• Title/Summary/Keyword: tomato growing

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Gray Leaf Spot of Tomato Caused by Stephylium solani

  • Kim, Byung-Soo;Cho, Hyun-Jung;Hwang, Hee-Suk;Cha, Yu-Sun
    • The Plant Pathology Journal
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    • v.15 no.6
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    • pp.348-350
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    • 1999
  • Gray leaf spot of tomato was observed on tomato plants growing in a middle of a pepper field where pepper plants were badly infected with gray leaf spot. Both Stemphylium solani and S. lycopersici were isolated from the lesion. Both species were highly pathogenic on tomato and pepper. This is the first report in Korea of occurrence of gray leaf spot of tomato caused by Stemphylium solani Weber.

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Basic Studies on the Consumptive Use of Water Required for Dry Field Crops -Tomato and Chinese Cabbage- (밭작물소비수량에 관한 기초적 연구 -토마토 및 가을배추-)

  • 김철기;김진한;최홍규
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.30 no.3
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    • pp.25-37
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    • 1988
  • The purpose of this study is to fmd out the bask data for irrigation plans of tomato and chinese cabbage during the growing period, such as total amount of evapotranspiration, coefficients of evapotranspiration at each growth stage, the peak stage of evapotranspiration, the maximum evapotranspiration, optimum irrigation point, total readily available moisture and intervals of irrigation date. The plots of experiment were arranged with split plot design which were composed of two factors, irrigation point for main plot and soji texture for split plot, and three levels, irrigation points with PF 1.8, PF 2.2, PF 2.6 for tomato and those with PF 1.9, PF 2.3, PF 2.7, for Chinese cabbage, soil textures of silty clay, sandy loam and sandy soil for both tomato and Chinese cabbage, with two replications. The results obtained are summarized as follows 1. There was the highest significant correlation between the evapotranspiration and the pan evaporation, beyond all other meteoralogical factors considered. Therefore, the pan evaporation is enough to be used as a meteorological index measuring the quantity of evapotranspiration. 2. 1/10 probability values of maximum total pan evaporation during growing period for tomato and Chinese cabbage were shown as 355.8 mm and 233.0 mm, respectively, and those of maximum ten day pan evaporation for tomato and Chinese cabbage, 68.0 mm and 43.8 mm, respectively. 3. The time that annual maximum of ten day pan evaporation can be occurred, exists at any stage of growing period for tomato, and at any growth stage till the late of Septemberfor Chinese cabbage. 4. The magnitude of evapotranspiration and of its coefficient for tomato and Chinese cabbage was occurred in the order of pF 1.8>pF 2.2>pF 2.6 and of pF 1.9>pF 2.3>pF 2.7 respectively in aspect of irrigation point and of silty clay>sandy loam>sandy soil in aspect of soil texture. 5. 1/10 probability value of evapotranspiration and its coefficient during the growing period of tomato were shown as 327.3 mm and 0.92 respectively, while those of Chinese cabbage, 261.0 mm and 1.12 respectively. 6. The time that maximum evapotranspiration of tomato can be occurred is at the date of fortieth to fiftieth after transplanting and the time for Chinese cabbage is presumed to he in the late of septemben At that time, 1/10 probability value of ten day evapotranspiration and its coefficient for tomato is presumed to be 74.8 mm and 1.10 respectively, while those of Chinese cabbage, 43.8 mm and 1.00. 7. In aspect of only irrigaton point, the weight of raw tomato and Chinese cabbage were mcreased in the order of pF 2.2>pF 1.8>pF 2.6 and of pF 1.9>pF 2.3>pF 2.7, respectively but optimum irrigation point for tomato and Chinese cabbage, is presumed to be pF 2.6 - 2.7 if nonsignificance of the yield between the different irrigation treatments, economy of water, and reduction in labour of irrigaion are synthetically considered. 8. The soil moisture extraction patterns of tomato and Chinese cabbage have shown that maximum extraction rate exists at 7 cm deep layer at the beginning stage of growth m any soil texture and that extraction rates of 21 cm to 35 cm deep layer are increased as getting closer to the late stage of growth. And especially the extraction rates of 21 cm deep layer and 35 cm deep layer have shown tendency to be more increased in silty clay than in any other soils. 9. As optimum irrigation point is presumed to be pF Z6-2.7, total readily available moisture of tomato in silty clay, sandy loam and sandy sofl becomes to be 19.06 mm, 21.37 mm and 20.91 mm respectively while that of Chinese cabbage, 18.51 mm, 20.27 mm, 21.11 mm respectively. 10. On the basis of optimum irrigation point with pF 2.6 - 2.7 the intervals of irrigation date of tomato and Chinese cabbage at the growth stage of maximum consumptive use become to be three days and five days respectively.

