Recycling Fruit and Vegetable Wastes into Fermentation Broths and Effects of Its Application on Soil Properties and Crop Growth

This dataset presents the complete experimental data from a study investigating the recycling of fruit and vegetable wastes into fermentation broths (FBs) and their effects on soil properties and crop growth. The dataset comprises five data tables: Table 1 summarizes the nutrient characteristics of fermentation broths prepared from 14 different fruit and vegetable substrates (garlic, sweet potato, apple, persimmon, onion, ginger, chili pepper, tomato, pumpkin, lettuce, carrot, pear, dragon fruit, and banana), including organic matter (OM), ammoniacal nitrogen (AmN), total phosphorus (TP), dissolved total phosphorus (DTP), and total potassium (TK) contents. Table 2 presents soil physicochemical properties and enzyme activities under seven treatments: blank control (CK), apple pomace fermentation broth (AP), tomato fermentation broth (TO), garlic fermentation broth (GA), lettuce fermentation broth (LE), sweet potato fermentation broth (SP), and chemical fertilizer (CF). Measured indicators include total nitrogen (TN), ammoniacal nitrogen (AmN), total potassium (TK), available potassium (AK), total phosphorus (TP), available phosphorus (AvP), soil organic matter (SOM), β-glucosidase (β-Glu), acid phosphatase (ACP), urease (URE), and catalase (CAT). Table 3 reports crop growth parameters from two independent experiments, including leaf number, plant height, leaf length, leaf width, protein content, soluble sugar content, chlorophyll content, total biomass, and above-ground biomass across the same seven treatments. Table 4 shows soil bacterial alpha diversity indices (ACE, Chao1, Shannon, Simpson, Coverage, and Sobs) for each treatment group based on 16S rRNA gene sequencing data. Table 5 documents the enzymatic activities of the 14 fermentation broths, including acid phosphatase (ACP), protease (PRT), urease (URE), cellulase (CEL), and amylase (AMY). All data are presented as mean ± standard deviation (n=3) with Duncan's multiple range test significance letters (p < 0.05). This dataset supports all results and conclusions presented in the associated research article and can be used for full reproduction of the statistical analyses and figures.