• Journal of Biosystems Engineering
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• v.3 no.1
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• pp.1-19
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• 1978

Power tiller is a major unit of agricultural machinery being used on farms in Korea. About 180.000 units are introduced by 1977 and the demand for power tiller is continuously increasing as the farm mechanization progress. Major farming operations done by power tiller are the tillage, pumping, spraying, threshing, and hauling by exchanging the corresponding implements. In addition to their use on a relatively mild slope ground at present, it is also expected that many of power tillers could be operated on much inclined land to be developed by upland enlargement programmed. Therefore, research should be undertaken to solve many problems related to an effective untilization of power tillers on slope ground. The major objective of this study was to find out the travelling and tractive characteristics of power tillers being operated on general slope ground.In order to find out the critical travelling velocity and stability limit of slope ground for the side sliding and the dynamic side overturn of the tiller and tiller-trailer system, the mathematical model was developed based on a simplified physical model. The results analyzed through the model may be summarized as follows; (1) In case of no collision with an obstacle on ground, the equation of the dynamic side overturn developed was: $$\sum_n^{i=1}W_ia_s(cos\alpha cos\phi-{\frac {C_1V^2sin\phi}{gRcos\beta})-I_{AB}\frac {v^2}{Rr}}=0$$ In case of collision with an obstacle on ground, the equation was: $$\sum_n^{i=1}W_ia_s\{cos\alpha(1-sin\phi_1)-{\frac {C_1V^2sin\phi}{gRcos\beta}\}-\frac {1}{2}I_{TP} \( {\frac {2kV_2} {d_1+d_2}\)-I_{AB}{\frac{V^2}{Rr}} \( \frac {\pi}{2}-\frac {\pi}{180}\phi_2 \} = 0 $$ (2) As the angle of steering direction was increased, the critical travelling veloc\ulcornerities of side sliding and dynamic side overturn were decreased. (3) The critical travelling velocity was influenced by both the side slope angle .and the direct angle. In case of no collision with an obstacle, the critical velocity $V_c$ was 2.76-4.83m/sec at $\alpha=0^\circ$, $\beta=20^\circ$ ; and in case of collision with an obstacle, the critical velocity $V_{cc}$ was 1.39-1.5m/sec at $\alpha=0^\circ$, $\beta=20^\circ$ (4) In case of no collision with an obstacle, the dynamic side overturn was stimu\ulcornerlated by the carrying load but in case of collision with an obstacle, the danger of the dynamic side overturn was decreased by the carrying load. (5) When the system travels downward with the first set of high speed the limit {)f slope angle of side sliding was $\beta=5^\circ-10^\circ$ and when travels upward with the first set of high speed, the limit of angle of side sliding was $\beta=10^\circ-17.4^\circ$ (6) In case of running downward with the first set of high speed and collision with an obstacle, the limit of slope angle of the dynamic side overturn was = $12^\circ-17^\circ$ and in case of running upward with the first set of high speed and collision <>f upper wheels with an obstacle, the limit of slope angle of dynamic side overturn collision of upper wheels against an obstacle was $\beta=22^\circ-33^\circ$ at $\alpha=0^\circ -17.4^\circ$, respectively. (7) In case of running up and downward with the first set of high speed and no collision with an obstacle, the limit of slope angle of dynamic side overturn was $\beta=30^\circ-35^\circ$ (8) When the power tiller without implement attached travels up and down on the general slope ground with first set of high speed, the limit of slope angle of dynamic side overturn was $\beta=32^\circ-39^\circ$ in case of no collision with an obstacle, and $\beta=11^\circ-22^\circ$ in case of collision with an obstacle, respectively.

• Journal of Embryo Transfer
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• v.20 no.3
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• pp.239-253
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• 2005

Serum concentrations of Hanwoo steers and bulls as possible indicators of beef quality were analyzed to estimate their correlations with carcass traits. Blood samples were taken 2 months and right before shipping to abattoir and at the time of slaughter. And phenotypic correlation coefficients between serum concentrations and carcass traits were estimated. Beef yield index of steers was positively correlated with serum concentrations of total Protein (0.23), albumin (0.26), and calcium (0.31). But it was negatively co..elated with BUN (-0.30). Loin eye area was positively correlated with BUN (0.17) or with globulin (0.16). Back fat thickness was positively correlated with BUN (0.42) and inorganic phosphorus (0.20) being negatively correlated with total protein (-0.23), albumin (-0.33) and calcium (-0.33). Marbling score in the scale of 1 (scarcely marbled) through 9 (extremely marbled) was positively correlated with BUN (0.28) and negatively with IGF-I and calcium concentrations. Phenotype correlation coefficient of loin eye area with total protein concentration in the serum taken from steers right before shipment was estimated to be -0.16 and that with BUN was estimated to be -0.15. Serum concentrations of IGF, glucose, creatinine and on organic phosphorus from steers measured right before shipment were negatively correlated with respective correlation coefficient estimates as -0.21, -0.21, -0.19 and -0.18. Marbling score was negatively co..elated with serum creatinine (-0.16) measured at that time. Beef yield index of steers was positively correlated (0.31) with age adjusted calcium concentration in the serum taken at the time of slaughter. Correlation between body weight and BUN at slaughter was 0.17 At slaughter, loin eye area was negatively correlated with albumin (-0.19) and back fat thickness was also negatively correlated with age adjusted calcium concentration (-0.38). Marbling was negatively correlated with age adjusted calcium concentration(-0.17). Serum concentrations of testosterone, calcium and inorganic phosphorus taken in 2 months before slaughter were negatively but highly correlated with yield index(0.71, 0.67 and -0.71), respectively. Body weight at slaughter was positively was negatively correlated (0.67) with calcium level while dressing percentage was negatively (-0.69) correlated with serum glucose concentration, 2 months prior to slaughter. Correlation coefficients between back fat thickness and cortisol, between back fat thickness and inorganic phosphate were both positive (0.29 and 0.69). Marbling score was negatively correlated with creatinine (-0.81) and positively with BUN (0.87). Body weight loss during shipping was positively correlated with albumin and inorganic phosphate (0.77, 0.83). Yield index of bulls was positively correlated with serum testosterone concentration (0.66). Dressing percentage was positively and highly correlated with globulin (0.73). Back fat thickness of bulls, however, was negatively correlated with testosterone (-0.60). Loin eye area of bull carcasses was positively correlated with testosterone (0.40). Mar-blaine was negatively co..elated with creatinine (-0.55). Yield index of bulls and age adjusted HDLC concentration at slaughter was negatively correlated (-0.71). Dressing percentage of bulls was positively and highly correlated with globulin concentration (0.70). Back fat thickness was also positively correlated with HDLC (0.69) in the serum taken at slaughter. Correlation coefficients between carcass weight and triglyceride, between loin eye are and testosterone and between marbling score and creatinine or glucose were 0.51, -0.91 and -0.58, respectively.