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Effects of Tomato-Juice and Potassium Phosphate on the Infection of Botryis cinerea LVF12 on the Tomato Leaves (토마토쥬스와 KH$_2$PO$_4$가 Botrytis Cinerea LVF12 분생포자의 토마토 감염에 미치는 영향)

  • 손지희;이재필;김철승;임은경;송주희;김현주;박현철;문병주
    • Research in Plant Disease
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    • v.7 no.3
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    • pp.134-139
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    • 2001
  • Effects of tomato-juice and KH$_2$PO$_4$ as exogenous nutrients on the infection of Botrytis cinerea LVF12 and pathogenicity to tomato were investigated. B. cinerea LVF12, which was previously reported as a casual agent of the gray mold rot of perilla, was used for pathogenesis on tomato leaves. No infection was induced, and no lesion developed on tomato leaves by the conidial suspension of LVF12 when the inoculum was prepared in sterilized water. However, when the conidial suspensions of LVF12 added with various concentrations and conditions of tomato-juice were inoculated on whole tomato plants, the disease was induced readily, Among them, 20% tomato juice with 0.1M KH$_2$PO$_4$ appeared to be the most suitable nutrient to promote high disease incidence on tomato. For the pathogenicity test according to the growing stage of tomato, the mature leaves were more susceptible than seedlings. Symptoms on the infected plants were initial small gray spots at the inoculated area. Later the whole leaves, petioles and stems became gray and eventually fell off, Under high humidity conditions, the diseased leaves and stems were covered with gray hyphae and conidia. All symptoms of infected plants were identical to those in the field conditions.

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A Bayesian Stochastic Frontier Estimation of Efficiencies for Strawberry and Tomato Farming : Effect of Environmentally Friendly Farming (베이지언 확률프론티어 기법을 이용한 딸기 및 토마토 친환경재배의 효율성 분석)

  • Park, Ho-Jeong;Yang, Seung-Ryong
    • Korean Journal of Organic Agriculture
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    • v.24 no.3
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    • pp.355-368
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    • 2016
  • There are growing interests in environmental friendly cultivation for the matter of health concern. This study analyzes an economic efficiency of strawberry and tomato farming by considering the role of environmentally friendly cultivation. The Database of Rural Development Administration is used for strawberry and tomato farming households. We adopt a Bayesian stochastic frontier model to resolve a small sample property of the data. Empirical finding is that environmentally friendly cultivation improves the revenue of farming but the effect on net profit is not conclusive which calls for future research.

Machine Vision Based Detection of Disease Damaged Leave of Tomato Plants in a Greenhouse (기계시각장치에 의한 토마토 작물의 병해엽 검출)

  • Lee, Jong-Whan
    • Journal of Biosystems Engineering
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    • v.33 no.6
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    • pp.446-452
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    • 2008
  • Machine vision system was used for analyzing leaf color disorders of tomato plants in a greenhouse. From the day when a few leave of tomato plants had started to wither, a series of images were captured by 4 times during 14 days. Among several color image spaces, Saturation frame in HSI color space was adequate to eliminate a background and Hue frame was good to detect infected disease area and tomato fruits. The processed image ($G{\sqcup}b^*$ image) by OR operation between G frame in RGB color space and $b^*$ frame in $La^*b^*$ color space was useful for image segmentation of a plant canopy area. This study calculated a ratio of the infected area to the plant canopy and manually analyzed leaf color disorders through an image segmentation for Hue frame of a tomato plant image. For automatically analyzing plant leave disease, this study selected twenty-seven color patches on the calibration bars as the corresponding to leaf color disorders. These selected color patches could represent 97% of the infected area analyzed by the manual method. Using only ten color patches among twenty-seven ones could represent over 85% of the infected area. This paper showed a proposed machine vision system may be effective for evaluating various leaf color disorders of plants growing in a greenhouse.

