• Title/Summary/Keyword: Milking

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Survey of mastitis management and incidence of mastitis in high somatic cell count of bulk milk at dairy farms in the Gyeongnam (경남지역의 체세포수 문제 목장에서의 젖소 유방염 관리실태 및 발생양상 조사)

  • Kim, Seong-Eun;Hah, Do-Yun;Jang, Eun-Hee;Kwon, Hee-Nyung;Jo, Seong-Suk;Kwon, Young-Taek;Park, Dong-Yeop;Lee, Kuk-Cheon;Kim, Jong-Shu
    • Korean Journal of Veterinary Service
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    • v.34 no.4
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    • pp.379-388
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    • 2011
  • Survey of mastitis management and incidence of mastitis in the Gyeongnam was started in May to September 2009 to solve mastitis problem statistically valid data for use in estimating mastitis management, isolation and antimicrobial drug susceptibility in 30 dairy farms having over 350,000/ml somatic cell count. In investigation on recognition of farmer about bovine mastitis, the ratio of understanding of differences between infectious and environmental origin, understanding of correlation between superbacteria and using indiscriminate, necessity of pathogen identification, and necessity of antimicrobial sensitivity tests were 80.0%, 73.3%, 33.3%, and 53.3%, respectively. In survey of mastitis management type, regular california mastitis test (CMT), conducting CMT test and empirical self-treatment, when detecting suspected cows, were 30.0%, 40.0%, and 46.7%, respectively. Checking and cleaning pulsators biweekly, cleaning vacuum system and replacing liners every 3~6 month, and getting milking system checked by engineers showed 80.0%, 76.7%, and 76.7% in the questionnaires, respectively. In recognition of farmer about milking hygiene for prevention of bovine mastitis, using individual towels, separated milking (milking order of cows), and teat-dipping disinfection after milking exhibited 13.3%, 86.7%, and 93.3%, respectively. In conclusion, through the questionnaires and laboratory test, we suggest that recognition of farmer about management and incidence of mastitis was very low, thus systemic educational program and public relations about mastitis management were need for dairy farmers.

Factors to Assess for Re-breeding after Parturition in Milking Cows

  • Park, Sung-Jai;Baek, Kwang-Soo;Kim, Hyeon-Shup;Jeon, Byeong-Soon;Her, Tai-Young;Lim, Hyun-Joo;Kang, Seok-Jin;Lee, Hyun-June;Ki, Kwang-Sook;Jo, Woon-Mo;Kim, Sang-Bum;Jung, Young-Hun;Ahn, Byeong-Seog
    • Reproductive and Developmental Biology
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    • v.33 no.3
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    • pp.153-156
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    • 2009
  • The purpose of this study was to assess for re-breeding concentrate period in postpartum in milking cows. The 48 cows aged $3.5{\sim}5.5$ years and of $400{\sim}600\;kg$ body weight were examined every 3rd day from 15 to 36 day postpartum. Blood samples for progesterone and estradiol $17{\beta}$ hormone analyses were withdrawn from the coccygeal vein every third day until the end of the experiment. The ovarian follicular numbers were verified and measured using a multi frequency probe. The least squares means are presented for each day by GLM of SAS. The results showed that ovary lengths (right ovary; $1.64{\pm}0.62\;cm$, left ovary; $1.44{\pm}0.46\;cm$) were similar in right and left ovary activity level during estrous cycle of postpartum cows. We were judged completed uterus on day at $2.31{\pm}0.17\;cm$ level of cervix diameter. And we were monitoring started at $6.44{\pm}2.03\;cm$ from day 15 after postpartum. The results showed that mean plasma concentration of progesterone (3.28 ng/ml) in large follicle gradually increased days 30 in postpartum. And, monitoring of estradiol 176 (22.18 pg/ml) hormone during postpartum period would be useful to predict the ovarian and uterus activity for re-breeding in postpartum milking cows. From these results, we conclude that cervix diameter (mean: 2.31 cm) was very important for reproductive organ recovery standard level of postpartum milking cows, hormone secretion level ($P_4$: 3.28 ng/ml, $E_2$: 22.18 pg/ml) and body condition score ($2.5{\sim}2.75$) level about 30 days in postpartum period.

