• Korean Journal of Organic Agriculture
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• v.12 no.2
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• pp.219-230
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• 2004

In recent years, the consumption of livestock products were markedly decreased by awareness of world-widely occurred diseases including mad cow disease, Foot and mouth disease, Hog cholera, and Poultry Influenza virus. the consumers ara also wanting to have highly safe food such as organic animal products because of concerning about residual of antibiotics in animal products. However, disease control and impairment of productivity are the major problem in organic animal production. On these points of view, the present study was undertaken to investigate the effects of 1% or 2% of dietary probiotics fortified with various minerals on improvement of egg production and egg quality in old lay6r feeding low quality feed mainly composed of food waste, sesame meal, and rice bran. After 4 weeks of experimental feeding, the diameter of spreading of egg white was clearly decreased from 11.2cm of control eggs to 10.5m and 10.1m in 1% and 2% treatment group eggs, respectively. The color of egg yolk was 9.3 in control eggs but remarkably increased in treatment groups showing 10.1~10.2. Egg production was 75.8% in control layers but significantly increased to 79.8% of 1% treatment group and 82.9% of 2% treatment group layers. Egg weights (C : 66.3g, 1% : 73.2g, and 2% : 76.7g) and egg shell thickness (C : 0.33mm, 1% : 0.35mm and 2% : 0.36mm) were also increased by the addition of 1% or 2% of probiotics when compared to those of control group eggs. All together, it has been suggested that dietary addition of probiotics fortified with various minerals can improve the egg quality and egg production in layer's productivities by the recycling of organic waste resources such as food waste and agricultural by-products.

• Journal of The Korean Society of Grassland and Forage Science
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• v.16 no.2
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• pp.121-126
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• 1996

To investigate the effects of potassium($K_2O$) fertilization levels on the dry matter(DM) yield, nutrition yield, and $K_2O$ efficiency of forages in mixed sward of alfalfa-grasses, a field experiment arranged by randomized complete block design with five treatments(0, 60, 120, 180 and 240kg $K_2O$/ha) was conducted at National Livestock Research Institute in Suwon, September, 1990 to February, 1993. During two years, average DM yields of forage increased as $K_2O$ fertilization level was increased, but no significant difference was found between DM 10,617kg of $K_2O$180kgha and DM 10,845kg of $K_2O$ 240kg/ha. Crude protein and energy productivity of forages increased as $K_2O$ fertilization level was increased, and the increasing degree was highest between $K_2O$ 120kg and 180kg/ha fertilization. With increasing $K_2O$ fertilization, mineral contents tended to increase in K and WCa+Mg equivalent ratios, to decrease in Mg, but not to be regular in the other elements. Efficiency of $K_2O$ was relatively high at $K_2O$ 180kgha fertilization, which produced DM 12.2kg, net energy lactation 67.3M.J, starch equivalent 6.2kStE and total digestible nutrients 7.6kg per Ikg $K_2O$. Therefore, potassium($K_2O$) fertilization levels must be applied with I8Okg/ha for a reasonable management in mixed sward of alfalfa-grasses.

• Journal of The Korean Society of Grassland and Forage Science
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• v.7 no.2
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• pp.103-108
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• 1987

The experiment was carried out to determine the optimum application rate of liquid waste from methane fermentation (LW) and its effect on botanical composition, dry matter yields and nutrient quality of pasture mixtures. Experimental fields was designed as a randomized block treated with NPK chemical fertilizer (NPK = 28-20-24 kg/lOa), NPK + Water 28 ton, 112 NPK + LW 28 ton, 112 NPK + LW 42 ton, LW 28 ton, LW 42 ton and LW 56 ton/lOa at Livestock Experiment Station in Suweon, 1985. The results obtained are summarized as follows: 1. Vegetation of introduced pastures, both in grasses and legumes, was markedly increased in the plots treated with methane-liquid waste. However, heavy application of liquid waste tended to increase of native weeds such as Polygronum spp., Rumex spp. and Lactuca spp. 2. Crude protein contents was increased in the plants applied with liquid waste, but NFE was decreased compared with those of chemical fertilizer applied. The concentrations of crude fat and crude fibre were, however less affected by the fertilizer resource. Among cell-wall constituents, cellulose content was decreased as the liquid waste application rate increased, while hemicellulose showed a negative association. 3. Productivity of the pasture was increased as the liquid waste application rate increased. The highest dry matter yields was obtained in the plot treated with LW 42 ton/lOa by 71 1 kg/lOa, which shows about 71% increments compared with those of chemical fertilizer treated. Net energy yields, both in starch value and NEL, were also markedly increased under liquid waste application. As a results, the optimum application rate of methane-liquid waste was found to be 42 ton in 10 a.

