• Title/Summary/Keyword: Race

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Resistance Characteristics of Watermelon Cultivars to Fusarium oxysporum f. sp. niveum (수박 품종들의 덩굴쪼김병균에 대한 저항성 특성)

  • Soo Min Lee;Eun Ju Jo;Hun Kim;Gyung Ja Choi
    • Research in Plant Disease
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    • v.29 no.3
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    • pp.258-267
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    • 2023
  • Fusarium wilt, caused by Fusarium oxysporum f. sp. niveum (Fon) is a serious disease in watermelon cultivation. Most of commercialized watermelon cultivars to Fusarium wilt are susceptible in Korea. Fon isolates were divided into four races (races 0, 1, 2, and 3), based on pathogenicity in four watermelon differentials including 'Sugar baby', 'Charleston gray', 'Calhoun gray' and 'PI-296341-FR'. We obtained 7 isolates of Fon and tested to determine race of the fungal strains. Fon KACC 40902 and Fon HA were race 0 and Fon NW1, Fon NW2, Fon CW and Fon KACC 40901 were race 1. And Fon KACC 40905 was race 2, but race 3 isolate of Fon was not founded. We also tested virulence of seven Fon isolates on three-susceptible cultivars of watermelon. The isolates showed different virulence on the cultivars. In addition, to study the resistance characteristics of watermelon to Fon, we selected three moderately or highly resistant cultivars of watermelon and occurrence of Fusarium wilt in seedlings of the cultivars by seven Fon isolates was investigated. Among them, 'Calhoun gray' is highly resistant to six Fon isolates except Fon KACC 40905. On the other two cultivars, disease severity of Fusarium wilt caused by each isolate was positively correlated with the virulence of the Fon isolates. The results suggest that resistance of the watermelon cultivars to Fon isolates is likely affected by the virulence of the pathogen.

Inheritance of Resistance to Bacterial Spot and to Phytophthora Blight in Pepper (고추의 더뎅이병(病) 저항성(抵抗性)과 역병(疫病) 저항성(抵抗性)의 유전(遺傳))

  • Kim, Byung Soo;Kwon, Young Seok;Shon, Eun Young
    • Current Research on Agriculture and Life Sciences
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    • v.9
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    • pp.127-133
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    • 1991
  • PI201232, a pepper line resistant to Phytophthora capsici Leonian, was crossed with PI2713222 and P1163192, resistant to Xanthomonas campestTis pv. vesicatoria (Doidge) Dye and inheritance of the resistance to each disease and genetic relationship between the two disease resistances was studied. Non-hypersensitive resistance to race 3 of X. c. pv. vesicatoria of PI271322 was inherited in a quantitative mode. Resitance to P. capsici of PI201232 was inherited in a mode close to two dominant alleles. Hypersensitive resistance to race 1 of X. c. pv. vesicatoria of PI271322 was inherited in a mode of single dominant allele. PI 163192 was consistently resistant to both race 1 and race 3 of X c. pv. vesicatoria and the resistance was inherited in a quantitative mode with high dominance effect. Resistance to X. c. pv. vesicatoria was inherited independently from resistance to P. capsici.

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Population Structure and Race Variation of the Rice Blast Fungus

  • Seogchan;Lee, Yong-Hwan
    • The Plant Pathology Journal
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    • v.16 no.1
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    • pp.1-8
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    • 2000
  • Worldwide, rice blast, caused by Magnaporthe grisea (Hebert) Barr. (anamorph, Pyricularia grisea Sacc.), is one of the most economically devastating crop diseases. Management of rice blast through the breeding of blast-resistant varieties has had only limited xuccess due to the frequent breakdown of resistance under field conditions (Bonman etal., 1992; Correa-Victoria and Zeigler, 1991; Kiyosawa, 1982). The frequent variation of race in pathogen populations has been proposed as the principal mechanism involved in the loss of resistance (Ou, 1980). Although it is generally accepted that race change in M. grisea occurs in nature, the degree of its variability has been a controversial subject. A number of studies have reported the appearance of new races at extremely high rates (Giatgong and Frederiksen, 1968; Ou and Ayad, 1968; Ou et al., 1970; Ou et al., 1971). Various potential mechanisms, including heterokaryosis (Suzuki, 1965), parasexual recombination (Genovesi and Magill, 1976), and aneuploidy (Kameswar Row et al., 1985; Ou, 1980), have been proposed to explain frequent race changes. In contrast, other studies have shown that although race change could occur, its frequency was much lower than that predicted by earlier studies (Bonman et al., 1987; Latterell and Rossi, 1986; Marchetti et al., 1976). Although questions about the frequency of race changes in M. grisea remain unanswered, the application of molecular genetic tools to study the fungus, ranging from its genes controlling host specificity to its population sturctures and dynamics, have begun to provide new insights into the potential mechanisms underlying race variation. In this review we aim to provide an overview on (a) the molecular basis of host specificity of M. grisea, (b) the population structure and dynamics of rice pathogens, and (c) the nature and mechanisms of genetic changes underpinning virulence variation in M. grisea.

