Title
Applying shannon entropy to select alternative plants as food for livestock: A case study in Ecuador
Date Issued
15 December 2016
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
The semiarid areas of Manabí province in Ecuador are notably decertified due to overgrazing for animal production. In this study, a selection of the best alternative plants as food for livestock using the entropy-weight method, which is based on Shannon entropy theory, is developed. The entropy-weight method was applied to calculate the criteria weights; and then, the studied plants were ranked according to results of a pondered sum. The selection criteria were plant size (C1), dry material (C2), crude protein (C3), and crude fiber (C4). The possible plants were previously identified by their capacity to adapt to semiarid areas. The results shown that the best five plants were Anthyllis vulneraria, Imperta cylindrical, Cynodon plectostachyus, Bothriochloa pertusa, and Paspalidium desertorum, in that order. In the future, these selected plants could be cultivated experimentally; and then, according to the results, they could be considered as an alternative to resolve the food problem for livestock, or to recuperate the decertified areas in Manabí, Ecuador.
Language
English
OCDE Knowledge area
Bioquímica, Biología molecular
Alimentos y bebidas
Subjects
Scopus EID
2-s2.0-85011308897
ISBN of the container
978-150902937-2
Conference
CACIDI 2016 - Congreso Aergentino de Ciencias de la Informatica y Desarrollos de Investigacion
Sources of information:
Directorio de Producción Científica
Scopus