• Asian-Australasian Journal of Animal Sciences
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• v.11 no.1
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• pp.17-20
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• 1998

Sixteen local sheep (8 male + 8 female) of about six months old with average live weight 10.78 $({\pm}1.11)$ kg were allocated into four treatments. The treatments (T) are : $T_0$ = Restricted grazing without concentrate; $T_1$, $T_2$ and $T_3$ = Grazing + 100, 200 and 300 g concentrate per sheep daily. Live weight of grazing (7.30 hrs daily) sheep was recorded in each week. The uncastrated male sheep were slaughtered for carcass and non-carcass parameters. Statistically significant (p < 0.05) differences were observed in live weight gain (g/day) among the treatments ($T_0=15.71$; $T_1=22.66$; $T_2 =32.66$ and $T_3=40.47$). The dressing % were : ($T_0=32.75$, $T_1=38.50$, $T_2=36.90 $ and $T_3=37.75$). The warm carcass weight represented 37.21% of live weight. Significant (p < 0.01) correlation were observed for live weight with carcass weight (r = 0.99) and dressing % (r = 0.88). Concentrate supplement increase live weight gain in sheep on grazing. Live weight is a good indicator to assess carcass characteristics.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.5
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• pp.684-687
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• 2004

A study was conducted to determine the effect of live weight of pheasants on egg production and egg quality characteristics. A total of 48 ring-necked pheasants were divided into control, heavy, middle and light BW groups. Live weights of the control were 1,187 g, 1,352.92 g for heavy group, 1,247.92 g for middle group and 1,003.33 g for light group. Egg production of groups were found as 47.32, 42.82, 45.79 and 46.51% respectively, in 10 weeks of period. There were no statistical differences on egg production among the groups. The effect of live weight on egg weight, shape index, specific gravity, shell weight, shell thickness, Haugh Unit, yolk weight and albumen weight were found statistically significant (p<0.05). The effect of live weight on albumen index, membrane weight and membrane thickness were found not important (p>0.05). On the other hand, other important factors to be effective on the egg quality of pheasants should be investigated. As a result of this study, live weight of pheasant hens is not an important factor to obtain high egg production in pheasants. But, body conformation of breeding materials should be in good conditions.

• Asian-Australasian Journal of Animal Sciences
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• v.19 no.1
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• pp.13-18
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• 2006

Two different animal models, which differ in whether or not taking maternal genetic effect into account, for estimating genetic parameters of cashmere weight, live body weight, cashmere thickness, staple length, fiber diameter, and fiber length in Inner Mongolia White Cashmere Goat were compared via likelihood ratio test. The results indicate that maternal genetic effect has significant influence on live body weight and cashmere thickness, but no significant influence on the other traits. Using models suitable for each trait, both genetic parameters and trends were analyzed with the MTDFREML program. Heritability estimates from single trait models for cashmere weight, live body weight, cashmere thickness, staple length, fiber diameter and fiber length were found to be 0.30, 0.07, 0.21, 0.29, 0.28 and 0.21, respectively. Genetic correlation estimates from two-trait models between live body weight and all other traits (-0.06~0.07) was negligible, as were those between fiber diameter and all other traits (-0.01~0.03) except cashmere thickness (0.19). Cashmere weight and staple length had moderate to low genetic correlations with other traits (-0.24~0.39 and -0.24~0.34, respectively) except for live body weight and fiber diameter. Cashmere thickness had a strong genetic correlation with fiber length (0.81), and low genetic correlation with other traits (0.19~0.34) except live body weight. Genetic trend analysis suggests that selection for cashmere weight was very effective, which has led to the slow genetic progress of cashmere thickness and fiber length due to their genetic correlations with cashmere weight. The selection for live body weight was not effective, which was consistent with its low inheritability.

• Food Science of Animal Resources
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• v.36 no.3
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• pp.389-396
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• 2016

In order to attain heavier live weight without impairing pork or sensory quality characteristics, carcass performance, muscle fiber, pork quality, and sensory quality characteristics were compared among the heavy weight (HW, average live weight of 130.5 kg), medium weight (MW, average weight of 111.1 kg), and light weight (LW, average weight of 96.3 kg) pigs at time of slaughter. The loin eye area was 1.47 times greater in the HW group compared to the LW group (64.0 and 43.5 cm², p<0.001), while carcass percent was similar between the HW and MW groups (p>0.05). This greater performance by the HW group compared to the LW group can be explained by a greater total number (1,436 vs. 1,188, ×10³, p<0.001) and larger area (4,452 vs. 3,716 μm², p<0.001) of muscle fibers. No significant differences were observed in muscle pH_{45 min}, lightness, drip loss, and shear force among the groups (p>0.05), and higher live weights did not influence sensory quality attributes, including tenderness, juiciness, and flavor. Therefore, these findings indicate that increased live weights in this study did not influence the technological and sensory quality characteristics. Moreover, muscles with a higher number of medium or large size fibers tend to exhibit good carcass performance without impairing meat and sensory quality characteristics.

