• Asian-Australasian Journal of Animal Sciences
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• 제27권4호
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• pp.587-591
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• 2014

Automatic milking systems (AMS) rely upon voluntary cow traffic (the voluntary movement of cattle around a farm) for milk harvesting and feed consumption. Previous research on conventional milking systems has shown differences between dairy cow breeds for intake and milk production, however, the ability to manipulate voluntary cow traffic and milking frequency on AMS farms through breed selection is unknown. This study investigated the effect of breed (Holstein Friesian versus Illawarra) on voluntary cow traffic as determined by gate passes at the Camden AMS research farm dairy facility. Daily data on days in milk, milk yield, gate passes and milking frequency for 158 Holstein Friesian cows and 24 Illawarra cows were collated by month for the 2007 and 2008 years. Illawarra cows had 9% more gate passes/day than Holstein cows over the duration of the study; however, the milking frequency and milk yield of both breeds were similar. Gate passes were greatest for both breeds in early lactation and in the winter (June to August) and summer (December to February) seasons. These findings highlight an opportunity to translate increased voluntary cow movement associated with breed selection into increased milking frequencies, milk production and overall pasture-based AMS performance.

• 한국축산시설환경학회지
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• 제3권2호
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• pp.87-95
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• 1997

This study was peformed to compare work routine time and performance of milking systems by measuring motion and time in milking procedure. Data were collected from thirteen dairy farms among which milking was done by bucket in two farms, by pipelines in three, by tandem parlors in four including one remodeled side-opening, by herringborn parlors in three and by a parallel milking parlor. Recording time and motion for milking parlor. Recording time and motion for milking procedure was performed by stopwatch and notebook computer. Work routine elements were recorded and calculated into cows milked per-man-hour(CMPH). The results are as follows : Average milking time per cow(MTPC) in bucket and pipeline milking systems usually installed in cow stall were 442.7 and 395.8 seconds, respectively. And average CMPH of bucket and pipeline milking system were 144.5, 303.3, 272.5 and 380.3 seconds, respectively. And CMPH of tandem, herringbone, parallel and modified side-opening systems were 24.9, 11.9, 13.2 and 9.5 heads, respectively. CMPH was the highest in the tandem milking system and the lowest in the bucket milking facilities. CMPH, when milked in a parlor resulted in high value compared with bucket or pipeline milking systems installed in cow stable. They showed considerably low CMPH compared with the results of other countries. The reason why so low CMPH could be derived from type and mechanization of facilities and equipment, operator's ability, number of operator, idle time and milking procedure.

• 한국축산시설환경학회지
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• 제7권3호
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• pp.169-172
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• 2001

축산기술연구소 유우사에 있는 계류식 우사에서 홀스타인 착유우 6두를 공시하여 1998년 9월 2일부터 9월 11일까지 10일간 개체별로 계류하여 배합사료를 NRC 사양표준에 기준하여 급여하고 조사료로 옥수수 싸일 레지 및 목건초를 자유채식토록 하여 분뇨배설랑과 특성을 조사하였다. 시험기간중 착유우의 평균체중은 550.0kg 이었으며 평균 사료섭취량은 건물기준 16.7 kg이었다. 산유량은 평균 24.4kg이었으며, 음수량은 85.4l였다. 분뇨배실량은 평균 63.5 kg으로, 분이 42.3, 뇨가 21.2kg이있다. 분뇨의 특성에서 분과 뇨의 수분 함량은 각각 83.9, 96.9%였고, pH는 각각 6.6, 7.6으로 나타났다. 분의 $BOD_5,\;COD_{Mn}$, SS, T-N, T-P는 각각 16,560, 40,329, 78,500, 2,854, 577mg/$\ell$였고, 뇨의 $BOD_5,\;COD_{Mn}$, SS, T-N, T-P는 각각 4.580, 7.575, 370, 4,164, 7mg/l로 나타났다. 분뇨중의 중금속 함량은 상당히 낮은 수준으로 나타났다.