A Rapid and Efficient Method for Construction of an Infectious Clone of Tomato yellow leaf curl virus

  • Bang, Bongjun;Lee, Jongyun;Kim, Sunyoung;Park, Jungwook;Nguyen, Thao Thi;Seo, Young-Su
    • The Plant Pathology Journal
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    • v.30 no.3
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    • pp.310-315
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    • 2014
  • Tomato yellow leaf curl virus (TYLCV), a member of the genus Begomovirus, is responsible for one of the most devastating viral diseases in tomato-growing countries and is becoming a serious problem in many subtropical and tropical countries. The climate in Korea is getting warmer and developing subtropical features in response to global warming. These changes are being accompanied by TYLCV, which is now becoming a large problem in the Korean tomato industry. The most effective way to reduce damage caused by TYLCV is to breed resistant varieties of tomatoes. To accomplish this, it is necessary to establish a simple inoculation technique for the efficient evaluation of resistance to TYLCV. Here, we present the rolling circle amplification (RCA) method, which employs a bacteriophage using phi-29 DNA polymerase for construction of infectious TYLCV clones. The RCA method is simple, does not require sequence information for cloning, and is less expensive and time consuming than conventional PCR based-methods. Furthermore, RCA-based construction of an infectious clone can be very useful to other emerging and unknown geminiviruses in Korea.

Real-Time Tomato Instance Tracking Algorithm by using Deep Learning and Probability Model (딥러닝과 확률모델을 이용한 실시간 토마토 개체 추적 알고리즘)

  • Ko, KwangEun;Park, Hyun Ji;Jang, In Hoon
    • The Journal of Korea Robotics Society
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    • v.16 no.1
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    • pp.49-55
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    • 2021
  • Recently, a smart farm technology is drawing attention as an alternative to the decline of farm labor population problems due to the aging society. Especially, there is an increasing demand for automatic harvesting system that can be commercialized in the market. Pre-harvest crop detection is the most important issue for the harvesting robot system in a real-world environment. In this paper, we proposed a real-time tomato instance tracking algorithm by using deep learning and probability models. In general, It is hard to keep track of the same tomato instance between successive frames, because the tomato growing environment is disturbed by the change of lighting condition and a background clutter without a stochastic approach. Therefore, this work suggests that individual tomato object detection for each frame is conducted by YOLOv3 model, and the continuous instance tracking between frames is performed by Kalman filter and probability model. We have verified the performance of the proposed method, an experiment was shown a good result in real-world test data.

Effect of Spent Mushroom Compost on Tomato Growth after Cultivation of Button Mushroom, Agaricus bisporus. (양송이버섯 재배 후 폐상퇴비가 토마토 생육에 미치는 영향)

  • Lee, Chan-Jung;Cheong, Jong-Chun;Jhune, Chang-Sung;Kim, Seung-Hwan;Yu, Hyung-Sik
    • Korean Journal of Organic Agriculture
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    • v.17 no.1
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    • pp.83-94
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    • 2009
  • This study was carried out to investigate the effect of application of spent mushroom compost(SMC) on soil chemical properties and tomato growth. After the mushroom has been harvested, the SMC contains a lot of organic material, different microorganism and high density of mushroom hypha. SMC of white button mushroom(Agaricus bisporus) contained diverse microorganisms including fluorescent Pseudomonas sp. and actinomycetes. These isolates showed strong antagonistic to bacterial wi1t(Ralstonia solanacearum) and fusarium wi1t(Fusarium oxysporum) of tomato. The growth and sugar content of tomato showed no significant difference with other treatments by stage of maturity. The EC, exchangeable K and Ca contents of the soil during growing stage were increased in comparison to those of farmhouse practice, but available phosphate decreased. Microbial population in the soil in all growing stages showed no significant difference with other treatments, but yield of tomato decreased in some way in comparison to farmhouse practice. As the result of analysis on chemical property of soil and plant growth and yield of tomato, it seems likely that SMC of white button mushroom(Agaricus bisporus) may be used as substitute of practice compost on cultivation of tomato.

