• 제목/요약/키워드: Automatic milking system

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Effects of Miling System on Gouda Cheese Characteristics made from Farmstead Milk-processing Plant (착유방식이 목장형 유가공으로 제조된 고다치즈의 품질 특성에 미치는 영향)

  • Lee, Jin-Sung;Moon, Ju Yeon;Nam, Ki-Taeg;Park, Seong-Min;Park, Seung-Yong;Jung, Mun Yhung;Son, Yong-Suk
    • Journal of Dairy Science and Biotechnology
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    • v.34 no.4
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    • pp.245-254
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    • 2016
  • This investigation was carried out to study effects of different milking systems on the characteristics of Gouda cheese produced at farmstead milk-processing plants. In the first study, raw milk was collected from automatic milking system and conventional milking system farms, and Gouda cheeses were prepared under the same conditions. After 6 months of aging, the chemical composition was analyzed and free fatty acid (FFA) analysis and sensory evaluation were carried out on the products. In the second study, Gouda cheese samples were collected from seven farmstead milk-processing plants and the chemical composition and texture profile analysis were evaluated. No significant differences were found in the chemical composition of Gouda cheese according to different milking systems or different farms except crude ash. FFA analysis showed significant differences among farms, but sensory evaluation showed no significant differences. No significant differences were observed in FFA content and sensory assessment of different milking systems. Texture profile analysis revealed that there were significant differences in each cheese made at different farm plants, but there were no differences when different milking systems were used.

Genetic Parameters for Milking Duration, Milk Flow and Milk Yield Per Milking in Holstein Dairy Cattle (홀스타인 착유우의 착유시간, 착유속도 및 착유량에 대한 유전모수 추정)

  • An, Byeong-Seok;Ju, Jong-Cheol;Jeon, Byeong-Sun;Park, Seong-Jae;Baek, Gwang-Su;Park, Su-Bong
    • Journal of Animal Science and Technology
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    • v.48 no.4
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    • pp.487-492
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    • 2006
  • This study estimated characteristics and genetic parameters for milking traits in Holstein dairy cattle. Daily records (12,561) were available from a hundred fifty four lactating cows with sixty six sires at National Livestock Research Institute from November, 2005 to April, 2006. The cows were fed same rations, and were milked twice daily using milking parlour equipped with Alpro-system?? to collect milking records automatically. The experimental cows have averaged 1.9 parities, 139.7 days in milk, and 13kg milk yield per milking. Average milk flow was 64% of peak milk flow. Milking duration, peak milk flow, average milk flow, and milk yield per milking were 5.57±1.67 minutes, 3.58±0.79kg/minute, 2.28±0.51kg/minute, and 13.02±4.09kg, respectively. All traits in the morning milking were higher than those of in the evening milking, and were also increased with parity. Heritabilities for milking duration, peak and average milk flow, and milk yield per time were 0.49, 0.70 0.58 and 0.36, respectively. The genetic correlations of milking duration with peak milk flow, average milk flow, and milk yield per time were 0.48, 0.54, and 0.41, respectively. The correlations of milk yield per milking with peak milk flow and average milk flow were 0.23 and 0.30, respectively. In conclusion, milk flow was increased with milk yield; however milk flow was opposite relationship with milk duration. Further studies are not only necessary to warranty genetic parameters, but pre-installation of automatic recording system to collect daily milking record is also necessary.

Effects of photoperiod and light intensity on milk production and milk composition of dairy cows in automatic milking system

