EVALUATION OF FECAL INDICATORS FOR ASSESSING ENERGY AND NITROGEN STATUS OF CATTLE AND GOATS

Citation
G. Nunezhernandez et al., EVALUATION OF FECAL INDICATORS FOR ASSESSING ENERGY AND NITROGEN STATUS OF CATTLE AND GOATS, Journal of range management, 45(2), 1992, pp. 143-147
Citations number
29
Journal title
ISSN journal
0022409X
Volume
45
Issue
2
Year of publication
1992
Pages
143 - 147
Database
ISI
SICI code
0022-409X(1992)45:2<143:EOFIFA>2.0.ZU;2-3
Abstract
In vivo digestibility trials involving cattle (steers) and goats (weth ers) fed shrub and nonshrub mixtures were conducted to evaluate the po tential of fecal output, fecal nitrogen output, and fecal nitrogen per cent for assessing diet intake, nitrogen balance, and digestibility. T wo cattle digestion trials involving 8 feeds and 4 goat digestion tria ls involving 13 feeds were used to develop simple linear and multiple regression equations between fecal and diet characteristics. Crude pro tein percent (organic matter basis) of cattle diets ranged from 3.9 to 12.0%; that of goats ranged from 7.5 to 14.4%. Low-phenolic and high- phenolic shrubs were fed in separate diets to goats while cattle diets involved only low-phenolic shrubs. Fecal output of organic matter (pe rcentage of body weight) was correlated (r2 > 0.80) with forage organi c matter intake (percentage of body weight) for both cattle and goats when all feeds were included in the regression. Linear regression inte rcepts, but not slopes, differed (P < 0.05) among cattle and goats. Mu ltiple regression equations did not improve evaluation of forage intak e over simple linear equations using fecal output. Fecal nitrogen outp ut (g N/kg BW) was associated more closely with nitrogen balance (g N/ kg BW) than other fecal indicators. Further, fecal N output was best a ssociated with nitrogen balance for both cattle and goats (r2 = 0.64, 73, respectively) when used in multiple regression equations. Multiple regression equations showed potential for evaluating nitrogen intake (g N/kg BW) of both cattle and goats, (R2 = 0.91, 0.87, respectively). Although it is doubtful that our equations have broad applications, o ur approach might be useful if specific equations were developed for i ndividual range types.