High-throughput sequencing metabarcoding and network analysis elucidate the effects of soil fumigation and biostimulant on potato yield, rhizoctonia canker, and fungal community
Bibliographic record
Abstract
This study investigated the impact of chloropicrin fumigation and a Bacillus species-based biostimulant applied alone or in combination in soil of potato crop over five key time-points in season. Rhizoctonia canker incidence, potato yield and the effect on the fungal community have been monitored. Quantitative PCR and high throughput metabarcoding sequencing were used to assess soil fungal diversity, specifically biomass, richness, composition and network interactions. Potato gross yield increased by 7.06% (23.5 cwt. acre-1) with fumigation alone and by 8.41% (28 cwt. acre-1) with biostimulant applied to fumigated soil in comparison to non-fumigated control treatment. Net yield losses caused by rhizoctonia canker exceeded 20% in control plots, while both treatments reduced rhizoctonia canker index by 30% and yield losses to less than 5.6%. Fumigation alone reduced fungal abundance during the season, but the biostimulant slightly increased the mean and variability of fungal abundance. Shannon and Evenness diversity indices decreased in fumigated plots, while the biostimulant increased the variability of Chao1 and Observed ASVs indices throughout the season. Biostimulant application promoted rapid late−season fungal recolonization, enlarged connectivity among taxa in non−fumigated soil, and, when combined with fumigation, eliminated the late−season resurgence of Rhizoctonia solani detected in fumigation−only plots. Fumigation also delivered early-season knock-downs of Fusarium spp. (10-fold reduction) and Colletotrichum coccodes (≥3-fold), yet these both opportunists partially rebounded by harvest while the biostimulant had little effect on these genera. Alternaria spp. and Verticillium nubilum stayed sporadic (<0.5 % reads) but were consistently lowest in fumigated soils. Overall, integrated fumigant–biostimulant management delivered the greatest season−long suppression of pathogenic fungi, the most resilient and functionally connected fungal network, and the highest tuber yield, demonstrating that coupling targeted chemical fumigation with microbial stimulation can reconcile disease control with soil microbiome monitoring in intensive potato systems.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".