  • Lim, Dong-Hyun;Kim, Tae-Il;Park, Sung-Min;Ki, Kwang-Seok;Kim, Younghoon
    • Journal of Animal Science and Technology
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    • v.63 no.3
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    • pp.626-639
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    • 2021
  • The purpose of this study was to determine the effects of photoperiod and light intensity on milk production, milk composition, hormones levels and blood metabolites indices of Korean Holstein dairy cows in automatic milking system (AMS). A total of 24 Holstein dairy cows were selected and used to four subsequent treatments for the experimental periods of 60 days. The light programs consisted of (1) Control: the natural photoperiod with 14.2 h of the light period and 9.4 h of the dark period (below 10 Lux); (2) T1: 16 h of the long day photoperiod (LDPP) with 50 Lux of light; (3) T2: 16 h of LDPP with 100 Lux of light; and (4) T3: 16 h of LDPP with 200 Lux of light, respectively. Importantly, there was a significant difference in the thurl activity of dairy cows between the different light intensity programs (p < 0.05). Milk yield was higher in T1 and T2 (40.80 ± 1.71 and 39.90 ± 2.02 kg/d, respectively) than those of Control and T3 (32.18 ± 1.51 and 35.76 ± 2.80 kg/d, respectively) (p < 0.05), but DMI was lower in T1, T2, and T3 compared to Control (p < 0.05). Also, milk fat percentage, the contents of milk fat and total solids were higher in T2 than those in the others (p < 0.05). The average daily melatonin level in milk was high to T3 (28.20 ± 0.43 pg/mL), T2 (24.62 ± 0.32 pg/mL), T1 (19.78 ± 0.35 pg/mL), and Control (19.36 ± 0.45 pg/mL) in order (p < 0.05). Also, the cortisol levels in milk and blood were lower in treatment groups than in Control (p < 0.05). The results of this study showed that it will be effective to improve the milk yield and milk composition, and to reduce the stress of dairy cows when the light conditions regulate to extend the photoperiod to 16 h at a light emitting diode (LED) intensity of 100 Lux under the AMS in dairy farm.

Changes of the Chemical and Microbiological Quality in Milk from Jeju-Do after Raw Milk Grading System (등급제 실시 이후 제주산 원유의 품질 변화)

  • Lee, Hyun-Jong
    • Journal of Dairy Science and Biotechnology
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    • v.24 no.1
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    • pp.1-7
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    • 2006
  • This experiment was performed to identify the improvement of raw milk quality after introducing raw milk grading system(1993, June). The purpose of this experiment was to investigate chemical component and microbiological quality of raw milk in jeju. This experiment made it possible to spread high standard of quality of raw milk or milk product including yoghurt, ice cream etc., and to provide dairy industry information for the construction of Jeju international free city master plan. As a result, automatic milking system is improved a lot after introducing raw milk grading system and sustained good condition compared with other provinces. High ratio was shown dairy farm in jeju for pre-milking, pre-cooling system equipment and self laboring. Otherwise, the ratio of dairy farm doing test of mastitis is low. The ratio of first grade distribution in Jeju is 80.64%, which means that was improved before introducing raw milk grading system. The number of somatic cells found in summer more than that of other seasons in raw milk. However, these data is a little higher than the nation wide data medium. Also, general components, annual lipid ratio is 3.90% that improved compared with before introducing raw milk grading system. These data showed low in summer and similar to nation wide.

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Factors Effecting on Artificial Insemination in Multi-Parturition Cattle (다산차 젖소에 있어서 인공수정 관련 요인)

  • Jeong, Gyeong-Yong;Park, Sung-Jai;Kim, Nam-Hyung;Baek, Kwang-Soo;Jeon, Byeong-Soon;Lim, Hyun-Joo;Her, Tai-Young;Ki, Kwang-Sook;Lee, Gyoung-Suk;Kang, Sung-Yong;Lee, Hyun-June;Chang, Won-Kyong;Kim, Hyeon-Shup
    • Journal of Embryo Transfer
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    • v.25 no.3
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    • pp.155-159
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    • 2010
  • The objective of this study was to determine physiological and mechanical factors effecting on the pregnancy rates following artificial insemination in dairy cattle. Estrus for artificial insemination of cows was checked whether the outflow of mucus from the elements was out flow or not. There were no significant difference of gestation rates with mucus release (31.76%) and without mucus release (24.03%). The pregnancy rates were 39.02% in 10~20mm of follicle size group and 27.08% (p<0.05) in 20~30mm diameter of the follicles. There were not different pregnancy rates between twice inseminated dairy cattle and more than 3 times inseminated cattle. The pregnancy rate was 28.57% under automatic milking system. In contrast, under artificial milking system pregnancy rate was 56.85%. Two systems significantly (p<0.05) were different. These results suggest that pregnancy rates were not effected by physiological system, but mechanical condition.

