• Journal of Animal Science and Technology
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• 제45권5호
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• pp.725-730
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• 2003

This study was conducted to evaluate the adequacy of an alternative a.m.-p.m. testing scheme for milk yield in comparison with the official test method based on weighing two milkings within 24 h. A total of 8,309 p.m. milking weights and 6,767 a.m. milking weights from 72 Holstein cows raised at N.L.R.I. were collected between October 2000 and November 2001. Ratios were computes for daily milk yield to a.m. and p.m. milking weights(direct yield ratios) and ratios of a.m. and p.m. milking weights to daily milk yield (inverse yield ratios). Analysis of variance indicated that the milking interval is the most important source of variation for yield ratios. Adjustment factors for estimating daily milk yield from single milking weights were derived through regression analysis of direct and inverse yield ratios on the length of the milking interval. Daily milk yield was estimated more precisely and accurately when adjustment factors were used than when single milking weights were doubled. In conclusion, alternative recording of a.m. and p.m. milking weights led to reliable estimates of milk yields.

• Journal of Animal Science and Technology
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• 제47권6호
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• pp.919-924
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• 2005

본 연구는 축산연구소에서 사육하고 있는 홀스타인 젖소 122두를 공시하여 2005.7.1부터 2005.8.8까지 연속유량, 유량변이, 유성분, 체세포수, 착유시간, 비유지속시간, 최고비유속도 및 비유속도에 영향을 미치는 산차, 착유시간, 착유간격, 유기가 미치는 효과에 대하여 조사 분석하였다. 공시축의 평균산차는 1.6산, 평균유기는 199.4일, 1회 착유시 평균유량은 12.25kg이었다. 연속유량, 유성분(지방율, 단백질율, 유당율, 무지고형분율), 체세포수, 비유지속시간, 최고비유속도, 평균비유속도는 산차 영향을 받았으며 연속유량, 유량변이, 지방율, 무지고형분율, 체세포수, 비유지속시간, 최고비유속도, 평균비유속도는 착유시간의 영향을 받았다. 비유일수는 연속유량, 지방율, 단백질율, 무지고형분율, 비유속도와 평균비유속도에 영향을 미쳤고, 착유간격은 연속유량, 유량변이, 평균비유속도에 영향을 미치는 것으로 나타났다. 그러나 MUN은 산차, 착유시간, 유기, 착유간격에 의한 영향은 없었다. 연속유량은 산차가 증가 할수록 감소하는 경향이었으며 오전 착유가 오후 착유보다 많이 생산되었고 유량변이에서는 산차간 차이가 없었으나 착유시간에서는 차이가 있었다. 유성분 중에서 지방율에서는 오후 착유가 오전 착유에 비하여 높은 결과를 보였다. 유성분인 유지방율, 유단백율, 유당율 및 무지고형분율과 체세포수, 비유지속시간과 분당 최고비유속도에 대하여 산차와 착유시간에 따라 달랐으나 MUN은 변화가 없었다. 본 연구 결과로 미루어 볼 때 유량변이, 비유속도, 비유시간 등도 중요한 형질로 취급되어야 하며 이들의 유전적 특성 구명을 위하여 더 많은 연구가 수행되어야 할 것으로 생각한다.

• Journal of Animal Science and Technology
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• 제46권5호
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• pp.707-718
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• 2004

오전(AM) 및 오후(PM)의 단얼 착유기록에 의한 유우의 1일 생산량 추청을 위한 통계적 모형에 대한 연구를 실시하였다. 본 연구에서 조사한 모형들 가운데， Model 7은 각 요인 조합 구간별로 개별적인 회귀식을 추정함으로써 산차， 착유시간 간격， 비유 단계에 따른 이분산성을 고려할 수 있기 때문에 평균 오차 제곱 합， 추정치와 실제 1일 유 생산량간의 상관계수 및 추정치의 분산을 고려할 때 가장 적합도가 높은 것으로 사료된다. 오후 착유 기록을 이용한 1일 유 생산량 추정치는 오전 착유 기록을 이용한 것보다는 정확도가 낮은 것을 나타났으며， Model 7의 경우 l일 유 생산량 추정을 위한 제반 요인이 추가되어 정확도가 높일수 있으면서도 모형이 간단하기 때문에 적용이 간펀한 장점이 있다.

• Journal of Animal Science and Technology
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• 제46권4호
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• pp.517-524
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• 2004

본 연구는 유우의 착유 지속시간, 평균 유속 및 최대 유속에 영향하는 환경 요인을 추정하고 이들 형질들과 산유량간의 관련성을 규명하여 진공압에 의한 착유기를 이용한 여건에서 비유 특성에 대해 알아보고 또한 향후 진행될 수 있는 착유우의 유방관련 질병과의 관계에 대한 연구 기초자료를 제공하고자 실시하였다. 조사된 착유 지속 시간 및 유속에 대해 분석 모형에 고려한 분만계절, 산차, 비유 월수 및 착유 시간 간격의 환경 요인들이 대부분 유의적인 효과를 가지는 것으로 추정되었다. 착유 유량과 착유 지속 시간 및 유속간의 상관관계 조사를 통해 유속이 빠를수록 유량이 많아지고, 착유 지속 시간과 유속간의 부의 상관관계가 존재하여, 착유 시간에 대한 경제적 가치를 고려한 투입비용의 절감을 위해 착유시간이 짧은 착유우가 바람직하면서 동시에 착유 유속이 빠르고 착유 유량이 많아질 것으로 기대할 수 있으나, 착유 유속과 유성분내의 체세포 수 및 유방염의 발생 빈도에 대한 기존의 보고들을 고려할 때 질병 발생에 따른 치료비용 및 유질의 저하로 인한 손실을 주의해야 하며, 착유 유량과 착유 지속 시간간의 높은 상관으로 인해 형질간 상관 반응에 대하 해석에 주의가 필요한 것으로 생각되므로 본 연구에서 조사한 착유 유량, 착유 유속 및 착유 지속 시간 뿐만 아니라 체세포 수와 유방염 자료 조사를 통해 다각적인 경제 가중치가 고려된 종합적인 지수식으로 해석하는 것이 적절하며 이에 대한 추가적인 연구가 필요할 것으로 생각된다.

