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      Nutritional factors associated with distribution of Mopani Worms in Mopani woodlands in Tsholotsho and Gwanda Districts, Zimbabwe: A comparative survey

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          Abstract

          Mopani worms are abundant in Gwanda and sporadic in Tsholotsho though the two areas have similar climatic conditions. The study sought to determine nutritional factors that could be associated with distribution of Mopani worms in these two districts. Ten sampling points in undisturbed Mopani woodlands were established in each district. Samples were collected and analysed in the lab to determine the levels of crude protein, tannin and natural detergent fibres levels in leaves and pH, Nitrates, Phosphates and Potassium levels in soil and Welch’s test, Wilcoxon-Mann-Whitney, Analysis of Variance and the Bonferroni Confidence Intervals were employed to test for significance in the observed differences. Findings showed differences in tree size and leaf length whilst the differences of all other variables (non-extractible tannis, extractible tannis crude protein levels and natural detergent fibres) relating to leaf sample analysis were not statistically significant. Findings on soil sample analysis pointed out that Gwanda had higher pH, Phosphorus and Potassium levels whilst Nitrates were significantly higher in Tsholotsho. Differences in the tree sizes and leaf sizes of the samples from the two sites show that there could be host selection based on these variables.

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          Analysis of condensed tannins using acidified vanillin

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            Tannins: their adverse role in ruminant nutrition

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              The Wilcoxon-Mann-Whitney test under scrutiny.

              The Wilcoxon-Mann-Whitney (WMW) test is often used to compare the means or medians of two independent, possibly nonnormal distributions. For this problem, the true significance level of the large sample approximate version of the WMW test is known to be sensitive to differences in the shapes of the distributions. Based on a wide ranging simulation study, our paper shows that the problem of lack of robustness of this test is more serious than is thought to be the case. In particular, small differences in variances and moderate degrees of skewness can produce large deviations from the nominal type I error rate. This is further exacerbated when the two distributions have different degrees of skewness. Other rank-based methods like the Fligner-Policello (FP) test and the Brunner-Munzel (BM) test perform similarly, although the BM test is generally better. By considering the WMW test as a two-sample T test on ranks, we explain the results by noting some undesirable properties of the rank transformation. In practice, the ranked samples should be examined and found to sufficiently satisfy reasonable symmetry and variance homogeneity before the test results are interpreted. Copyright (c) 2009 John Wiley & Sons, Ltd.
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                Author and article information

                Contributors
                njabulow@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                21 November 2019
                21 November 2019
                2019
                : 9
                : 17320
                Affiliations
                [1 ]GRID grid.440812.b, Department of Environmental Science, Faculty of Applied Sciences, , National University of Science and Technology, ; Bulawayo, Zimbabwe
                [2 ]Scientific Agriculture and Environment Development Institute, Bulawayo, Zimbabwe
                [3 ]GRID grid.440812.b, Department of Chemistry, Faculty of Applied Sciences, , National University of Science and Technology, ; Bulawayo, Zimbabwe
                [4 ]GRID grid.442709.c, Department of Applied Mathematics and Statistics, Faculty of Science and Technology, , Midlands State University, ; Gweru, Zimbabwe
                Author information
                http://orcid.org/0000-0001-8421-1478
                Article
                53923
                10.1038/s41598-019-53923-7
                6872812
                31754197
                63939408-693d-40f6-b2f9-37bc705239a3
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 11 June 2019
                : 6 November 2019
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                © The Author(s) 2019

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                socioeconomic scenarios,ecosystem ecology
                Uncategorized
                socioeconomic scenarios, ecosystem ecology

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