스마트 팜 실현을 위한 온실 온도관리 모델 평가와 저온기 근권가온 시나리오

주호종 ( Ho-jong Ju ) 전북대학교 농업과학기술연구소 2017 농업생명과학연구 Vol.48 No.2

현재 한국의 농업은 많은 문제에 직면 해있다. 가장 심각한 문제는 농가 인구의 지속적인 감소와 농부 노후화의 가속화 때문에 노동력 부족이다. 따라서 한국의 농산업은 다른 산업이나 다른 나라의 농산업에 비하여 매우 낮은 경쟁력을 가지고 있고 거의 고사 위기에 있다. 정부는 농업부문의 경쟁력 강화를 위해 많은 해결책과 정책들을 제시하였다. 정보 통신 기술 (ICT)과 융합 된 원예 시설 온실이 현대화 된 스마트 농장을 통해 원예 작물의 생산성을 높이고자 한다. 농업에 이 새로운 기술을 적용하는 것은 농업이 가진 여러 당면 문제를 해결할 수 있는 방안이 될 수 있다. 하지만 스마트 팜을 확산시키기 위해서는 더 많은 연구와 정부 지원이 필요한 상태이다. 여기서 저자는 스마트 팜과 연관된 사항들을 검토하고, 스마트 팜 확산이 일환으로 저온기 스마트 팜에 적용하여 근권부난방의 효율성을 증개시키고 작물의 생산성 증대를 위한 온도 관리 시나리오를 제안하고자 한다. Korea's agricultural development is facing with many problems. The most serious one is labor shortage because of the continuous decrease in farm population and the acceleration of agricultural workers’ aging. Therefore, Korea's agricultural industry has very low competitiveness and almost endangered compared to other industries in Korea and even compared to agricultural industry in other countries. Korea government proposed many solutions and policies to strengthen the competitiveness in agricultural sector. The government has planned to increase the productivity of horticulture crop through Smart farm which is very modernized greenhouse of horticultural facilities fused with Information and Communications Technologies(ICT). The adoption of this new technology in agriculture may be the solution for the problems that agriculture had. However, it needs more studies and much more government support to spread Smart farm. Here, author review the issues related to Smart farms and I propose the temperature management scenario to increase the efficiency of root heating and crop productivity by applying to Smart farm during low temperature season.

수확후 채소류에 발생하는 진균독소의 탐색과 방제 (II) 이병된 양념 채소류(양파, 마늘, 고추)에서 주요 진균독소 검출

정일민,주호종,심성철,백수봉,유승헌,Chung, Ill-Min,Ju, Ho-Jong,Sim, Sung-Chur,Paik, Su-Bong,Yu, Seung-Hun 한국분석과학회 1998 분석과학 Vol.11 No.3

수확후 Alternaria, Penicillium 및 Fusarium에 이병된 고추, 양파, 마늘을 HPLC로 주요독소들을 검정한 결과 고추에서 Alternaria 독소의 AOH(alternariol)는 소량~$400{\mu}g/g$, ALT(alternuene)는 소량~$103{\mu}g/g$, TeA(tenuagonic acid)는 $249{\sim}342{\mu}g/g$ 및 AME(alternariol monomethyl ether)는 $206{\sim}294{\mu}g/g$이 검출되었고 양파, 마늘에서 Penicillium 독소의 citrinin이 $2.8{\sim}18.4{\mu}g/g$, penicillin-G는 $0{\sim}439.0{\mu}g/g$, penicillic acid는 $0{\sim}10.2{\mu}g/g$ 및 patulin은 $0{\sim}7.0{\mu}g/g$ 검출되었다. 그리고 양파, 마늘에서 Fusarium 독소로는 fusaric acid가 $0{\sim}553.6{\mu}g/g$ 검출되었을 뿐 deoxynivalenol과 nivalenol은 검출되지 않았다. The major mycotoxins were detected from peppers, onions and garlics infected postharvest pathogens, Alternaria, Penicillium and Fusarium. Analyses of the major mycotoxins were conducted using HPLC. Detected Alternaria mycotoxins per gram of infected postharvest peppers were alternariol (AOH) with amount ranged from small quantity to $440{\mu}g/g$, altenuene (ALT) with amount ranged from small quantity to $103{\mu}g/g$, tenuagonic acid (TeA) with amount ranged from 249 to $342{\mu}g/g$ and alternariol monomethyl ether (AME) with amount ranged from 206 to $294{\mu}g/g$. Penicillium toxins per gram of infected postharvest onions and garlics were citrinin with amount ranged from 2.8 to $18.4{\mu}g/g$, penicillun-G with amount ranged from no detection to $439.0{\mu}g/g$, penicillic acid with amount ranged from no detection to small quantity and patulin with amount ranged from no detection to small quantity. Fusarium toxins per gram of infected postharvest onions and garlics were fusaric acid with amount ranged from no detection to $553.6{\mu}g/g$. However, deoxyrivalenol and nivalenol were not detected from onins and garlics infected by Fusarium.