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Novel Compact Hybrid Rat-Race Couplers with Periodic Transverse Narrow Silts (주기적인 좁은 슬릿을 갖는 소형화된 하이브리드 Rat-Race 결합기)

  • Lee Chang On;Lee Jin-Taek;Kim Sang-Tae;Shin Chull-Chai
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.12
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    • pp.109-114
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    • 2004
  • In this paper, we introduce the concept of ILCTL(inductively loaded compact transmission line) that is new type of compact transmission line. ILCTL was realized by periodic narrow transverse slits working as series inductances in microstrip line. And compact hybrid rat-race couplers were designed by using the proposed ILCTL. The microstrip line hybrid rat-race coupler with silts of 8 per quarter wavelength at 1.8 GHz has reduced size of 60% as compared with conventional one and it is proved by simulation of EM solver with full-wave analysis based on MoM and measurements.

Race State Transition for Detecting Unaffected Race Conditions in Message-Passing Programs (메시지전달 프로그램의 영향받지 않은 경합조건 탐지를 위한 경합상태 전이기법)

  • Park Mi-Young;Kang Hyun-Syug;Jun Yong-Kee
    • Journal of KIISE:Computer Systems and Theory
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    • v.33 no.8
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    • pp.495-504
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    • 2006
  • Detecting unaffected race conditions is important to debugging message-passing programs effectively, because such a message race can affect other races to occur or not. The previous technique to detect efficiently unaffected races detects racing messages by halting at the receive event of the first race to occur in each process. However this technique does not guarantee that all of the detected races are unaffected, because halting such processes does disconnect some chain of affects-relations among those races. In this paper, we present a novel technique that manages the state of the detected race by examining if every received message is affected until the execution terminates. Our technique therefore guarantees to detect efficiently the unaffected races, because it maintains affects-relations of the races all along the execution of program.

Physiologic races of Erysiphe graminis f. sp. hordei in Korea (한국 보리흰가루병균(Erysiphe graminis. f. sp. hordei)의 레이스)

  • Woo Hong Du;Kim Ki Chung
    • Korean journal of applied entomology
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    • v.22 no.4 s.57
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    • pp.283-286
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    • 1983
  • Physiologic races of Erysiphe graminis f. sp. hordei were isolated from diseased barley plants collected from 93 locations in Korea, 1980 and 1982. Nine races, 3,8,11,19, J13, K1A, K1B, K2, and K3, were identified by using Cherewick's differential plants. Among them, races K1A, K1B, K 2, and K 3 were firstly recorded by authors in Korea. These races were mainly collected from Jeonnam and Gyeongnam province, whereas race 8 was isolated only in Buan, Jeonbug province. On the other hand, race J 13 previously reported in Japan was prevalent as $36.6\%$ of total isolated races, mostly being isolated in southern region of Korea.

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Effect of Extreme Long-Distance Running on Hepatic Metabolism and Renal Function in Middle-Aged Men

  • Shin, Kyung-A;Kim, Young-Joo
    • Biomedical Science Letters
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    • v.24 no.4
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    • pp.411-417
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    • 2018
  • The aim of this study was to investigate the impact of participation in the 622 km hyper-ultra-marathon on hepatic metabolism and renal function in middle-aged men. Healthy middle-aged male amateur ultra-marathoners between the ages of 40 and 60. Blood was collected at the pre-race, immediately after 300 km, 622 km hyper-ultra marathon race, 72 hours (3 day) and 144 hours (6 day) after the race, AST (aspartate aminotransferase), ALT (alanine aminotransferase), ALP (alkaline phosphatase), ${\gamma}$-GTP (gamma glutamyl transferase), T-Bil (total bilirubin), D-Bil (direct bilirubin), T-protein (total protein), albumin, uric acid, BUN (blood urea nitrogen), creatinne were analyzed. ALP was significantly increased at 300 km, 622 km, day 3 and day 6 than the pre-race. ${\gamma}$-GTP, T-protein, albumin, uric acid, BUN and creatinine were not significantly different between the distances and the recovery period respectively. AST and ALT were significantly increased at 300 km, 622 km, day 3 and day 6 than the pre-race, respectively (P<0.05) at day 3 and day 6 they showed significant decrease from 300 km and 622 km, respectively (P<0.05). T-Bil and D-Bil increased significantly at 300 km and 622 km, respectively (P<.05) and significantly decreased at day 3 (P<0.05) compared to the pre-race, at day 3 and day 6 they were decreased significantly than 300 km and 622 km, respectively (P<0.05). In conclusion, no disturbance of renal function was observed according to the distances and between the recovery period of 622 km hyper-ultra marathon race, but reversible hepatocyte function could be degraded and some hemolysis of blood vessels was induced.

