In: New Research on Forest Ecology ISBN 1-60021-434-7
Editor: Archibald K. Scaggs, pp. 129-140 © 2007 Nova Science Publishers, Inc.
Chapter 7
RELATIONSHIPS BETWEEN METABOLIZABLE
ENERGY AND CHEMICAL P ARAMETERS
FROM FOREST FRUITS USING A P ARALLEL GENETIC
ALGORITHM WORLDWIDE MODEL
D. Patón
∗
, A. Salvado and F. Venegas
Ecology Unit. Faculty of Science. University of Extremadura.
Avda. de Elvas s/n Badajoz, Spain
ABSTRACT
Metabolizable energy (ME) is a basic parameter in the analysis of the carrying
capacity of forage resources. Nevertheless, its determination its costly in time in
comparison to other chemical parameters usually used in Range Management studies,
such as Crude Protein (CP), Neutral Detergent Fiber (NDF), Acid Detergent Fiber
(ADF), Acid Detergent Lignin (ADL), Crude Fat (CF), Carbohydrates (C) or Ashes (A).
We propose a model based on Parallel Genetic Algorithms (PGAM) on worldwide data
obtained in different media such as Internet, scientific data bases or different publications
(journals, proceedings...). The PGAM model to determine ME is based on two
parameters: C and CF with good estimations (r= 0.835, p < 0.001). This mathematical
model can be used in carrying capacity studies to reduce the high cost of ME analysis in
comparison to the cheaper cost of CF and C analysis. The fact that this model is based on
a worldwide series of data demonstrates its applicability in a very wide context.
Keywords: Parallel Genetic Algorithm; forest; fruits; energy.
E-mail: dpaton@unex.es.
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