Arid
DOI10.1016/j.still.2023.105920
Comparative analysis of rhizobial and bacterial communities in experimental cotton fields: Impacts of conventional and conservation soil management in the Texas High Plains
Ferdous, Amin Jannatul; Wang, Xiaolin; Lewis, Katie; Zak, John
通讯作者Ferdous, AJ
来源期刊SOIL & TILLAGE RESEARCH
ISSN0167-1987
EISSN1879-3444
出版年2024
卷号236
英文摘要Conservative agricultural management strategies pursue long-term ecological benefits through practices such as no-tillage, cover crop, and inherent soil properties management. Farmers, however, are often hesitant to adopt such practices due to lack of experience, initial expense, and concern for low crop productivity. Overcoming this barrier requires novel approaches, such as effectively managing the soil microbiome to attain high productivity at a low cost, especially in a semi-arid region. To study the potential of conservation agriculture, we investigated components of soil bacterial community and rhizobial diversity in long-term experimental cotton fields divided into conventional tillage monoculture systems with winter fallow (CT) and no-tillage with mixed cover crop (M -NT) system on the Texas High Plain (THP). We conducted next-generation amplicon sequencing targeting rpoB gene with collected soil samples from different soil managements and seasons. Our research revealed that although CT had significantly greater bacterial diversity and species richness than the M-NT management, rhizobial diversity and species richness were higher in M-NT than in CT management. Both bacterial and rhizobial diversity and richness were greater in summer than in fall. The abundance of the order Rhizobiales was consistently high in M-NT than in CT fields in both seasons. Soil management altered the dominant rhizobial genus associated with cotton production systems; Rhizobium and Pararhizobium dominated M-NT management, while Bradyrhizobium and Sinorhizobium were dominant under CT management. These outcomes suggest that incorporating legumes into a cover crop in this semi-arid cotton-growing region can initiate beneficial changes to the dynamics of the indigenous rhizobial assemblage. The high prediction accuracy of our machine learning model using bacterial community data classifying the managements as CT or M-NT validates the possibilities of a strong underlying relationship between soil management and the bacterial diversity in the soil.
英文关键词Personalized soil management Rhizobial diversity rpoB amplicon sequencing Conservation agriculture Tillage and cover crop Machine learning model Indigenous rhizobia
类型Article
语种英语
开放获取类型hybrid
收录类别SCI-E
WOS记录号WOS:001110593500001
WOS关键词CROP-ROTATION ; NO-TILLAGE ; MICROBIAL COMMUNITIES ; ABUNDANCE DISTRIBUTIONS ; GENETIC DIVERSITY ; FOREST SOIL ; ASSOCIATION ; LEGUMES ; SEQUESTRATION ; BRADYRHIZOBIA
WOS类目Soil Science
WOS研究方向Agriculture
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/405643
推荐引用方式
GB/T 7714
Ferdous, Amin Jannatul,Wang, Xiaolin,Lewis, Katie,et al. Comparative analysis of rhizobial and bacterial communities in experimental cotton fields: Impacts of conventional and conservation soil management in the Texas High Plains[J],2024,236.
APA Ferdous, Amin Jannatul,Wang, Xiaolin,Lewis, Katie,&Zak, John.(2024).Comparative analysis of rhizobial and bacterial communities in experimental cotton fields: Impacts of conventional and conservation soil management in the Texas High Plains.SOIL & TILLAGE RESEARCH,236.
MLA Ferdous, Amin Jannatul,et al."Comparative analysis of rhizobial and bacterial communities in experimental cotton fields: Impacts of conventional and conservation soil management in the Texas High Plains".SOIL & TILLAGE RESEARCH 236(2024).
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