• Journal of Biosystems Engineering
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• 제28권1호
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• pp.65-76
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• 2003

The analysis of cow body parameters is important to provide some useful information fur cow management and cow evaluation. Present methods give many stresses to cows because they are invasive and constrain cow postures during measurement of body parameters. This study was conducted to develop the stereo vision system fur non-invasive analysis of cow body features. Body feature parameters of 16 heads at two farms(A, B) were measured using scales and nineteen stereo images of them with walking postures were captured under outdoor illumination. In this study, the camera calibration and inverse perspective transformation technique was established fer the stereo vision system. Two calibration results were presented for farm A and fm B, respectively because setup distances from camera to cow were 510 cm at farm A and 630cm at farm B. Calibration error values fer the stereo vision system were within 2 cm for farm A and less than 4.9 cm for farm B. Eleven feature points of cow body were extracted on stereo images interactively and five assistant points were determined by computer program. 3D world coordinates for these 15 points were calculated by computer program and also used for calculation of cow body parameters such as withers height. pelvic arch height. body length. slope body length. chest depth and chest width. Measured errors for body parameters were less than 10% for most cows. For a few cow. measured errors for slope body length and chest width were more than 10% due to searching errors fer their feature points at inside-body positions. Equation for chest girth estimated by chest depth and chest width was presented. Maximum of estimated error fur chest girth was within 10% of real values and mean value of estimated error was 8.2cm. The analysis of cow body parameters using stereo vision system were successful although body shape on the binocular stereo image was distorted due to cow movements.

• 한국동물생명공학회지
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• 제38권4호
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• pp.215-224
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• 2023

Background: Reproductive management practices play crucial roles to maximize the reproductive performance of cows, and thus contribute to farm profitability. We aimed to assess the reproductive management of cows currently practiced in the dairy farms in an urban farming system. Methods: A total of 62 dairy farms were randomly selected considering all size of farms such as small (1-5 cattle), medium (6-20 cattle) and large farms (> 20 cattle) from selected areas of Dhaka city in Bangladesh. The reproductive management-related parameters viz. estrus detection, breeding method, pregnancy diagnosis, dry cow and parturition management, vaccination and treatment of reproductive problems etc. were obtained in a pre-defined questionnaire during the farm visit. Results: The visual observation method was only used (100.0%; 62/62) for estrus detection irrespective of size of the farms; while farmers observed cows for estrus 4-5 times a day, but only for 20-60 seconds each time. Regardless of farm size, 89.0% (55/62) farms used artificial insemination (AI) for breeding the cows. Intriguingly, all farms (100.0%) routinely checked the cows for pregnancy at 35-40 days post-breeding using rectal palpation technique by registered veterinarian. However, only 6.5% (4/62) farms practiced dry cow management. Notably, all farms (100.0%) provided nutritional supplements (Vit D, Ca and P) during late gestation. However, proper hygiene and cleanliness during parturition was not practiced in 77.4% (48/62) farms; even though 96.7% (60/62) farms treated cows by registered veterinarian for parturition-related problems. Conclusions: While farmers used AI service for breeding and timely check their cows for pregnancy; however, they need to increase observation time (30 minutes/ observation, twice in a day: early morning and early night) for estrus detection, consider dry cow management and ensure hygienic parturition for maximizing production.

• Journal of Microbiology and Biotechnology
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• 제20권2호
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• pp.245-253
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• 2010

The base sequences representing human- and cow-specific 168 rRNA gene markers identified in a T-RFLP analysis were recovered from clone libraries. The human- and cow-specific primers were designed from these sequences and their specificities were analyzed with fecal DNAs from human, cow, and pig. The AllBac primer set showed positive results for all human, cow, and pig samples, whereas the human-specific primer set showed positive result only for the human sample but not for the cow or pig samples. Likewise, the cow-specific primer set showed positive results only for the cow sample but not for the human or pig samples. Real-time PCR assay with these primers was developed for the identification and quantification of fecal pollution in the river water. The human- and cow-specific markers were detected in the order of 9 $\log_{10}$ copies per gram wet feces, which were two orders of magnitude lower than those of total Bacteroidales. For the river water samples, the human-specific marker was detected in $1.7-6.2\;\log_{10}$ copies/100 ml water, which was 2.4-4.9 orders of magnitude lower than those of total Bacteroidales. There was no significant correlation between total Bacteroidales and conventional fecal indicators, but there was a high correlation between Bacteroidales and the human-specific marker. This assay could reliably identify and quantify the fecal pollution sources, enabling effective measures in the watersheds and facilitating water quality management.

