• Journal of Animal Environmental Science
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• v.21 no.1
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• pp.29-34
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• 2015

This study was conducted to determine the amount of manure production from Holstein dairy cattle raised in bedded pack barn and the appropriate bedding material removal time. Total six heads of dairy cows (about 715 kg weight) were raised in three pens (two heads per pen) for 62 days. Average daily production of manure containing sawdust bedding was 21.2 kg per head and that of manure excluding bedding was 18.7 kg. Moisture content of bedding materials were significantly increased up to 86% of water holding capacity (WHC) of sawdust during the first 30 days. It kept very stable level after 30 to 50 days. Theoretically, 30 days after adding fresh bedding seems to be proper removal time only based on WHC. On the other hand, from a practical perspective, maximum 50 days after adding new bedding would be fine by comprehensively considering various factors such as bedding material purchasing cost, feeding environment and manure treatment.

• Journal of The Korean Society of Grassland and Forage Science
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• v.16 no.3
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• pp.245-252
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• 1996

This experiment was carried out to investigate the effect of feeding order bay-concentrate-silage, concentratehay- silage, silage-concentrate-hay, silage-concentrate-hay, concentrate-silage-hay) on ruminal characteristics change with 3 fistulated dry Holstein cows in a Latin square design. The main results obtained were as follows : DM intake in forage hayconcentrate-silage feeding order was 1.65% of body weight, which is the highest of all treatments, but that in concentrate-hay-silage 1.4%, which is the lowest. The difference between max and min rumen pH in hayconcentrate-silage feeding order was lowest as 0.55, but there is no significant. The mean rumen $NH_3N$ content in silage-concentrate-hay feeding order was highest as 6.12mg/100ml, but that in silageconcentrate-hay feeding order lowest as 4.82mg/100ml. Acetic acid and propionic acid content was highest in forage hay-concentrate-silage feeding order. but there is no significant. The ratio of acetic acid to propionic acid averaged 3.47~3.69(NS). In conclusion, the best feeding order fitted in ruminal physiology was forage hay-concentrate-silage.

• Journal of Embryo Transfer
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• v.24 no.1
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• pp.33-37
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• 2009

Multiple ovulation and embryo transfer (MOET) has the potential to increase the rates of genetic improvement in cattle. Thus this study was performed to investigate several factors influencing in vivo embryo production in Holstein cattle under field conditions. The donors were superovulated with Folltropin-V and $PGF_2{\alpha}$ combination method. From Day 10 onward, donors were superovulated by i.m., twice daily, administration of 400mg Folltropin-V given in a series of decreasing doses over a 4-day period: on the first day, 3.5ml; on the second day, 3.0ml; on the third day, 2.0ml; and on the fourth day, 1.5ml (20ml in total, equivalent to 400mg of NIH-FSH-P1). Estrus was induced by i.m. administration of 25mg prostaglandin $F_2{\alpha}$ on the sixth and seventh of FSH treatment. Estrus detection was performed twice daily beginning 24h after the first prostaglandin $F_2{\alpha}$ injection. Donor cows were artificially inseminated 12 and 24 h after first standing estrus with semen from a proven Holstein sire. Embryos used in this study were recovered Day 7.5 of the cycle (Day 0: first standing estrus). From 195 superovulated dairy cows, 2,104 eggs were recovered, of which 1,172 were classified as transferable embryos based on morphological evaluation of quality. The results are summarized as follows: 1. The numbers of recovered and transferable embryos did not significantly differ among the capacity of milk production that were < 10,000kg/305days (group 1), $10,000{\sim}12,000\;kg$/305days (group 2) or > 12,000kg/305 days (group 3) (p>0.05, Table 1). 2. No differences in the numbers of recovered and transferable embryos were found among the donor's postparient days (p>0.05, Table 2). 3. Also, the numbers of recovered and transferable embryos of each superovulation seasons did not significantly differ among the four groups (p>0.05, Table 3).

• Journal of Animal Science and Technology
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• v.47 no.4
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• pp.573-582
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• 2005

This study was conducted to investigate effects of the brown seaweed waste(BSW) supplementation on milk production and related endocrine response in serum in Holstein dairy cows. A total of 14 Holstein dairy cows(initial mean live weight 625kg, average lactation days 225, Reproduction 2.4) were randomly allocated into control(basal diet) and treatment groups (4% BSW/basal diet) with 7 replications for 90 days. Dry matter intake was not affected by brown seaweed waste supplementation, but daily milk yield(kg) at the last experiment significantly increased (6.25kg) in treatment group compared with control group(p<0.05) at the last experiment. The plasma insulin-like growth factor(IGF)-1, triiodothyronine($T_3$) and thyroxine($T_4$) levels were significantly increased in treatment group compared with control group(p<0.05), although the concentration of plasma growth hormone(GH) was not significantly different. Milk composition was not significantly different between groups. The somatic cell count(SCC) in milk were significantly reduced in treatment group compared with control group(p<0.05), but antibodies(total IgG, G1, G2) were not significantly different between groups. Therefore we strongly believe that the increased milk yield is related to metabolic hormones as IGF-1, $T_3$ and $T_4$ and the mechanism of reducing SCC in milk must do more study related nonspecific immunsystem in the future.