Effect of Feed Intake and Water Consumption on Milk Yield and Manure Production in Milking Cows (착유우의 사료섭취량과 음수량이 산유량과 분뇨 배설량에 미치는 영향)

  • Choi, D.Y.;Kwag, J.H.;Park, C.H.;Jeong, K.H.;Kim, J.H.;Yoo, Y.H.;Yang, C.B.;Choi, H.L.;Ahn, H.K.
    • Journal of Animal Environmental Science
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    • v.13 no.1
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    • pp.21-28
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    • 2007
  • This experiment was conducted to determine the effect of feed intake and water consumption on milk yield and manure production in milking cows. The average feed intake(dry matter) of milking cows were 19.5kg/hd/d. Spring(23.9kg) and fall(22.1kg) feed intake rates when higher than in the summer(17.0kg) and winter(15.3kg/hd/d). The average water consumption of milking cows were $77.2\ell/hd/d$. Summer showed the highest value$(85.5\ell/hd/d)$ and winter showed the lowest value$(62.2\ell/hd/d)$. The average milk yield during spring, summer, fall, and winter was 30.8, 24.0, 25.4, and 23.7kg/hd/d, respectively. Milk yield during spring was found to be statiscally greater than for the other seasons. Manure production of milking cows during spring, summer, fall, and winter was 64.4, 63.5, 60.4, and 51.0kg/hd/d, respectively. Consequently, a relatively high correlation between milk yield and water consumption$(R^2=0.7742)$, milk yield and feed intake$(R^2=0.7459)$, water, consumption and urine production$(R^2=0.7422)$, feed intake and feces production$(R^2=0.6044)$, and milk yield and feces production$(R^2=0.6920)$ were observed in milking cows. The other hand, correlation between water consumption and feces production$(R^2=0.2950)$, feed intake and urine production $(R^2=0.1985)$, and milk yield and urine production$(R^2=0.2335)$ were found to be relatively low. Therefore, correlation equation between milk yield and feed intake, milk yield and water consumption can be estimated from : $Y=0.1919X_1+11.181(R^2=0.7742),\;Y=0.8568X_2+9.3067(R^2=0.7459)$(Y=milk yield $X_1=water$ consumption, $X_2=feed$ intake).

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A Stereo-Vision System for 3D Position Recognition of Cow Teats on Robot Milking System (로봇 착유시스템의 3차원 유두위치인식을 위한 스테레오비젼 시스템)

  • Kim, Woong;Min, Byeong-Ro;Lee, Dea-Weon
    • Journal of Biosystems Engineering
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    • v.32 no.1 s.120
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    • pp.44-49
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    • 2007
  • A stereo vision system was developed for robot milking system (RMS) using two monochromatic cameras. An algorithm for inverse perspective transformation was developed for the 3-D information acquisition of all teats. To verify performance of the algorithm in the stereo vision system, indoor tests were carried out using a test-board and model teats. A real cow and a model cow were used to measure distance errors. The maximum distance errors of test-board, model teats and real teats were 0.5 mm, 4.9 mm and 6 mm, respectively. The average distance errors of model teats and real teats were 2.9 mm and 4.43 mm, respectively. Therefore, it was concluded that this algorithm was sufficient for the RMS to be applied.

Characteristics of Manure and Estimation of Nutrient and Pollutant of Holstein Dairy Cattle (홀스타인 젖소 분뇨의 특성과 비료성분 및 오염물질 부하량 추정)