• Journal of Biosystems Engineering
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• 제37권2호
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• pp.122-129
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• 2012

Purpose: Recent mechatronics technology is the most appropriate high technology in agricultural applications to save repetitious labor. Method: Cow's body parameters were measured by several traditional measurers. Image processing technology was used to measure automatically their parameters to reduce labor and time. The parameters were measured form a small model cow which is easily measured, instead to a real cow. The image processing system designed and built for this project was composed of a PC, grabber card, and two cameras, which are located on the side and the top of the model cow. Tests of verification had measured 10 dairy cows. Result: Nine parameters of the model cow's body were measured, and the difference between the real data and the data by image processing was less than 16.7%. Based on the results of the research, the parameters of a real cow had measured of chest depth, withers height, Pelvic arch height, body length, slope body length, chest width, hip width, thurl width, and pin bone width were compared with image processing data. Conclusions: In the Demonstration test, Result had obtained similar data of cow model experiments, and the most of errors were shown less than 5% relatively good result.

• Asian-Australasian Journal of Animal Sciences
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• 제29권4호
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• pp.580-585
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• 2016

The objective of this study was to determine cow characteristics and farm management factors during the dry period associated with early postparturient intramammary infection (IMI) and subsequent clinical mastitis (CM). Data were collected three times: before drying off (P1), during the dry period (P2), and 5 to 14 days after calving (P3), using questionnaires and farm investigation. Milk samples were aseptically collected for bacterial identification at P1 and P3. Factors associated with IMI and CM were analyzed using multiple logistic regression models. The final model showed that IMI in early postpartum was significantly associated with full insertion of dry cow antibiotic, dry cows in barns with a combination of tie and free stalls, body condition score (BCS) in dry period and after calving, and milk yield before drying off. For IMI cows, factors significantly associated with clinical expression of mastitis were having daily barn cleaning, teat disinfected with alcohol before administration of dry cow therapy, BCS before drying off, milk yield before drying off, and days in milk at drying off. In conclusion, both cow and farm management factors are associated with the IMI rate and subsequent expression of clinical signs of mastitis in early postpartum cows.

• 한국가축번식학회지
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• 제25권3호
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• pp.231-235
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• 2001

임신기간은 주요 경제형질 중 하나로서, 임신기간의 단축은 생산비를 감소시켜 한우산업의 경쟁력을 재고시킬 수 있다. 따라서 본 연구는 임신기간에 영향을 미칠 것으로 예상되는 요인들의 효과를 분석하고 대안을 제시하기 위하여 실시하였다. 빈우의 임신기간은 빈우의 산차에 의해 영향을 받지 않았으나, 사육농가와 수정년도 및 종모우에 따라 유의한 차이가 있었다 따라서 임신기간을 단축시키기 위해서는 빈우의 사양환경을 최적화하고 영양관리를 적정화하며 적절한 종모우를 선택하여 인공수정에 사용하여야 한다.

• 과학기술학연구
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• 제8권2호
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• pp.27-56
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• 2008

미국 쇠고기 수입 재개 결정으로 발생한 광우병 논란은 기술위험 관리의 차원에서 볼 때 중요한 사례라고 할 수 있다. 광우병은 새로운 수입 조건하에서 충분히 통제될 수 있으며 감내할 만한 수준이라는 정부의 거듭된 주장에도 불구하고 심각한 위험으로 인식하는 국민들은 수입조건의 재협상을 요구하면서 격렬한 대립이 초래되었다. 예방이나 치료법이 없으며 치사율도 매우 높기 때문에 심각한 위험으로 인식될 가능성이 높은 상황에서 내려진 비일관적 결정이 문제 발생의 원인이었다. 또 정부와 관련 제도에 대한 신뢰의 부족도 정부의 결정을 수용할 수 없는 중요한 조건이었다. 그 결과 국민적 저항이 확산되고 이명박 정부의 위기로까지 이어졌다. 이명박 정부의 주장처럼 위험문제의 정치화는 회피되어야할 것이 아니라 오히려 공개적인 토론과 타협을 요구한다. 새로운 유형의 기술위험이 지속적으로 등장하고 있으며 이러한 논란이 되풀이 될 가능성도 있다는 점에서 기술위험 관리에 대한 새로운 접근과 대응이 필요하다. 광우병 논란은 기술위험 관리의 실패라는 점에서 위험관리에 많은 함의를 제공해 주고 있다.

