• Asian-Australasian Journal of Animal Sciences
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• 제14권5호
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• pp.597-602
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• 2001

This study was conducted to examine the relationships between the methods used to determine the number of transferable embryos collected per flush and the estimated cumulative genetic improvements in the Japanese Holstein MOET breeding population. Cumulative genetic improvements were predicted by Monte Carlo simulation using three different determination methods (MODEL 1, MODEL 2, and MODEL 3), for calculating the number of embryos collected per flush. Moreover EBVs were estimated including or ignoring coefficients of inbreeding in MME. Inbreeding coefficients were also predicted. The number of transferable embryos was determined using normal, gamma, and Poisson distributions in MODEL 1, gamma and Poisson distributions in MODEL 2, and only the Poisson distribution in MODEL 3. The fitness of MODEL 2 in relation to field data from Hokkaido Japan was the best, and the results for MODEL3 indicated that this model is unsuitable for determining the number of transferable embryos. The largest cumulative genetic improvement (3.11) in the 10th generation was predicted by MODEL 3 and the smallest (2.83) by MODEL 2. Mean coefficients of correlation between the true and estimated breeding values were 0.738, 0.729, and 0.773 in MODELS 1, 2, and 3, respectively. It is suggested that the smallest genetic improvement in MODEL 2 resulted from the smallest correlation coefficient between the true and estimated breeding values. The differences in milk, fat, and protein yields between MODELS 2 and 3 were 182.0, 7.0, and 5.6 kg, respectively, in real units when each trait was independently selected. The inbreeding coefficient was the highest (0.374) in MODEL 2 and the lowest (0.357) in MODEL 3. The effects of different methods for determining the number of transferable embryos per flush on genetic improvements and inbreeding coefficients of the simulated populations were remarkable. The effects of including coefficients of inbreeding in MME, however, were unclear.

• The Plant Pathology Journal
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• 제25권2호
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• pp.193-198
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• 2009

A full-length cDNA of OgGRP gene encoding a glycinerich cell wall protein was isolated from wild rice (Oryza grandiglumis). Deduced amino acid sequences of OgGRP are composed of 148 amino acids (16.3 kDa), and show 85.9% homology with Osgrp-2 (Oryza sativa). RT-PCR analysis showed that RNA expression of OgGRP was regulated by defense-related signaling chemicals, such as cantharidin, endothall, jasmonic acid, wounding, or yeast extract treatment. In relation to pathogen stress, the function of OgGRP was analyzed in OgGRP over-expressing Arabidopsis thaliana. Overexpression of OgGRP in Arabidopsis contributed to moderate resistance against fungal pathogen, Botrytis cinerea, by lowering disease rate and necrosis size. In the analysis of the transgenic Arabidopsis lines to check the change of gene expression profile, induction of PR1, PR5 and PDF1.2 was confirmed. The induction seemed to be caused by the interaction of ectopic expression of OgGRP with SA-and JA-dependent signaling pathways.

• Journal of Preventive Medicine and Public Health
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• 제37권4호
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• pp.306-311
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• 2004

Background : The roles of antioxidants in the placenta and genetic susceptibility to oxidant chemicals in relation to neonatal birth weight have not been elucidated. We determined whether the level of placental manganese superoxide dismutase (MnSOD) and its genetic polymorphism plays any role in oxidative stress and neonatal birth weight. Methods : We measured placental MnSOD and determined MnSOD genetic polymorphism among 108 pregnant women who were hospitalized for delivery and their singleton live births in Korea. Main outcome measurements are maternal urinary malondialdehyde (MDA) and birth weight. Results : Maternal urinary concentrations of MDA were significantly associated with neonatal birth weight (P=0.04). The enzyme level of placental MnSOD was also significantly associated with MDA concentration (P=0.04) and neonatal birth weight (p<0.01). We observed dose-response relationships between placental MnSOD and maternal urinary MDA, and neonatal birth weight after adjusting for maternal weight, height, age, and neonatal sex. After controlling for covariates, MnSOD variant genotype increased maternal urinary MDA concentrations (p<0.01) and reduced birth weight by 149 gm (P=0.08). Conclusions : This study demonstrates that the placental level of MnSOD during pregnancy significantly affects fetal growth by reducing oxidative stress, and that genetic polymorphism of MnSOD probably modulate the effects of oxidants on fetal growth.

• 대한의생명과학회지
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• 제24권3호
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• pp.221-229
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• 2018

Trichophyton rubrum is one of the well-known pathogenic fungi and causes dermatophytosis and cutaneous mycosis in human world widely. However, there are not an available sequence type (ST) classification methods and previous studies for T. rubrum until now. Therefore, currently, molecular biological tools using their DNA sequences are used for genotype identification and classification. In the present study, in order to characterize the genetic diversity and the phylogenetic relation of T. rubrum clinical isolates, five different housekeeping genes, such as actin (ACT), calmodulin (CAL), RNA polymerase II (RPB2), superoxide dismutase 2 (SOD2), and ${\beta}$-tubulin (BT2) were analyzed using by multilocus sequence typing (MLST). Also, DNA sequence analysis was performed to examine the differences between the sequences of Trichophyton strains and the identified genetic variations sequence. As a result, most of the sequences were shown to have highly matched rates in their housekeeping genes. However, genetic variations were found on three different positions of ${\beta}$-tubulin gene and were shown to have changed from $C{\rightarrow}G$ (1766), $G{\rightarrow}T$ (1876), and $C{\rightarrow}A$ (1886). To confirm the association with T. rubrum inheritance, a phylogenetic tree analysis was performed. It was classified as four clusters, but there was little significant correlation. Even so, MLST analysis is believed to be helpful for determining the genetic variations of T. rubrum in cases where there is more large-scale data accumulation. In conclusion, the present study demonstrated the first MLST analysis of T. rubrum in Korea and explored the possibility that MLST could be a useful tool for studying the epidemiology and evolution of T. rubrum through further studies.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1278-1282
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• 2003

