• 식물병연구
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• 제21권4호
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• pp.261-267
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• 2015

본 연구에서는 경상북도 북부지역의 주요 사과 산지를 대상으로 재배 중에 발생하는 병해의 발병상황을 조사하고 병원균을 조사하였다. 경북 북부지역의 주요 사과 재배지에서 발병하는 주요 병은 탄저병, 겹무늬썩음병, 점무늬낙엽병, 갈색무늬병, 가지마름병이었다. 특히 2013년에 비해 2014년에는 갈색무늬병이 증가하였으며, 이는 10월의 강수량과 정의 상관관계가 인정된다. 점무늬낙엽병과 탄저병, 겹무늬썩음병도 모든 포장에서 발병되었다. 또한 P. syringae pv. syringae에 의한 가지마름병의 발병이 지역에 따라 10-20% 정도 발병하였다. 이러한 결과는 사과 재배에 있어 주요병해에 대한 중점 방제 대상 병해를 선정하여 관리하여야 하며, 또한 근래 문제되지 않았던 P. syringae pv. syringae에 의한 가지마름병에 대한 생태학적 연구 및 방제 연구가 수행하여야 할 것으로 판단된다.

• 한국식물병리학회지
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• 제13권1호
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• pp.57-62
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• 1997

This experiment was conducted to test the control effect of methanol extracts of 10 medicinal plants on apple storage diseases caused by Botryosphaeria berengeriana, Glomerella cingulata and Penicillium expansum. Out of the 10 medicinal plants, methanol extracts of Coptis japonica and Anemarrhena asphodeloides inhibited effectively the mycelial growth of B. berengeriana, G. cingulata and P. expansum in vitro, for which the inhibition ratios of the two plant extracts were 100.0% and 89.3%, 73.7% and 94.1%, and 100.0% and 51.6%, respectively. Spore germination of the three fungi was inhibited 100% only by C. japonica extract, but only P. expansum was inhibited 100% by A. asphodeloides extract. No lesion was formed y the fungi at 5$^{\circ}C$ up to 2 weeks after inoculation. Lesion sizes produced by the three fungi at the temperature ranges of 1$0^{\circ}C$ to $25^{\circ}C$ and infection of B. berengeriana and G. cingulata were inhibited by C. japonica extract, but not by A. asphodeloides extract, while no lesion was formed by the fungi at 5$^{\circ}C$. Infections of the fungi on apples were somewhat stimulated by A. asphodeloides extract.

• The Plant Pathology Journal
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• 제24권4호
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• pp.439-446
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• 2008

A fungicidal spray program for effective control of three major apple diseases in Korea (white rot, bitter rot, and Marssonina blotch) was developed. This was based on our previous studies showing that application of ergosterol biosynthesis inhibitors (EBIs) in early or mid-August can eradicate white rot infection in fruit and that some protective fungicides show after-infection activity against white rot. The basic spray program focused on control of white rot, the main target disease, and the fungicides were sprayed at 15-day intervals from petal fall to late August using fungicides that show after-infection and EBI activity. The basic spray program was modified over 4 successive years to improve control efficacy against bitter rot and Marssonina blotch, which sometimes cause as much damage as white rot. Modifications to the regime were made every year by replacing one fungicide in the basic program at a specific spraying time. Substitution of only one fungicide in the spray program, even early in the growing season, greatly influenced the final disease incidence at harvest. Applying this principle, a moderately efficient spray program for cv. Fuji that increased the spray interval from 10 to 15 days and thus reduced the number of sprays required per crop season was developed.

• The Plant Pathology Journal
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• 제18권6호
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• pp.342-344
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• 2002

Apple scar skin viroid (ASSVd) has been one of the most destructive diseases in Korean apple orchards. Symptoms of the scar skin viroid disease were detected in various apple cultivars, namely, Sansa, Fuji, Chukwang, Miki-Life, Hongro, and Songbongeum cultivated in the southern part of Korea. The RNA molecules were extracted from the apples bearing dapple apple symptoms with the application of CF-11 RNA extraction method. The purified RNAs were used for the synthesis of cDNA with RT-PCR. The PCR products were cloned and sequenced. The viroid RNA molecules from the six different cultivars bearing the dapple symptos showed the same nucleotide sequences as that of the Korean strain of ASSVd（ASSVd-K). ASSVd-K was detected from apple orchards in Kunwi, Sangju, Uiseong, Yeong-yang, Andong, and Youngduk in Gyeongbuk Province in 2001, and in Muju in Jeonbuk Province in 2002. As the viroid disease could be propagated vegetatively, it can be widely transmitted gradually in Korea.

• 한국유기농업학회지
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• 제6권1호
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• pp.35-43
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• 1997

For the purpose of acquiring microbial agents that can be utilized to billogically control the major airborne disease to apple trees, such as canker(Valsa ceratosperma), the effective microorgaisms were isolated, tested for antagonistic activity to the pathogen causing major disease to apple trees and identifed. Screening of more than 3, 000 species of microorganisms collected in nature for them antagonistic action to the pathogen, Valsa ceratosperma causing disease to apple tree resulted in selection of effective species. Out of the 11 species, one species designated as CAP141 demonstrated outstanding activity. The bacterial strain, CAP141 exerted antagonistic efficiency of 65% on Valsa ceratosperma. The CAP141 was identified as a bacterial strain to Bacillus subtilis based on morphology, culture conditions, and physio-biochemical characteristics.

