• Title/Summary/Keyword: livestock management

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Studies on the N , $P_2O_5$ and $K_2O$-Application in the Mixed Sward of Alfalfa-Grass III. Effect of potassium fertilization levels on dry matter and nutrition yeild of gorage in the mixed sward of alfalfa-grasses (Alfalfa-Grass 혼파초지에 대한 3요소 시비 연구 III. 가리질시료의 시용수준이 alfalfa - grass 혼파초지의 건물 및 양분수량에 미치는 영향)

  • 박근제;이필상;최기준;김영진
    • 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.

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A Study of Categorization of Farm Types and Crops for Exposure Assessment in Agriculture (농작업 유해요인 노출평가를 위한 작목 및 작업분류에 관한 연구)

  • Sin, Sojung;Kim, Hyocher;Heo, Jinyoung;Ahn, Minji;Kim, Kyungran;Kim, Kyungsu;Lee, Minji
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.29 no.4
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    • pp.500-507
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    • 2019
  • Objectives: The purpose of this study is to categorize farm types and analyze the cultivated area and labor input time for each crop over a year in order to decide farm type conducting for the hazard exposure assessment. Methods: Crops ranked within the top 45 by cultivated area in Korea were selected and 15 target crops that exposure assessment had been conducted for through the Rural Development Administration(RDA) pilot research projects were selected. Labor input time was based on data investigated through RDA research surveillance. If there was no data, data from Statistics Korea was used. Data from Statistics Korea was used for total cultivated area. Results: Crops were divided into 5 types: open field crops(Chinese cabbage, Corn, Ginger, Potato), fruits (Mandarin, Pear), green house crops(Cucumber, Lily, Oriental melon, Pumpkin, Tomato), livestock(Poultry), specialty crops(Ginseng, Oyster mushroom, Tobacco). The cultivated area for potato was the largest, and lily was the smallest among the crops. Labor input time over a year was the highest with oyster mushroom and the lowest with pear. Total labor input time by crops was the highest with mandarin and the lowest with Chinese cabbage. Conclusions: To evaluate hazard factors of farm work, it's essential that crops and tasks be classified based on the size of farmers and working hours by farm type. Therefore, the priority of management should be determined based on the cultivated area and total labor time, but the characteristics of tasks in each crop should also be considered.

The effect of feeding high fat diet to beef cattle on manure composition and gaseous emission from a feedlot pen surface

  • Gautam, Dhan Prasad;Rahman, Shafiqur;Borhan, Md Saidul;Engel, Chanda
    • Journal of Animal Science and Technology
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    • v.58 no.6
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    • pp.22.1-22.15
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    • 2016
  • Background: Dietary manipulation is a common practice to mitigate gaseous emission from livestock production facilities, and the variation of fat level in the diet has shown great influence on ruminal volatile fatty acids (VFA) and enteric methane generation. The changes in dietary fat levels influence rumen chemistry that could modify manure nutrient composition along with odor and gaseous emissions from manure management facilities. Methods: A field experiment was carried out on beef cattle feedlots to investigate the effect of four levels of dietary fat concentrations (3 to 5.5 %) on the manure composition and gaseous emissions (methane-$CH_4$, nitrous oxide-$N_2O$, carbon dioxide-$CO_2$ and hydrogen sulfide-$H_2S$) from the feedlot pen surface. The experiment was carried out over a 5-month period from June to October during North Dakota's summer-fall climatic condition. Air and manure sampling was conducted five times at a 20-30 day intervals. Results: Overall, this research indicated that fat levels in diet have no or little effect on the nutrient composition of manure and gaseous emission from the pens with cattle fed with different diet. Though significant variation of gaseous emission and manure composition were observed between different sampling periods, no effect of high fat diet was observed on manure composition and gaseous emission. Conclusions: It can be concluded that addition of fat to animal diet may not have any impact on gaseous emission and manure compositions.