Analysis of Domestic Production and Import Trends of Livestock Machinery (축산기계의 국내 생산과 수입동향 분석 연구)

  • 이영진;장동일
    • Journal of Animal Environmental Science
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    • v.4 no.2
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    • pp.105-111
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    • 1998
  • The study was conducted to analyze the directions of domestic production and import of livestock machinery and to propose their direction of development. The results of this study are as follows ; 1. Most of livestock machinery for feeding and watering systems are manufactured by a domestic skill. But their performances and know-how are behind those of the advanced countries. 2. The know-how and ratios of the market share of feeding systems for pigs are evaluated high, but researches of total automatic systems for them are very insufficient. 3. Feeding and milking systems for milk-cow are in the conditions of a weak technologies, which should be studied in the future.

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A Suvey on Satisfaction Measurement of Automatic Milking System in Domestic Dairy Farm (자동착유시스템 설치농가의 설치 후 만족도에 관한 실태조사)

  • Ki, Kwang-Seok;Kim, Jong-Hyeong;Jeong, Young-Hun;Kim, Yun-Ho;Park, Sung-Jai;Kim, Sang-Bum;Lee, Wang-Shik;Lee, Hyun-June;Cho, Won-Mo;Baek, Kwang-Soo;Kim, Hyeon-Shup;Kwon, Eung-Gi;Kim, Wan-Young;Jeo, Joon-Mo
    • Journal of Animal Environmental Science
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    • v.17 no.1
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    • pp.39-48
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    • 2011
  • The present survey was conducted to provide basic information on automatic milking system (AMS) in relation to purchase motive, milk yield and quality, customer satisfaction, difficulties of operation and customer suggestions, etc. Purchase motives of AMS were insufficient labor (44%), planning of dairy experience farm (25%), better performance of high yield cows (19%) and others (6%), respectively. Average cow performance after using AMS was 30.9l/d for milk yield, 3.9% for milk fat, 9,100/ml for bacterial counts. Sixty-eight percentage of respondents were very positive in response to AMS use for their successors but 18% were negative. The AMS operators were owner (44%), successor (44%), wife (6%) and company worker (6%), respectively. The most difficulty (31%) in using AMS was operating the system and complicated program manual. The rate of response to system error and breakdown was 25%. The reasons for culling cow after using AMS were mastitis (28%), reproduction failure (19%), incorrect teat placement (12%), metabolic disease (7%) and others (14%), respectively. Fifty-six percentages of the respondents made AMS maintenance contract and 44% did not. Average annual cost of the maintenance contract was 6,580,000 won. Average score for AMS satisfaction measurement (1 to 5 range) was 3.2 with decrease of labor cost 3.7, company A/S 3.6, increase of milk yield 3.2 and decrease of somatic cell count 2.8, respectively. Suggestions for the higher efficiency in using AMS were selecting cows with correct udder shape and teat placement, proper environment, capital and land, and attitude for continuous observation. Systematic consulting was highly required for AMS companies followed by low cost for AMS setup and systematization of A/S.

Questionnaire Study on the Difficulties and Improvements of the 6th Industrialization Dairy Farm (설문을 통한 6차산업형 목장경영의 애로사항과 개선방안에 관한 연구)

  • Lee, Jin-Sung;Nam, Ki-Taeg;Park, Seong-Min;Son, Yong-Suk
    • Journal of Dairy Science and Biotechnology
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    • v.34 no.4
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    • pp.255-262
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    • 2016
  • This study was conducted to investigate the difficulties of dairy farms in practicing 6th industrialization and methods for overcoming these difficulties. A qustionnaire survey was carried out to examine the present states of farms, recognition of the farmstead milk-processing market situation, possibility of farmstead milk processing for reducing the raw milk surplus, assessment of government policies, and difficulties dairy farmers confront in realizing the 6th industrialization. Farm sizes, types, and human resources organizations varied between farms. Most farmers were producing yogurt and/or fresh (string or barbecue) cheeses, which were marketed through 'Visit and Purchase' channel. Farmers who answered the questionnaire were relatively positive about the current situation of farmstead milk processing, expecting to be involved in the disposal of excess raw milk. Nevertheless, they responded negatively about current relevant policies, citing the main difficulties caused by 'excessive regulation'. Other barriers to successful '6th industrialization' are difficulties in marketing and lack of funds. Approximately 19% of dairy farms practicing the '6th industrialization' use automatic milking system (AMS) and 38.46% of dairy farmers whose milking depends on conventional milking system intend to introduce AMS in the future. Positive expectations of AMS adoption were mostly related to 'lack of time and labor', 'exhibiting for tourism', and 'succession of dairying'.

