• Title/Summary/Keyword: Herd

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Body weight, graph of body condition score, distribution of milk production, and use or metabolic profiles test for dairy herd health management (우군 건강관리를 위한 체중측정, 체형 그래프 산유량 분포도, 대사프로필 검색의 활용)

  • 김홍집;은길수;강병선;이재규;김정한;송희종
    • Korean Journal of Veterinary Service
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    • v.24 no.3
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    • pp.279-285
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    • 2001
  • The change of the body condition score(BCS) and milk production graph as days in milk by lactation number show that the productivity of cow is on the increase as increase the lactation number, but the health condition is much worse because of the inappropriate nutrition intake. Metabolic profiles test(MPT) results indicate that the early-lactation for directly after the parturition to the peak production of milk during the total lactation period is the time of the more likely to be exposed to lack of energy, protein, minerals. To solve this problem, the early-lactation cows should be sufficiently supplied the required nutrients and should maximum intake the supplied nutrients not to be suddenly decline body weight and BCS from postparturition to the peak production of milk. To maximize the dry matter intake of a cow, there is have got to improve the management of body weight for heifer's skeletal development and in the dry period which is carelessly deal by mostly farms. This study presents that the use of measurement of body weight, graph of body condition score, distribution of milk production, metabolic profiles test in the monitoring for dairy herd health management is very valuable.

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Herd Management and Control of Dairy Cows by Milk Components in Gyeong-nam (경남지역 유우의 산유능력 검정)

  • You, Yong-sang;Kim Tae-yung;Kim Cheol-ho;Kang Chung-boo
    • Journal of Veterinary Clinics
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    • v.21 no.4
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    • pp.355-362
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    • 2004
  • The purpose of this study was to herd management and control of dairy cows by milk components analysis in Gyeongsangnamdo. Milk components analysis were carried out milk yield (MY), milk fat (MF), milk protein (MP), milk urea nitrogen (MUN) and somatic cell count (SCC) but, milk solid (MS), day of non-pregnant condition (DNPC), and days of primipara (DPRI) involved in report. Dairy farms were divided high group, middle group, low group according to the standard records for milk components. Examination records were divided by farm, parity, year, season and month, the number of samples were 28,957. Feeding management practice and the prediction for the risk possibility of productive disease such as reproductive and metabolic disorders by evaluating fat, protein, solids. Determination of MY, MF, MP, MS were Milkoscan 4,000~5,000 Serier (FOSS Electric Co., Copenhagen, Denmark). Correlation coefficient of milk protein (MP) and milk solid (MS) was ascertain r=0.759. SCC was ascertain 372.8$\pm$11.34 (thousand unit) and DNPC was ascertain 155.3$\pm$5.15 (days) in seven parity.

The herd-level prevalence of antibodies against Mycobacterium avium subspecies paratuberculosis in the Gyeonggi and Chungbuk of Korea, as detected by bulk tank milk ELISA

  • Jang, Yunho;Lee, Haet-Nim;Kim, Narae;Ok, Yu Sin;Kim, Tae-woon;Jung, Suk Chan;Kim, Jae-Myung
    • Korean Journal of Veterinary Service
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    • v.39 no.4
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    • pp.227-230
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    • 2016
  • Mycobacterium avium subspecies paratuberculosis (MAP) causes Johne's disease (JD) in ruminants. This is the first large scale report to estimate the herd-level prevalence of antibodies against MAP by using an ELISA to detect antibodies in bulk tank milk (BTM) samples. The samples were collected from January 2011 to November 2011, from 636 herds of the dairy farms in the Gyeonggi and Chungbuk areas of Korea. The overall apparent prevalence of MAP antibody-positive herds was 8.5%, and regional prevalence were 32/440 (7.3%) and 22/196 (11.2%) of dairy farms in the Gyeonggi and Chungbuk areas, respectively. The results did not differ significantly by region. While we have determined the prevalence rate of MAP in the Gyenoggi and Chungbuk areas in this study, there is a continuing need for well-designed studies to calculate the prevalence of MAP in dairy herds based on culture and molecular findings.

