MétaCan
Menu
Back to cohort
Record W4411570789 · doi:10.3389/fsoil.2025.1559144

High-throughput sequencing metabarcoding and network analysis elucidate the effects of soil fumigation and biostimulant on potato yield, rhizoctonia canker, and fungal community

2025· article· en· W4411570789 on OpenAlex
Honoré Tekeu, Joël D’Astous-Pagé, Thomas L. Jeanne, Richard Hogue

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFrontiers in Soil Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsUniversité LavalInstitut de Recherche et de Développement en Agroenvironnement
Fundersnot available
KeywordsRhizoctoniaFumigationCankerBiologyYield (engineering)AgronomyRhizoctonia solaniHorticulture

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.009
GPT teacher head0.216
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it