• Korean Journal of Agricultural Science
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• v.38 no.3
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• pp.437-444
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• 2011

The object of this experiment was to investigate the food habits of sika deer fed with various roughage sources. The experimental trials were conducted at Unbong Animal Genetic Resources Station in 2008. The experimental roughages include five sources and 25 species in all; grasses and legumes: 5 species (mixed grasses, orchardgrass, tall fescue, alfalfa, white clover), native grasses and weeds: 5 species (mixed native grasses, Miscanthus sinensis Anderss, Arundinella hirta (Thunb.) Tanaka, barnyard grass, short awn, forage crops (hay, silages and straw): 5 species (barley + hairy vetch, Wheat + hairy vetch, rye silage, barley silage, baled rice straw), browse and fallen leaves: 5 species (mixed browse, oriental white oak, Quercus serrta Thunb., oriental cherry fallen leaves, Japanese chestnut fallen leaves), and imported hays and straws: 5 species (timothy hay, tall fescue straw, annual ryegrass straw, klinegrass hay, alfalfa hay). Five sika deer were used as experimental animals and the averaged body weight was 95+5.4kg. The chemical composition and dry matter digestibility of each roughage source and species were significantly different at the sampling area, plant species, growth stages and cutting period(p<0.05). The sika deer ate more roughages which had low fibrous contents, but high dry matter digestibility. Among all the 25 species of roughages, the favorite intake roughage sources ranking by sika deer was observed like this: browse and fallen leaves (32.2%), grass and legumes (27.0%), native grasses and weeds (22.0%), imported hays (12.9%) and forages crops (5.5%) respectively. Although, the sika deer ate more browse leaves, but ate more roughage which had low fibrous contents (NDF and ADF), but high drymatter digestibility. On the other hand, compared to each roughage source, total intake amount by sika deer was showed as browse and fallen leaves (32.2%). Based on the result, the food habit of sika deer seems to be closer to the typical browser.

• Asian-Australasian Journal of Animal Sciences
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• v.31 no.1
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• pp.3-12
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• 2018

Objective: DNA methylation plays a major role in regulating the expression of genes related to traits of economic interest (e.g., weight gain) in livestock animals. This study characterized and investigated the functional inferences of genome-wide DNA methylome in the loin (longissimus dorsi) muscle (LDM) of swine. Methods: A total of 8.99 Gb methylated DNA immunoprecipitation sequence data were obtained from LDM samples of eight Duroc pigs (four pairs of littermates). The reference pig genome was annotated with 78.5% of the raw reads. A total of 33,506 putative methylated regions (PMR) were identified from methylated regions that overlapped at least two samples. Results: Of these, only 3.1% were commonly observed in all eight samples. DNA methylation patterns between two littermates were as diverse as between unrelated individuals (p = 0.47), indicating that maternal genetic effects have little influence on the variation in DNA methylation of porcine LDM. The highest density of PMR was observed on chromosome 10. A major proportion (47.7%) of PMR was present in the repeat regions, followed by introns (21.5%). The highest conservation of PMR was found in CpG islands (12.1%). These results show an important role for DNA methylation in species- and tissue-specific regulation of gene expression. PMR were also significantly related to muscular cell development, cell-cell communication, cellular integrity and transport, and nutrient metabolism. Conclusion: This study indicated the biased distribution and functional role of DNA methylation in gene expression of porcine LDM. DNA methylation was related to cell development, cell-cell communication, cellular integrity and transport, and nutrient metabolism (e.g., insulin signaling pathways). Nutritional and environmental management may have a significant impact on the variation in DNA methylation of porcine LDM.

• Journal of Animal Science and Technology
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• v.56 no.2
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• pp.5.1-5.5
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• 2014

