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Spatial patterns of diversity and genetic erosion of traditional cassava (Manihot esculenta Crantz) in the Peruvian Amazon: An evaluation of socio-economic and environmental indicators

机译:秘鲁亚马逊地区传统木薯(Manihot esculenta Crantz)的多样性和遗传侵蚀的空间格局:社会经济和环境指标评价

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摘要

This study evaluates quantitatively the suitability of the use of site-specific socio-economic and environmental data as indicators to rapidly assess patterns of diversity and genetic erosion risk in cassava. Socio-economic data as well as farmers’ estimation of genetic erosion were collected in the study area, the Ucayali region of the Peruvian Amazon, through interviews with 285 cassava farmers in 50 communities, while diversity was assessed based on agromorphological characterization of 295 cassava accessions. Using multivariate regression analyses, 50 and 45% of the variation in respectively diversity and genetic erosion estimation could be explained by a selected set of socio-economic and environmental indicators. In both regression models four out of the total of 38 variables proved to contribute significantly (at p < 0.10 level). Additionally, the study revealed that farmers are a good direct source of information on the diversity present at community level, which can contribute to the development of methodologies to assess diversity more rapidly. The results of this study are valuable for the development of models to rapidly assess diversity dynamics in large areas.
机译:这项研究定量评估了使用特定地点的社会经济和环境数据作为指标来快速评估木薯多样性和遗传侵蚀风险模式的指标。通过与50个社区的285名木薯农民进行访谈,在研究区秘鲁秘鲁的Ucayali地区收集了社会经济数据以及农民对遗传侵蚀的估计,同时根据295种木薯种的农业形态特征评估了多样性。使用多元回归分析,可以通过选择的一组社会经济和环境指标来解释分别在多样性和遗传侵蚀估计中的50%和45%的变化。在两个回归模型中,总共38个变量中有4个被证明具有显着贡献(在p <0.10水平)。此外,研究还表明,农民是社区一级存在的多样性的一个很好的直接信息来源,这可以有助于发展评估多样性的方法。这项研究的结果对于快速评估大面积多样性动态的模型的开发非常有价值。

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