Ja. Newman et al., LEAST-SQUARES ESTIMATION OF DIET COMPOSITION FROM N-ALKANES IN HERBAGE AND FECES USING MATRIX MATHEMATICS, Australian Journal of Agricultural Research, 46(4), 1995, pp. 793-805
It is possible to estimate diet composition from an analysis of n-alka
nes in the faeces of ruminant animals. For instance, to estimate the p
roportion of two species in a diet, two equations are constructed usin
g the known concentrations of two different n-alkanes in the herbage a
nd in the animal's faeces. These two equations are solved for the two
unknown quantities of the diet components. Two problems exist with thi
s method. First, it is often the case that we have estimated concentra
tions of more than two different n-alkanes. This can lead to a problem
in deciding which two n-alkanes to use to construct the simultaneous
equations. The choice of this pair of n-alkanes is arbitrary in its se
lection and wasteful of other useful information. The second problem i
s that sometimes the solution to the simultaneous equations yields non
sensical answers, such as a negative proportion of one species in the
diet. In addition to making it difficult to estimate dietary proportio
ns, estimating digestibility becomes impossible. In this paper, we pre
sent a technique which provides an estimate of the dietary proportions
. This estimate uses information on all the n-alkanes available, and i
t has a very desirable property of being a least squares estimate. We
also present a method for determining the least squares estimate subje
ct to the constraint that all proportions must be non-negative. We pro
vide examples for estimating the proportions of grass and clover in th
e diet of sheep and the digestibility of those diets.