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Resistance of Oryza sativa and Oryza glaberrima Genotypes to RBe24 Isolate of Rice Yellow Mottle Virus in Benin and Effects of Silicon on Host Response
Vital Kouessi Sixte Anato, Yves Agnoun, Jo?l Houndjo, Aderonke Oludare, Clement Agbangla, Malachy Akoroda, Victor O. Adetimirin 한국식물병리학회 The Plant Pathology Journal 14 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 4호 7 375-388 (14 pages)
Rice yellow mottle virus (RYMV) is the most harmful virus that affects irrigated and lowland rice in Africa. The RBe24 isolate of the virus is the most pathogenic strain in Benin. A total of 79 genotypes including sus- ceptible IR64 (Oryza sativa) and the resistant TOG5681 (O. glaberrima) as checks were screened for their reactions to RBe24 isolate of RYMV and the effects of silicon on the response of host plants to the virus inves- tigated. The experiment was a three-factor factorial consisting... -
A Procedure for Inducing the Occurrence of Rice Seedling Blast in Paddy Field
Peng Qin, Xiaochun Hu, Nan Jiang, Zhenan Bai, Tiangang Liu, Chenjian Fu, Yongbang Song, Kai Wang, Yuanzhu Yang 한국식물병리학회 The Plant Pathology Journal 4 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 2호 11 200-203 (4 pages)
Rice blast caused by the filamentous fungus Magna- porthe oryzae, is arguably the most devastating rice disease worldwide. Development of a high-throughput and reliable field blast resistance evaluation system is essential for resistant germplasm screening, resistance genes identification and resistant varieties breeding. However, the occurrence of rice blast in paddy field is easily affected by various factors, particularly lack of sufficient inoculum, which always leads to the non- uniform... -
Antagonistic Activity of Bacteria Isolated from Apple in Different Fruit Development Stages against Blue Mold Caused by Penicillium expansum
Roc?o Crystabel L?pez-Gonz?lez, Yara Suhan Ju?rez-Campusano, Jos? Luis Rodr?guez-Ch?vez, Guillermo Delgado-Lamas, Sof?a Mar?a Arvizu Medrano, Ram?n ?lvar Mart?nez-Peniche, Juan Ramiro Pacheco-Aguilar 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2021, 37권 1호 2 24-35 (12 pages)
Blue mold caused by Penicillium expansum is one of the most significant postharvest diseases of apples. Some microorganisms associated with the surface of ripen- ing apples possess the ability to inhibit the growth of P. expansum. However, the existing literature about their colonization in the stages before ripening is not explored in depth. This study aims to characterize the antagonistic capacity of bacterial populations from five fruit development stages of ‘Royal Gala’ apples. The re-... -
Antiserum Preparation of Recombinant Sweet Potato Latent Virus-Lotus (SPLV-Lotus) Coat Protein and Application for Virus-Infected Lotus Plant Detection
Zhen He, Tingting Dong, Wen Chen, Tielin Wang, Haifeng Gan, LiangJun Li 한국식물병리학회 The Plant Pathology Journal 7 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 6호 13 651-657 (7 pages)
Lotus is one of the most important aquatic vegetables in China. Previously, we detected sweet potato latent virus from lotus (SPLV-lotus) and found that it has highly significant sequence diversity with SPLV-sweet potato isolates (SPLV-sp). Here, we developed serological methods for the detection of SPLV-lotus in Chinese lotus cultivation areas. Based on the high sensitivity of SPLV-lotus coat protein antiserum, rapid, sensitive and large-scale diagnosis methods of enzyme-linked immunosorbent... -
Characterization of a Strain of Malva Vein Clearing Virus in Alcea rosea via Deep Sequencing
Defu Wang, Liyan Cui, Yanni Pei, Zhennan Ma, Shaofei Shen, Dandan Long, Lingyu Li, Yanbing Niu 한국식물병리학회 The Plant Pathology Journal 8 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 5호 9 468-475 (8 pages)
Malva vein clearing virus (MVCV) is a member of the Potyvirus species, and has a negative impact on the aesthetic development of Alcea rosea. It was first reported in Germany in 1957, but its complete genome sequence data are still scarce. In the present work, A. rosea leaves with vein-clearing and mosaic symptoms were sampled and analyzed with small RNA deep sequencing. By denovo assembly the raw sequences of virus-derived small interfering RNAs (vsiRs) and whole genome amplification of malva... -