• Asian-Australasian Journal of Animal Sciences
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• 제30권8호
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• pp.1093-1098
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• 2017

Objective: The aim of the current study was to describe the relationship between milk yield and lactation number, stage, length and milking frequency in Korean Holstein dairy cows using an automatic milking system (AMS). Methods: The original data set consisted of observations from April to October 2016 of 780 Holstein cows, with a total of 10,751 milkings. Each time a cow was milked by an AMS during the 24 h, the AMS management system recorded identification numbers of the AMS unit, the cow being milking, date and time of the milking, and milk yield (kg) as measured by the milk meters installed on each AMS unit, date and time of the lactation, lactation stage, milking frequency (NoM). Lactation stage is defined as the number of days milking per cows per lactation. Milk yield was calculated per udder quarter in the AMS and was added to 1 record per cow and trait for each milking. Milking frequency was measured the number of milkings per cow per 24 hour. Results: From the study results, a significant relationship was found between the milk yield and lactation number (p<0.001), with the maximum milk yield occurring in the third lactation cows. We recorded the highest milk yield, in a greater lactation length period of early stage (55 to 90 days) at a $4{\times}$ milking frequency/d, and the lowest milk yield was observed in the later stage (>201 days) of cows. Also, milking frequency had a significant influence on milk yield (p<0.001) in Korean Holstein cows using AMS. Conclusion: Detailed knowledge of these factors such as lactation number, stage, length, and milking frequency associated with increasing milk yield using AMS will help guide future recommendations to producers for maximizing milk yield in Korean Dairy industries.

• 한국축산시설환경학회지
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• 제8권3호
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• pp.171-176
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• 2002

Physical parameters of milk cow were measured to design and build RMS(Robotic Milking System) with a tape-measurer and body parameter measurer. The parameters are very important variables to design an RMS. For the working zone space of an RMS manipulator and the movement blunting of milk cow, an interval frame was installed on the stall bottom, and then cow's behavioral reactions were tested. The results from this study is summarized as follow. 1. On the general physical condition measurement, the maximum, minimum and average body length of cow which is related to the space that the manipulator could work into the RMS were 175cm, 144cm, and 163cm respectively. It appeared that the average distance between bottom and chest was 60cm. 2. The average length between fore teats, fore and hind teats and hind teats were 178mm, 150mm and 95mm respectively. It appeared that the average length between bottom and teat attachments was 544mm, and the average length between fore teats and tail-end was 331mm. 3. Although a cow kept a some extent length between hind legs for milking, it looked a stable pose. However, the cow kept a some extent distance between front legs for milking, it looked a unstable pose. Based on results of this test, an interval frame of stall bottom should be installed around the position which was located at its hind legs.

• 한국축산시설환경학회지
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• 제8권3호
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• pp.159-164
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• 2002

The distance between teats of each head on twenty heads of holstein was measured in Nation Livestock Research Institute of Rural Development Administration to find design variables on the teat-cup attachment system of the auto-milking system before milking. The distance between teats was tested by the steps for milk producing in the morning and evening. The results from this study is summarized as follow. 1 The maximum and minimum length between front teats were 297mm and 112mm respectively, the maximum and minimum length between rear teats were 231mm and 36mm and the maximum and minimum length between left front and left rear were 220 and 84mm. And the maximum length of right front and right rear were 205mm and 90mm. A relative position of the each teats was asymmetric. 2. The size of teats, the length between front teats, and the length between rear teats by lactating period were very much changed for its milking. 3. The design variables on the teat-cup attachment system was found by the length between each teats tested. Since the position of teat-cup is changed by milking environment for a cow to milk, the design variables should be considered to be asymmetric area between four teat of COW.

• Asian-Australasian Journal of Animal Sciences
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• 제27권3호
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• pp.422-430
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• 2014

Pasture-based automatic milking systems (AMS) require cow traffic to enable cows to be milked. The interval between milkings can be manipulated by strategically allocating pasture. The current experiment investigated the effect of replacing an allocation of grazed pasture with grazed soybean (Glycine max) with the hypothesis that incorporating soybean would increase voluntary cow traffic and milk production. One hundred and eighty mixed age, primiparous and multiparous Holstein-Friesian/Illawarra cows were randomly assigned to two treatment groups (n = 90/group) with a $2{\times}2$ Latin square design. Each group was either offered treatments of kikuyu grass (Pennisetum clandestinum Hoach ex Chiov.) pasture (pasture) or soybean from 0900 h to 1500 h during the experimental period which consisted of 2 periods of 3 days following 5 days of training and adaptation in each period with groups crossing over treatments after the first period. The number of cows trafficking to each treatment was similar together with milk yield (mean ${\approx}18$ L/cow/d) in this experiment. For the cows that arrived at soybean or pasture there were significant differences in their behaviour and consequently the number of cows exiting each treatment paddock. There was greater cow traffic (more cows and sooner) exiting pasture allocations. Cows that arrived at soybean stayed on the allocation for 25% more time and ate more forage (8.5 kg/cow/d/allocation) relative to pasture (4.7 kg/cow/d/allocation). Pasture cows predominantly replaced eating time with rumination. These findings suggest that replacing pasture with alternative grazeable forages provides no additional incentive to increase voluntary cow traffic to an allocation of feed in AMS. This work highlights the opportunity to increase forage intakes in AMS through the incorporation of alternative forages.