2006~2010년도 국내 노지재배 고추의 바이러스병 발생현황

이장하,홍진성,주호종,박덕환,Lee, Jang Ha,Hong, Jin Sung,Ju, Ho-Jong,Park, Duck Hwan 한국유기농업학회 2015 韓國有機農業學會誌 Vol.23 No.1

2006년부터 2010년까지 국내 고추 노지재배 포장을 대상으로 경상남도와 제주도를 제외한 강원도 11개 지역 등 전국에 걸쳐 총 83개 지역을 중심으로 바이러스 이병체를 채집하여 연차별 고추 발생 바이러스의 발병률, 바이러스 종류 및 감염 형태를 조사하였다. 2006년부터 2010년까지의 고추에서의 평균 단독 감염률은 46.6%, 복합 감염률은 48.0%로 조사되어 고추 생산에 있어서 가장 큰 위해요소는 바이러스 발병으로 나타났다. 바이러스별로는 CMV가 평균 34.8% 발병률로 가장 우점 바이러스로 조사되었다. 반면 BBWV2는 낮은 발병율을 보여주었으며, TSWV는 충남과 전남지역에 국한되는 것으로 조사되었다. 따라서 고추 노지재배 시 발생하는 바이러스의 위해도를 발병률에 따라 구분하면 CMV, PMMoV, 그리고 PepMov 순으로 조사되었다. 또한 복합 감염의 발생도 모든 조사지역 시료에서 검출되었으며, 이에 대한 감염 별 바이러스 종류와 발생률을 분석하였다. 복합 감염에서 가장 빈번하게 검출된 바이러스는 CMV로, CMV+BBWV2, CMV+PepMoV, CMV+PMMoV의 복합 감염형태가 검출률이 높게 나타났다. 따라서 고추의 유기농 재배 생산에 가장 큰 위협요인으로 작용하는 바이러스의 적절한 대책마련을 위한 지속적인 바이러스 모니터링과 3종 이상의 복합 감염 위해성을 판단하기 위한 추가 연구가 필요하다고 사료된다. In this study, viral disease samples were obtained between 2006 and 2010 from pepper fields in 11 major pepper-growing districts in Gangwon-do, and in 83 areas from other provinces, with the exception of Gyeongsangnam-do and Jeju island in Korea. In order to assess the type of infection, field surveys were conducted with regard to viral disease severity and virus type, based on typical symptoms on leaves. The means of single and mixed-virus infections were 46.6% and 48.0%, respectively, during those periods, suggesting that viruses are the agents that most severely decrease pepper production in field cultivation in Korea. In terms of single infection, Cucumber mosaic virus (CMV) was the most prevalent virus based on its disease severity ratings (34.8%). Next, Pepper mild mottle virus (PMMoV) and Pepper mottle virus (PepMoV) were shown to cause severe viral diseases in pepper, with disease severities of around 5-10%. On the other hand, Tomato spotted wilt virus (TSWV) occurs in a limited area in Chungcheongnam-do and Jeollanam-do. Thus, the viral disease caused by CMV, PMMoV, and PepMoV in pepper can be severe, and these virus types should remain considered critical reasons for decreased pepper production in field cultivation in Korea. In addition to single infection, mixed infections are frequently observed in collected pepper samples from all areas. The ratios of mixed infection were therefore studied to evaluate the disease severity of mixed infections and to define individual virus types. These data showed that different types of viruses were present, and CMV was the most abundant virus for mixed infection, as in the case of single infection. Among mixed infections, the highest disease severity was seen with CMV+Broad beam wilt virus 2 (BBWV2), followed by other types of mixed infection such as CMV+PepMoV and CMV+PMMoV. However, further work is needed to reduce the severe damage caused by viruses and to assess mixed infection types involving three or more viruses.

