Response of rice growth to soil microorganisms and soil properties in different soil types

Abstract

In order to understand the relationship between rice (Oryza sativa L.) yield and the microbial communities and soil properties of different soil types, and to clarify the advantages of rice production characteristics of different soil types, we investigated the soil bacterial communities and soil properties of five representative rice soils (granitic sandy soil, purple clayey soil, red yellow clayey soil, yellow clayey soil, and alluvial sandy soil) and determined their effects on rice yield. The granitic sandy soil showed the greatest potential for increasing rice yield, with a yield of 39.2 g per plant, which was 24.56% higher than the lowest yielding soil type, these differences were related to differences in the soil microbial community and soil properties.There were significant differences in the microbial communities and chemical properties among the soil types, of which the granitic sandy soil type had the highest total nitrogen, available nitrogen, available kalium, and soil organic carbon contents, which were 2.60 g kg −1 , 196.07 mg kg −1 , 230.65 mg kg −1 , and 24.67 g kg −1 , respectively. Moreover, there was a significant correlation among specific bacterial taxa, soil properties, and rice yield, with Bacteroidetes showing a significant positive correlation with rice yield. The results also showed that pH, alkaline soluble nitrogen, and fast-acting potassium were the key soil properties affecting soil communities and rice yield. Both soil properties and soil microbial community influenced rice yield.

Vertical differences in carbon metabolic diversity and dominant flora of soil bacterial communities in farmlands

“…With the use of genomic DNA as a template, the V4 region of the 16S rRNA gene was amplified by independent PCR using the primer sets 515F (3'-GTGCCAGCMGCCGCGGTAA-5') and 806R (3'-GGACTACHVGGGTWTCTAAT-5'). The resulting amplicon library was subjected to PE6000 sequencing on the Illumina Nova 250 platform 28 . Following initial collection of the sequencing data, we first removed the primers using the Cutadapt program ( https://github.com/marcelm/cutadapt/ ).…”

Diversity and soil chemical properties jointly explained the basal area in karst forest

“…The chemical properties of all soil samples were determined using the technical specifications for soil analysis (Table 1). Soil pH was determined using a soil-to-water ratio of 1:5 with a pH meter, and organic matter content was determined using the potassium dichromate capacity-external heating method (Li et al, 2023). Available potassium and hydrolysable nitrogen were measured using (NH 4 ) 2 CO 3 extraction-flame spectrophotometry and the diffusion-absorption method, respectively.…”