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Applying shannon entropy to select alternative plants as food for livestock: A case study in Ecuador

机译:应用香农熵选择替代植物作为牲畜食品:厄瓜多尔的一个案例研究

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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.
机译:厄瓜多尔马纳比省的半干旱地区由于过度放牧牲畜而被取消资格。在这项研究中,基于香农熵理论,利用熵权法选择了最佳的替代植物作为牲畜的食物。采用熵权法计算标准权重。然后,根据研究总和的结果对所研究的植物进行排名。选择标准为植物大小(C1),干物料(C2),粗蛋白(C3)和粗纤维(C4)。先前通过适应半干旱地区的能力来确定可能的植物。结果表明,最佳的五种植物依次为:炭疽病菌,圆柱状无花果,Cynodon plectostachyus,Bothriochloa pertusa和Paspalidium desertorum。将来,这些选定的植物可以通过实验进行栽培;然后,根据结果,可以将它们视为解决牲畜食物问题或恢复厄瓜多尔马纳比的取消认证区域的替代方法。

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