Isolation and Characterization of Burkholderia cepacia strain YJK2, Antagonistic Microorganism of Paprika Pathogens

양수정,김형무,주호종,Yang, Soo-Jeong,Kim, Hyung-Moo,Ju, Ho-Jong Korean Association of Organic Agriculture 2015 韓國有機農業學會誌 Vol.23 No.1

Although several adverse effects have been increased in recent years, synthetic agro-chemicals have been widely used to control diseases on paprika. This research was conducted to isolate and to characterize the antagonistic microorganism to control major paprika diseases, gray mold rot, fruit and stem rot, phytophthora blight, sclerotium rot, and wilt disease. Analysis of the fatty acid and analysis of the 16S rDNA gene sequence revealed that YKJ2 isolated in this research belongs to a group of Burkholderia cepacia. Specially, 16S rDNA gene sequence of YKJ2 showed 99% of sequence similarity with B. cepacia. Observation through the optical microscope revealed that YKJ2 was effective on suppression of the spore germination and the hyphal growth of pathogens. YKJ2 treatment on pathogens induced marked morphological changes like hyphal swelling and degradation of cell wall. In the case of phytophthora blight, the zoosporangium formation was restrained. On the basis of the results of this study, we propose that an antagonistic microorganism, B. cepacia, found in this study naming as "B. cepacia strain YKJ2" and has great potential as one of biological control agents against major diseases of paprika.

파프리카에 발생하는 주요 병원균에 대한 길항미생물, Serratia marcescens-YJK1, 분리와 특성

양수정,김형무,주호종,Yang, Soo-Jeong,Kim, Hyung-Moo,Ju, Ho-Jong 한국유기농업학회 2014 韓國有機農業學會誌 Vol.22 No.4

파프리카에 발생하는 병들을 방제하기 위하여 합성농약이 광범위하게 사용되어왔지만 최근에 수많은 농약사용의 부작용에 대한 관심이 증가 하고 있다. 파프리카 주요병인 잿빛곰팡이병, 줄기 및 과실썩음병, 역병, 균핵병, 시들음병을 방제하기 위한 미생물을 분리하고 특성을 파악하기 위하여 본 연구를 실시하였다. 지방산분석과 16S rDNA 염기배열은 이 연구에서 분리한 YKJ1가 Serratia marcescens 그룹에 속하는 것을 밝혔다. 특히, YKJ1의 16S rDNA 염기배열은 S. marcescens의 염기서열과 99% 상동성을 보였다. 광학현미경을 통해 YKJ1처리에 의해 병원균의 포자 발아 및 균사 생장이 저해됨을 확인 하였다. YKJ1처리는 팽윤균사와 같은 현저한 형태적 변화와 세포벽의 분해를 유발하였다. 역병균의 경우 유주자낭의 형성이 억제되었다. 본 연구에서 동정한 S. marcescens는 S. marcescens-YKJ1으로 부르고자 한다. 포장실험등과 같은 시험이 차후 더 요구되어지나 파프리카의 주요 병관리를 위한 생물적 방제제의 하나로 가치가 있을 것으로 생각된다. Synthetic agro-chemicals have been widely used to control diseases on paprika but these days negative attention has been increasing to use of them because of several adverse effects. This research was conducted to isolate and to characterize the antagonistic microorganism to control major paprika diseases, gray mold rot, fruit and stem rot, phytophthora blight, sclerotium rot, and wilt disease. Analysis of the fatty acid and analysis of the 16S rDNA gene sequence revealed that YKJ1 isolated in this research belongs to a group of Serratia marcescens. Specially, 16S rDNA gene sequence of YKJ1 showed 99% of sequence similarity with S. marcescens. Observation through the optical microscope revealed that YKJ1 suppressed the spore germination and the hyphal growth of pathogens. YKJ1 treatment on pathogens induced marked morphological changes like hyphal swelling and degradation of cell wall. In the case of phytophthora blight, the zoosporangium formation was restrained. S. marcescens found in this study call as S. marcescens-YKJ1 and it may be valuable as one of biological control agents against major diseases of paprika in the future even though it is require to be tested with more study on field test.