• The Plant Pathology Journal
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• 제39권4호
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• pp.319-334
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• 2023

Plant disease is an important factor affecting crop yield. With various types and complex conditions, plant diseases cause serious economic losses, as well as modern agriculture constraints. Hence, rapid, accurate, and early identification of crop diseases is of great significance. Recent developments in deep learning, especially convolutional neural network (CNN), have shown impressive performance in plant disease classification. However, most of the existing datasets for plant disease classification are a single background environment rather than a real field environment. In addition, the classification can only obtain the category of a single disease and fail to obtain the location of multiple different diseases, which limits the practical application. Therefore, the object detection method based on CNN can overcome these shortcomings and has broad application prospects. In this study, an annotated apple leaf disease dataset in a real field environment was first constructed to compensate for the lack of existing datasets. Moreover, the Faster R-CNN and YOLOv3 architectures were trained to detect apple leaf diseases in our dataset. Finally, comparative experiments were conducted and a variety of evaluation indicators were analyzed. The experimental results demonstrate that deep learning algorithms represented by YOLOv3 and Faster R-CNN are feasible for plant disease detection and have their own strong points and weaknesses.

• 식물병연구
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• 제27권2호
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• pp.70-75
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• 2021

The abnormal brown sunken lesions were observed on cv. RubyS apple fruits in an orchard located in Gunwi, Gyeongbuk province, Korea. The primary observed symptoms such as small round sunken lesions and small black dots on the symptomatic area were different from the reported apple diseases. The affected apple fruits were sampled and subjected to isolation of the causal agent. Cultural and morphological characteristics of isolated fungal strain, designated KNUF-20GWA4, were similar to that of Colletotrichum spp. Based on multilocus sequence analyses using internal transcribed spacer regions and partial sequences of β-tubulin, glyceraldehyde-3-phosphate dehydrogenase, chitin synthase, and actin genes, strain KNUF-20GWA4 showed 99.2-100% similarities with C. aenigma ICMP 18608 and the isolate clustered together with several other strains of this species in the phylogenetic tree. To our knowledge, this is the first report of bitter rot on apple fruits caused by C. aenigma.

• The Plant Pathology Journal
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• 제23권2호
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• pp.37-44
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• 2007

Colletotrichum contains many important pathogens which cause economically significant diseases of crops like pepper, strawberry, tomato and apple. Forty four isolates were collected to characterize the diversity of Colletotrichum causing apple anthracnose in various regions of Korea. They were analyzed by random amplified polymorphic DNA (RAPD), internal transcribed spacer (ITS) of rDNA and partial $\beta$-tubulin gene DNA sequence, and culture characteristics on PDA and PDA-Benomyl. From the results of molecular analyses, 31 strains belonged to Colletotrichum gloeosporioides, ribosomal DNA group (RG) 4 of Moriwaki et al. (2002), 8 strains belonged to C. acutatum, A2 group of Talhinhas et al. (2005) and 5 strains to C. acutatum, A3 group of Talhinhas et al. (2005). Most isolates of C. gloeosporioides RG4 grew faster on PDA than strains of C. acutatum, A2 and A3 groups and most RG4 strains were sensitive to Benomyl. However, a few strains of RG4 grew slower and were resistant to Benomyl. On the basis of molecular characteristics, apple isolates of C. acutatum were clearly differentiated from red pepper isolates of the species, but apple isolates of C. gloeosporioides were not.

• 식물병연구
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• 제23권1호
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• pp.49-55
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• 2017

이전 연구에서 충북지방의 사과과수원에서 토양병에 의한 사과나무 고사율이 매우 높게 나타났다. 본 연구에서는 토양병에 의한 사과나무 고사율과 재배환경과의 상관관계를 조사하였다. 자주날개무늬병에 의한 사과나무 고사율은 토양 내 칼슘 함량과 유의하게 정의 상관관계를 보였고, 흰날개무늬병에 의한 사과나무 고사율은 토양 내 유효 인산 함량과 유의하게 정의 상관관계를 보였다. 반면에 역병 피해 사과원 14개소에서는 사과나무 고사율과 재배환경과는 유의성 있는 상관관계가 없었다. 세분화한 재배환경과의 상관관계 분석결과는 토양 내 칼슘함량 외에 과원 경사도와 착과수가 자주날개무늬병에 의한 고사율에 영향을 미쳤고, 토양 내 유효인산 함량 외에 칼슘 함량이 흰날개무늬병에 의한 고사율에 영향을 미쳤다. 과원경사도, 토성, 마그네슘과 칼슘 함량이 사과역병에 의한 고사율에 영향을 주었다. 이 결과는 사과과원의 재배법 변경에 의해 토양병에 의한 사과나무 고사율을 감소시키는 데 적용 가능할 것이다.

• 식물병연구
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• 제19권4호
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• pp.288-293
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• 2013

국내외적으로 ACLSV, ASGV, ApMV, ASSVd와 같은 바이러스 및 바이로이드 병의 발생으로 사과 과실의 생산량 감소와 기형적인 외형 등 많은 문제점들이 보고되었다. 하지만 사과 바이러스의 감염에 대한 방제 대책은 거의 알려진 바가 없는 실정이다. 따라서 본 논문에서는 사과 신품종인 '단홍', '홍안', '새나라', '썸머드림'을 분양하기에 앞서 바이러스 무병묘를 생산하는 시스템을 확립하고자 하였다. $37^{\circ}C$가 유지되는 항온 항습장치에서 4주간 열처리를 하였으며 기내에서 경정 배양을 하였다. 열처리된 각각의 사과 신품종들은 바이러스 진단 프라이머를 통해 RT-PCR을 수행하여 바이러스 진단을 수행하였다. 결과적으로 '단홍'은 28%의 바이러스 무병묘를 확보할 수 있었으며 '홍안'은 16%, '새나라'와 '썸머드림'은 12%의 확률로 바이러스 무병 사과를 확보할 수 있었다. 본 연구결과는 열처리 및 경정배양을 통해 사과 신품종에서 바이러스 무병묘 생산 시스템 구축이 가능함을 보여주었다.