Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-29T21:42:06.657Z Has data issue: false hasContentIssue false

Varietal differences in the chemical composition and in vitro digestibility of rice straw

Published online by Cambridge University Press:  27 March 2009

J. Vadiveloo
Affiliation:
Institute of Advanced Studies, University of Malaya, 59100 Kuala Lumpur, Malaysia

Summary

Four varieties of rice straw, MRl, MR71, MR84 and MR27, were separated into the following botanical fractions; inflorescence, stem, leaf blade and leaf sheath. The relative proportion of each fraction in whole straw was estimated and analysed for its chemical composition and in vitro digestibility (IVD). The composition and IVD of whole straw was then calculated. Cluster analysis showed that MRl was distinct from the other varieties. This could be attributed to a high proportion of stem (32·3%), high IVD (36·9%), low insoluble ash (4·0%) and a low silica content (2·7%) in the whole straw. The genetic distance between any two varieties ranged from 5·4 × 10-3 to 47·8 × 10-3 and was largest between MRl and the other varieties. Cluster analysis also showed that within a variety, the chemical composition and IVD of the stem, leaf blade and leaf sheath were similar, suggesting that sampling errors may be reduced if the inflorescence, which comprises 7–13% of the whole straw, is excluded when the material is analysed. Stepwise and canonical discriminant analyses indicated that the important variables to be measured when comparing straw varieties were IVD, crude protein and insoluble ash.

Type
Crops and Soils
Copyright
Copyright © Cambridge University Press 1992

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Aldenderfer, M. S. & Blashfield, R. K. (1984). Cluster Analysis. Sage University Paper No 44. Beverley Hills: Sage Publications.CrossRefGoogle Scholar
AOAC (1984). Official Methods of Analysis. Washington, DC: Association of Official Analytical Chemists.Google Scholar
Blalock, H. M. (1972). Social Statistics. New York: McGraw Hill.Google Scholar
Blumenthal, M. J., O'Rourke, P. K., Hilder, T. B. & Williams, R. J. (1989). Classification of the Australian collection of the legume Macrotyloma. Australian Journal of Agricultural Research 40, 591604.CrossRefGoogle Scholar
Bray, J. H. & Maxwell, S. E. (1985). Multivariate Analysis of Variance. Sage University Paper No 54. Beverley Hills: Sage Publications.CrossRefGoogle Scholar
Capper, B. S. (1988). Genetic variation in the feeding value of cereal straw. Animal Feed Science and Technology 21, 127140.CrossRefGoogle Scholar
Doyle, P. T., Devendra, C. & Pearce, G. R. (1986). Rice Straw as a Ruminant Feed. Canberra: International Development Press.Google Scholar
Erickson, D. O., Meyer, D. W. & Foster, A. E. (1982). The effect of genotypes on the feed value of barley straws. Journal of Animal Science 55, 10151026.CrossRefGoogle Scholar
Goering, H. K. & Van Soest, P. J. (1970). Forage Fibre Analyses: Apparatus, Reagents, Procedures and Some Applications. USDA Agricultural Handbook No 379.Google Scholar
Goh, S. H., Chuah, C. H., Vadiveloo, J. & Tho, Y. P. (1990). Soldier defense secretions of Malaysian freeranging termite of the genus Lacessititermes (Isoptera, Nasutitermitinae). Journal of Chemical Ecology 16, 619629.CrossRefGoogle Scholar
Grant, A., Franklin, J. G. & Davies, A. M. C. (1988). Near infra-red analysis: the use of multivariate statistics for investigation of variables in sample preparation and presentation of tea leaf. Journal of the Science of Food and Agriculture 42, 129139.CrossRefGoogle Scholar
Gush, T. J., Bentley, B. L., Prestwich, G. D. & Thorne, B. L. (1985). Chemical variation in the defensive secretions of four species of Nasutitermes. Biochemical Systematics and Ecology 13, 329336.CrossRefGoogle Scholar
Herranz, A., De La Serna, P., Barro, C. & Martinalvarez, P. J. (1990). Multivariate statistical methods applied to the differentiation of rum brands. Journal of the Science of Food and Agriculture 51, 555560.CrossRefGoogle Scholar
Jones, D. I. H. & Hayward, M. V. (1975). The effect of pepsin pretreatment of herbage on the prediction of dry matter digestibility from solubility in fungal cellulase solutions. Journal of the Science of Food and Agriculture 26, 711718.Google Scholar
Martin-Alvarez, P. J., Cabezudo, M. D., Sanz, J., Herranz, A., De La Serna, P. & Barro, C. (1988). Application of several statistical classification techniques to the differentiation of whisky brands. Journal of the Science of Food and Agriculture 45, 347358.CrossRefGoogle Scholar
Nei, M. (1972). Genetic distance between populations. American Naturalist 106, 283292.CrossRefGoogle Scholar
Nei, M. (1987). Molecular Evolutionary Genetics. New York: Columbia University Press.CrossRefGoogle Scholar
Othman, O., Alias, I. & Hadzim, K. (1986). Rice varietal development in Peninsular Malaysia. MAROI Report No. 109, pp. 118.Google Scholar
Phang, O. C. (1989). Varietal and environmental factors affecting the feeding value of rice straw. MPhil Thesis, University of Malaya, Kuala Lumpur.Google Scholar
Phang, O. C. & Vadiveloo, J. (1992). Effects of varieties, botanical fractions and supplements of palm oil by-products on the feeding value of rice straw in goats. Small Ruminant Research 6, 295301.CrossRefGoogle Scholar
Sannasgala, K. & Jayasuriya, M. C. N. (1986). The effects of variety and cultivation season on the chemical composition and in vitro organic matter digestibility of rice straw. Agricultural Wastes 18, 8391.CrossRefGoogle Scholar
SAS Institute (1987). SAS Users Guide: Statistics (Version 6). Cary, NC: SAS Institute.Google Scholar
Snedecor, G. W. & Cochran, W. G. (1967). Statistical Methods (6th ed.). Ames: The Iowa State University Press.Google Scholar
Vadiveloo, J. (1989). The intake and digestibility in goats of Leucaena leucocephala supplemented with dehydrated palm oil mill effluent. Animal Feed Science and Technology 24, 4555.CrossRefGoogle Scholar
Vadiveloo, J. (1991). Nutritive value indicators for rice straw. Malaysian Applied Biology 20, 181188.Google Scholar
Vadiveloo, J. & Fadel, J. G. (1992). Compositional analyses and rumen degradability of selected tropical feeds. Animal Feed Science and Technology 37, 265279.CrossRefGoogle Scholar