Suppr超能文献

中国甘肃当归质量适宜性地域化分析。

Quality suitability regionalization analysis of Angelica sinensis in Gansu, China.

机构信息

School of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, Gansu, China.

Gansu Medical College, Pingliang, Gansu, China.

出版信息

PLoS One. 2020 Dec 14;15(12):e0243750. doi: 10.1371/journal.pone.0243750. eCollection 2020.

Abstract

The genus Angelica encompasses 80 species worldwide. Among them, only Angelica sinensis is widely used in China and Japan. To explore the quality and geographical distribution of A. sinensis, we collected 1,530 plants from Gansu Province and analyzed them for their contents of chlorogenic acid (CA), ferulic acid (FA), senkyunolide I(SI), senkyunolide A(SA), senkyunolide H (SH), coniferyl ferulate (CF), ligustilide (LI), and butenyl phthalide (BP) using UPLC. We also assessed the relationship between the ecological environment and quality of A. sinensis through maximum entropy modeling and a geographical information system. The habitat suitability distribution demonstrated that the most influential ecological factors for the growth of A. sinensis were altitude, precipitation during March, May, and December, precipitation during the wettest month, and the soil pH. The most suitable areas for cultivation are concentrated to the south of Gansu Province, including Linxia Hui Autonomous Prefecture, Dingxi City, Tianshui City, south of Wuwei City, east of Gannan Tibetan Autonomous Prefecture, north of Longnan City, and northwest of Pingliang City. The quality suitability regionalization analysis divulged that the most influential ecological factors for the index components of A. sinensis were the altitude, sunshine, rainfall, temperature, and soil pH. The highest quality A. sinensis grow in Dingxi City, Tangchang, Lixian, and Wen counties in Longnan City, Wushan County in Tianshui City, Lintan, Zhouqu, and Zhuoni counties in Gannan Tibetan Autonomous Prefecture, Kangle and Linxia counties in Linxia Hui Autonomous Prefecture. The experiment yielded highly accurate results (accuracy of 0.955), suggesting that the results were consistent with the actual distribution of A. sinensis in Gansu. The inferences of this research will naturally draw the attention of the authorities in the fields of natural resources and agriculture departments and provide a scientific basis for the rational selection of A. sinensis cultivation areas.

摘要

当归属植物包括全球 80 种。其中,只有当归在中国和日本被广泛应用。为了探索当归的质量和地理分布,我们从甘肃省收集了 1530 株植物,并使用 UPLC 分析了它们的绿原酸(CA)、阿魏酸(FA)、藁本内酯 I(SI)、藁本内酯 A(SA)、藁本内酯 H(SH)、松柏醛阿魏酸酯(CF)、羌活醇(LI)和丁烯基苯酞(BP)含量。我们还通过最大熵模型和地理信息系统评估了当归生态环境与质量之间的关系。生境适宜性分布表明,对当归生长影响最大的生态因素是海拔、3 月、5 月和 12 月的降水量、最湿润月的降水量和土壤 pH 值。最适合种植的地区集中在甘肃省南部,包括临夏回族自治州、定西市、天水市、武威市南部、甘南藏族自治州东部、陇南市北部和平凉市西北部。质量适宜性区域化分析表明,对当归指数成分影响最大的生态因素是海拔、日照、降雨、温度和土壤 pH 值。质量最好的当归生长在定西市、通昌县、礼县、文县、天水市武山县、陇南市两当县、舟曲县、卓尼县、甘南藏族自治州碌曲县、康乐县和临夏回族自治州临夏县。实验得到了非常准确的结果(准确率为 0.955),表明结果与甘肃当归的实际分布一致。该研究的推论自然会引起自然资源和农业部门主管部门的关注,并为合理选择当归种植区提供科学依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb29/7735642/cfdb289603d5/pone.0243750.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验