The objectives of this study were thus to identify most significant factors that determine milk component yield (MCY) using a meta-analysis and, if possible, to develop equations to predict MCY using variables that can be easily measured in the field. A literature database was constructed based on the research articles published in the Journal of Dairy Science from Oct., 2007 till May, 2010. The database consisted of a total of 442 observed means for MCY from 118 studies. The candidate factors that determine MCY were those which can be routinely measured in the field (e.g. DMI, BW, dietary forage content, chemical composition of diets). Using a simple linear regression, the best equations for predicting milk fat yield(MFY) and milk protein yield (MPY) were $MFY=0.351({\pm}0.068)+0.038({\pm}0.003)$ DMI ($R^2=0.27$), and $MPY=0.552({\pm}0.071)+0.031({\pm}0.002)DMI-0.004({\pm}0.001)$ FpDM (%, forage as a percentage of dietary DM) ($R^2=0.38$), respectively. The best equation for predicting milk fat content (%) explained only 12% of variations in milk fat content, and none of a single variable can explain more than 5% of variations in milk protein content. We concluded that among the tested variables, DMI was the only significant factor that affects MFY and both DMI and FpDM significantly affect MPY. However, predictability of linear equations was relatively low. Further studies are needed to identify other variables that can predict milk component yield more accurately.

• Korean Journal of Agricultural Science
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• v.37 no.2
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• pp.245-248
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• 2010

This study was conducted to investigate effect of changes in target fat and protein contents in milk on feed cost using a simulation modeling approach based on the 2001 dairy NRC. Two simulations were done; simulation I had a limitation (up to 20%), but simulation II had no limitation for the use of cottonseed hull in a diet. Using commonly used feed ingredients in Korea, we formulated least cost diets that meet nutrient requirement of a lactating dairy cow producing 36 kg of milk with combinations of 0.1% decrease or 0.1% increase in target milk fat or protein, respectively, from the national average milk fat (4.0%) and milk protein (3.1%). The contents of alfalfa and corn in a least-cost diet were decreased and those of tall fescue, whole cottonseed and rapeseed meal were increased with decreasing fat and/or increasing protein in milk. Scenarios that decreased target milk fat percentage from 4.0% to 3.9% reduced feed cost by 2 won per kg. Due to decrease in feed intake, daily feed cost was even more reduced (136 won per head) by decreasing target milk fat percentage. Increase in target milk protein percentage from 3.1% to 3.2% reduced feed cost by 6 won per kg. Among scenarios simulated, the least feed cost was obtained in scenario aimed for 3.9% fat and 3.2% of protein in milk. We conclude that a feeding practice for increasing milk protein percentage does not directly increase feed cost. In addition, feeding practices that increase protein content in milk is expected to improve economic life-span and reproductive performance of dairy cows.

• Journal of Drive and Control
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• v.20 no.2
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• pp.15-23
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• 2023

In this study, two-dimensional location of crops for auto weeding was detected using deep learning. To construct a dataset for soybean detection, an image-capturing system was developed using a mono camera and single-board computer and the system was mounted on a weeding robot to collect soybean images. A dataset was constructed by extracting RoI (region of interest) from the raw image and each sample was labeled with soybean and the background for classification learning. The deep learning model consisted of four convolutional layers and was trained with a weakly supervised learning method that can provide object localization only using image-level labeling. Localization of the soybean area can be visualized via CAM and the two-dimensional position of the soybean was estimated by clustering the pixels associated with the soybean area and transforming the pixel coordinates to world coordinates. The actual position, which is determined manually as pixel coordinates in the image was evaluated and performances were 6.6(X-axis), 5.1(Y-axis) and 1.2(X-axis), 2.2(Y-axis) for MSE and RMSE about world coordinates, respectively. From the results, we confirmed that the center position of the soybean area derived through deep learning was sufficient for use in automatic weeding systems.

• Journal of Biosystems Engineering
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• v.37 no.4
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• pp.258-264
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• 2012

Purpose: This review aims at introducing 3 modeling approaches classified into 3 categories based on the purpose (estimation or prediction), structure (linear or non-linear) and phase (steady-state or dynamic-state); 1) statistical approaches, 2) kinetic modeling and 3) mechanistic modeling. We hope that this review can be a useful guide in the model-based approach of calcium metabolism as well as illustrates an application of engineering tools in studying biosystems. Background: The meaning of biosystems has been expanded, including agricultural/food system as well as biological systems like genes, cells and metabolisms. This expansion has required a useful tool for assessing the biosystems and modeling has arisen as a method that satisfies the current inquiry. To suit for the flow of the era, examining the system which is a little bit far from the traditional biosystems may be interesting issue, which can enlarge our insights and provide new ideas for prospective biosystem-researches. Herein, calcium metabolic models reviewed as an example of application of modeling approaches into the biosystems. Review: Calcium is an essential nutrient widely involved in animal and human metabolism including bone mineralization and signaling pathways. For this reason, the calcium metabolic system has been studied in various research fields of academia and industries. To study calcium metabolism, model-based system analyses have been utilized according to the purpose, subject characteristics, metabolic sites of interest, and experimental design. Either individual metabolic pathways or a whole homeostasis has been modeled in a number of studies.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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• pp.27-38
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• 2007

