| Analysis of weed community composition and diversity in spring wheat fields in Qinghai Province |
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| DOI：10.7606/j.issn.1000-7601.2024.02.27 |
| Key Words: spring wheat fields weed community composition species diversity Qinghai Province |
| Author Name | Affiliation | | FU Zhenzhen | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China | | WEI Youhai | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | GUO Liangzhi | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | WENG Hua | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | CHENG Liang | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | ZHU Haixia | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | LI Wei | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China | | CHEN Hongyu | Academy of Agriculture and Forestry Sciences of Qinghai University, Xining, Qinghai 810016, China
Qinghai Academy of Agriculture and Forestry Sciences, Xining, Qinghai 810016, China |
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| Abstract: |
| To clarify the types and community characteristics of weeds in spring wheat fields in Qinghai Province, the inverted “W” nine\|point sampling method was used to investigate the types, life forms, family and genus composition, community structure, and diversity of weeds in spring wheat fields in the eastern agricultural areas of Qinghai Province and the Qaidam Basin. Statistical analysis revealed that there were 85 species of weeds in the wheat fields, belonging to 24 families and 64 genera. Among them, Asteraceae and Poaceae were the most abundant families, with 16 and 14 species of weeds, respectively. In terms of the comprehensive dominance of weeds, Chenopodium album L., Avena fatua L., Polygonum aviculare L., Sonchus oleraceus L., and Herba Sonchi Brachyoti were the dominant weeds, while Phragmites australis (Cav.) Trin., Leymus secalinus (Georgi) Tzvel., Setaria viridis (Linn.) Beauv., Cirsium eriophoroides, Fagopyrum esculentum Moench., Hypecoum leptocarpum Hook.f.et Thoms., Galium spurium L., Cirsium arvense var. setosum (Willd.) Ledeb., Elsholtzia densa Benth., and Brassica juncea (L.) Czern. et Coss. were the regional dominant weeds. In addition, there were 22 common weeds and 48 general weeds. The species richness of weeds in the fields of the eastern agricultural region was higher than that in the Qaidam region. The species richness of weeds in the wheat fields of Huangzhong District, Datong County, and Huzhu County was 46, 45, and 42, respectively. The species richness of weeds in wheat fields of Dulan County, Delingha City, Ulan County, and Geermu City in the Qaidam Basin was 30, 26, 23, and 13, respectively. The species richness in Geermu City was the smallest in the survey area. Comparison of different life forms of weeds, it was found that the number of perennial and annual weeds in the same area was almost 50%. From the perspective of community similarity, the communities in Huangzhong District, Huzhu County, and Datong County in the eastern agricultural region were extremely similar, while the communities in Dulan County, Delingha City, Geermu City, and Ulan County in the oasis agricultural region of the Qaidam Basin had a high degree of similarity. The similarity in weed community structure was consistent with the actual wheat production in the region, and the composition of community structure was related to regional cultivation systems, climate conditions, soil physical and chemical properties, and field management level. It is recommended to strengthen the control and monitoring of dominant weed species and regional dominant weeds, and develop green control measures for weeds according to local conditions. |
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