Choosing Solitude in Turmoil, Herding in the Decentralized Finance (DeFi) Token Market: An International Perspective

  • OZCAN, Rasim;KHAN, Asad ul Islam;TURGUT, Murat;NAPARI, Ayuba
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.9
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    • pp.105-114
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    • 2022
  • Financial markets have long been known to be prone to behavioral biases. One such behavioural bias that is consequential yet pervasive in financial markets is the herd effect. The objective of this study is to determine whether or not there exist herd behaviour in the new and bourgeoning Decentralized Finance (DeFi) Tokens market. This is accomplished by using daily returns of 22 DeFi tokens from January 29, 2017 to August 19, 2021, and the Cross-sectional Absolute Deviation (CSAD) of market returns to capture herd behavior. The results fail to provide any evidence of herding in the DeFi token market on bullish days, that is days for which the average market returns is positive. For bearish days however, that is days for which the market returns is negative, our empirical findings point to the presence of adverse herding in the DeFi token market. This phenomenon can be explained to some extent by the investor composition of the DeFi market. The DeFi token space is a growth market dominated by experts and/or enthusiasts who are insulated against the temptation and panic of negative market swings by the level of market and technical information they possess on the assets they invest.

Estimation of the soil liquefaction potential through the Krill Herd algorithm

  • Yetis Bulent Sonmezer;Ersin Korkmaz
    • Geomechanics and Engineering
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    • v.33 no.5
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    • pp.487-506
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    • 2023
  • Looking from the past to the present, the earthquakes can be said to be type of disaster with most casualties among natural disasters. Soil liquefaction, which occurs under repeated loads such as earthquakes, plays a major role in these casualties. In this study, analytical equation models were developed to predict the probability of occurrence of soil liquefaction. In this context, the parameters effective in liquefaction were determined out of 170 data sets taken from the real field conditions of past earthquakes, using WEKA decision tree. Linear, Exponential, Power and Quadratic models have been developed based on the identified earthquake and ground parameters using Krill Herd algorithm. The Exponential model, among the models including the magnitude of the earthquake, fine grain ratio, effective stress, standard penetration test impact number and maximum ground acceleration parameters, gave the most successful results in predicting the fields with and without the occurrence of liquefaction. This proposed model enables the researchers to predict the liquefaction potential of the soil in advance according to different earthquake scenarios. In this context, measures can be realized in regions with the high potential of liquefaction and these measures can significantly reduce the casualties in the event of a new earthquake.

Partial Budget Modeling of Economic Losses of Aujeszky's Disease (부분예산분석을 이용한 오제스키병 발생 농가의 경제적 손실 추정)

  • Pak, Son-Il;Park, Choi-Kyu;Moon, Oun-Kyong;Yoon, Hachung;Lee, Byeong-Yong;Lee, Sang-Jin
    • Korean Journal of Veterinary Research
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    • v.49 no.4
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    • pp.329-334
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    • 2009
  • Aujeszky's disease (AD) is a respiratory, infectious viral illness associated with high mortality, especially in neonatal piglets and has frequently been considered an economically important disease in many endemic countries. Although AD is still occurring in a geographically defined region in Korea, little attention has been paid to the economics of AD. In this study, partial budget technique was used to develop a simulation model to measure financial losses following the disease epidemic in a swine operation utilizing stochastic or deterministic parameters from the literatures and the index case herd of AD occurred in 2005, where available and applicable. For the infected case herd with a 12500-pig, the total economic loss for this operation was estimated to be about 199 million Korean won (95% confidence interval [CI] 148,645,000-250,741,000). Given net loss due to death of a pig at sow level was 119,000 won, total loss for the case herd with 1200 sows accounted for 143 million won (95% CI 92,599,000-193,729,000). The net loss of the death of one pig at growing and fattening level resulted in loss of 46,000 won (95% CI 40,000-53,000) and 126,000 won (95% CI 122,000-131,000), respectively. Taking into account for the number of pigs raised in the case herd, total loss amounted to 8 million won (95% CI 7,167,000-9,347,000) and 12 million won (95% CI 11,959,000-12,891,000), for growers and fatteners, respectively, assuming 63% of saved feed intake when a pig dies halfway through the respective period. Under the model's assumptions, suckling pig mortality was the major factors of loss in estimating the economic consequences (approximately 71.8% of the total loss). The high economic losses of a herd infected with AD suggest that the effective and region-specific control measures should be implemented in disease endemic foci.