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Occurrence of Blue Mold on Tomato Caused by Penicillium oxalicum in Korea

  • Kwon, Jin-Hyeuk;Shen, Shun-Shan;Jee, Hyeong-Jin
    • The Plant Pathology Journal
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    • v.24 no.1
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    • pp.87-89
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    • 2008
  • A blue mold on tomato fruit caused by Penicillium oxalicum occurred sporadically in a greenhouse at Gyeongsangnam-do Agricultural Research and Extension Services. Infection usually occurred through wounds or cracks on the fruits. Symptoms began with water soaking lesions, then became watery and softened eventually. Colony of the causal fungus was white at the early growing stage, turned green on Czapek yeast extract agar and malt extract agar. Conidia were ellipsoidal in shape and $2-6{\times}2-4{\mu}m$ in size. Stipes were septate, smooth, thin walled, and $90-280{\times}3-4{\mu}m$ in size. Penicilli were mostly biverticillate. Ramuli were 1-3 groups, smooth, and $10-16{\times}2-3{\mu}m$ in size. Rami were 1-2 groups and $6-30{\times}2-4{\mu}m$ in size. Metulae were 2-3(5) verticils, smooth, and $12-20{\times}3-4{\mu}m$ in size. Phialides were 5-7 verticilate, ampulliform to cylindroidal, smooth, and $8-12{\times}2-3{\mu}m$ in size. Optimum temperature for growth was about $25^{\circ}C$. Pathogenicity of the fungus was proved on tomato fruit according to Koch's postulation. On the basis of mycological and pathological characteristics, the fungus was identified as P. oxalicum Currie & Thom. This is the first report of the blue mold on tomato fruit caused by P. oxalicum in Korea.

Dual infections of Tomato mosaic virus (ToMV) and Tomato yellow leaf curl virus (TYLCV), or Tomato mosaic virus (ToMV) and Tomato chlorosis virus (ToCV), detected in tomato fields located in Chungcheongnam-do in 2017

  • Choi, Go-Woon;Kim, Boram;Ju, Hyekyoung;Cho, Sangwon;Seo, Eunyoung;Kim, Jungkyu;Park, Jongseok;Hammond, John;Lim, Hyoun-Sub
    • Korean Journal of Agricultural Science
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    • v.45 no.1
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    • pp.38-42
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    • 2018
  • Demand for tomatoes has been increasing every year as people desire more healthy food. In Korea, tomatoes are mainly grown in the Chungnam, Chunnam and Kyungnam provinces. Recently, reports of whitefly-transmitted viral diseases have increased due to newly emerging whitefly pressures caused by climate change in Korea. Specifically, in 2017, the main tomato growing areas, Buyeo and Nonsan in Chungnam, showed damage typical of viral infection; therefore, we investigated viral diseases in these areas. We collected samples with virus-like symptoms and found that not only whitefly transmitted Tomato yellow leaf curl virus (TYLCV) and Tomato chlorosis virus (ToCV) were detected but also Tomato mosaic virus (ToMV, for which no specific vector is known) and Tomato spotted wilt virus (TSWV, transmitted by thrips). The ToMV-infected samples were mostly co-infected with either TYLCV or ToCV. Mixed infections of different combinations of TYLCV, ToCV and ToMV were detected with the mixed infection of two whitefly-transmitted viruses (TYLCV and ToCV) causing the most severe symptoms. According to the CP sequence of each virus, the 100% identities were shown to be Mexico/ABG73017.1 (TYLCV), Greece/CDG34553.1 (ToCV), China/AKN79752 (TSWV), and Australia/NP078449.1 (ToMV). Based on the sequence data, we presumed that these tomato infecting viruses were transmitted through insects and seeds introduced from neighboring countries.