  • Choi, D.Y.;Choi, H.L.;Kwag, J.H.;Kim, J.H.;Choi, H.C.;Kwon, D.J.;Kang, H.S.;Yang, C.B.;Ahn, H.K.
    • Journal of Animal Science and Technology
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    • v.49 no.1
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    • pp.137-146
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    • 2007
  • This study was conducted to determine fertilizer nutrient and pollutant production of Holstein dairy cattle by estimating manure characteristics. The moisture content of feces was 83.9% and 95.1% for urine. The pH of feces and urine were in the ranges of 7.0~7.4 and 7.5~7.8, respectively. The average BOD5, COD, SS, T-N, T-P concentrations of the dairy feces were 18,294, 52,765, 102,889, 2,575, and 457mg/ℓ, respectively. Dairy urine showed lower levels of BOD5(5,455mg/ℓ), COD(8,089mg/ℓ), SS(593mg/ℓ), T-N(3,401mg/l), and T-P(13mg/ℓ) than feces. The total daily produced pollutant amounts of a dairy cow were 924.1g(Milking cow), 538.8g(Dry cow), 284.4g(Heifer) of BOD5, 2,336.5g (Milking cow), 1,651.8g(Dry cow), 734.1g(Heifer) of COD and 4,210.1g(Milking cow), 2,417.1g(Dry cow), 1,629.1g(Heifer) of SS and 194.8g(Milking cow), 96.4g(Dry cow), 58.3g(Heifer) of T-N and 24.0g(Milking cow), 10.2g(Dry cow), 6.1g(Heifer) of T-P. The calculated amount of pollutants produced by a 450kg dairy cow for one year were 181.3kg of BOD5, 492.5kg of COD, 899.9kg of SS, 36.0kg of T-N and 4.1kg of T-P. The total yearly estimated pollutant production from all head(497,261) of dairy cattle in Korea is 90,149 tons of BOD5, 244,890 tons of COD, 447,491 tons of SS, 17,898 tons of T-N and 2,008 tons of T-P. The fertilizer nutrient concentrations of dairy feces was 0.26% N, 0.1% P2O5 and 0.14% K2O. Urine was found to contain 0.34% N, 0.003% of P2O5 and 0.31% K2O. The total daily fertilizer nutrients produced by dairy cattle were 197.4g (Milking cow), 97.4g(Dry cow), and 57.9g(Heifer) of Nitrogen, 54.2g(Milking cow), 22.2g(Dry cow), and 14.2g(Heifer) of P2O5 and 110.8g(Milking cow), 80.4g (Dry cow), and 39.5g(Heifer) of K2O. The total yearly estimated fertilizer nutrient produced by a 450kg dairy animal is 36.2kg of N, 8.8kg of P2O5, 24.6kg of K2O. The estimated yearly fertilizer nutrient production from all dairy cattle in Korea is 18,000 tons of N, 4,397 tons of P2O5, 12,206 tons of K2O. Dairy manure contains useful trace minerals for crops, such as CaO and MgO, which are contained in similar levels to commercial compost being sold in the domestic market. Concentrations of harmful trace minerals, such as As, Cd, Hg, Pb, Cr, Cu, Ni, Zn, met the Korea compost standard regulations, with some of these minerals being in undetected amounts.

A Study of the Milking and Reproduction Performances of Grazing Indigenous Cattle at a Semi Urban Area of Bangladesh

  • Islam, S.S.;Ashraf, A.;Islam, A.B.M.M.
    • Asian-Australasian Journal of Animal Sciences
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    • v.13 no.6
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    • pp.837-841
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    • 2000
  • The study was conducted at semi urban area in Bangladesh. It was based on a field survey by a prepared questionnaire. Various milking and reproduction performance were analyzed. The effects of grazing hour were found significant on age at weaning (AW) (p<0.001), age at first heat (AFH) (p<0.001), age at first conception (AF conception) (p<0.001), age at first calving (AF calving) (p<0.001), post partum heat period (PPHP) (p<0.001), calving interval (CI) (p<0.001), lactation length (LL) (p<0.001) and total lactational production (TLP) (p<0.001). The effects of concentrate feed were significant on AW (p<0.01), AFH (p<0.01), AF conception (p<0.001), AF calving (p<0.001), PPHP (p<0.001) CI (p<0.001), LL (p<0.001) and TLP (p<0.001). The effects of management level were significant on AW (p<0.001), PPHP (p<0.01), CI (p<0.001), daily milk yield (DMY) (p<0.05) and TLP (p<0.001). The overall mean values were $251.88{\pm}2.97$ days for AW, $37.29{\pm}0.33$ months for AFH, $38.43{\pm}0.34$ months for AF conception, $47.62{\pm}0.34$ months for AF calving, $1.30{\pm}0.02$ number of services per conception (NSPC), $191.57{\pm}3.92$ days for PPHP, $17.02{\pm}0.15$ months for CI, $2.49{\pm}0.06kg$ for DMY, $247.23{\pm}3.51$ days for LL and $590.40{\pm}15.00kg$ for TLP.

