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The objective of this study was to evaluate the predictions of dry matter intake (DMI) and average daily gain (ADG) of Vietnamese Yellow (Vang) purebred and crossbred (Vang with Red Sindhi or Brahman) bulls fed under Vietnamese conditions using two levels of solution (1 and 2) of the large ruminant nutrition system (LRNS) model. Animal information and feed chemical characterization were obtained from five studies. The initial mean body weight (BW) of the animals was 186, with standard deviation ±33.2 kg. Animals were fed ad libitum commonly available feedstuffs, including cassava powder, corn grain, Napier grass, rice straw and bran, and minerals and vitamins, for 50 to 80 d. Adequacy of the predictions was assessed with the Model Evaluation System using the root of mean square error of prediction (RMSEP), accuracy (Cb), coefficient of determination (r²), and mean bias (MB). When all treatment means were used, both levels of solution predicted DMI similarly with low precision (r² of 0.389 and 0.45 for level 1 and 2, respectively) and medium accuracy (Cb of 0.827 and 0.859, respectively). The LRNS clearly over-predicted the intake of one study. When this study was removed from the comparison, the precision and accuracy considerably increased for the level 1 solution. Metabolisable protein was limiting ADG for more than 68% of the treatment averages. Both levels differed regarding precision and accuracy. While level 1 solution had the least MB compared with level 2 (0.058 and 0.159 kg/d, respectively), the precision was greater for level 2 than level 1 (0.89 and 0.70, respectively). The accuracy (Cb) was similar between level 1 and level 2 (p = 0.8997; 0.977 and 0.871, respectively). The RMSEP indicated that both levels were on average under- or over-predicted by about 190 g/d, suggesting that even though the accuracy (Cb) was greater for level 1 compared to level 2, both levels are likely to wrongly predict ADG by the same amount. Our analyses indicated that the level 1 solution can predict DMI reasonably well for this type of animal, but it was not entirely clear if animals consumed at their voluntary intake and/or if the roughness of the diet decreased DMI. A deficit of ruminally-undegradable protein and/or a lack of microbial protein may have limited the performance of these animals. Based on these evaluations, the LRNS level 1 solution may be an alternative to predict animal performance when, under specific circumstances, the fractional degradation rates of the carbohydrate and protein fractions are not known.

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기사명 저자명 페이지 원문 목차
Determination of genetic diversity among Korean Hanwoo cattle based on physical characteristics T.J. Choi, S.S. Lee, D.H. Yoon, H.S. Kang, C.D. Kim, I.H. Hwang, C.Y. Kim, X. Jin, C.G. Yang, K.S. Seo pp.1205-1215

Somatic cells count and its genetic association with milk yield in dairy cattle raised under Thai tropical environmental conditions D. Jattawa, S. Koonawootrittriron, M.A. Elzo, T. Suwanasopee pp.1216-1222

Effect of population reduction on mtDNA diversity and demographic history of Korean cattle populations Hailu Dadi, Seung-Hwan Lee, Kyoung Sup Jung, Jae Won Choi, Moon-Suck Ko, Young-Joon Han, Jong-Joo Kim, Kwan-Suk Kim pp.1223-1228

Effects of kisspeptin-10 on lipid metabolism in cultured chicken hepatocytes J. Wu, W. Fu, Y. Huang, Y. Ni pp.1229-1236

Evaluation of a nutrition model in predicting performance of Vietnamese cattle David Parsons, Nguyen Huu Van, Aduli E.O. Malau-Aduli, Nguyen Xuan Ba, Le Dinh Phung, Peter A. Lane, Le Duc Ngoan, Luis O. Tedeschi pp.1237-1247

Theeffects of additives in napier grass silages on chemical composition, feed intake, nutrient digestibility and rumen fermentation Smerjai Bureenok, Chalermpon Yuangklang, Kraisit Vasupen, J. Thomas Schonewille, Yasuhiro Kawamoto pp.1248-1254

Effects of probiotic and prebiotic on average daily gain, fecal shedding of Escherichia coli, and immune system status in newborn female calves Pezhman Mohamadi Roodposhti, Najafgholi Dabiri pp.1255-1261