• Asian-Australasian Journal of Animal Sciences
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• 제28권5호
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• pp.703-715
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• 2015

One of the challenges to increase milk production in a large pasture-based herd with an automatic milking system (AMS) is to grow forages within a 1- km radius, as increases in walking distance increases milking interval and reduces yield. The main objective of this study was to explore sustainable forage option technologies that can supply high amount of grazeable forages for AMS herds using the Agricultural Production Systems Simulator (APSIM) model. Three different basic simulation scenarios (with irrigation) were carried out using forage crops (namely maize, soybean and sorghum) for the spring-summer period. Subsequent crops in the three scenarios were forage rape over-sown with ryegrass. Each individual simulation was run using actual climatic records for the period from 1900 to 2010. Simulated highest forage yields in maize, soybean and sorghum- (each followed by forage rape-ryegrass) based rotations were 28.2, 22.9, and 19.3 t dry matter/ha, respectively. The simulations suggested that the irrigation requirement could increase by up to 18%, 16%, and 17% respectively in those rotations in El-Nino years compared to neutral years. On the other hand, irrigation requirement could increase by up to 25%, 23%, and 32% in maize, soybean and sorghum based rotations in El-Nino years compared to La-Nina years. However, irrigation requirement could decrease by up to 8%, 7%, and 13% in maize, soybean and sorghum based rotations in La-Nina years compared to neutral years. The major implication of this study is that APSIM models have potentials in devising preferred forage options to maximise grazeable forage yield which may create the opportunity to grow more forage in small areas around the AMS which in turn will minimise walking distance and milking interval and thus increase milk production. Our analyses also suggest that simulation analysis may provide decision support during climatic uncertainty.

• 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.

• 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.

• Asian-Australasian Journal of Animal Sciences
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• 제14권2호
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• pp.189-192
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• 2001

This study was initiated in an effort to determine the normal mean and variations of the somatic cell count (SCC) in milk of buffaloes as influenced by the milking time, stage of lactation, parity and season. The buffaloes were hand milked at 13 and 11 h. interval during evening and morning respectively. On the day of milk sampling the udders were tested for mastitis by California Mastitis Test (CMT). Only those buffaloes, which were found negative in the CMT, were included in the sampling plan. The mean values for morning and evening were 1.09 (range 0.39-1.76) and $0.97(range\;0.57-2.46){\times}10^5cells/ml$, respectively which did not differ significantly. When data of the morning and evening values was compared on the basis of total cell secretion in milk, even then there was no statistical difference between the morning and the evening values, thereby suggesting that no diurnal variation existed in SCC of milk. Paritywise differences were not significant between the 1st to 5th lactation and above. Similarly stage of lactation effect, when tested at 30 day intervals, did not differ significantly. Significant (p<0.05) correlation coefficients (r) between SCC and milk yield during different stages of lactation and parity suggested that SCC per ml of milk was higher during the later stages of lactation. SCC was higher in primiparous than in multiparous buffaloes. On an average the SCC recorded was $1.0{\times}10^5cells/ml$ of milk irrespective of time of milking, parity and stages of lactation. The SCC was low during cold and hot-dry season but were high during the hot-humid season (p<0.05), the respective values being 0.76, 1.08 and $1.35{\times}10^5cells/ml$. These values were lower than the SCC already reported in cows suggesting less stressful condition of the udder of buffaloes in this study.

• 농업생명과학연구
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• 제51권6호
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• pp.137-144
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• 2017

A diverse of recommendation has been made for the structure and management of dairy cows, despite demanding research, the relationship between lactation number and various factors is yet to be established. The present study was aimed to investigate the covariance among lactation number, growth performance, calving interval, and milk production was considered to increase an efficiency of selection schemes and to manage more efficiently Holstein dairy cows that have been raised on small-scale family farms in Republic of Korea. For that purpose, the data were observed from 850 Holstein dairy cows, which a total of 3929 milking, since April 2016 - January 2017. We measured the body weight, height, age, calving interval, and milk production of the each dairy cow. Also, information about the date of lactation, calving interval, and milk production was recorded using an automatic milking system(AMS) with identification numbers. Milk production was calculated per udder quarter in the AMS. Our study results showed the increased average body weight(p>0.05) in 1, 2, 3, and $4^{th}$ lactating dairy cows and afterwards, we noticed the tendency on the average body weight(p<0.05) per lactation progressed. There was no significant difference noticed on height measurement of dairy cows. From the processing data of 850 Holstein dairy cows, the lactation number 1 and 7 had a greater calving interval with significantly lowered milk production, and the lactation number 2, 3, 4, 5, and 6 had significantly lowered the calving interval(p<0.05) with a greater milk production. From our study results, we evidenced that there is a significant relationship between the lactation number, growth performance, calving interval, and milk yield, and the maximum production of milk occurring in the $3^{rd}$ and $4^{th}$ lactation dairy cows. The achieved results from this study can be used by the small-scale farmers to encourage the structure and management of growth performance, calving interval, and milk yield in Holstein dairy cows in Korea.

• Asian-Australasian Journal of Animal Sciences
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• 제13권6호
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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.