• Title/Summary/Keyword: 외래잡초

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Report on the 54th annual meeting of the weed science society of Japan (일본잡초학회에서 본 일본의 잡초연구 동향)

  • Hwang, Jae-Bok;Kim, Kyung-Hyun
    • Korean Journal of Agricultural Science
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    • v.42 no.4
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    • pp.335-339
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    • 2015
  • This paper reviews current status of weed science in Japanese regional agricultural systems based on the 54th Annual Meeting of the Weed Science Society of Japan. About 300 researchers from 5 countries including Korea participated in the Conference and presented 100 papers in research areas. This congress has an purpose to discuss new troubles, findings and results of weed science. Weed science faces big challenges such as increase in herbicide-resistant weeds, gene-flow from transgenic crops, and invasive weeds. Major research topics were invasive weeds and their ecology, allelopathy, weed management in paddy field, weed management in field crops, and herbicide resistance. Weed control and herbicide resistance management in paddy field were a main object of research. To prevent the increase of problematic weeds and to overcome food crisis, the importance of weed-related researches has been raised. Therefore it is expected that various weed management systems and control of herbicide resistant weeds should be studied continuously in the weed science.

Weed Flora Diversity and Composition on Upland Field of Korea (우리나라 밭작물 재배지 잡초 발생 및 분포현황)

  • Lee, In-Yong;Oh, Young-Ju;Hong, Sun-Hee;Choi, Jun-Keun;Heo, Su-Jeoung;Lee, Chae-Young;Hwang, Ki-Seon;Park, Kee-Woong;Cho, Seng-Hyun;Kwon, Oh-Do;Im, Il-Bin;Kim, Sang-Kuk;Seong, Deok-Gyeong;Chung, Young-Jae;Kim, Chang-Seok;Lee, Jeongran;Seo, Hyun-A;Jang, Hyung-Mok
    • Weed & Turfgrass Science
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    • v.4 no.3
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    • pp.159-175
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    • 2015
  • Surveys of weed species on upland fields were conducted in Korea to investigate the occurrence of weed flora from April to May 2014 for winter crop fields and from July to August 2014 for summer crop fields. From the nation-wide survey, 375 weed species in 50 families were identified and classified to 162 annuals, 78 biennials and 135 perennials. Based on the occurrence ratio, the most weed species belonged to Compositae (73 species). 44 and 25 weed species belonged to Poaceae and Polygonaceae, respectively, and these 183 weed species in the most five families accounted for 49% of total weed occurrence. While 287 weed species in 45 families occurred in the winter crop fields, 339 weed species in 47 families occurred in summer crop fields. The most dominant weed species in Korean upland fields were Digitaria ciliaris, followed by Portulaca oleracea, Acalypha australis, Chenopodium album, Rorippa palustris etc. 129 weed species in 25 families were considered as exotic weeds. Based on the importance analysis, the highest value was C. album followed by Amaranthus lividus, Conyza canadensis etc. This information could be useful for estimation of future weed occurrence, weed population dynamics and establishment of weed control methods in upland fields of Korea.

Changes in Weed Vegetation in Paddy Fields over the Last 50 Years in Korea (과거 50년간 우리나라 논잡초 군락의 변화)

  • Lee, In-Yong;Kim, Chang-Seog;Lee, Jeongran;Park, Tae-Seon;Moon, Byeng-Chul;Park, Jae-Eup
    • Weed & Turfgrass Science
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    • v.5 no.1
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    • pp.1-4
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    • 2016
  • The Rural Development Administration of Korea conducted a series of surveys of paddy weeds from 1971 to 2013 in approximately 10-year cycles and the results have been used for the efficient weed management of paddy fields. In 1971, annual weeds such as Rotala indica, Eleocharis acicularis f. longiseta, and Monochoria vaginalis were dominant. In 1981, the population of Echinochloa species decreased whereas broadleaf weeds such as M. vaginalis, Sagittaria pygmaea, and S. trifolia were dominant. In 1991, perennial weeds such as Eleocharis kuroguwai, S. pygmaea, and S. trifolia were dominant over annual weeds. In 2000, M. vaginalis was the most abundant species, followed by E. kuroguwai, Echinochloa species, and S. trifolia. In 2013, herbicide-resistant Echinochloa species and M. vaginalis were most dominant, followed by E. kuroguwai, Scirpus juncoides, and S. trifolia. It has been predicted that the prevalence of Echinochloa species will continue to increase and that perennial weeds will be more abundant than annual ones in the near future. The occurrence of herbicide-resistant weeds and exotic weeds will also increase due to global warming and changes in agricultural patterns.