• Asian-Australasian Journal of Animal Sciences
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• v.14 no.7
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• pp.899-904
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• 2001

A field trial on selection for increased live weight in Black Bengal (BB) goat was conducted over two generations. Parents of both sexes were selected (mass selection) based on mature body weight criteria set against age. A parallel randomly mated line was maintained to compare the response (R) of selection at birth. 3, 6, 9 and 12 months of age in both generations. Lactation yield (LY), average per day yield (APDY) and lactation length (LL) were evaluated in the selected line in comparison to randombreds as a result of correlated response. Live weights were significantly improved at onward bir:th in first generation and only at birth in second generation. Improvements (%) in live weight at 3, 6. 9 and 12 months in first generation were 17.6, 18.4, 16.6, and 12.0 at birth in second generation. Significant correlated R were found in LY and APDY. Results suggest that there may be a positive relationship between live weight and lactational traits in BB goats of Bangladesh. It was also concluded that such a field scheme can be effectively used for genetic improvement of goats in subsistence farming, at least for short term gain.

• Asian-Australasian Journal of Animal Sciences
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• v.5 no.1
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• pp.7-11
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• 1992

Body water compartments in vivo were determined in Holstein cattle with age ranging from 5 to 521 days to obtain an equation to estimate volumes of body water. Live weight ranged from 47 to 480 kg. Compartments were determined as antipyrine space for total body water (TBW), thiocyanate space for extracellular water (ECW) and Evans blue dye space for plasma water (PW). Body water compartments expressed as a percentage of live weight decreased as age in days increased and significantly correlated with age in days. Regression analyses revealed that prediction equations had low accuracy. Regression equations of body water compartments on live weight (WT, kg) were useful for the prediction of body fluid with a high accuracy. Live weight significantly regressed on age in days (Day), which was inferred to be utilized for estimation of standardized live weight in case animals were emaciated by certain causes such as severe diarrhea or dehydration. In conclusion, following equations were presented to estimate body water compartments of cattle in vivo : TBW in liters = $0.556({\pm}0.007)WT+10$, r = 0.993, $SE{\pm}0.7$ ECW in liters = $0.321({\pm}0.008)WT+10$, r = 0.978, $SE{\pm}0.8$ PW in liters = $0.0502({\pm}0.0012)WT+1.6$, r = 0.0983, $SE{\pm}0.1$ WT (kg) = $0.772({\pm}0.018)Day+24$, r = 0.982, $SE{\pm}2.3$.

• Korean Journal of Veterinary Research
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• v.22 no.2
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• pp.91-98
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• 1982

This study was conducted to determine the interrelationship between the weight of various visceral organs and the live weight of Korean native cattle with particular regard to female ones. One hundred and eighty-five of 2 to 6 years and one hundred and fifty-six Korean native cow of over 7 years of age were examined at the Busan slaughter house during the lest quarter of 1979. The results obtained are summarized as follows: 1. The average live weight of 72 years old cows examined was 297.09kg, while these weight of visceral organs such as liver, lung, heart, left kidney, right kidney and spleen being 4301.09, 2165.22, 1355.43, 346.74, 350 and 991.30g, respectively. The length, width and thickness of the spleen were 49.0, 12.92 and 2.95cm, respectively. 2. The average live weight of 3 years old cows examined was 306.56kg, while these weight of visceral organs such as liver, lung, heart, left kidney, right kidney and spleen being 4099.07, 2144.44, 1383.33, 326.85, 325.93 and 964.82g, respectively. The length, width and thickness of the spleen were 43.3, 12.37 and 2.80cm, respectively. 3. The average live weight of 4 years old cows examined was 314.67kg, while these weight of visceral organs such as liver, lung, heart, left kidney, right kidney and spleen being 4186.67, 2292.50, 1392.50, 346.67, 343.33 and 932.50g, respectively. The length, width and thickness of the spleen were 47.01, 12.55 and 3.08cm, respectively. 4. The average live weight of 5 years old cows examined was 328.90kg, while these weight of visceral organs such as liver, lung, hearts left kidney, right kidney and spleen being 4465.32, 2394.35, 1493.55, 370.16, 335.97 and 997.58g, respectively, The length, width and thickness of the spleen were 49.17, 12.76 and 3.16cm, respectively. 5. The average live weight of 6 years old cows examined was 334.97kg, while these weight of visceral organs such as liver, lung, heart, left kidney, right kidney and spleen being 4585.29, 2552.79, 1555.89, 364.70, 373.24 and 985.29g, respectively. The length, width and thickness of the spleen were 48.27, 12.66 and 2.78cm, respectively. 6. The average live weight of 156 cows (over 7 years of age) examined was 344.91kg, while these weight of visceral organs such as liver, lung, heart, left kidney, right kidney and spleen being 4730.77, 2651.44, 1554.39, 407.37, 409.42 and 1101.06g, respectively. The length, width and thickness of the spleen were 51.04, 13.21 and 3.08cm, respectively. 7. Total average live weight of 341 cows (from 2 to 6 and over 7 years of age) examined was 332.44kg, while these weight of visceral organs being 4550.95, 2497.13, 1500.76, 380.18, 382.27 and 1047.98g, respectively. The length, width and thickness of the spleen were 52.01, 12.96 and 3.02cm, respectively. 8. The correlation coefficients between the live weight of 341 cows and their visceral organs were found to be highly significant (P<0.01), except fort for the length of spleen