Effects of the Pasture Types and the Leveling Methods of Seedbed on the Runoff , Soil Loss , Botanical Composition , Dry Matter Yield of Forage and Economical value (초지형과 파종상 정지방법이 유거수량 , 토양 유실량 , 목초의 식생구성 , 건물수량 및 경제성에 미치는 영향)

  • 이종경;임영철;윤세형;김맹중;박근제;양종성;최선식;이성철
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.18 no.1
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    • pp.55-60
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    • 1998
  • This study was conducted to investigate the effects of the pasture types and the leveling methods of winding slope land for seedbed on the runoff, soil loss, botanical composition, dry matter yield of forage and economical value at the Experimental Field of Grassland and Forage Crops Division, National Livestock Research Institute, Suweon, from 1994 to 1995. The results obtained are summarized as follows: 1. Runoff of the improved land was higher than that of the unimproved land in the top grass and bottom grass. 2. Soil loss of the improved land was higher than that of the unimproved land in the top and bottom grasses in the first year. However, it was slightly higher in the unimproved land, and all of it were greatly decreased in the second year. 3. The percentage of grasses coverage was increased with the improved land in the first year, and it was not different between the improved land and unimproved land in the second year. Also, it was slightly increased in the bottom grasses. 4. Dry matter yield of grasses was increased with improved land at the top and bottom grasses. DM yield of grasses was increased in the top grasses in the first year and bottom grasses in the second year, respectively. 5. The establishment cost of grasses was decreased with wages decrement, and the management cost was saved about 1,116,000 won per ha with improved land. The results demonstrated that although soil loss was increased by leveling methods of improved land irrespective of pasture types in the first year, it was decreased with time little by little. Also, improved land was very good for grasses coverage, dry matter(DM) yield and economical value.

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Seasonal and Regional Effects on Milk Composition of Dairy Cows in South Korea

  • Nam, Ki-Taeg;Kim, Ki-Hyun;Nam, In-Sik;Abanto, Oliver D.;Hwang, Seong-Gu
    • Journal of Animal Science and Technology
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    • v.51 no.6
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    • pp.537-542
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    • 2009
  • For a period of over 6 years, more than 160,000 milk samples were collected and analyzed to determine the influence of different seasonal temperatures and geographic regional location on milk composition in South Korea. Fat, protein, lactose, non fat milk solids (NFMS) and total solids (TS) contents were significantly higher among dairy cows milked in winter season than other seasons (p<0.05). In contrast, freezing point (FP), milk urea nitrogen (MUN) and somatic cell count (SCC) were significantly higher in summer season than other seasons (p<0.05). The average SCC in the autumn season was $358{\times}10^3$/ml, which was lower than any other seasons (p<0.05). These results may be due to the changes in temperature during different seasons. Meanwhile, milk produced by dairy cows in central region had higher fat, protein, lactose, NFMS, TS and MUN and had lower SCC compared to other regions (p<0.05). Fat, TS, FP, MUN and citric acid in northeast region were lower than other regions (p<0.05). The SCC was significantly higher in southeast region than those of other regions (p<0.05). As a result, it might be possible that the differences in feeding management in each different region may affect the milk composition. In conclusion, present results indicated that milk composition is clearly influenced by both season and regional location. Therefore, based on these results, development of different feeding systems, according to season and region is needed to produce high quality and satiable milk production.

Distribution of Indicator Bacteria in Seawater off the Coast of Jeju Island (제주도 연안 해역의 오염지표세균의 분포)

  • Roh, Heyong Jin;Lim, Yun-Jin;Kim, Ahran;Kim, Nam Eun;Kim, Youngjae;Park, Noh Back;Hwang, Jee-Youn;Kwon, Mun-Gyeong;Kim, Do-Hyung
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.51 no.4
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    • pp.450-455
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    • 2018
  • We examined correlations of the density of fish farms with the distributions of indicator bacteria (Escherichia coli, fecal streptococci) and a bacterial fish pathogen (Streptococcus parauberis) off the coastline of Jeju Island. Seawater samples were collected at four coastal sites on the Island [Aewol (control), Gujwa, Pyoseon and Daejeong] in June, August and October 2016. The indicator bacteria were generally more frequently isolated from samples taken in August when water temperatures and human activities on nearby beaches were highest. Although fish farms were least common at Daejeong, the numbers of isolated fecal indicator bacteria were highest in the seawater and effluent water collected from this site. Hence, fish farms were not likely major contributors of indicator bacteria at Daejeong. We found discrepancies between the isolated bacterial counts and the predicted bacterial copy numbers deduced from our qPCR results, indicating that this pathogen may exist in a viable but non-culturable (VBNC) state in seawater. Thus, livestock wastewater and chemical fertilizer loading off Jeju Island may negatively impact seawater quality more than the effluent released from fish farms does.

