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Combined Application Strategy of Biochar / Phosphate Fertilizer Affects the Rice Production by Regulating Soil Bacteria Taxa Composition

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Context: Phosphate fertilizer affects the rice yield and has critical roles on the arable land management. Biochar regulates soil nutrient distribution and soil microbe taxa composition. Aims: Our study aimed to elucidate the effects of co-application for biochar-phosphate on soil nutrient indicators, soil microorganisms and crop production. Methods: Our experiment with 10 groups was set up as followed: 0 t/hm2, 28 t/hm2 and 55 t/hm2 biochar application rates with 20 kg/hm2, 40 kg/hm2, 60 kg/hm2 phosphate fertilizer and one control group without no exogenous biochar/phosphate fertilizer supplement. The rice yield and soil nutrient indexes were observed and the differences between groups were analyzed based on multiple comparisons. 16S ribosomal DNA sequencing was used to analyze the community structure of soil bacteria. Redundancy analysis was performed to obtain the correlation relationships between microbial community marker species, soil nutrient indexes and rice yield.
Title: Combined Application Strategy of Biochar / Phosphate Fertilizer Affects the Rice Production by Regulating Soil Bacteria Taxa Composition
Description:
Context: Phosphate fertilizer affects the rice yield and has critical roles on the arable land management.
Biochar regulates soil nutrient distribution and soil microbe taxa composition.
Aims: Our study aimed to elucidate the effects of co-application for biochar-phosphate on soil nutrient indicators, soil microorganisms and crop production.
Methods: Our experiment with 10 groups was set up as followed: 0 t/hm2, 28 t/hm2 and 55 t/hm2 biochar application rates with 20 kg/hm2, 40 kg/hm2, 60 kg/hm2 phosphate fertilizer and one control group without no exogenous biochar/phosphate fertilizer supplement.
The rice yield and soil nutrient indexes were observed and the differences between groups were analyzed based on multiple comparisons.
16S ribosomal DNA sequencing was used to analyze the community structure of soil bacteria.
Redundancy analysis was performed to obtain the correlation relationships between microbial community marker species, soil nutrient indexes and rice yield.

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