• Journal of Applied Reliability
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• v.16 no.2
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• pp.90-97
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• 2016

Purpose: Majority of bridges and roads in Gangwon Province have been carrying loads associated with heavy materials such as rocks, mining products, and cement. This location-specific live loads have contributed to the present situation of overloading, compared to other provinces in Korea. However, the bridges in Gangwon province are designed by national bridge design specification, without considering the location-specific live load characteristics. Therefore, this study focuses on the real traffic data accumulated on regional weighing station to verify the live load characteristics, including actual live load gross vehicle weight, axle weight axle spacings, and number of trucks. Methods: In order to take into account the location specific live load, a governmental weigh station (38th national highway Miro) have been selected and the passing truck data are processed. Based on the truck survey, trucks are categorized into 3 different shapes, and each shape has been idealized into normal distribution. Then, the resulting survey data are processed to predict the target maximum live load values, including the axle loads and gross vehicle weights in 75 years service life span. Results: The results are compared to the nationally used DB-24 live loads, and the results show that nationally recognized DB-24 live load does not sufficiently represent real traffic in mountaineous region in Gangwon province. Conclusion: The comparison results in the recommendation of location-specific live load that should be taken into account for bridge design and evaluation.

• Asian-Australasian Journal of Animal Sciences
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• v.3 no.4
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• pp.263-267
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• 1990

The fat thicknesses of twenty-eight Japanese Black beef steers were measured with an ultrasonic device at eleven points on the cattle prior to slaughter and side dissection. The relation between live fat thickness and both weight and percentage of fat and lean in the carcass was examined. Fat thickness obtained from nine points of the chest, flank and rump regions was found to relate significantly (P<0.01) to both weight and percentage of fat. However, shoulder fat thickness measurements were not significantly related to the weight or percentage of fat or lean in the carcass. Addition of live fat thickness to animal age or live weight as an independent variable markedly improved the precision of multiple regression equations for predicting weight of fat and lean, and percentage of fat. In predicting the percentage of lean, both animal age and body weight were not employed in the multiple regression equation. The residual standard deviation for predicting percentage of fat and lean were 1.93 and 1.87, respectively. The ultrasonic measurement of fat thickness if supposed to be useful to the prediction of carcass composition of beef cattle.

• Smart Structures and Systems
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• v.30 no.2
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• pp.145-157
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• 2022

The design of safe and economical structures depends on the reliable live load from load survey. Live load surveys are traditionally conducted by randomly selecting rooms and weighing each item on-site, a method that has problems of low efficiency, high cost, and long cycle time. This paper proposes a deep learning-based method combined with Internet big data to perform live load surveys. The proposed survey method utilizes multi-source heterogeneous data, such as images, voice, and product identification, to obtain the live load without weighing each item through object detection, web crawler, and speech recognition. The indoor objects and face detection models are first developed based on fine-tuning the YOLOv3 algorithm to detect target objects and obtain the number of people in a room, respectively. Each detection model is evaluated using the independent testing set. Then web crawler frameworks with keyword and image retrieval are established to extract the weight information of detected objects from Internet big data. The live load in a room is derived by combining the weight and number of items and people. To verify the feasibility of the proposed survey method, a live load survey is carried out for a meeting room. The results show that, compared with the traditional method of sampling and weighing, the proposed method could perform efficient and convenient live load surveys and represents a new load research paradigm.