• Agribusiness and Information Management
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• v.4 no.2
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• pp.42-49
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• 2012

This study introduces cases of individual feeding systems for sow and the sow sorters which are the subparts of an eco-friendly feeding and management system based on a u-IT program using the hog feeding and management information system. The purpose of this study is to conduct an analysis of economic feasibility on cases of the improvement of the system using the u-IT and to provide information on the positive effects of an introduction of an eco-friendly pigsty and hog feeding and management system to hog raisers and government officials. The literature review and background section examine the effects of the introduction of u-IT technology into the field of livestock raising, hog feeding and management information system, and the eco-friendly feeding and management system based on the u-IT. This paper will present the results of the analysis on the effects and the economic feasibility of the individual feeding system for sow and the sow sorter utilizing the u-IT technology and information systems. The results of this study will contribute to the sustainable development of the hog raising industry by showing that the new feeding and management system utilizing the u-IT can not only increase the efficiency and productivity of farm management but also contribute to efficient, eco-friendly hog feeding and management.

• Journal of The Korean Society of Grassland and Forage Science
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• v.21 no.3
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• pp.163-168
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• 2001

"Hwasan 103" is a new cold-tolerant Italian ryegrass(Lo1ium multiflorum L.) variety developed by theNational Livestock Research Institute(NLR1) in 1999. To develop a cold-tolerant variety of Italianryegrass(Lo1ium multiflorum L.), cold-tolerant clones survived under - 13 - - 14$^{\circ}$C of minimum average airtemperature(MAAT) in January were selected at Hwachun, Kwangwon Province in 1995. Five clones ofselected clones were polycrossed for seed production by NLRI, RDA in 1996."Hwasan 103" was diploid variety, green in leaf color and broad in flag leaf width. Also it hassemi-prostrate and medium growth habit in late autumn and in early spring, respectively. "Hwasan 103" wasexcellent in lodging tolerance at harvesting time. First heading date of "Hwasan 103" was 14th May, it wassimilar to that of Marshall. Expecially, "Hwasan 103" survived about 50-70% under - 10- - 12'C ofMAAT in January, so it could be cold-tolerant variety that can be safely cultivated in regions higher than -9$^{\circ}$C of MAAT in January. Compared with Marshall "Hwasan 103" showed 3% higher fresh yield (57.8MTper ha) and it showed 2% higher dry matter yield (11.OMT per ha). Higher IVDMD and TDN and lowerADF and NDF were observed in "Hwasan 103" than those of Florida 80 and Marshall in Forage quality.(Key words : Italian ryegrass, Cold tolerance, New variety "Hwasan 103")all in Forage quality.(Key words : Italian ryegrass, Cold tolerance, New variety "Hwasan 103")n 103&")ot;)

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1560-1566
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• 2017

Recently, accumulation of data on pig farm is enabled through the wide spread of smart pig farm equipped with Internet-of-Things based sensors, and various machine learning algorithms are applied on the data in order to improve the productivity of pig farm. Herein, multiple machine learning schemes are used to predict the water usage in pig farm which is known to be one of the most important element in pig farm management. Especially, regression algorithms, which are linear regression, regression tree and AdaBoost regression, and classification algorithms which are logistic classification, decision tree and support vector machine, are applied to derive a prediction scheme which forecast the water usage based on the temperature and humidity of pig farm. Through performance evaluation, we find that the water usage can be predicted with high accuracy. The proposed scheme can be used to detect the malfunction of water system which prevents the death of pigs and reduces the loss of pig farm.

• Korean Journal of Organic Agriculture
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• v.22 no.4
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• pp.825-839
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• 2014