Effect of Ultramarathon on the Anterior Pituitary and Thyroid Hormones (울트라마라톤이 뇌하수체 전엽 및 갑상선 호르몬에 미치는 영향)

  • Shin, Kyung-A;Kim, Young-Joo
    • The Korean journal of sports medicine
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    • v.36 no.4
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    • pp.214-220
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    • 2018
  • Purpose: The purpose of this research is to study changes in pituitary hormone in anterior lobe and thyroid hormone before, after, and during recovery time in severe 100 km ultramarathon. Methods: Healthy middle-aged runners (age, $52.0{\pm}4.8$ years) participated in the test. Grade exercise test is done, and then blood is taken from those participants before and after completing 100 km ultramarathon at the intervals of 24 hours (1 day), 72 hours (3 days), and 120 hours (5 days) to analyze their luteinizing hormone (LH), follicle-stimulating hormone (FSH), thyroid stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), and free thyroxine (Free T4). Results: For LH, it decreased more significantly at 100 km than pre-race. However, after 1 day result increased more than that of 100 km. At 3 days, it was significantly higher than pre-race and 100 km, recovering at 5 days. In terms of FSH, it decreased at 100 km, 1 day, and 3 days more than pre-race but recovered at 5 days. TSH was higher at 1 day and 5 days compared to pre-race. T3 was only higher at 100 km than pre-race. T4 was higher till 5 days at 100 km than pre-race. Free T4 increased more significantly at 100 km than pre-race. Conclusion: In terms of severe long distance running, LH and FSH which belong to hormone from anterior lobe as well as T3, T4, and Free T4 which belong to thyroid hormone showed their variation within the standard range. However, TSH showed abnormal increase from enhanced concentration of blood after marathon becoming hyper-activation even during the recovery period.

Horse race rank prediction using learning-to-rank approaches (Learning-to-rank 기법을 활용한 서울 경마경기 순위 예측)

  • Junhyoung Chung;Donguk Shin;Seyong Hwang;Gunwoong Park
    • The Korean Journal of Applied Statistics
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    • v.37 no.2
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    • pp.239-253
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    • 2024
  • This research applies both point-wise and pair-wise learning strategies within the learning-to-rank (LTR) framework to predict horse race rankings in Seoul. Specifically, for point-wise learning, we employ a linear model and random forest. In contrast, for pair-wise learning, we utilize tools such as RankNet, and LambdaMART (XGBoost Ranker, LightGBM Ranker, and CatBoost Ranker). Furthermore, to enhance predictions, race records are standardized based on race distance, and we integrate various datasets, including race information, jockey information, horse training records, and trainer information. Our results empirically demonstrate that pair-wise learning approaches that can reflect the order information between items generally outperform point-wise learning approaches. Notably, CatBoost Ranker is the top performer. Through Shapley value analysis, we identified that the important variables for CatBoost Ranker include the performance of a horse, its previous race records, the count of its starting trainings, the total number of starting trainings, and the instances of disease diagnoses for the horse.

Detecting TOCTOU Race Condition on UNIX Kernel Based File System through Binary Analysis (바이너리 분석을 통한 UNIX 커널 기반 File System의 TOCTOU Race Condition 탐지)

  • Lee, SeokWon;Jin, Wen-Hui;Oh, Heekuck
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.4
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    • pp.701-713
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    • 2021
  • Race Condition is a vulnerability in which two or more processes input or manipulate a common resource at the same time, resulting in unintended results. This vulnerability can lead to problems such as denial of service, elevation of privilege. When a vulnerability occurs in software, the relevant information is documented, but often the cause of the vulnerability or the source code is not disclosed. In this case, analysis at the binary level is necessary to detect the vulnerability. This paper aims to detect the Time-Of-Check Time-Of-Use (TOCTOU) Race Condition vulnerability of UNIX kernel-based File System at the binary level. So far, various detection techniques of static/dynamic analysis techniques have been studied for the vulnerability. Existing vulnerability detection tools using static analysis detect through source code analysis, and there are currently few studies conducted at the binary level. In this paper, we propose a method for detecting TOCTOU Race Condition in File System based on Control Flow Graph and Call Graph through Binary Analysis Platform (BAP), a binary static analysis tool.