Organic fertilizer application increases biomass and proportion of fungi in the soil microbial community in a minimum tillage Chinese cabbage field
Bibliographic record
Abstract
Lee, Y. H., Kim, M. K., Lee, J., Heo, J. Y., Kang, T. H., Kim, H. and Yun, H. D. 2013. Organic fertilizer application increases biomass and proportion of fungi in the soil microbial community in a minimum tillage Chinese cabbage field. Can. J. Soil Sci. 93: 271–278. This study evaluated the variations in soil microbial communities in a minimum tillage upland field used for Chinese cabbage (Brassica rapa L.) cultivation by their fatty acid methyl ester (FAME) and chemical properties. Replicated plots received organic fertilizer (OF), chemical fertilizer (CF), and no fertilizer (NF), and microbial communities were analyzed in the early season, mid-season and harvesting stages. The electrical conductivity of the CF soil at mid-season was significantly higher than that of the OF and NF soils (P < 0.05), whereas the NO3-N content at the harvesting stage was significantly lower in the CF soil than in the OF soil (P < 0.05). The average microbial biomasses in the OF soils during the Chinese cabbage growing period were approximately 1.03∼1.27 times higher for fungi, Gram-negative bacteria, total bacteria, total FAMEs, Gram-positive bacteria, and arbuscular mycorrhizal fungi (AMF). Organic fertilizer had a significantly lower ratio of cy19:0 to 18:1ω7c then CF (P < 0.001), which indicates that a decrease in microbial stress was caused by organic matter soil inputs and the lack of chemical amendments. Communities of fungi in OF soils were significantly larger than those in CF soils (P < 0.001) indicating fungi are potentially responsible for the microbial community differentiation between the OF and CF treatments in an upland field. However, the average microbial communities in the OF soils were approximately 0.86 times lower for actinomycetes and 0.95 times lower for AMF. In communities of total bacteria (P < 0.001), Gram-negative (P < 0.001) and Gram-positive bacteria (P < 0.01), the interaction between the growth stage and the fertilizer showed significant differentiation. Further work is needed to relate the seasonal variation and impact of fertilization on microbial communities to productivity of Chinese cabbage in Korea.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".