• Journal of Animal Environmental Science
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• v.18 no.sup
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• pp.21-28
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• 2012

Since the temperature during summer is higher than the temperature which is suitable for milking cows, high temperature stress have severely affected dairy farmers due to decreased milk production. This study was carried out to investigate the effect of rainwater sprinkling system for reducing heat stress in milking cows during intense heat time. Treatment conditions were divided into 2 types ; No rainwater sprinkling (T1) and Rainwater sprinkling (T2). Temperature in the milking cow shed, feed intake, milk yield, respiration rate and rectal temperature were measured to investigate the effect of hot environment on the physiological, productive responses in milkig cows. The results obtained are summarized as follows : The daily milk yields were 24.5 and 27.4 kg per head in T1 and T2 during experimental period. The respiration rate was significantly higher in T1 than those of T2. The rectal temperature in T1 ($40.6^{\circ}C$) was higher than those of T2 ($39.8^{\circ}C$). It was suggested that rainwater sprinkling system installed in the dairy cow shed was effective means to reduce heat stress of milking cow.

• Journal of Animal Science and Technology
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• v.45 no.6
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• pp.997-1006
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• 2003

This study was conducted to investigate the national methane emission from livestock enteric fermentation. For methane emission estimation, livestock were mainly categorized to cattle, swine, poultry, sheep, goats and horses, and cattle were further sub-categorized to calves, fattening cattle, breeding cows in Hanwoo and calves, fattening cattle and lactating cows in dairy cattle. Tier 2 methane emission factors were deduced based on the characteristics of animal performances, live weight, slaughter weight, daily weight gain, and feed digestibility in each category. Tier 2 emission factors of Hanwoo range from 39 to 49 kg/head/year and it is similar to that of Tier 1(47kg/head/year). Tier 2 emission factor of dairy cattle was 107 kg/head/year and it is slightly lower than that of Tier 1(118kg/head/year). Total methane emission from livestock enteric fermentation by Tier 2 method was estimated to be 126.8 tones in 2001. The methane emissions by Hanwoo, dairy cattle, swine, goats, horses and sheep were 61.70, 47.76, 13.08, 2.25, 0.17 and 0.01 tones, respectively. By the use of Tier 2 method instead of Tier 1, the accuracy and reliability of methane emission estimates from livestock enteric fermentation in Korea is considered to be improved.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1042-1042
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• 2001

In linear discriminant analysis there are two important properties concerning the effectiveness of discriminant function modeling. The first is the separability of the discriminant function for different classes. The separability reaches its optimum by maximizing the ratio of between-class to within-class variance. The second is the stability of the discriminant function against noises present in the measurement variables. One can optimize the stability by exploring the discriminant variates in a principal variation subspace, i. e., the directions that account for a majority of the total variation of the data. An unstable discriminant function will exhibit inflated variance in the prediction of future unclassified objects, exposed to a significantly increased risk of erroneous prediction. Therefore, an ideal discriminant function should not only separate different classes with a minimum misclassification rate for the training set, but also possess a good stability such that the prediction variance for unclassified objects can be as small as possible. In other words, an optimal classifier should find a balance between the separability and the stability. This is of special significance for multivariate spectroscopy-based classification where multicollinearity always leads to discriminant directions located in low-spread subspaces. A new regularized discriminant analysis technique, the principal discriminant variate (PDV) method, has been developed for handling effectively multicollinear data commonly encountered in multivariate spectroscopy-based classification. The motivation behind this method is to seek a sequence of discriminant directions that not only optimize the separability between different classes, but also account for a maximized variation present in the data. Three different formulations for the PDV methods are suggested, and an effective computing procedure is proposed for a PDV method. Near-infrared (NIR) spectra of blood plasma samples from daily monitoring of two Japanese cows have been used to evaluate the behavior of the PDV method in comparison with principal component analysis (PCA), discriminant partial least squares (DPLS), soft independent modeling of class analogies (SIMCA) and Fisher linear discriminant analysis (FLDA). Results obtained demonstrate that the PDV method exhibits improved stability in prediction without significant loss of separability. The NIR spectra of blood plasma samples from two cows are clearly discriminated between by the PDV method. Moreover, the proposed method provides superior performance to PCA, DPLS, SIMCA md FLDA, indicating that PDV is a promising tool in discriminant analysis of spectra-characterized samples with only small compositional difference.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.6
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• pp.777-782
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• 2002