• Asian-Australasian Journal of Animal Sciences
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• 제32권4호
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• pp.519-526
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• 2019

Objective: We determined the risk factors limiting first service conception (FSC) rate in dairy cows and their economic impact. Methods: Data were collected from 790 lactations regarding cow parity, peri- and postpartum disorders, body condition score (BCS), reproductive performance, and expenses associated with reproductive management (treatment, culling, and others). Initially, we identified the risk factors limiting FSC rate in dairy cows. Various biological and environmental factors, such as herd, cow parity, BCS at 1 month postpartum and first artificial insemination (AI), resumption of cyclicity within 1 month of calving, year, AI season, insemination at detected estrus or timed AI, peri- and postpartum disorders, and calving to first AI interval, were evaluated. Next, we evaluated the economic impact of the success or failure of FSC by comparing the expense associated with reproductive management until conception between cows that did or did not conceive at their first service. Results: Cows with BCS <3.0 had a lower probability of conceiving at first insemination (odds ratio [OR] = 0.64, p<0.05) than cows with $BCS{\geq}3.0$. Cows inseminated during summer were less likely to conceive (OR = 0.44, p<0.001) than cows inseminated during spring. Cows with peri- or postpartum disorders were less likely to conceive (OR = 0.55, p<0.001) than cows without disorders. Survival curves generated using MedCalc showed an 81 day extension in the mean interval between calving and conception in cows that failed to conceive over those that did conceive at first insemination. Cows failing conceive required additional expenditure on reproductive treatment ($55.40) and other management ($567.00) than cows that conceived at first insemination. Conclusion: Lower BCS, hot weather at first insemination, and peri- and postpartum disorders are risk factors limiting FSC, which result in an economic loss of $622.40 per dairy cow.

• 대한환경공학회지
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• 제37권1호
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• pp.52-59
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• 2015

최근 낙농업은 지구온난화 등 환경에 미치는 영향 문제에 직면하고 있다. 특히 젖소로부터 발생하는 장내발효 메탄가스와 젖소를 사육하는데 필요한 사료작물의 재배에 의한 여러 환경영향이 이슈가 되고 있다. 유럽에서는 Product Environmental Footprint (PEF)라는 통합적 라벨링제도를 통해 공산품뿐만 아니라 낙농제품 등과 같은 각종 농업생산물에 대한 환경영향 산정 방법론을 연구하고 있는 실정이다. 이 연구에서는 전과정평가(Life cycle assessment, LCA)를 이용하여 국내 낙농우(젖소)의 전과정에 대해 전과정 단계별로 환경영향을 산정하고 주요이슈를 규명하였다. 시스템 경계는 젖소를 위한 사료작물 재배, 사료가공, 전소 관리와 가축분뇨처리(cradle-to-gate)이다. 기능단위는 1 kg의 우유(Fat Protein Corrected Milk, FPCM(유지 및 단백질 보정유)) 생산이다. 국내 낙농우(젖소) 시스템의 환경영향은 사육단계, 사료작물 재배단계가 분뇨처리단계 및 사료생산 단계보다 더 많은 환경영향범주에서 주요 전과정 단계로 규명되었다. 이에 농장 내 우유 생산과정 환경영향을 저감하기 위해서는 사육 시 장내발효 메탄가스 발생 억제기술 개발, 농장 기기 장비의 에너지효율 개선, 작물 재배 시 발생하는 침출수 관리 및 사료작물 재배 시 비료의 유실방지 기술 개발 등이 주요 환경이슈를 개선하기 위한 방안으로 판단된다.

• Journal of Animal Science and Technology
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• 제65권2호
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• pp.459-472
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• 2023

Korea is currently developing country-specific emission factors to support the 2050 zero-carbon campaign. Dairy cattle represent one of the largest livestock industries in Korea, and the industry is estimated to continue increasing because of an increase in milk demand. However, country-specific emission factors for dairy cattle are currently only available for calculating methane (CH₄) emissions from enteric fermentation. Two experiments were conducted to evaluate CH₄ and nitrous oxide (N₂O) fluxes from sawdust-bedded barn in dairy cow and steer, as well as dairy cattle manure composting lots. The greenhouse gas (GHG) fluxes were quantified using the open-chamber method and gas chromatography. CH₄ fluxes from steer, dairy cow, and manure compost were 27.88 ± 5.84, 36.12 ± 10.85, and 259.44 ± 61.78 ㎍/head/s, respectively. N₂O fluxes from steer, dairy cow, and manure compost were 14.04 ± 1.27, 4.11 ± 1.57, and 3.97 ± 1.08 ㎍/head/s, respectively. The result of this study can be used to construct country-specific data for GHG emissions from manure management. Thus, the application of mitigation strategies can be prioritized based on the GHG profile and targeted source.