J. Anim Sci.
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J. Anim Sci. 1978. 47:276-282.
© 1978 American Society of Animal Science

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Relationships among Laboratory Analyses of Pelleted Warm Season Grasses and Animal Performance

P. R. Utley1, G. L. Newton1, W. G. Monson2, R. E. Hellwig3 and W. C. McCormick1

University of Georgia, College of Agriculture Coastal Plain Station, Tifton 31794

Abstract

A 3-year study was conducted to determine the relationship between the laboratory evaluation of three warm season perennial grasses and that portion of animal performance accounted for by variety, maturity and year differences. Forage dry matter production, chemical analyses and animal performance for Coastal bermudagrass, Coastcross-1 bermudagrass and Pensacola bahiagrass are given. Multiple stepwise regression was used to construct prediction equations for average feed intake, average daily gain and feed/gain ratios. Regressions were fitted to the sum of squares remaining after removal of animal variation so that coefficients of determination are coefficients of multiple determination for the main plots (R2mp). Factors entering and remaining in the equations were: crude protein (CP), ether extract (EE), N-free extract (NFE), cell wall constituents (CWC), cellulose (C), acid-detergent lignin (ADL) and in vitro dry matter disappearance (IVDMD). The equation for feed intake was YAFI =33.34–. 109 (CWC)–.065 (IVDMD)–.097(C)–.144 (NFE)–.439 (ADL)–.620 (EE) and had an R2mp of .71. The best prediction equation for gain was YADG = .25 + .048 (CP)–.165 (ADL)–.121 (EE) + .023 (CWC)–.012 (NFE) with an R2mp of .78. Feed gain ratio was best predicted by the equation YFGR = 72.22 – . 163(IVDMD) – .768(CWC) – .556(CP) + 2.134 (ADL) which had an R2mp of .76. When applied the equations, generally, produced reasonably accurate predictions.


Footnotes

1 Department of Animal Science, University of Georgia, Tifton, 31794.

2 Plant Science, ARS, USDA, Tifton, GA 31794.

3 Agricultural Engineering, ARS, USDA, Tifton, GA 31794.







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Copyright © 1978 by the American Society of Animal Science.