Effect of vitamin E supplementation on hematological and plasma biochemical parameters during long term exposure of arsenic in goats Tapan Kumar Das, Veena Mani, Harjit Kaur, Neelam Kewalramani, Anjali Agarwal pp.1262-1268

Soluble non-ammonia nitrogen in ruminal and omasal digesta of Korean native steers supplemented with soluble proteins C.W. Choi, K.H. Kim, S.S. Chang, N.J. Choi pp.1269-1275

Hematological responses, survival, and respiratory exchange in the olive flounder, Paralichthys olivaceus, during starvation I.-S. Park, J.W. Hur, J.W. Choi pp.1276-1284

TheBacillus subtilis and lactic acid bacteria probiotics influences intestinal mucin gene expression, histomorphology and growth performance in broilers H.R. Aliakbarpour, M. Chamani, G. Rahimi, A.A. Sadeghi, D. Qujeq pp.1285-1293

Evaluation of the effect of low dietary fermentable carbohydrate content on growth performance, nutrient digestibility, blood characteristics, and meat quality in finishing pigs S.M. Hong, J.H. Hwang, I.H. Kim pp.1294-1299

Effect of 24 h fasting on gene expression of AMPK, appetite regulation peptides and lipometabolism related factors in the hypothalamus of broiler chicks Liu Lei, Zhu Lixian pp.1300-1308

Influences of phytoncide supplementation on growth performance, nutrient digestibility, blood profiles, diarrhea scores and fecal microflora shedding in weaning pigs S. Zhang, J.H. Jung, H.S. Kim, B.Y. Kim, I. H. Kim pp.1309-1315

Theregulation of chemerin and CMKLR1 genes expression by TNF-α, adiponectin, and chemerin analog in bovine differentiated adipocytes Y. Suzuki, Y.H. Hong, S.H. Song, A. Ardiyanti, D. Kato, K.H. So, K. Katoh, S.G. Roh pp.1316-1321

Increases of antibiotic resistance in excessive use of antibiotics in smallholder dairy farms in northern Thailand W. Suriyasathaporn, V. Chupia, T. Sing-Lah, K. Wongsawan, R. Mektrirat, W. Chaisri pp.1322-1328

Effects of purple-fleshed sweet potato(Ipomoera batatas cultivar ayamurasaki) powder addition on color and texture properties and sensory characteristics of cooked pork sausages during storage Sang-Keun Jin, Yeong-Jung Kim, Jae Hong Park, In-Chul Hur, Sang-Hae Nam, Daekeun Shin pp.1329-1337

Nutrition-induced changes of growth from birth to first calving and its impact on mammary development and first-lactation milk yield in dairy heifers : a review J.D. Lohakare, K.-H. Südekum, A.K. Pattanaik pp.1338-1350

참고문헌 (46건) : 자료제공( 네이버학술정보 )

