STATISTICAL STUDY FOR THE INTRODUCTION OF IMPROVED SPECIES OF PASTURES IN THE PICHIS VALLEY, PERU
Keywords:
Grazing, pastures and forages, statistical test, non-parametric statistics, Kruskal-Wallis testAbstract
The Valley of Pichis is an area of Peru with a mostly rural population and a great variety of flora and fauna. However, for many
years there has been a trend towards deforestation that is increasingly worrying. Due to the overexploitation of pastures due to
the intensive grazing that is carried out by the inhabitants of the area, it has been perceived that there are areas where the
pastures are dry and in others there is a lack of pastures to continue feeding the local cattle. The lack of scientific culture on the
part of the inhabitants of the area who are not capable of carrying out a more rational grazing is also appreciated. That is why it
was decided to study the introduction of three plant species that can serve as substitutes for native species in order to provide a
greater opportunity for regeneration of these species and thus avoid desertification of the area. The data obtained from the results
of the experiment were processed with the help of the Kruskal-Wallis method, which consists of comparing the results of more
than two independent populations, to determine if there is a significant difference between them, or if instead they respond to the
same distribution. This is a non-parametric test and therefore has the advantage that it does not have the normality of the
populations as a hypothesis.
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