pathology Journal 7 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 3호 2 216-222 (7 pages)
determination of vegetative compatibility groups (VCGs). Chlorate-resistant nitrate non-utilizing (nit) mutants were recovered from selected isolates of F. proliferatum and used in complementation tests. All isolates in which both nit1 and NitM (or nit3) mutants were recovered, demonstrated self-compatibility. Vegetative compatibility tests by pairing nit mutants identified 30 VCGs among 57 isolates. Twenty-three isolates belonged to singlemember VCGs and the remaining 34 isolates, belonged to... -
The Effect of Soil Physico-chemical Properties on Rhizome Rot and Wilt Disease Complex Incidence of Ginger Under Hill Agro-climatic Region of West Bengal
한국식물병리학회 The Plant Pathology Journal 5 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 2호 15 198-202 (5 pages)
A study was conducted to find out the relationship of physico-chemical properties (viz. organic carbon(OC), pH, electrical conductivity, nitrogen, phosphorus and potassium content) of ginger growing soil with incidence percentage of rhizome rot and wilt disease complex of ginger. Organic carbon content and pH of the ginger soil contributed significantly (93%) in the prediction of ginger rhizome rot and wilt disease complex incidence with negative correlation. Soil having weak acidic reaction... -
Molecular Characterization and Survey of the Infection Rate of Orchid fleck virus in Commercial Orchids
한국식물병리학회 The Plant Pathology Journal 9 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 2호 5 130-138 (9 pages)
Orchid fleck virus (OFV) is an unassigned plant virus in the family Rhabdoviridae. OFV was isolated from Cymbidium sp. showing oval necrotic lesions on their leaves in Korea, and designated as OFV-NHHS1. The complete nucleotide sequence of the RNA1 (6,413 nt) (GenBank accession no. AB516442) and RNA2 (6,001 nt) (GenBank accession no. AB516441) was determined in this study. RNA1 and RNA2 contained five and one ORF respectively. RNA1 encodes nucleocapsid (N) of 49 kDa, ORF2 of 26 kDa, ORF3 of 38... -
Antimicrobial and Antioxidant Properties of Secondary Metabolites from White Rose Flower
한국식물병리학회 The Plant Pathology Journal 6 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 1호 8 57-62 (6 pages)
Low-molecular-weight secondary metabolites from plants play an important role in reproductive processes and in the defense against environmental stresses or pathogens. In the present study, we isolated various volatiles and phenolic compounds from white Rosa rugosa flowers, and evaluated the pharmaceutical activities of these natural products in addition to their ability to increase survival in response to environmental stress and pathogen invasion. The DPPH and hydroxyl radical-mediated... -
A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution
한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2010, 26권 1호 6 37-48 (12 pages)
This paper describes a web-based information system for plant disease forecast that was developed for crop growers in Gyeonggi-do, Korea. The system generates hourly or daily warnings at the spatial resolution of 240 m -
농업기상 빅데이터를 활용한 스마트 식물병 관리
김광형, 이준혁 한국식물병리학회 식물병연구 13 Pages
한국식물병리학회 식물병연구 2020, 26권 3호 1 121-133 (13 pages)
기후변화와 이상기후, 급변하는 사회경제적 환경 하에 식량안보를 확보하고 지속가능한 성장을 위해서는 기존의 관행농업을 벗어나 빅데이터와 인공지능을 활용한 스마트농업으로의전환이 시급하다. 스마트농업을 통해 식물병을 효율적으로 관리하기 위해서는 다양한 첨단기술과 융합할 수 있는 농업 빅데이터가 우선 확보되어야 한다. 본 리뷰에서는 스마트식물병관리를 위해 식물병리학 분야에서 기여할 수 있는 기상환경 및 농업 빅데이터에 대해 알아보고 이를 활용한 식물병의 예측, 모니터링 및 진단, 방제, 예방 및 위험관리의 각...