• 전자공학회논문지
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• 제51권9호
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• pp.238-247
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• 2014

착유로봇 시스템은 움직이는 젖소의 유두 위치를 정확하게 검출해야 하고, 로봇 매니퓰레이터는 검출된 유두 위치값을 추적하여 착유컵이 유두에 장착하도록 제어되어야 한다. 제안된 착유로봇 매니퓰레이터는 위치검출 레이저 센서를 이용하여 유두를 스캐닝하고 임베디드 구동제어장치를 통하여 독립된 3축 브러쉬리스 서보 구동제어 메커니즘에 의하여 구현된다. 이 로봇 매니퓰레이터는 유두 위치검출용 레이저센서, 4개의 착유컵, 3축 x, y, z축의 매니퓰레이터, g축 방향 이송기능을 가진 유두인 식장치와 착유컵 구동장치, 임베디드 구동제어장치와 자동 밀크 제어라인으로 구성된다. 제안된 로봇시스템은 구동시스템 전체가 전기구동방식으로 설계되어 있기 때문에 구조가 간단하고, 저가로 제작이 가능하며, 구동시에 소음이 적기 때문에 젖소의 심적 안정성을 줄 수 있는 장점을 가지고 있다. 설계된 로봇은 축산과학원 농장에서 젖소를 대상으로 실험을 실시하였으며, 실험결과에 의하여 설계사양의 성능조건이 만족됨을 확인하였다.

• Journal of Animal Science and Technology
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• 제49권1호
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• pp.137-146
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• 2007

2005년 말을 기준으로 우리나라의 농림업 생산액은 총 36.3조원으로 이중 축산업 생산액은 11.8조원으로 전체 생산액의 32.5%를 차지하여 가장 많은 비율을 점유하고 있으며(농림부, 2006), 유제품의 소비량도 꾸준히 증가하여 1인당 63.6kg의 우유․유제품을 섭취하는 것으로 나타났다(농촌경제연구원, 2005). 이 같은 성장은 축산농가들이 국제 경쟁력 확보를 위해 그동안 보여준 각고의 노력과 꾸준한 투자의 결과로 평가되고 있으며, 이제는 축산물이 국민의 식생활에서 없어서는 안될 중요한 위치를 차지하게 되었다. 우리나라의 가축사육두수는 1970년대부터 해마다 계속 증가하여 2005년 말 현재 한우 1,819천두, 젖소 479천두, 돼지 8,962천두, 닭 109,628천수가 사육되고 있으며 사육농가의 전업화로 인하여 농가수는 점차 줄어들고 있는 반면에 농가당 사육두수는 증가하고 있는 실정이다(농림부, 2005). 농가당 평균 가축사육두수는 한우 8.8두, 젖소 51.7두, 돼지 671.4두, 닭 813.0수이며, 이중 부업이 아닌 전업농으로 볼 수 있는 한우 50두 이상의 사육농가가 전체 한우농가의 2.9%, 젖소 50두 이상 사육농가가 46.8%, 돼지 1,000두 이상의 농가가 21.6%, 닭 30,000수 이상의 농가가 1.0%를 차지하고 있어, 젖소가 다른 축종에 비해 전업농의 규모가 가장 많이 이루어졌다고 볼 수 있다(농림부, 2005). 따라서 매년 축산농가로부터 발생되는 분뇨의 양도 증가되고 있으며, 1990년초부터는 가축분뇨가 작물의 비료원으로 쓰이는 순기능보다는 환경오염의 한 요인으로 지목되면서 토양, 수질 및 대기오염이라는 역기능이 더 부각됨에 따라 도시근교의 낙농가, 초지나 사료작물포를 확보하지 못한 목장, 상수원 보호구역내에 위치한 목장에서는 분뇨처리에 고심을 하지 않을 수 없게 되었다. 특히 체격이 크고 방목지 및 운동장 등의 야외에서 사육되는 경우가 많은 젖소는 다른 가축에 비해 분뇨배설량이 많을 뿐 아니라, 운동장 등 축사 외부에서 활동하는 시간이 많기 때문에 주변으로부터 환경을 오염시키는 주범으로 지목을 받아 왔다. 또한 조사료 생산기반인 동시에 생산된 분뇨를 환원해야 할 경지면적이 협소한 상황에서 이루어진 젖소의 규모확대는 가축분뇨의 토양에 대한 부하를 높이게 되었고, 하천의 수질을 오염시키는 환경오염의 주범으로 인식되어 왔다. 이와같은 대내외적인 요인으로 인해 낙농가들은 목장의 규모에 관계없이, 분뇨를 적절하게 처리하는 것이 목장관리에 필수적인 사항으로 인식하게 되었다. 가축분뇨는 2, 3차 산업에서 발생하는 폐기물과는 그 성격 자체가 판이하게 달라 제도적 접근 방식도 나라와 환경에 따라 현격하게 다르다. 미국과 EC의 경우는 가축분뇨 자체를 환경보전재(Natural Resource)로 규정하고 적정한 사용방법을 정립하여 계도(Guide) 하므로서 환경을 보전하는 적극적인 환경보전 제도를 채택하고 있으며, 일본의 경우는 방류수의 수질을 규제하는 소극적 환경보전 제도로 출발했으나 1993년부터는 환경보전형 농업(축산)으로 정책방향을 전환하여 실행해 오고 있다. 우리나라도 이미 1981년부터 가축분뇨에 의한 환경오염 방지제도(법)가 시행되어 왔으나 법의 시행으로부터 25년이 경과한 현재까지도 가축분뇨에 의한 환경오염은 사회로부터 계속 지탄을 받고 있는 상태이다. 가축분뇨의 처리방식은 축종이나 농가 경영여건별로 크게 다르나, 궁극적으로는 경작지에 퇴비․액비 형태로 살포하여 이용하거나 또는 정화하여 방류하는 방법으로 이루어지고 있다. 따라서 젖소분뇨 또는 슬러리 처리에 필요한 시설 또는 활용계획을 세우기 위해서는 젖소로부터 배출되는 분뇨의 특성뿐만 아니라 오염물질 및 비료성분 배출량 추정이 무엇보다 중요하다고 할 수 있다. 본 연구는 젖소분뇨를 효율적이고 적절하게 처리하기 위한 기초자료를 제공하고 국가단위 관리방안을 제시하기 위하여 수행하였다.

