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Estimation of Rumen Microbial Protein Supply Using Urinary Purine Derivatives Excretion in Crossbred Calves Fed at Different Levels of Feed Intake

  • Singh, M. (Animal Nutrition Division, Indian Veterinary Research Institute) ;
  • Sharma, K. (Animal Nutrition Division, Indian Veterinary Research Institute) ;
  • Dutta, N. (Animal Nutrition Division, Indian Veterinary Research Institute) ;
  • Singh, P. (Animal Nutrition Division, Indian Veterinary Research Institute) ;
  • Verma, A.K. (Animal Nutrition Division, Indian Veterinary Research Institute) ;
  • Mehra, U.R. (Animal Nutrition Division, Indian Veterinary Research Institute)
  • Received : 2006.10.04
  • Accepted : 2007.02.07
  • Published : 2007.10.01

Abstract

A study was carried out to study the response of total purine derivatives (PD) excretion in urine to determine microbial N (MN) supply at four fixed levels of feed intake (namely 95, 80, 60 and 40% of voluntary intake). The crossbred (CB) calves were allocated according to a $4{\times}4$ Latin Square Design and fed wheat straw and concentrate (1:1). The rate of PD excretion (mmol/d) as a linear function of feed intake was 15.85/kg DMI and 20.12/kg DOMI. Based on the endogenous and PD excretion rates obtained in this study, a relationship between daily urinary PD excretion (Y, mmol) and daily microbial protein supply (X, mmol) was developed for crossbred calves as Y = 0.83X+0.296 kg $W^{0.75}$. The derived microbial N values using this equation differed (p<0.001) among the 4 groups and was the highest in L-95 followed by L-80, L-60 and L-40. The relationship between urinary nitrogen loss (Y, g/d) and DOMI (X, kg/d) was established as: Y = 6.038X+21.753 ($r^2$ = 0.663, p<0.01). When urinary excretion of PD (Y, mmol/d) was plotted against intake of DM and DOM (X, kg/d), the equations obtained were: Y = 7.1711X+8.674 ($r^2$ = 0.889, p<0.01) and Y = 12.434X+7.683 ($r^2$ = 0.896, p<0.01), respectively. The proportional contribution of allantoin and uric acid to total PD remained stable irrespective of level of feed intake. Similarly, urinary excretion of creatinine did not differ (p>0.05) between animals fed at different levels. The MN supply was the highest to animals at intake levels L-95, and decreased linearly with corresponding decrease in feed intake. However, the MN supply when expressed per kg DOMI remained statistically (p>0.05) similar irrespective of level of intake. The results revealed that the excretion of urinary purine derivatives were positively correlated with the level of feed intake as well as rumen microbial supply and thus it could be a good indicator for measuring the microbial protein supply and nutritional status of animals.