Antioxidant activity is important for reducing oxidative stress that causes various metabolic disorders. Metabolic disorders are highly related to loss of productivity in livestock. Therefore, development of effective antioxidant compounds originating from plants is important for organic agriculture. Phenolic compounds in edible plants are regarded as major components relevant to antioxidant activity. The present study investigated the changes in antioxidant activity and phenolic compound profiles of Aronia (Aronia meloncarpa) by fermentation using different strains of Leuconostoc mesenteroides. A total of 5 strains of L. mesenteroides were used as starter cultures and their ${\beta}$-glucosidase activities were measured. A total of 6 experiment runs were prepared, one for control (uninoculated) and the others (inoculated) for treatments. For biological activity, antioxidant and antibacterial activities were measured. For phenolic compound profiling, TLC and HPLC analysis were performed. The strains of KACC12313 and KACC12315 showed greater enzyme activity than others. Treatment with KCCM35046 showed strong and broad antibacterial activity against to Listeria monocytogenes. Treatments with KCCM35046 and KACC12315 showed the highest total polyphenol content. The highest antioxidant activity was found in KACC12315 treatment. No remarkable alteration was found in thin layer chromatography (TLC) analysis. In phenolic compound profiling analysis, KCCM35046 showed notable alteration in compound area ratio compared to others and also showed the highest caffeic acid content. In chlorogenic acid, treatments with KCCM35046 and KACC12315 showed great content than others. Treatment with KACC12315 showed the greatest content of trans-ferulic acid. As a result of relative performance indexing analysis, L. mesenteroides KCCM35046 and KACC12315 were selected as the best strain for the fermentation of Aronia.

• The Journal of Korean Institute of Information Technology
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• v.16 no.12
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• pp.127-137
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• 2018

Parturition is an important event for farmers as it provides economic gains for the farms. Thus, the effective management of parturition is essential to farm management. In particular, the unit price of cattle is higher than other livestock and the productivity of cattle is closely associated to farm income. In addition, 42% of calving occurs in the nighttime so accurate parturition predictions are all the more important. In this paper, we propose a method that accurately predicts the calving date by applying core body temperature of cattle to deep learning. The body temperature of cattle can be measured without being influenced by the ambient environment by applying an ingestible bio-sensor in the cattle's rumen. By experiment on cattle, we confirmed this method to be more accurate for predicting calving dates than existing parturition prediction methods, showing an average of 3 hour 40 minute error. This proposed method is expected to reduce the economic damages of farms by accurately predicting calving times and assisting in successful parturitions.

• Journal of The Korean Society of Agricultural Engineers
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• v.61 no.5
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• pp.101-108
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• 2019

The domestic duck industry is the sixth-largest among the livestock industries. However, 34.3% of duck houses were the duck houses arbitrarily converted from plastic greenhouses. This type of duck house was difficult to properly manage internal air temperature and humidity environment. Humidity environment inside duck houses is an important factor that directly affects the productivity and disease occurrence of the duck. Although the humidity environments of litters (bedding materials) affect directly the inside environment of duck houses, there are only few studies related to humidity environment of litters. In this study, evaporation rates from litters were evaluated according to air temperature, relative humidity, water contents of litters, and wind speed. The experimental chamber was made to measure evaporation rates from litters. Temperature and humidity controlled chamber was utilized during the conduct of the laboratory experiments. Using the measured data, a multi linear regression analysis was carried out to derive the calculation formula of evaporation rates from litters. In order to improve the accuracy of the multi linear regression model, the partial vapor pressure directly related to evaporation was also considered. Variance inflation factors of air temperature, relative humidity, partial vapor pressure, water contents of litters, and wind speed were calculated to identify multicollinearity problem. The Multiple $R^2$ and adjusted-$R^2$ of regression model were calculated at 0.76 and 0.71, respectively. Therefore, the regression models were developed in this study can be used to estimate evaporation rates from the litter of duck houses.

• Animal Bioscience
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• v.36 no.7
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• pp.1010-1021
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• 2023

Objective: Growth performance and growth-related traits have a crucial role in livestock due to their influence on productivity. This genome-wide association study (GWAS) in Pakistani dromedary camels was conducted to identify single nucleotide polymorphisms (SNPs) associated with growth at specific camel ages, and for selected SNPs, to investigate in detail how their effects change with increasing camel age. This is the first GWAS conducted on dromedary camels in this region. Methods: Two Pakistani breeds, Marecha and Lassi, were selected for this study. A genotyping-by-sequencing method was used, and a total of 65,644 SNPs were identified. For GWAS, weight records data with several body weight traits, namely, birthweight, weaning weight, and weights of camels at 1, 2, 4, and 6 years of age were analysed by using model-based growth curve analysis. Age-specific weight data were analysed with a linear mixed model that included fixed effects of SNP genotype as well as sex. Results: Based on the q-value method for false discovery control, for Marecha camels, five SNPs at q<0.01 and 96 at q<0.05 were significantly associated with the weight traits considered, while three (q<0.01) and seven (q<0.05) SNP associations were identified for Lassi camels. Several candidate genes harbouring these SNP were discovered. Conclusion: These results will help to better understand the genetic architecture of growth including how these genes are expressed at different phases of their life. This will serve to lay the foundations for applied breeding programs of camels by allowing the genetic selection of superior animals.