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首页> 外文期刊>Genetic Resources and Crop Evolution >Ecogeographical land characterization maps as a tool for assessing plant adaptation and their implications in agrobiodiversity studies
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Ecogeographical land characterization maps as a tool for assessing plant adaptation and their implications in agrobiodiversity studies

机译:生态地理土地特征图作为评估植物适应性及其在农业生物多样性研究中的意义的工具

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摘要

Information on plant adaptation can be very useful in agrobiodiversity studies. Ecogeographical land characterization (ELC) maps constitute a new tool in this direction with great potential. To assess the usefulness of this approach, an ELC map of Spain was created through multivariate methods. Its performance to characterize plant habitat preferences was compared with existing ecological regions and land cover maps. Collecting sites and seed weight from eight plant species were used to test the ELC map. Categories from each map were assigned to accessions using collecting sites. Chi-square tests were applied to test if category frequency distributions for each species followed a distribution proportional to the relative frequency of categories in each map. The tests found significant differences in the eight species studied. Thus, Bonferroni confidence intervals (BCI) classified categories from maps in preferred, neutral or avoided habitats. Seed weight was used as a proxy for plant adaptation. Comparison between observed and expected ranking of BCI and quartile classes in terms of seed weight means, and GLM and post-hoc tests carried out to test the effect of these classes upon seed weight showed consistently better results for the ELC map. Species results and applications of ecogeographic maps in plant genetic resources conservation are discussed.
机译:有关植物适应性的信息在农业生物多样性研究中可能非常有用。生态地理土地特征(ELC)地图是朝着这个方向发展的具有潜力的新工具。为了评估这种方法的有效性,通过多变量方法创建了西班牙的ELC地图。将其表征植物栖息地偏好的性能与现有的生态区域和土地覆盖图进行了比较。使用来自八种植物的采集位点和种子重量测试ELC图。使用收集网站将每个地图的类别分配给种质。卡方检验用于检验每种物种的类别频率分布是否遵循与每个地图中类别的相对频率成比例的分布。测试发现,在所研究的八个物种中存在显着差异。因此,Bonferroni置信区间(BCI)从首选,中立或避免栖息地的地图中对类别进行了分类。种子重量被用作植物适应的代表。 BCI和四分位数类别的观察到的和预期的排名之间就种子重量均值进行比较,而GLM和事后测试来测试这些类别对种子重量的影响表明,ELC图始终显示出更好的结果。讨论了生态地理图的物种结果及其在植物遗传资源保护中的应用。

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