Comparative Genome Analysis Reveals Natural Variations in the Genomes of Erwinia pyrifoliae, a Black Shoot Blight Pathogen in Apple and Pear
Gyu Min Lee, Seyoung Ko, Eom-Ji Oh, Yu-Rim Song, Donghyuk Kim, Chang-Sik Oh 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 5호 5 428-439 (12 pages)
Erwinia pyrifoliae is a Gram-negative bacterial plant pathogen that causes black shoot blight in apple and pear. Although earlier studies reported the genome comparison of Erwinia species, E. pyrifoliae strains for such analysis were isolated in 1996. In 2014, the strain E. pyrifoliae EpK1/15 was newly isolated in the apple tree showing black shoot blight in South Korea. This study aimed to better understand the similarities and differences caused by natural variations at the genomic level... -
Development of a Daily Epidemiological Model of Rice Blast Tailored for Seasonal Disease Early Warning in South Korea
Kwang-Hyung Kim, Imgook Jung 한국식물병리학회 The Plant Pathology Journal 12 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 5호 3 406-417 (12 pages)
Early warning services for crop diseases are valuable when they provide timely forecasts that farmers can utilize to inform their disease management decisions. In South Korea, collaborative disease controls that utilize unmanned aerial vehicles are commonly performed for most rice paddies. However, such controls could benefit from seasonal disease early warnings with a lead time of a few months. As a first step to establish a seasonal disease early warning service using seasonal climate... -
Biological Control of Gom-chwi (Ligularia fischeri) Phytophthora Root Rot with Enterobacter asburiae ObRS-5 to Suppress Zoosporangia Formation and Zoospores Germination
Dayeon Kim, Sang Yeob Lee, Seong Ho Ahn, Ji Hee Han, Jin Woo Park 한국식물병리학회 The Plant Pathology Journal 11 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 3호 5 244-254 (11 pages)
Gom-chwi (Ligularia fischeri) is severely infected with Phytophthora drechsleri, the causal organism of Phy- tophthora root rot, an economically important crop disease that needs management throughout the cultiva- tion period. In the present study, Phytophthora root rot was controlled by using bacterial isolates from rhizo- sphere soils collected from various plants and screened for antagonistic activity against P. drechsleri. A total of 172 bacterial strains were isolated, of which, 49 strains... -
Symptomatology of Citrus mosaic sadwavirus (CiMV) in Some Citrus Cultivars and Effect of CiMV Infection on Citrus Fruit Quality
Jae Wook Hyun, Rok Yeon Hwang, Cheol Woo Choi, Kyung Eun Jung, Seung Gab Han 한국식물병리학회 The Plant Pathology Journal 5 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 1호 10 106-110 (5 pages)
healthy fruit (636.5 ± 39.1, g-force). The ratio of flesh weight to total fruit weight was higher for the healthy fruit (77.3 ± 1.7%) than for the infected fruit (70.7 ± 0.6) and peel puffing was more severe in the infected fruit (2.9 ± 0.4 mm) than in the healthy fruit (0.9 ± 0.2 mm). The soluble solids content in infected citrus fruits was less values than the healthy fruit by 0.5-1.5 °Brix. These findings reveal that CiMV infection on citrus trees reduces the fruit quality of citrus. -
Application of Numerical Weather Prediction Data to Estimate Infection Risk of Bacterial Grain Rot of Rice in Korea
Hyo-suk Kim, Ki Seok Do, Joo Hyeon Park, Wee Soo Kang, Yong Hwan Lee, Eun Woo Park 한국식물병리학회 The Plant Pathology Journal 13 Pages
한국식물병리학회 The Plant Pathology Journal 2020, 36권 1호 5 54-66 (13 pages)
This study was conducted to evaluate usefulness of numerical weather prediction data generated by the Unified Model (UM) for plant disease forecast. Using the UM06- and UM18-predicted weather data, which were released at 0600 and 1800 Universal Time Coordinated (UTC), respectively, by the Korea Meteorological Administration (KMA), disease forecast on bacterial grain rot (BGR) of rice was examined as compared with the model output based on the automated weather stations (AWS)-observed weather...


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