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Record W2020335232 · doi:10.1080/07060660909507616

Soil silicon amendment for managing gray leaf spot of perennial ryegrass turf on golf courses in Pennsylvania

2009· article· en· W2020335232 on OpenAlexvenueno aff
U. N. Nanayakkara, W. Uddin, Lawrence E. Datnoff

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSilicon Effects in Agriculture
Canadian institutionsnot available
Fundersnot available
KeywordsLolium perennePerennial plantCalcium silicateAgronomyFungicideUltisolLeaf spotBiologyHorticultureSoil waterMaterials science

Abstract

fetched live from OpenAlex

Gray leaf spot (Magnaporthe oryzae) of perennial ryegrass (Lolium perenne) is commonly managed by fungicide applications. With increasing public concerns over chemical usage and emergence of fungicide-resistant pathogen populations, the golf course industry seeks disease management through integrated management practices. Silicon (Si) amendments have been proven effective in controlling fungal diseases of various crops including turfgrasses. This study investigated the effects of Si applications on gray leaf spot development on perennial ryegrass turf on commercial golf courses. Silicon sources wollastonite and calcium silicate slag were applied at 0, 0.5, 1, 2, 5, and 10 t/ha at two golf courses in Pennsylvania with different soil types: an Ultisol and an Alfisol. The turf was inoculated with M. oryzae 10 weeks after silicon application, and disease development was monitored over a 10 week period. Results showed that area under the disease progress curve and final disease severity 10 weeks after inoculation were significantly reduced by Si applications at both sites. The magnitude of disease reduction was greater in the perennial ryegrass turf grown on the Ultisol. Tissue Si content increased with increasing rates of calcium silicate at both sites. Leaf tissue content of other macro- and micro-nutrients did not change when Si was applied at either site. Soil analysis showed that soil Si and pH increased with increasing rates of Si at both sites. These findings suggest that Si applications can reduce gray leaf spot development on perennial ryegrass turf on golf courses and may prove to be of use in the integrated management of turfgrass diseases. Key words: Magnaporthe oryzae, gray leaf spot, perennial ryegrass, wollastonite, calcium silicate slag, silicon. La tache grise (Magnaporthe orizae) de l’ivraie est habituellement maîtrisée par des applications de fongicide. Compte tenu des préoccupations du public en ce qui a trait à l’utilisation des pesticides de synthèse et à l’émergence de populations d’agents pathogènes résistants aux fongicides, l’industrie des terrains de golf cherche des solutions de gestion des maladies en faisant appel aux méthodes de lutte intégrée. Les amendements à base de silicium (Si) se sont montrés efficaces quant à la lutte contre les maladies fongiques s’attaquant à diverses cultures, incluant les gazons. Cette étude a examiné les effets d’applications de silicium sur le développement de la tache grise sur l’ivraie vivace sur sept terrains de golf commerciaux. De la wollastonite et des scories de silicate de calcium, sources de silicium, ont été appliquées à raison de 0,5, 1, 2, 5 et 10 t/ha sur deux terrains de golf de Pennsylvanie aux sols différents : un ultisol et un alfisol. Le gazon a été inoculé avec M. orizae 10 jours après l’application de silicium et l’évolution de la maladie a été suivie durant 10 semaines. Les résultats ont montré que, 10 semaines après l’inoculation, l’aire sous la courbe de maladie (AUDPC) ainsi que la gravité finale de la maladie avaient été réduites de façon significative par les applications de silicium, et ce, aux deux sites. La teneur des tissus foliaires quant aux autres macro- et micronutriments n’a varié sur aucun des deux sites traités. Les analyses du sol ont indiqué, aux deux sites, que la teneur en silicium et le pH des sols augmentaient en fonction des taux d’application du silicium. Ces constatations suggèrent que les applications de silicium peuvent entraver le développement de la tache grise chez l’ivraie vivace sur les terrains de golf et peut s’avérer utile dans la gestion intégrée des maladies des gazons. Mots-clés : Magnaporthe orizae, tache grise, ivraie vivace, wollastonite, scories de silicate de calcium, silicium.

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.

How this classification was reachedexpand

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.915
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.220
Teacher spread0.206 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

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