• Asian-Australasian Journal of Animal Sciences
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• 제28권7호
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• pp.1044-1052
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• 2015

The aim of this modelling study was to investigate the effect of large herd size (and land areas) on walking distances and milking interval (MI), and their impact on milk yield and economic penalties when 50% of the total diets were provided from home grown feed either as pasture or grazeable complementary forage rotation (CFR) in an automatic milking system (AMS). Twelve scenarios consisting of 3 AMS herds (400, 600, 800 cows), 2 levels of pasture utilisation (current AMS utilisation of 15.0 t dry matter [DM]/ha, termed as 'moderate'; optimum pasture utilisation of 19.7 t DM/ha, termed as 'high') and 2 rates of incorporation of grazeable complementary forage system (CFS: 0, 30%; CFS = 65% farm is CFR and 35% of farm is pasture) were investigated. Walking distances, energy loss due to walking, MI, reduction in milk yield and income loss were calculated for each treatment based on information available in the literature. With moderate pasture utilisation and 0% CFR, increasing the herd size from 400 to 800 cows resulted in an increase in total walking distances between the parlour and the paddock from 3.5 to 6.3 km. Consequently, MI increased from 15.2 to 16.4 h with increased herd size from 400 to 800 cows. High pasture utilisation (allowing for an increased stocking density) reduced the total walking distances up to 1 km, thus reduced the MI by up to 0.5 h compared to the moderate pasture, 800 cow herd combination. The high pasture utilisation combined with 30% of the farm in CFR in the farm reduced the total walking distances by up to 1.7 km and MI by up to 0.8 h compared to the moderate pasture and 800 cow herd combination. For moderate pasture utilisation, increasing the herd size from 400 to 800 cows resulted in more dramatic milk yield penalty as yield increasing from c.f. 2.6 and 5.1 kg/cow/d respectively, which incurred a loss of up to $AU 1.9/cow/d. Milk yield losses of 0.61 kg and 0.25 kg for every km increase in total walking distance (voluntary return trip from parlour to paddock) and every one hour increase in MI, respectively. The high pasture utilisation combined with 30% of the farm in CFR in the farm increased milk yield by up to 1.5 kg/cow/d, thereby reducing loss by up to $0.5/cow/d (c.f. the moderate pasture and 800 cow herd scenario). Thus, it was concluded that the successful integration of grazeable CFS with pasture has the potential to improve financial performance compared to the pasture only, large herd, AMS.