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번호 참고문헌 국회도서관 소장유무
1 AOAC, 2000. Official methods of analysis of AOAC International. 17th edn. Association of Official Analytical Chemists, Arlington, VA. 미소장
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3 Ba, N. X., N. H. Van, L. D. Ngoan, C. M. Leddin and P. T. Doyle. 2008a. Effects of amount of concentrate supplement on forage intake, diet digestibility and live weight gain in Yellow cattle in Vietnam. Asian-Aust. J. Anim. Sci. 21:1736-1744. 미소장
4 Ba, N. X., N. H. Van, L. D. Ngoan, C. M. Leddin and P. T. Doyle. 2008b. Amount of cassava powder fed as supplement affects feed intake and live weight gain in Laisind cattle in Vietnam. Asian-Aust. J. Anim. Sci. 21:1143-1150. 미소장
5 Ba, N. X., D. V. Dung, N. H. Van, L. D. Phung, L. D. Ngoan and V. C. Cuong. 2010a. Effects of crude protein levels in concentrate on meat yield and quality of Vietnamese Yellow cattle. Journal of Animal Husbandry Sciences and Technics 11:22-27. 미소장
6 Ba, N. X., D. V. Dung, N. H. Van, L. D. Phung, L. D. Ngoan and V. C. Cuong. 2010b. Effects of amount of concentrate supplement on live weight gain and meat quality of Vietnamese Yellow cattle. Journal of Science and Technology 27:37-44. 미소장
7 Ba, N. X., N. H. Van, L. D. Phung, L. V. Phuoc, D. V. Dung, N. H. Nguyen and B. Q. Tuan. 2008c. Effects of some factors on the use of agricultural by-products for ruminants in Quang Ngai province. Hue University Journal of Science 46:17-25. 미소장
8 Deposition and distribution of carcass fat for steers differing in frame size and muscle thickness. 네이버 미소장
9 Berg, R. T., B. B. Andersen and T. Liboriussen. 1978a. Growth of bovine tissues 1. Genetic influences on growth patterns of muscle, fat and bone in young bulls. Anim. Sci. 26:245-258. 미소장
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11 Conrad, H. R., W. P. Weiss, W. O. Odwongo and W. L. Shockey. 1984. Estimating net energy lactation from components of cell solubles and cell walls. J. Dairy Sci. 67:427-436. 미소장
12 Detmann, E., S. C. Valadares Filho, D. S. Pina, L. T. Henriques, M. F. Paulino, K. A. Magalhães, P. A. Silva and M. L. Chizzotti. 2008. Prediction of the energy value of cattle diets based on the chemical composition of the feeds under tropical conditions. Anim. Feed Sci. Technol. 143:127-147. 미소장
13 Understanding interactions between forages and concentrates is important for formulating feeding strategies for growing cattle in central Vietnam 네이버 미소장
14 Du, J., Y. Liang, H. Xin, F. Xue, J. Zhao, L. Ren and Q. Meng. 2010. Evaluation of dry matter intake and average daily gain predicted by the Cornell Net Cabohydrate and Protein System in crossbred growing bulls kept in a traditionally confined feeding system in China. Asian-Aust. J. Anim. Sci. 23:1445-1454. 미소장
15 Ellis, W. C., J. H. Matis, T. M. Hill and M. R. Murphy. 1994. Methodology for estimating digestion and passage kinetics of forages. In: Forage quality, evaluation, and utilization (Ed. G. C. Fahey Jr., M. Collins, D. R. Mertens and L. E. Moser). American Society of Agronomy, Madison, WI. pp. 682-756. 미소장
16 Determination of carcass and body fat compositions of grazing crossbred bulls using body measurements. 네이버 미소장
17 Fox, D. G., L. O. Tedeschi, T. P. Tylutki, J. B. Russell, M. E. Van Amburgh, L. E. Chase, A. N. Pell and T. R. Overton. 2004. The Cornell Net Carbohydrate and Protein System model for evaluating herd nutrition and nutrient excretion. Anim. Feed Sci. Technol. 112:29-78. 미소장
18 General Statistics Office. 2010. Statistical yearbook of Vietnam 2009. Statistical Publishing House, Hanoi, Vietnam. 미소장
19 Predicting individual feed requirements of cattle fed in groups. 네이버 미소장
20 Harmon, D. L. 2009. Understanding starch utilization in the small intestine of cattle. Asian-Aust. J. Anim. Sci. 22:915-922. 미소장
21 Johnson, H., R. Butterfield and W. Pryor. 1972. Studies of fat distribution in the bovine carcass: 1. The partition of fatty tissues between depots. Aust. J. Agric. Res. 23:381-388. 미소장