This study, a sub-one of comprehensive research work titled under "A Evaluation System of Amenity / Disamenity Elements in Rural Villages", tried to propose a rational methodology for development of rating tabulation for evaluation of amenity / disamenity elements in rural villages. The system developed in the study has the formalized rating grades between 2 and 5 for convenience/simplification of analysis work. For each evaluation element in the lowest order of the system, 5 types of rating technique were arranged, which were based on statistical analysis using mean and standard deviation values, its existence or not, relative significance of its holding volume and quality, synthesized weight scale of its quality and quantity, and the others. And, standardized 4-steps procedure for rating tabulation was proposed. Finally, through case studies of 4 sample villages representing the flat-plain, upland, seashore and periurban rural areas, the applicability of this rating tabulation system was verified.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.99-108
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• 2005

In this study, thirteen villages in Chonnam province were selected as case study sites and the spatial distribution of the facilities in the villages was examined to provide basic information fur the establishment of rural plans. According to the questionnaire survey, various problem such as environmental pollution, position, scene, management etc. was brought owing to cattle shed, and dissension was more or less seen by scale of facilities, management of facilities and waste, regional factor(stock farming management condition, life style and attitude of inhabitants) and topographical factor (height, position physical aspect of a mountain, distance with water resources etc.) etc.. The facilities could be classified into 6 types based on the their spatial locations: 1) Type 1, facilities located at the waterside; 2) Type 2, facilities located at the entrance of village; 3) Type 3 facilities, scattered in the residential area: 4) Type 4 facilities, collectivized in village; 5) Type 5 facilities, adjoining village; and 6) Type 6 facilities, scattered irregularly inside and outside of village. Based on the classification, possible implementations for the reduction of environmental impacts were suggested. The results of this study could be used as an example of study on the distribution, classification, and rearrangement of environment-impacting facilities in rural areas for improvement of their roles in providing amenity resources.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.17-24
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• 2005

The sustainable development of local communities is faced with limitation due to poor infrastructure and lack of cooperation among stake-holders. To overcome such circumstances and thus to ensure balanced development of the local communities, the central government is driving construction of innovative cities mainly through transfer of public institutions to local cities. In this study, to contribute to the development of plans for the future agropolis' associated with the transfer of public institutions, efficient organization mechanisms of the agropolis such as basic structure and spatial allocation was examined through analyses of advanced cases(Sophia Antipolis, St. Hyacinthe Science Part Food Valley, Stoneleigh Park) of foreign countries. The analyses showed that the organization of agropolis were consisted of three main components; 1) agricultural and food industry complex conducting R&D, 2) service facilities(information, trade, consulting and advertisement) supporting agricultural and food industries and rural enterprise center in charge of a variety of events including exhibition, rural experience, education, and contest, 3) silver facilities such as hospital and town providing medical service and residence. Based on the results, inventories of facilities which are necessary in 'the future agropolis' and their spatial allocation were suggested.

• Journal of Microbiology and Biotechnology
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• v.26 no.3
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• pp.477-482
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• 2016

A uridine diphosphate-glucose:sterol glycosyltransferase-encoding gene was isolated and cloned from the established fosmid library of Micromonospora rhodorangea ATCC 27932 that usually produces the aminoglycoside antibiotic geneticin. The gene consists of 1,185 base pairs and encodes a 41.4 kDa protein, which was heterologously expressed in Escherichia coli BL21(DE3). In silico analyses of the deduced gene product suggested that it is a member of the family 1 glycosyltransferases. The recombinant protein MrSGT was able to catalyze the transfer of a glucosyl moiety onto the C-3 hydroxy function in sterols (β-sitosterol, campesterol, and cholesterol), resulting in the corresponding steryl glucosides (β-sitosterol-3-O-β-ᴅ-glucoside, campesterol-3-O-β-ᴅ-glucoside, and cholesterol-3-O-β-ᴅ-glucoside). This enzyme prefers phytosterols to cholesterol, and also shows substrate flexibility to some extent, in that it could recognize a number of acceptor substrates.