You are here: Home
/ Publication Information
Title: Evaluating the microscopic fecal technique for estimating hard mast in turkey diets
Author: Rumble, Mark A.; Anderson, Stanley H.;
Source: Res. Pap. RM-310. Fort Collins, Colo.: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. 4 p
Publication Series: Research Paper (RP)
Description: Wild and domestic dark turkeys (Meleagris gallopavo) were fed experimental diets containing acorn (Quercus gambelli), ponderosa pine (Pinus ponderosa) seed, grasses, forbs, and arthropods. In fecal estimates of diet composition, acorn and ponderosa pine seed were underestimated and grass was overestimated. Regression of acorn and pine seed in experimental diets with microscopic fecal estimates indicated significant nonlinear relationships. Based on regression analyses, corrected acorn and pine seed composition in diets did not differ from experimental diets. Corrected estimates for grass were slightly overestimated. Corrected estimates for forbs and arthropods were slightly underestimated. Corrected diet estimates had smaller standard errors than microscopic fecal estimates.
Keywords: Meleagris gallopavo, turkeys, diet study techniques, feces composition, regression analysis
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
- You may send email to email@example.com to request a hard copy of this publication. (Please specify exactly which publication you are requesting and your mailing address.)
XML: View XML
Rumble, Mark A.; Anderson, Stanley H. 1993. Evaluating the microscopic fecal technique for estimating hard mast in turkey diets. Res. Pap. RM-310. Fort Collins, Colo.: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. 4 p
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility