草地学报 ›› 2018, Vol. 26 ›› Issue (2): 306-311.DOI: 10.11733/j.issn.1007-0435.2018.02.006

• 研究论文 • 上一篇    下一篇

青海省不同地区燕麦田杂草组成及群落特征

柴继宽1, 慕平1, 赵桂琴1, 曾亮1, 贾志锋2, 苟智强1   

  1. 1. 甘肃农业大学, 甘肃 兰州 730070;
    2. 青海省畜牧兽医科学院, 青海 西宁 810016
  • 收稿日期:2017-12-02 修回日期:2018-04-23 出版日期:2018-04-15 发布日期:2018-07-05
  • 通讯作者: 慕平
  • 作者简介:柴继宽(1983-),男,甘肃陇西人,博士,副教授,主要从事牧草种质资源及育种研究;E-mail:cjk_100@163.com
  • 基金资助:

    现代农业产业技术体系(CARS-8-C)资助

Species Composition and Characterization of Weed Communities in Oat Fields in Different Regions of Qinghai Province

CHAI Ji-kuan1, MU Ping1, ZHAO Gui-qin1, ZENG Liang1, JIA Zhi-feng2, GOU Zhi-qiang1   

  1. 1. Gansu Agricultural University, Lanzhou, Gansu Province 730070, China;
    2. Qinghai Academy of Animal and Veterinary Sciences, Xining, Qinghai Province 810016, China
  • Received:2017-12-02 Revised:2018-04-23 Online:2018-04-15 Published:2018-07-05

摘要:

为明确青海省不同地区燕麦田杂草的组成和群落结构,采用倒置“W”取样法对青海省不同地区燕麦田杂草进行了调查和物种多样性分析。结果表明,青海省燕麦田常见杂草有25种,隶属17科23属,其中以菊科、蓼科、十字花科和苋科为主,优势杂草有5种,分别是野胡萝卜、香薷、节裂角茴香、灰绿藜、猪殃殃。从杂草的分布区域来看,青海省4个区域中,平安区燕麦田杂草群落的物种丰富度最高,有21种杂草,而湟中县的Simpson优势度指数最高。经聚类分析,青海省4个区域燕麦田杂草群落可以分为3组,互助县和平安县杂草群落聚为一组,湟中县和海晏县燕麦田杂草群落结构各有特点,分别单独成一组。

关键词: 燕麦田, 杂草群落, 群落多样性, 聚类分析

Abstract:

In order to understand the weed composition and characterization in oat fields in different regions of Qinghai Province, the weed of oat fields was investigated using the method of inverted W-pattern with 9 sampling points. The results showed that 25 weed species were present,which belonged to 23 genera in 17 families, mainly including Asteraceae, Polygonaceae, Cruciferae and Amaranthaceae. The dominant weeds were Daucus carota, Elsholtzia ciliate, Hypecoum leptpcarpum, Chenopodium glaucum, Galium aparine in Qinghai Province. The species richness and diversity in Pingan were the highest among all regions, with 21 species of weed, and the highest Simpson dominance index was in Huangzhong. Hierarchical cluster analysis revealed that weeds in Qinghai Province were classified into 3 groups. Huzhu and Pingan with similar weed species were in one group, Huangzhong and Haiyan were separated individually into two groups.

Key words: Oat field, Weed community, Community diversity, Hierarchical cluster analysis

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