A new interacting multiple model (IMM) method using intelligent input estimation (IIE) is proposed to track a maneuvering target. In the proposed method, the acceleration level for each sub-model is determined by IIE-the estimation of the unknown acceleration input by a fuzzy system using the relation between maneuvering filter residual and non-maneuvering one. The genetic algorithm (GA) is utilized to optimize a fuzzy system for a sub-model within a fixed range of acceleration input. Then, multiple models are composed of these fuzzy systems, which are optimized for different ranges of acceleration input. In computer simulation for an incoming ballistic missile, the tracking performance of the proposed method is compared with those of the input estimation (IE) technique and the adaptive interacting multiple model (AIMM) method.

• 유통과학연구
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• 제14권2호
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• pp.33-39
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• 2016

Purpose The purpose of this study is to investigate the impact of gender differences in DNA on consumer buying behavior both online and offline and other buying channels to find out effective sales promotion strategies of enterprises. Research design, data, and methodology - This study investigated the relation between chromosome and DNA, DNA and gene, and gene and human behavior of gender. The study shows generic characteristics have influence upon consumers' buying behavior and inclination, and examined the effects of genetic characteristics depending upon the difference of gender DNA upon consumers' buying behavior. Results - Precedent studies on genetics and ethology showed close relations between chromosome and DNA, DNA and gene, and gene and buying behavior of the gene. 'Hunting and protection', one of the genetic characteristics in men's DNA, had great influence upon the consumers' different buying behavior. Conclusion - Gender DNA difference in genetics and ethology disclosed fundamental reasons for the difference in buying behavior and inclination of men and women. It gives implications that marketing strategies of advertising and sales promotion should be made in different ways depending upon men and women.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제3권1호
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• pp.115-125
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• 1999

Simple Genetic Algorithm(SGA) proposed by J. H. Holland is a population-based optimization method based on the principle of the Darwinian natural selection. The theoretical foundations of GA are the Schema Theorem and the Building Block Hypothesis. Although GA does well in many applications as an optimization method, still it does not guarantee the convergence to a global optimum in some problems. In designing intelligent systems, specially, since there is no deterministic solution, a heuristic trial-and error procedure is usually used to determine the systems' parameters. As an alternative scheme, therefore, there is a growing interest in a co-evolutionary system, where two populations constantly interact and co-evolve. In this paper we review the existing co-evolutionary algorithms and propose co-evolutionary schemes designing intelligent systems according to the relation between the system's components.

• Asian-Australasian Journal of Animal Sciences
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• 제13권10호
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• pp.1482-1498
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• 2000

This paper reviews the meat-type chicken breeding with local breeds in China. The quality chickens are defined as purebred final products of local breeds, and semi-quality chickens as crossbreds of local breeds with specialized broiler (sire or dam) lines from western breeding organizations. The present status of the chicken production and the market in China, in comparison with the western countries, is reviewed, indicating that there is large market demand for (semi-) quality chickens in the present and future China. Breeding for (semi-) quality chickens emphasizes the sensory quality of chicken meat. The present status of breeding for (semi-) quality chickens with the local breeds is illustrated, including breeding goals and the existing breeding programs. The potential role of local breeds in breeding programs in China is discussed in relation to both providing higher quality (than commercial hybrid broilers) of chicken meat for the local market and meeting the objectives of genetic resource conservation. Besides, further research topics on breeding for (semi-) quality chickens are suggested.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1500-1504
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• 2005

This paper proposes the design methodology of genetic algorithm (GA)-based fuzzy Kalman filter for tracking the maneuvering target. The performance of the standard Kalman Filter (SKF) has been degraded because mismatches between the modeled target dynamics and the actual target dynamics. To solve this problem, we use the method to estimate the increment of acceleration by a fuzzy system using the relation between maneuver filter residual and non-maneuvering one. To optimize the fuzzy system, a genetic algorithm (GA) is utilized and this is then tuned by the fuzzy logic correction. Finally, the tracking performance of the proposed method has been compared with those of the input estimation (IE) technique and the intelligent input estimation (IIE) through computer simulations.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
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• pp.425-428
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• 2006

In this paper, we propose an interacting multiple model (IMM) method using intelligent tracking filter with fuzzy gain to reduce tracking errors for maneuvering targets. In the proposed filter, to exactly estimate for each sub-model, we propose the fuzzy gain based on the relation between the filter residual and its variation. To optimize each fuzzy system, we utilize the genetic algorithm (GA). Finally, the tracking performance of the proposed method is compared with those of the adaptive interacting multiple model (AIMM) method and input estimation (IE) method through computer simulations.