22 Jones, S. D. M., M. A. Price and R. T. Berg. 1980. Fattening patterns in cattle: 2. Fat distribution among the wholesale cuts. Can. J. Anim. Sci. 60:851-856. 미소장
23 Licitra, G., T. M. Hernandez and P. J. Van Soest. 1996. Standardization of procedures for nitrogen fractionation of ruminant feeds. Anim. Feed Sci. Technol. 57:347-358. 미소장
24 McPhee, M. J., J. W. Oltjen, J. G. Fadel, D. Perry and R. D. Sainz. 2008. Development and evaluation of empirical equations to interconvert between twelfth-rib fat and kidney, pelvic, and heart fat respective fat weights and to predict initial conditions of fat deposition models for beef cattle. J. Anim Sci. 86:1984-1995. 미소장
25 Mertens, D. R. 1997. Creating a system for meeting the fiber requirements of dairy cows. J. Dairy Sci. 80:1463-1481. 미소장
26 National Research Council. 2000. Nutrient requirements of beef cattle. 7th edn. National Academy Press, Washington, DC, USA. 미소장
27 Offer, N. W. and J. Dixon. 2000. Factors affecting outflow rate from the reticulo-rumen. Nutrition Abstracts and Reviews. Series B: Livestock Feeds and Feeding 70:833-844. 미소장
28 Assessment of the adequacy of mathematical models 네이버 미소장
29 Accounting for the effects of a ruminal nitrogen deficiency within the structure of the Cornell Net Carbohydrate and Protein System. 네이버 미소장
30 Tedeschi, L. O., D. G. Fox and P. J. Guiroy. 2004. A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth. Agric. Syst. 79:171-204. 미소장
31 Tedeschi, L. O., D. G. Fox and P. H. Doane. 2005a. Evaluation of the tabular feed energy and protein undegradability values of the National Research Council nutrient requirements of beef cattle. Prof. Anim. Scient. 21:403-415. 미소장
32 Tedeschi, L. O., D. G. Fox, G. E. Carstens and C. L. Ferrell. 2010. The partial efficiency of use of metabolizable energy to net energy for growth in ruminants. In: 3rd International Symposium on Energy and Protein Metabolism and Nutrition (Ed. G. M. Crovetto), Wageningen Academic Publishers. pp. 519-529. 미소장
33 Development and evaluation of a tropical feed library for the Cornell net carbohydrate and protein system model 네이버 미소장
34 Tedeschi, L. O., D. G. Fox, R. D. Sainz, L. G. Barioni, S. R. Medeiros and C. Boin. 2005b. Using mathematical models in ruminant nutrition. Scientia Agricola. 62:76-91. 미소장
35 Predicting net energy and protein requirements for growth of implanted and nonimplanted heifers and steers and nonimplanted bulls varying in body size. 네이버 미소장
36 Van, N. H., N. H. Nguyen and N. X. Ba. 2012. Study on utilization of high protein concentrates for Brahman crossed beef during fattening period. Hue University Journal of Science 71:319-332. 미소장
37 Van, N. H., N. X. Ba, L. D. Ngoan and P. T. Doyle. 2008. On-farm testing of supplementary feeding strategies for cattle finishing in Vietnam., Proceedings of the XIII AAAP Animal Science Congress. Animal Husbandry Association of Vietnam (AHAV). p. 70. 미소장
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40 Vieira, R. A. M., L. O. Tedeschi and A. Cannas. 2008b. A generalized compartmental model to estimate the fibre mass in the ruminoreticulum: 2. Integrating digestion and passage. J. Theor. Biol. 255:357-368. 미소장
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42 Wang, Y. H., N. I. Bower, A. Reverter, S. H. Tan, N. De Jager, R. Wang, S. M. McWilliam, L. M. Cafe, P. L. Greenwood and S. A. Lehnert. 2009. Gene expression patterns during intramuscular fat development in cattle. J. Anim Sci. 87:119-130. 미소장
43 Weiss, W. P. 1993. Predicting energy values of feeds. J. Dairy Sci. 76:1802-1811. 미소장
44 Weiss, W. P., H. R. Conrad and N. R. St. Pierre. 1992. A theoretically-based model for predicting total digestible nutrient values of forages and concentrates. Anim. Feed Sci. Technol. 39:95-110. 미소장
45 Zebeli, Q., M. Tafaj, H. Steingass, B. Metzler and W. Drochner. 2006. Effects of physically effective fiber on digestive processes and milk fat content in early lactating dairy cows fed total mixed rations. J. Dairy Sci. 89:651-668. 미소장
46 Evaluation 네이버 미소장

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