The Relationship Between Cover Crop Species and Soil Fungal Communities in Irrigated Vineyards in the Okanagan Valley, Canada
Bibliographic record
Abstract
Many techniques adopted by annual crop growers, addressing challenges such as disease, are not viable for perennial systems. Groundcover vegetation can be employed as a natural method for increasing soil health and perennial plant performance; however, cover crop species may differ in the plant–soil feedback effects that modulate the rhizosphere. To investigate the relationship between cover crop identity and soil microbial composition and to determine potential impacts of cover crop species on pathogen occurrence in perennial systems, we characterized the fungal communities in soil sampled from nine cover crop species used for under-vine groundcover at three separate Okanagan vineyards. Soil characteristics, particularly available phosphorus levels, varied significantly among sites, with SuRDC at 39.9 ppm, Covert at 140.1 ppm, and Kalala at 276.2 ppm. Of 1876 fungal species, SuRDC showed lower richness and diversity. A random forest model classified samples by site with 98.4% accuracy (p < 0.001), but cover crop classification was minimal (2.4% accuracy). Phacelia had significantly lower variance in Shannon’s (p = 2.35×10−7) and Simpson’s diversity (p = 3.59×10−12). Crescendo ladino clover had simpler fungal networks than buckwheat, with a negative correlation between fungal species count and co-occurrence affinity across cover crops (p < 0.001). We found that within sites, soil fungal communities did not vary greatly in composition and measures of community structure, regardless of cover crop identity. Nectriaceae were abundant across all samples, suggesting that cover crops may recruit certain fungal pathogens. Soil fungal communities were distinct across sites, indicating that site-specific conditions may play a larger role in shaping soil fungal communities in BC vineyards than cover crop–microbe interactions and that cover crops do not have consistent short-term (<1 year) effects on soil fungi across sites. Altogether, this research encourages careful consideration of both groundcover species and site-specific conditions when using cover crops in perennial agriculture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".