Dataset of rhizosphere soil properties, celery yield and microbial communities regulated by root extracts of different vegetables under continuous celery cropping

Field agronomic indexes: celery yield per square meter and disease incidence;4. High-throughput sequencing data of rhizosphere microbes: ASV abundance tables of bacterial 16S rRNA (V3V4) and fungal ITS1 region; alpha diversity indices (Chao1, Shannon, Simpson, Pielou) and genus-level relative abundance of bacteria and fungi;5. Raw statistical outputs: one-way ANOVA & LSD multiple comparison, Spearman correlation matrix, redundancy analysis (RDA), grey relational evaluation matrix. Soil parameters were measured following standard methods in Soil Agrochemical Analysis.

Microbial sequencing was performed on Illumina NovaSeq platform and bioinformatic analysis was processed via QIIME 2 pipeline. Yield and disease data were obtained from field investigation. The dataset fully reveals the regulatory effects of various vegetable root extracts on soil fertility, soil-borne diseases and rhizosphere microecology of continuously cropped celery.

It can be reused for research on celery rotation optimization in southern Ningxia, microecological mechanism of continuous cropping obstacles, and interaction between soil nutrients and microorganisms. This work was funded by Ningxia Natural Science Foundation (2024AAC03384) and Ningxia Agricultural High-quality Development & Ecological Protection Science and Technology Demonstration Project (NGSB-2021-8-06).