Keywords

References

  1. AOAC. 1995. Official methods of analysis (16th ed., Vol. I) Association of Official Analytical Chemists. Washington, DC.
  2. Blummel, M., E. Zerbini, B. V. S. Reddy, C. T. Hash, F. Bidinger and D. Ravi. 2003. Improving the production and utilization of sorghum and pearl millet as livestock feed: methodological problems and solutions. Field Crops Res. 84:123-142. https://doi.org/10.1016/S0378-4290(03)00145-X
  3. Broderick, G. A. and N. R. Merchen. 1992. Markers for quantifying microbial protein synthesis in the rumen. J. Dairy Sci. 75:2618. https://doi.org/10.3168/jds.S0022-0302(92)78024-2
  4. Cetinkaya, N., S. Yaman, A. I. Gucus, H. Ozcan and S. Uluturk. 1999. Measuring microbial protein supply from purine excretion in Yerli Kara cattle in Turkey. In: Nuclear based technologies for estimating microbial protein supply in ruminant livestock, Proceedings of the second Research Coordination Meeting of a Co-ordinated Research Project (phase 1), Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, IAEA-TECDOC-1093, IAEA, Vienna. pp. 69-79.
  5. Chen, X. B. and M. J. Gomes. 1992. Estimation of microbial protein supply to sheep and cattle based on urinary excretion of purine derivatives- An overview of the technical details. Rowett Research Institue. University of Aberdeen, UK.
  6. Chen, X. B., G. Grubic, E. R. Orskov and P. Osuji. 1992. Effect of feeding frequency on diurnal variation in plasma and urinary purine derivatives in steers. Anim. Prod. 55:185-191. https://doi.org/10.1017/S0003356100037442
  7. Chen, X. B. and E. R. Orskov. 2003. Research on urinary excretion of purine derivatives in ruminants: past and future. Development, standardization and validation of nuclear based technologies for estimating microbial protein supply in ruminant livestock for improving productivity (Ed. H. P. S. Makkar) IAEA-2003, Vienna.
  8. Chen, X. B., A. T. Mejia, D. J. Kyle and E. R. Orskov. 1995. Evaluation of the use of the purine derivative: creatinine ratio in spot urine and plasma samples as an index of microbial protein supply in ruminants: studies in sheep. J. Agric. Sci.(Camb). 125:137-143. https://doi.org/10.1017/S002185960007458X
  9. Chen, X. B., F. D. DeB Hovell, E. R. Orskov and D. S. Brown. 1990. Excretion of purine derivatives by ruminants:effect of exogenous nucleic acid supply on purine derivatives excretion in sheep. Br. J. Nutr. 63:131-142. https://doi.org/10.1079/BJN19900098
  10. Crampton, E. E., E. Doenfer and L. E. Loyd. 1960. A nutritive value index for forages. J. Anim. Sci. 19:538-544. https://doi.org/10.2527/jas1960.192538x
  11. Dipu, M. T., S. K. George, P. Shingh, A. K. Verma and U. R. Mehra. 2006. Measurement of Microbial Protein Supply in Murrah Buffaloes (Bubalus bubalis) Using Urinary Purine Derivatives Excretion and PDC Index. Asian-Aust. J. Anim. Sci. 19:347-355. https://doi.org/10.5713/ajas.2006.347
  12. Dutta, N., K. Sharma and Q. Z. Hasan. 1999. Effect of supplementation of rice straw with Leucaena leucocephala and Prsopis cineracis leaves on nutritional utilization by goats. Asian-Aust. J. Anim. Sci. 12:742-746. https://doi.org/10.5713/ajas.1999.742
  13. George, S. K., M. T. Dipu, U. R. Mehra, A. K. Verma and P. Singh. 2006. Influence of Level of Feed Intake on Concentration of Purine Derivatives in Urinary Spot Samples and Microbial Nitrogen Supply in Crossbred Bulls. Asian-Aust. J. Anim. Sci. 19:1291-1297. https://doi.org/10.5713/ajas.2006.1291
  14. Hall, A., M. Blummel, W. Thorpe, F. R. Bidinger and C. T. Hash. 2004. Sorghum and pearl millet as food crops in India. Anim. Nutr. Feed Technol. 4:1-15
  15. Hawk, P. B., B. L. Oser and W. H. Summerson. 1976. Practical Physiological Chemistry (14th edn). pp. 506-509.
  16. International Atomic Energy Agency (IAEA). 1997. Estimation of rumen microbial protein production from purine derivatives in urine. A laboratory manual for FAO/IAEA Co-ordinated Research Programme. IAEA-TECDOC-945, IAEA, Vienna.
  17. International Atomic Energy Agency (IAEA). 1999. Nuclear based technologies for estimating microbial protein supply in ruminant livestock, Proceedings of the second. Research Coordination Meeting of a Co-ordinated Research Project (phase 1) organised by the Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture and held in Vienna, 24-28 August 1998. IAEA-TECDOC-1093, IAEA, Vienna.
  18. International Atomic Energy Agency (IAEA). 2000. Report of IIIrd Research Co-ordination committee Meeting, International Atomic Energy Agency (IAEA), Malaysia.
  19. International Atomic Energy Agency (IAEA). 2002. Report of Final Research Co-ordination committee Meeting, International Atomic Energy Agency (IAEA), Vietnam.
  20. Kaneko, J. J., J. W. Harvey and M. L. Bruss. 1997. Clinical Biochemistry of Domestic Animals. 5th ed., Harcourt Brace and Company Asia Pte. Ltd., Singapore.
  21. Kanjanpruthipong, J. and R. A. Leng. 1998. Purine derivatives excreted in urine as an indicator estimating microbial yield from the rumen: A review. Asian-Aust. J. Anim. Sci. 11:209-216. https://doi.org/10.5713/ajas.1998.209
  22. Liang, J. B., O. Pimpa, N. Abdullah, Z. A. Jelan and J. V. Nolan. 1999. Estimation of rumen microbial protein production from urinary purine derivatives in Zebu cattle and water buffalo. In: Nuclear based technologies for estimating microbial protein supply in ruminant livestock, Proceedings of the second Research Co-ordination Meeting of a Co-ordinated Research Project (phase 1), Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, IAEA-TECDOC-1093, IAEA, Vienna. pp. 35-42.
  23. Martin-orue, S. M., J. Balcells, J. A. Guada and M. Fondevila. 2000. Microbial nitrogen production in growing heifers: direct measurement of duodenal flow of purine bases versus urinary excretion of purine derivatives as estimation procedures. Anim. Feed Sci. Technol. 88:171-188. https://doi.org/10.1016/S0377-8401(00)00221-2
  24. McDonald, P., R. A. Edwards, J. F. D. Greenhalgh and C. A. Morghan. 1995. In Animal nutrition. 5th edn., Longman Scientific and technical, NewYork, USA.
  25. Snedecor, G. W. and W. G. Cochran. 1994. Statistical methods. 8th edn., Iowa State Univ., Iowa (USA)
  26. Soejono, M., L. M. Yusiati, S. P. S. Budhi and B. P. Widyobroto. 1999. Estimating rumen microbial protein supply for indigenous ruminants using nuclear and purine excretion techniques in Indonesia. In: Nuclear based technologies for estimating microbial protein supply in ruminant livestock, Proceedings of the second Research Co-ordination Meeting of a Co-ordinated Research Project (phase 1), Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, IAEA-TECDOC-1093, IAEA, Vienna. pp. 43-58.
  27. Susmel, P., B. Stefenanon, E. Planzzotta, M. Spanghero and C. R. Mills. 1994. The effect of energy and prorein intake on excrection of purines derivatives. J. Agric. Sci. (Camb). 123:257-265. https://doi.org/10.1017/S0021859600068532
  28. Van Soest, P. J. 1994. Nutritional Ecology of the Ruminant. Comstock University Press, Ythaca, NY. p. 476.
  29. Verbic, J., X. B. Chen, N. A. MacLeod and E. R. Orskov. 1990. Excretion of purine derivatives by ruminants: effects of microbial nucleic acids infusion on purine derivative excretion by steers. J. Agric. Sci. (Camb). 114:243-248. https://doi.org/10.1017/S0021859600072610
  30. White, A., P. Handler and E. L. Smith. 1968. Principles of Biochemistry. 4th edn. McGraw-Hill Book Company. NewYork. pp. 828-829.

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