Studies on Infection Rate and Causative Agents of Bovine Mastitis in Kangweon Area (강원지역의 젖소 유방염 감염율 및 원인균에 관한 연구)

  • Goh Gwang-Du;Kim Doo
    • Journal of Veterinary Clinics
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    • v.8 no.1
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    • pp.47-52
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    • 1991
  • A total of 2,024 quarters of 515 dairy cattle in Kangweon area were examined for incidence of subclinical mastitis. Milk samples from cattle infected with subclinical mastitis were studied bacteriologically and the bacterial strains isolated were further examined for sensitivity to 12 antibacterial agents. And the status of carrying out the mastitis control program in 28 dairy farms was examined. The results obtained were summerized as follows ; 1. A total of 308(59.8%) of 515 cattle and 656(32.4%) of 2,024 quarters were found to be infected with subclinical mastitis. 2. The 277 strains of etiological agents were isolated from 358 subclinical quarters. These were identified as Staphylococcus aureus(14.4%), other staphylococci(36.5%), Streptoccus agalatiae(8.7%), other streptococci(30.7%), Bacillus spp.(1.8%), Corynebacterium spp.(1.4%) and coliform(0.7%). 3. The 109 strains of streptococci and 141 strains of staphylococci were examined for sensitivity to 12 antibacterial agents. All the strains of streptococci were sensitive to penicillin, ampicillin and cephalothin, and they were also sensitive to erythromycin(88.1%), clindamycin(83.5%), enrofloxacin(75.2%), trimethoprim+sulfamethoxazole(67.9%), The strains of staphylococci were sensitive to cephalothin(97.2%), gentamicin(83.0%). enroflozacin(80.9%), trimethoprim+sulfamethoxazole(78.0%), erythromycin(71.6%) and clindamycin(71.6%). But all the strains resisted to colistin. 4. In the 28 dairy farms examined, condition of udder before washing was dirty in most of the farms (89.7%). Hygiene of milking equipment was only good in the 5 farms(17.9%). Teat preparation before milking was good in the 6 farms(21.4%). The farms in which teat dipping after milking was conducted were 46.4%. Dry cow treatment for the complete herd was carried out in most of the farms(89.3%) but mastitis checking was only carried out in the 8 farms(28.6%) irregularly.

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The Valuation for Automatic Milking System (자동착유시스템의 투자효과 분석)

  • Kim, Yun Ho;Son, Chan Soo;Kim, Mi Ok;Jung, Gu Hyun
    • Journal of Agricultural Extension & Community Development
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    • v.19 no.4
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    • pp.799-831
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    • 2012
  • This study was accomplished to support farmers who want to introduce Automatic Milking System. The methods of analysis is considered on it as investment analysis that NPV, ROV and FROV. As a classical investment analysis technique, NPV showed 142 thousand won on the every senarioes. On the other hands, The Real Option Analysis showed 153,826, 154,937 and 152,858 on the normal, optimistic and pessimistic senarioes respectively. it is considered as a investment analysis technique for strategic decision-making. But, it may have problem to evaluate present value of expected cash flows and expected costs by a single number. To solve those problems, this paper tried to evaluate Fuzzy Real Option Model which were jointed with a real option model and Fuzzy set model. The result of analysis showed, on respective senarioes, 153,515 to 161,489, 154,612 to 162,970, and 152,573 to 159,835 on the interval estimation. Thereby It is a more realistic in many cases.