[농화학] 수확후 채소류에 발생하는 진균독소의 탐색과 방제 (Ⅱ) 이병된 양념 채소류(양파, 마늘, 고추)에서 주요 진균독소 검출

정일민(Ill-Min Chung),주호종(Ho-Jong Ju),심성철(Sung-Chur Sim),백수봉(Su-Bong Paik),유승헌(Seung-Hun Yu) 한국분석과학회 1998 분석과학 Vol.11 No.3

세포소기관 형광발현 형질전환체와 바이러스 단백질 위치화 고찰

홍민지 ( Min-ji Hong ),주호종 ( Ho-jong Ju ) 전북대학교 농업과학기술연구소 2016 농업생명과학연구 Vol.47 No.1

Cells are surrounded by a cell membrane as a basic unit constituting the organism is found in all organisms, including plants. Subcellular organelles specialized structural unit performing a specific function within cell. Studies on the location in the protein of the organelles in a cell biological point of view to understand the function of the protein may provide valuable important information about the role of the protein on a series of processes occurring within the cell. Although there are a number of different ways, the method of using GFP (green fluorescent protein) has been used most commonly to check out the degree and location of gene expression and other cell biological purpose. Many researches have been developed subcellular organelle markers on model plants. Arabidopsis thaliana has been known the most useful model plant in many fields of plant science and transgenic Arabidopsis expressing fluorescent proteins at various subcellular organelles were developed to study the protein localization. However, Nicotiana benthamiana has been used as the best model plant to facilitate cell biological studies for most plant viruses. Therefore, if N. benthamiana transgenic plants expressing fluorescent proteins at subcellular organelles are exist, that will be useful in plant virus localization study.

기후변화와 식물 병 발생의 관계를 중심으로 한 딥러닝 모델 연구 동향

김해인 ( Hae-in Kim ),윤주연 ( Ju-yeon Yoon ),이귀재 ( Kui-jae Lee ),주호종 ( Ho-jong Ju ) 전북대학교 농업과학기술연구소 2023 농업생명과학연구 Vol.54 No.2

This review paper explores the intersection of plant disease, climate change, and deep learning techniques. The changing climate significantly impacts plant health, leading to the emergence and spread of various diseases that pose significant challenges to agricultural productivity and food security. Deep learning, a subfield of machine learning, has shown great promise in addressing these challenges by providing powerful tools for disease detection, diagnosis, and prediction. In this review, we examine the current state of plant disease management, the impact of climate change on plant health, and the application of deep learning methods in mitigating and understanding plant diseases under changing climatic conditions. We present an overview of the critical deep learning approaches used in plant disease research and highlight their advantages, limitations, and potential future directions. Additionally, we discuss the availability and challenges associated with data collection, preprocessing, and model deployment in the context of plant disease and climate change research. By embracing the synergy between climate change, plant diseases, and deep learning, we aim to provide valuable insights and foster further research in plant disease management.

Allelopathic Potential Evaluation of Rice Varieties on Echinochloa crus-galli

Chung, Ill-Min(정일민),Kwang-Ho Kim(김광호),Jong-Kuk Ahn(안종국),Ho-Jong Ju(주호종) 韓國雜草學會 1997 Weed&Turfgrass Science Vol.17 No.1

Lily Mottle Virus의 특성에 관한 고찰

찬초타키언 ( Kean Chanchota ),조영상 ( Young-sang Cho ),주호종 ( Ho-jong Ju ) 전북대학교 농업과학기술연구소 2022 농업생명과학연구 Vol.53 No.1

Lily mottle virus (LMoV) is a major virus that infects lily plants everywhere. This virus was first named Tulip breaking virus (TBV) until the 1990s since these two viruses shared some similar symptoms on the tulip plant and physical properties. Further studies revealed that a particular isolate (called LMoV later) differs from TBV in host range, serological properties and transmissibility. LMoV belongs to Potyviridae family which has the polyprotein cleaving into 10 functional protein products. Plants infected by LMoV may show some differences in symptoms due to the susceptibility of different lily cultivars to LMoV. The common symptoms of LMoV are vein clearing, leaf mottle, leaf mosaic chlorotic and yellow streaking, abnormal growth, premature flower dropping and short vase life. The major transmission of LMoV to lily plants is done by aphids. As long as the LMoV-resistance plant has not been developed by genetically engineering programs or breeding programs, reliable diagnosis is the only way to control its population. In this review, we described the various characteristics of LMoV including biological properties to provide basic knowledges of LMoV.