• Asian-Australasian Journal of Animal Sciences
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• v.30 no.10
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• pp.1507-1514
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• 2017

Objective: The Bashang Long-tail chicken (BS), an indigenous Chinese breed, is considered cold tolerant. We selected BS, the Rhode Island Red (RIR), and their reciprocal crossbreds for the present study. The objectives were: i) to validate whether BS is cold tolerant and whether egg production and cold tolerance of crossbreds could be improved; and ii) to determine the physiological characteristics that underlie cold tolerance and favorable egg production performance in cold environments. Methods: A total of 916 chickens were reared in warm and natural cold environments (daily mean ambient temperature varied from $7.4^{\circ}C$ to $26.5^{\circ}C$ in the warm environment and from $-17.5^{\circ}C$ to $27.0^{\circ}C$ in the cold environment). To investigate their adaptability to the cold environment, the egg production performance and body weight were monitored and compared between breeds and environments. The cloacal temperature and serum biochemical parameters were monitored to reveal the physiological characteristics underlie cold tolerance and favorable egg production performance in the cold environment. Results: The warm environment experiment showed that RIR had the highest egg production performance, and that the reciprocal crossbreds had a higher egg production performance than BS. While in the cold environment RIR had the lowest egg production performance, and the reciprocal crossbreds had a higher egg production performance than BS. In the cold environment BS and reciprocal crossbreds had higher triiodothyronine, tetraiodothyronine levels than RIR. At 35 and 39 wk of age, when the ambient temperature was extremely low (varied from $-20^{\circ}C$ to $0^{\circ}C$), serum glucose, follicle-stimulating hormone, luteinizing hormone, estradiol of BS and crossbreds were higher than RIR. Conclusion: Bashang Long-tail chicken has a favorable cold tolerance ability. Crossbreeding with RIR and BS is an effective way to develop cold tolerant chickens with improved egg production performance.

• Proceedings of the Korean Society of Crop Science Conference
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• 2004.04a
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• pp.70-71
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• 2004

• Journal of Ecology and Environment
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• v.29 no.1
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• pp.69-74
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• 2006

The captive breeding biology of the Oriental white stork (Ciconia boyciana) was studied over 3 breeding periods. Both the male and female participated in nest building, but the male started to build the nest earlier and spent much time. Time used to build the nest was steadily increased to the egg laying. The copulations were observed $30{\pm}10.53$ (n=3) times in a breeding period. Both male and female incubated their eggs but the female spent more time than the male did. The chicks were hatched $32{\pm}1.29$ (n=6) days after egg laying. Not only the male but also the female took part in the rearing chicks. The male spent more time than the female as chicks grew. The results of this study are useful to assess the ecological soundness of the breeding pair and facilitate the breeding environment in captive breeding of the Oriental white stork.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.1
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• pp.13-17
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• 2004

The aim of this study was to investigate genetic development and genotype${\times}$environment interactions (GEI) in postweaning body weight of fattening bulls at the end of test period (WT-T) under various beef fattening environments. Data on a total of 24,247 fattening bulls obtained from the industrial farm, breeding farms and testing stations were used. Heritability estimates for WT-T in all environments were nearly similar. Significant genetic developments of sire, dam and progenies for WT-T were observed in all environments. However, many differences in annual genetic developments between the environments were significant. The genetic correlations for WT-T between industrial farm and breeding farms, industrial farm and testing stations and breeding farms and testing stations were respectively 0.004, 0.004 and 0.013. These low estimates of genetic correlations and significant differences in genetic developments among environments clearly show the existence of GEI for WT-T among various fattening environments. Results of this study indicate the need for environment-specific genetic evaluation and selection of beef bulls for commercial beef production.

• Journal of Environmental Science International
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• v.28 no.8
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• pp.645-654
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• 2019

This study was conducted in two breeding seasons in 2017 to identify nesting habits and breeding biology of barn swallows in Daejang-dong village, Bucheon city, suburban Seoul. Among the 77 barn swallow nests studied, there were 34 breeding nests -27 in the first and 12 in the second. The reuse rate of old nests was 51.6%. In addition to tile-roofed houses (20.6%), breeding nests were most common in brick houses (38.2%) and in slate-roofed houses (26.5%). Most breeding nests were in eaves (58.8%) and front doors (32.3%). The average clutch size was $4.8{\pm}0.9$ in the first and $4.3{\pm}0.5$ in the second. The breeding success rate was 75.0% in the first and 58.1% in the second, considering the hatching rate and the fledgling rate. It was found that the rainy season was affected by a lack of food. At least 27 pairs of nestling barn swallows and 127 young barn swallows successfully fledged were estimated to be 181. These results show that Daejang-dong village is an important suburban habitat of the Seoul metropolitan area, and that it can be used to verify the environmental conservation value of rice fields of in the Seoul metropolitan area.