Changes of Landscape Structure for the Recent 20 Years in the Wangsuk Stream Basin of the Central Korea

  • Lee, Chang-Seok;Cho, Yong-Chan;Shin, Hyun-Chul;Lee, Seon-Mi
    • Journal of Ecology and Environment
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    • v.29 no.4
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    • pp.405-410
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    • 2006
  • Landscape changes for 20 years between 1981 and 2001 in the Wangsuk stream basin located on the central Korea were investigated on the basis of physiognomic vegetation map made from the aerial photograph interpretation and field check. Changes of landscape structure were noticeable in agricultural field and forest landscape elements. Changes in the agricultural fields due to transformation of agricultural pattern into the institutional agriculture dominated landscape change, although urbanization also contributed to such change. The former change due to change of food production structure originated from socio-economic development during this period and the latter to the overpopulation of Seoul. As energy sources for heating and cooking, fertilizer, and fodder for livestock transform from plant materials to fossil fuel, manufactured one, and grain, succession of forest escaped from direct human disturbance dominated change of landscape structure in forested land. Differently from the positive landscape change in the upper area, change in the lower area deteriorated landscape quality by increasing artificial land. It was estimated that such landscape deterioration in the Wangsuk stream basin would influence water quality of the stream. In order to realize sustainable land-use against such environmental degradation, systematic environmental management based on landscape ecological perspective such as "an eco-plan for creating riparian vegetation belt," which is under preparation by Ministry of Environment, was recommended.

Integrated Common Interface Based on RFID and Sensor Networks (RFID와 센서 네트워크 기반의 통합 공통 인터페이스)

  • Moon, Kyeung-Bo;Lee, Young-Soo;Kim, Do-Hyeon;Park, Hee-Dong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.6
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    • pp.1619-1624
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    • 2008
  • Recently, In order to provide ubiquitous service, we develop each middleware and interface for sensors networks, RFID(Radio Frequency IDentification) and GPS(Global Positioning System). We use GPS for the location-based services, RFID for identifying the distribution logistics services, sensor networks for collecting the context data such as temperature, humidity, barometric pressure. Recently, there is increasing the need of integrated interface for using these sensor elements complexly in agriculture and livestock, construction, medical applications and, etc. This paper developments a integrated common interface for supporting efficiently process of sensing data using RFID, GPS and sensor network. This interface have the filtering function, parsing function, queuing function, interface management function, access function and, etc. We present the integrated frame structure combined with the collected context data in GPS, RFID and sensor networks and, support the open interface for providing complex ubiquitous application systems. Therefore, this interface will be efficiently used the system using RFID, GPS and sensor network, and supported many ubiquitous application services.

Case of Bacterial Identification in Reproductive Organs of Holstein Dairy Cows with Endometritis or Pyometra (자궁내막염 혹은 자궁축농증 발병 젖소의 생식기 내 분포하는 세균 동정 증례)

  • Choe, Changyong;Jung, Young-Hoon;Jo, Yong-Il;Yoo, Jae-Gyu;Im, Seok-Ki;Kwon, Eung-Gi;Seong, Hwan-Hoo;Kim, Sung-Woo;Cho, Young-Moo;Kim, Chang-Woon;Kang, Dawon
    • Journal of Embryo Transfer
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    • v.30 no.3
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    • pp.257-260
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    • 2015
  • Reproductive disorders in cows cause economic loss in livestock farms. Reproductive diseases, such as follicular cyst, luteal cyst, endometritis, pyometra, and repeat breeding cause infertility. Among these diseases, endometritis and pyometra are uterine infections that are leading causes of infertility. This study was performed to investigate the causative agents of uterine diseases using bacterial culture. Bacteria were obtained from the reproductive organs (vagina, uterine cervix, and uterine horn) of dairy cow diagnosed with endometritis or pyometra, and cultured on blood agar. The colonies obtained from cultivation for 24 hours were passaged. To identify the bacteria, the colonies grown in passaged culture Gram stained and applied to an automatic biochemical microbial identification system. Escherichia coli were commonly detected in vagina, uterine cervix, and uterine horn of dairy cows diagnosed to pyometra. The cows having endometritis showed not only Escherichia coli but also Pantoea spp. and Klebsiella spp. strains. Dairy cows that were infected with Escherichia coli in uterus caused mastitis or digestive disease. These results suggest that sanitary feeding and management beforehand are needed to prevent bacterial infections.

Prediction of Water Usage in Pig Farm based on Machine Learning (기계학습을 이용한 돈사 급수량 예측방안 개발)

  • Lee, Woongsup;Ryu, Jongyeol;Ban, Tae-Won;Kim, Seong Hwan;Choi, Heechul
    • 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.