Studies on Ecological Characteristics and Control of Exotic Weeds 1. Distribution and ecological characteristics of exotic weeds in forage crop field (주요 외래잡초의 생태적 특성 및 방제에 관한 연구 1. 조사료 포장에 발생하는 주요 외래잡초의 분포 및 생태적 특성)

  • 박근제;윤세형;이종경;김영진
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.21 no.2
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    • pp.97-102
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    • 2001
  • This study was carried out to survey the weed distributions in 6 areas(Suwon, Seonghwan, Seosan, Taekwanryeong, Namwon and Yeongam) and to investigate the ecological characteristics of exotic weeds from 1997 to 1999. Total 44 species in 15 families of exotic weds were observed in grassland and forage crop field. Among them 4 species in 1 family were monocotyledonous and 40 species in 14 families were dicotyledonous weeds. Most common species among exotic weeds examined in this study were Rumex acetosella, Rumex crispus. Chenopodium album, Abutilon theophrasti, Amaranthus retroflexus, Polygonum orientale etc. Inedible weeds with hairs, prickles, fetor or poison were Solanum carolinense Xanthium strumarium, Datura stramnium, Erechtites hieracifolia, Anthemis cotula, Phytolaca americana etc. The relative density of Phytolaca americana increased with decreament of soil pH and content of available phosphate, and that of Solanum carolinense increased with decreament of soil pH and increament of available phosphate. Most of exotic weed seeds germinated well under light condition with $25~30^{\circ}C$, and some of those were hard or dormant seed.

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Studies on Ecological Characteristics and Control of Exotic Weeds 2. Introduction route and control of exotic weeds in forage crop field (주요 외래잡초의 생태적 특성 및 방제에 관한 연구 2. 조사료 포장에 발생하는 주요 외래잡초의 유입경로 및 방제)

  • 박근제;윤세형;이종경;김영진
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.21 no.2
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    • pp.103-108
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    • 2001
  • This study was carried out to investigate the introduced route of exotic weeds and the effects of herbicide treatment. Herbicide trial was arranged as a completely randomized block design with treatment 1(\circled1 Dicamba $1\ell$/ha, \circled2 Mecoprop $5\ell$/ha, \circled3 Bentazone $3\ell$.ha, \circled4 Glyphosate $4\ell$/ha and \circled5 Pyrazosulfuron-ethyl 2kg/ha), and treatment 2(\circled1 Dicamba $2\ell$/ha, \circled2 Dicamba $4\ell$/ha, \circled3 Glyphosate $6\ell$/ha, \circled4 Glyphosate 4+Dicamba $1\ell$/ha and \circled5 Glyphosate 4+dicamba $2\ell$/ha) against 10 exotic weed species, and conducted in Suwon, Seosan and Yeongam from 1997 to 1999. Exotic weeds have been mostly introduced within imported cereals for concentrate feed or within seeds for forage production. Most of exotic weeds in forage crop field were controlled more than 95% by herbicide, but it was desirable that the control of exotic weeds was abreast of chemical and ecological method.

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Exotic Weeds Classification : Hierarchical Approach with Convolutional Neural Network (외래잡초 분류 : 합성곱 신경망 기반 계층적 구조)

  • Yu, Gwanghyun;Lee, Jaewon;Trong, Vo Hoang;Vu, Dang Thanh;Nguyen, Huy Toan;Lee, JooHwan;Shin, Dosung;Kim, Jinyoung
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.12
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    • pp.81-92
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    • 2019
  • Weeds are a major object which is very harmful to crops. To remove the weeds effectively, we have to classify them accurately and use herbicides. As computing technology has developed, image-based machine learning methods have been studied in this field, specially convolutional neural network(CNN) based models have shown good performance in public image dataset. However, CNN with numerous training parameters and high computational amount. Thus, it works under high hardware condition of expensive GPUs in real application. To solve these problems, in this paper, a hierarchical architecture based deep-learning model is proposed. The experimental results show that the proposed model successfully classify 21 species of the exotic weeds. That is, the model achieve 97.2612% accuracy with a small number of parameters. Our proposed model with a few parameters is expected to be applicable to actual application of network based classification services.

The Occurrence of Weed species in Cultivated Ligularia fischeri Fields (곰취밭에 발생하는 잡초양상)

  • Lee, In-Yong;Kim, Chang-Seok;Lee, Jeongran;Kim, Jonghwan;Kim, Kyung-Hoon;Kim, Mi-Seon;Song, Hee-Kun;Kim, Duk-Hwan
    • Weed & Turfgrass Science
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    • v.3 no.2
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    • pp.95-101
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    • 2014
  • This study was conducted in order to utilize the basic data for weed control by surveying the occurrence of weed species and the degree of damages caused by those weeds occurred in cultivated Ligularia fischeri fields. Survey was carried out five times, on May, June, July, August and October in 2013. The weed flora was composed of a total of 104 weeds, 37 families, of which 55 species were annual, 25 species were biennial, and 24 were perennial plants. Twenty-six exotic species were included as well. Dominance was the highest with Chenopodium album followed by Stellaria aquatica, Echiochloa crus-galli, Conyza canadensis, and Artemisia princeps etc. in order. In the PCA plot analysis, weeds occurred in cultivated L. fischeri fields were divided into three groups, Persicaria thunbergii-Bidens frondosa community, Chenopodium album community and Capsella bursapastoris community. The degree of damages in cultivated L. fischeri fields was investigated by weighing roots of L. fischeri. We found that 56% decreased root weight in no weeding plots comparing to that in weed management plots. We infer from this result that decreased roots will affect to the growing of L. fischeri in following year.