Exploring indicators of genetic selection using the sniffer method to reduce methane emissions from Holstein cows

  • Yoshinobu Uemoto;Tomohisa Tomaru;Masahiro Masuda;Kota Uchisawa;Kenji Hashiba;Yuki Nishikawa;Kohei Suzuki;Takatoshi Kojima;Tomoyuki Suzuki;Fuminori Terada
    • Animal Bioscience
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    • v.37 no.2
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    • pp.173-183
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    • 2024
  • Objective: This study aimed to evaluate whether the methane (CH4) to carbon dioxide (CO2) ratio (CH4/CO2) and methane-related traits obtained by the sniffer method can be used as indicators for genetic selection of Holstein cows with lower CH4 emissions. Methods: The sniffer method was used to simultaneously measure the concentrations of CH4 and CO2 during milking in each milking box of the automatic milking system to obtain CH4/CO2. Methane-related traits, which included CH4 emissions, CH4 per energy-corrected milk, methane conversion factor (MCF), and residual CH4, were calculated. First, we investigated the impact of the model with and without body weight (BW) on the lactation stage and parity for predicting methane-related traits using a first on-farm dataset (Farm 1; 400 records for 74 Holstein cows). Second, we estimated the genetic parameters for CH4/CO2 and methane-related traits using a second on-farm dataset (Farm 2; 520 records for 182 Holstein cows). Third, we compared the repeatability and environmental effects on these traits in both farm datasets. Results: The data from Farm 1 revealed that MCF can be reliably evaluated during the lactation stage and parity, even when BW is excluded from the model. Farm 2 data revealed low heritability and moderate repeatability for CH4/CO2 (0.12 and 0.46, respectively) and MCF (0.13 and 0.38, respectively). In addition, the estimated genetic correlation of milk yield with CH4/CO2 was low (0.07) and that with MCF was moderate (-0.53). The on-farm data indicated that CH4/CO2 and MCF could be evaluated consistently during the lactation stage and parity with moderate repeatability on both farms. Conclusion: This study demonstrated the on-farm applicability of the sniffer method for selecting cows with low CH4 emissions.

Comparison of Milk Yield and Milk Composition Between Before and After Auto Milking System (AMS) Use in Dairy Cow (국내 자동착유시스템 이용농가의 설치 전·후 산유량 및 유성분 비교)

  • Ki, Kwang-Seok;Jeong, Young-Hun;Park, Sung-Jai;Kim, Sang-Bum;Lee, Wang-Shik;Lee, Hyun-June;Lim, Dong-Hyun;Kim, Hyeon Shup;Kwon, Eung-Gi;Cho, Mi-Yea;Yeo, Joon-Mo
    • Journal of Animal Environmental Science
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    • v.17 no.3
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    • pp.189-196
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    • 2011
  • The present study was conducted to investigate effects of auto milking system (AMS) on milk yield and milk composition in dairy cow using dairy herd improvement (DHI) record. DHI records for 147 cows were compared between a year before and after AMS use. AMS significantly increased daily milk yield compared with the conventional milking system (30.4kg vs 34.3 kg for CMS and AMS, respectively). There were no significant differences in the contents of milk fat (3.7% vs 3.8% for CMS and AMS) and milk protein (3.2% vs 3.2% for CMS and AMS) between CMS and AMS. But the yields of milk fat and milk protein were significantly higher for AMS than for CMS. Average somatic cell counts were 169,400/ml (1st grade) before AMS use but increased by 314,400/ml (2nd grade) after AMS use. Overall, AMS increased milk yield and the yields of milk fat and protein without affecting milk composition but also increased somatic cell count.