A Study on Participation Intention and Herd Behavior on Domestic Securities Type Crowdfunding Investors: Focusing on the Theory of Planned Behavior (국내 증권형 크라우드펀딩 투자자의 참여의도와 무리행동에 관한 연구: 계획된 행동이론을 중심으로)

  • Hwang, Nakjin;Lee, So-young
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.1-18
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    • 2020
  • This study is to identify the influence of major variables that affect the participation intention of securities type crowdfunding investors and how participation intention and perceived behavioral control affect investors' herd behavior including indirect effect analysis based on the theory of planned behavior. The ultimate purpose of this study is to understand the investment behavior of securities type crowdfunding investors and to help the relevant parties to develop various policies and business plans to revitalize the system and protect investors. An online survey was conducted on people who are interested or have experience in securities type crowdfunding to receive a total of 276 responses. Excluding outliers, a total of 261 responses were taken into account for the final analysis. For the data analysis, structural equation model analysis using SPSS 22.0 and Amos 22.0 statistical package was conducted. As a result, two of the major variables of the theory of planned behavior-attitude and subjective norm-have been found to have a positive effect on the participation intention of securities type crowdfunding investors. And after analyzing the indirect effect, the participation intention was found to play a mediating role between attitude, subjective norm and herd behavior. However, the perceived behavioral control presented as a major variable of behavioral intention in the theory of planned behavior showed that the effect on participation intention was statistically insignificant. Instead, it was found to have a direct positive effect on herd behavior. This is significant because it empirically confirmed that even if investors perceive securities type crowdfunding as easy to participate, perceived behavioral control does not seem to have a significant impact on participation intention because securities type crowdfunding is an investment in an early-stage business with a high risk of loss. On the other hand, the study has great significance in that it empirically confirmed that domestic securities type crowdfunding investors perceive the funding progress information provided by the platform as a signal and imitate many other investors, showing herd behavior when they actually make an investment. It is expected that this study will provide meaningful insights for the policy making of crowdfunding supervisory offices and platform operators by empirically identifying major variables that influence the participation intentions and herd behavior of domestic securities type crowdfunding investors.

Herd Reproductive Performance Related to Urea Nitrogen Concentration in Bulk Milk (우유내 요소태 질소 농도와 관련된 우군의 번식성)

  • 박수봉;김현섭;이명식;박진기;장원경;이정규
    • Korean Journal of Animal Reproduction
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    • v.21 no.2
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    • pp.191-195
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    • 1997
  • The objective of this study were to compare two methods of analysis of milk urea nitrogen (MUN) and to relate conentration of MUN to pregnancy rate in dairy cows. The Azotest and Sigma method for MUN analysis were compared. The Azotest consistently underestimated the Sigma values for same samples, except for those in rank 3. The CV for the Azotest, within each rank, were less than 15%, demonstrating acceptable repeatability of the Azotest within a rank. Concentrations of MUN higher or lower than MUN in rank 3 and 4 were associated with decreased pregnancy rate. Mun concentrations in rank 5 and 6 were associated with a, pp.oximately a 16 percentage point decrease in pregnancy rate. Mun concentrations in rank 5 and 6 were associated with a, pp.oximately a 16 percentage point decrease in pregnancy rate after AI in dairy cow. This results suggest that Azotest may be benificial to dairy producers to monitor urea nitrogen concentration in their herd in efforts to maintain or improve reproductive efficiency.

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Development of a Model for a National Animal Health Monitoring System in Gyeongnam II. Methodological Issues in the Estimation of Frequencies of Disease in a Prospective Study of Multiple Dynamic Population (동물(젖소) 건강 Monitoring System 모델 개발 II. 동적인 모집단(젖소)의 질병 발생빈도 예측 측정 방법에 대하여)

  • 김종수;김용환;이효종;김곤섭;김충희;박정희;하대식;최민철
    • Journal of Veterinary Clinics
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    • v.16 no.2
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    • pp.422-427
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    • 1999
  • We are proposed for the computation of disease frequency measures and of their associated variances from data collected through prospective study of multiple dynamic cohort (herds) with a National Animal Health Monitoring System (NAHMS) in Gyeongnam. We can be estimated and calculated the annual incidence density for a group of herds and the 1-month risk of disease from the same within herd measure of monthly incidence density. We are proposed that the choice of measure to be estimated depend on the intended use of the information. From results in this study, Our study demonstrate that risk estimates are appropriates for producers and clinic veterinarian making decisions at the animal or herd level. Incidence density measures are appropriate for extrapolation to reference populations used for state and regional-level decision making.

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