Reciprocal effects among local breeds and additive and heterosis effects were estimated for total milk production per lactation (TLP), lactation length (LL) and daily milk yield (DMY). Procedures for an optimum crossbreeding system were examined by comparing various crossbred combinations. Three data sets were chosen from the total records collected from 1962 to 1997. Data set I with a total of 5,938 records composed of 9 breed groups for reciprocal crosses, data set II with a total of 6,064 records composed of 5 breed groups for additive and heterosis effects and data set III with a total of 10,319 records composed of 42 breed groups for optimum crossbreeding system were analyzed. The least squares ANOVA was used. The reciprocal crosses between Red Sindhi and the Bangladeshi Local showed significant difference. When the Red Sindhi was used as cow, the cross was superior to the opposite in terms of the three performance traits. The results showed that additive breed effects on both TLP and DMY were positive and highly significant between Bos indicus and Bos taurus, whereas the individual heterosis effects were not significant. In general, any local breeds were improved two to three times by crossing with the Friesian once or twice. However, the effect was reduced when the grading up with the Friesian was repeated more than twice. On the other hand, when the local breed was crossed with the other breeds such as Holstein and Jersey, the improvement of TLP was less. Crossing the F1 cows with the Friesian bull gave further improvement. Almost the same trends were found also for LL and DMY. The local breeds and their crosses are raised mainly for draft animals, then it is recommended that the crossbreds between the local cows and Friesian are used for dairy purposes and more than 75% Friesian blood is used for beef.

• Journal of Embryo Transfer
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• v.14 no.3
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• pp.203-210
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• 1999

In this stuyd, the effect of the dominant follicle aspiration for the superovulatory response in HanWoo was investigated. The criterion for the presence or absence of a dominant follicle based on their morphological examination. The dominant follicle was aspirated 48hr before the onset of superovulation treatment by 6.5MHz convex probe connected with a carrier and superovulation induced by FSH (Super-Ov Tyrer, Texas, U.S.A) adminstered twic a day s.c. over 4 day in a decreasing regimen. From 13 HanWoo scanned daily to determine the presence and growth of the dominant follicle, its an average diameter of 15.4mm was measured and an average diameter of corpora lutea was 18.7mm on day of follicular aspiration. In the experiment, a follicular remove by ultrasound-guided aspiration, the ovarian response was significantly enhanced when animals were superovulated in the aspiation of a dominant follicle compare with animals superovulated non-aspiration of a dominat follicle. In the aspiration of a dominant follicle donors yieleded more corpora lutea(14.4$\pm$4.7 vs 8.6$\pm$3.4) and transferable embryos(8.9$\pm$4.2 vs 5.4$\pm$2.7) than control. In cows in which the dominant follicle had been aspirated under sonographical control 2 days before superovuation, the number of corpus lutea and transferable embryos were significantly enhanced compared with animals superovulated in the presence of a dominant follicle (14.4$\pm$4.7 vs 6.9$\pm$2.7, ; 8.9$\pm$4.2 vs 3.3$\pm$1.6). After 7 days of artificial insemination, the embryos at 7 days were cllected by uterine flushing after dominant follicle insemination, the embryos at 7 days were collected by uterine flushing after dominant follicle aspiration and superovulation treatment, and evaluated their quality by morphological criteria. Sixteen embryos with excellent and good grade were transferred into 8 recipient cows. Six pregnancies were identified at 60 and 120 days of gestation by rectal palpations. In conclusion, the present study showed that 1) the presence or absence of a dominant follicle signficicnatly affects superovulatory responses, and 2) ultrasound-guided follicular aspiration of the dominant follicle and superovuation treatment provides an accurate and procedure to increase ovarian responses in HanWoo.

• Journal of Embryo Transfer
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• v.31 no.3
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• pp.261-265
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• 2016

The aim of the present study was to evaluate and estimate timing of artificial insemination (AI) in Hanwoo heifer (Korean native cattle) that is the most popular breed of beef cattle in Korea. To determine changes in body weight of heifers around AI, body weight were measured at different stages either before or after AI. We found that daily body weight gain was higher in the pregnant cows after AI. We also investigate correlation between body mass measured by shoulder height and body length, and conception rates, used (body length+ height)2 instead of height2 for body mass index (BMI), and found that relatively more BMI heifers (>55) showed higher conception rates. Finally, we estimated body weight by measuring should height (SH), heart girth (HG), and body length (BL); $BW=3.93372^*HG-2.90985^*SH-0.021^*BL$. In addition, we observed that HG is most closely correlated with BW; $y(BW)=1.77355^*x(HG)$, $R^2=0.98881$. In summary, we can determine the best timing of AI using body measurement and its application including BMI.