• Proceedings of the Korean Society of Plant Biotechnology Conference
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• 2004.10a
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• pp.103-103
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• 2004

• Journal of Veterinary Clinics
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• v.20 no.1
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• pp.121-130
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• 2003

The purpose of this study was to investigate the effect of breeding conditions on reproductive efficiency of thoroughbred broodmares by ultrasonography. The mean age and breeding career of 120 mares used in this study were 11 years old and 6 years, respectively. The average pregnancy rate and embryonic loss rate were 87.5%, 11.8%. The groups that were 8-10 years old, 4-6 years, maiden and mated on May showed the highest pregnancy rate. While mares mated on 1st estrus post partus had the highest ovulation rate but showed the highest embryonic loss rate and he lowest pregnancy rate. And broodmares that had more intrauterine foreign bodies such as cyst and fluid with age and breeding career had represented lower pregnancy rate and higher embryonic loss rate than those having normal uterine condition. These results suggest that the breeding condition and uterine environment of mares had a significant influence on reproductive efficiency.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.135-141
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• 2019

In this study, the "Insect Smart Farm Air Conditioning System" is designed and proposed for the control of breeding environment of Protaetia brevitarsis seulensis larvae. The proposed "Insect Smart Farm Air Conditioning System" separates the breeding room from the air conditioning room. It is a system that creates an environment optimized for breeding and distributes it into a breeding room. When controlling the environment through air-conditioning and humidifiers in insect farms, temperature and humidity vary from part of the breeding room to part. The solution to the problem can be suggested as a solution to the difficulty of producing white-spotted flower mounds of uniform size and weight when selling edible insects. By using the "Insect Smart Farm Air Conditioning System," the temperature difference can be reduced by 6℃ and the humidity difference by 24.7% compared to the environmental control of existing insect farms. The temperature and humidity of different parts of the breeding room were improved. Provide the optimal environment of Protaetia brevitarsis seulensis larvae at all times and ensure uniform CO₂ concentration. It can be expected to increase output through annual production and increase income for insect farmers. The proposed "Insecting Smart Farm Air Conditioning System" also controls the set temperature, humidity and CO₂. Environmental control of the breeding of other edible insects and the reproduction of mushrooms that require environmental control in breeding or breeding will also be possible.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.299-300
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• 2009

• Proceedings of the Korean Society of Crop Science Conference
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• 2017.06a
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• pp.14-14
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• 2017

The discipline of plant breeding is experiencing a renaissance impacting crop improvement as a result of new technologies, however fundamental questions remain for predicting the phenotype and how the environment and genetics shape it. Inexpensive DNA sequencing, genotyping, new statistical methods, high throughput phenotyping and gene-editing are revolutionizing breeding methods and strategies for improving both quantitative and qualitative traits. Genomic selection (GS) models use genome-wide markers to predict performance for both phenotyped and non-phenotyped individuals. Aerial and ground imaging systems generate data on correlated traits such as canopy temperature and normalized difference vegetative index that can be combined with genotypes in multivariate models to further increase prediction accuracy and reduce the cost of advanced trials with limited replication in time and space. Design of a GS training population is crucial to the accuracy of prediction models and can be affected by many factors including population structure and composition. Prediction models can incorporate performance over multiple environments and assess GxE effects to identify a highly predictive subset of environments. We have developed a methodology for analyzing unbalanced datasets using genome-wide marker effects to group environments and identify outlier environments. Environmental covariates can be identified using a crop model and used in a GS model to predict GxE in unobserved environments and to predict performance in climate change scenarios. These new tools and knowledge challenge the plant breeder to ask the right questions and choose the tools that are appropriate for their crop and target traits. Contemporary plant breeding requires teams of people with expertise in genetics, phenotyping and statistics to improve efficiency and increase prediction accuracy in terms of genotypes, experimental design and environment sampling.