• Title/Summary/Keyword: Tos17

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The Rice FON1 Gene Controls Vegetative and Reproductive Development by Regulating Shoot Apical Meristem Size

  • Moon, Sunok;Jung, Ki-Hong;Lee, Do-Eun;Lee, Dong-Yeon;Lee, Jinwon;An, Kyungsook;Kang, Hong-Gyu;An, Gynheung
    • Molecules and Cells
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    • v.21 no.1
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    • pp.147-152
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    • 2006
  • Most plant organs develop from meristems. Rice FON1, which is an ortholog of Clv1, regulates stem cell proliferation and organ initiation. The point mutations, fon1-1 and fon1-2, disrupt meristem balance, resulting in alteration of floral organ numbers and the architecture of primary rachis branches. In this study, we identified two knockout alleles, fon1-3 and fon1-4, generated by T-DNA and Tos17 insertion, respectively. Unlike the previously isolated point mutants, the null mutants have alterations not only of the reproductive organs but also of vegetative tissues, producing fewer tillers and secondary rachis branches. The mutant plants are semi-dwarfs due to delayed leaf emergence, and leaf senescence is delayed. SEM analysis showed that the shoot apical meristems of fon1-3 mutants are enlarged. These results indicate that FON1 controls vegetative as well as reproductive development by regulating meristem size.

A Study on the Gap between Theoretical and Actual Ship Waiting Ratio of Container Terminals: The Case of a Terminal in Busan New Port (컨테이너 터미널의 이론적 대기율과 실제 대기율 비교에 관한 연구: 부산항 신항 A 터미널을 대상으로)

  • Lee, Jung-Hun;Park, Nam-Kyu
    • Journal of Korea Port Economic Association
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    • v.34 no.2
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    • pp.69-82
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    • 2018
  • The number of ships serviced at the container terminals in Busan is increasing by 2.9% per year. In spite of the increase in calling ships, there are no official records of waiting rate by the port authority. This study attempts to compare the theoretical ship waiting ratio and actual ship waiting ratio. The actual ship waiting ratio of container terminals is acquired from the 2014 to 2016 data of PORT-MIS and Terminal Operating System (TOS). Furthermore, methods and procedures to measure the actual ship's waiting rate of container terminal are proposed for ongoing measurement. In drawing the theoretical ship waiting ratio, the queuing theory is applied after deploying the ship arrival probability distribution and ship service probability distribution by the Chi Square method. As a result, the total number of ships waiting in a terminal for three years was 587, the average monthly service time and the average waiting time was 13.8 hours and 17.1 hours, respectively, and the monthly number of waiting ships was 16.3. Meanwhile, according to the queuing theory with multi servers, the ship waiting ratio is 31.1% on a 70% berth occupancy ratio. The reason behind the huge gap is the congested sailing in the peak days of the week, such as Sunday, Tuesday, and Wednesday. In addition, the number of waiting ships recorded on Sundays was twice as much as the average number of waiting ships.