• 제목/요약/키워드: potato plant

검색결과 912건 처리시간 0.022초

유기농 감자재배지에서 감자역병에 의한 병 진전 및 수량감소 (Disease Progress and Yield Loss of Potato Late Blight Caused by Pntytophthora Infestans in Organic Farming Fields)

  • 류경열;지형진;최두회;천정욱;김종태;김병섭
    • 식물병연구
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    • 제11권2호
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    • pp.122-127
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    • 2005
  • Late blight of potato caused by Phtophthora infestans is one of the most destructive disease in organic farming as well as in the conventional cultivation in Korea. Incidence and progress of the disease largely depend on climatic conditions around the fields. However, the disease completely destroys whole leaves of the plant within two weeks in organic farming fields. While, potato leaves in conventional farming fields remain healthy for 5 weeks after the first symptom appearance, because fungicides were applied four times in average to control the disease. Area under disease progress curve (AUDPC) of organic farming fields ranged from 2314 to 2421 and quickly expanded compare to that of conventional farming fields. The tuber yield in the organic farming fields ranged from 0.96 ton per 10a to 1.5 ton per 10a, while it was 2.7 ton per 10a in conventional farming fields. Tuber yields were reduced to $42\~63\%$ by the infection of late blight and the reduction rate was closely related with the time of first occurrence of the disease in organic farming fields. Physiological races of the pathogen were diversified with R0,1,3,4,5,7,10,11 in organic farming fields at Hongchun area. Pathogen races were distributed with similar pattern at different areas of organic farming fields.

감자 Sucrose Transporter 유전자의 벼 Genome 내로의 도입 (Transformation of Rice (Oryza sativa L.) with Sucrose Transporter cDNA from Potato (Solanum tuberosum L.))

  • 백소현;유남희;윤성중
    • 식물조직배양학회지
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    • 제28권2호
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    • pp.97-101
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    • 2001
  • 동화산물의 분배 효율 개선을 통한 생산성 향상 가능성을 조사하고자 감자의 sucrose 수송자 유전자를 벼에 형질전환 하였다. 동진벼로부터 유도된 callus를 감자의 sucrose 수송자 유전자가 도입된 A. tumefaciens LBA 4404와 공동배양한 후, 선발배지에서 증식된 callus를 250 mg/L carbenicillin, 2 mg/L kinetin, 0.1 mg/L NAA가 첨가된 MS 배지에 옮겨 약2주 후부터 소식물체를 얻었다. Carbenicillin 250 mg/L 첨가된 MS 기본 배지에서 소식물체의 발근을 유도하여 재분화 식물체를 얻었다. 선발된 callus는 약 150%의 높은 식물체 재분화율을 보였다. 재분화 식물체에 대한 PCR 분석을 수행하여 감자의 sucrose수송자 유전자가 삽입된 형질전환 벼 식물체를 선발하였다. 선발된 형질전환 식물체에 대한 Southern blot 분석을 통하여 외래유전자인 감질 sucrose 수송자 유전자가 벼 genome 내에 안정적으로 도입되었음을 확인하였다.

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A Detailed Review on Recognition of Plant Disease Using Intelligent Image Retrieval Techniques

  • Gulbir Singh;Kuldeep Kumar Yogi
    • International Journal of Computer Science & Network Security
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    • 제23권9호
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    • pp.77-90
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    • 2023
  • Today, crops face many characteristics/diseases. Insect damage is one of the main characteristics/diseases. Insecticides are not always effective because they can be toxic to some birds. It will also disrupt the natural food chain for animals. A common practice of plant scientists is to visually assess plant damage (leaves, stems) due to disease based on the percentage of disease. Plants suffer from various diseases at any stage of their development. For farmers and agricultural professionals, disease management is a critical issue that requires immediate attention. It requires urgent diagnosis and preventive measures to maintain quality and minimize losses. Many researchers have provided plant disease detection techniques to support rapid disease diagnosis. In this review paper, we mainly focus on artificial intelligence (AI) technology, image processing technology (IP), deep learning technology (DL), vector machine (SVM) technology, the network Convergent neuronal (CNN) content Detailed description of the identification of different types of diseases in tomato and potato plants based on image retrieval technology (CBIR). It also includes the various types of diseases that typically exist in tomato and potato. Content-based Image Retrieval (CBIR) technologies should be used as a supplementary tool to enhance search accuracy by encouraging you to access collections of extra knowledge so that it can be useful. CBIR systems mainly use colour, form, and texture as core features, such that they work on the first level of the lowest level. This is the most sophisticated methods used to diagnose diseases of tomato plants.

Amylose-free sweet potato developed by RNAi of GBSSI

  • Otani, M.;Hamada, T.;Kim, S.H.;Takahata, Y.;Katayama, K.;Kitahara, K.;Suganuma, T.;Shimada, T.
    • 한국식물생명공학회:학술대회논문집
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    • 한국식물생명공학회 2005년도 춘계학술대회 및 국제심포지움 초록집
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    • pp.10-11
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    • 2005
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