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Record W1982279709 · doi:10.2134/agronj2006.0171

Planting Date and Nitrogen Effects on Fusarium Head Blight and Leaf Spotting Diseases in Spring Wheat

2007· article· en· W1982279709 on OpenAlexaffabout
K. D. Subedi, B. L., Allen Xue

Bibliographic record

VenueAgronomy Journal · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsSowingAgronomyLoamFusariumBiologyLeaf spotSeptoriaCultivarSoil waterHorticulture

Abstract

fetched live from OpenAlex

Cultural management practices play important roles in minimizing losses caused by Fusarium head blight (FHB) and leaf spotting diseases (leaf‐spot) in wheat ( Triticum aestivum L.). A field experiment was conducted in Ottawa, Canada, for 3 yr (2003–2005) in two sites representing clay loam and sandy loam soils to examine the effects of planting date and N management on the incidence and severity of FHB and leaf‐spot {tan spot, Septoria leaf blotch and Stagonospora nodorum blotch) in spring wheat. The cultivar AC Brio was seeded at three dates at approximately 10‐d intervals starting in the last week of April. The five N treatments included 0, 60, and 100 kg N ha −1 applied as starter; 60 + 40 kg N ha −1 (starter + top‐dress at boot stage); and 60 + 40 kg N ha −1 (starter + foliar spray at boot stage). Generally, incidence of FHB and severity of leaf‐spot were greater in the heavy‐textured soil than in the light‐textured soil. Across site–year, the incidence of FHB ranged from 13 to 45%, and severity varied from 14 and 52%. On both soils, planting date had a consistently greater effect on the incidence and severity of FHB: the later the planting date beyond 9 May, the greater the incidence of FHB. The late‐planted wheat also had the greatest severity of leaf‐spot. Planting after 9 May also significantly reduced grain yield by 15 to 45%. Wheat grown without added N had the greatest incidence of FHB and leaf‐spot severities than that supplied with adequate N, especially in the heavy‐textured soil. The effect of N on FHB was not consistent over site–years, but leaf‐spot was significantly reduced with a starter application of N at 100 kg ha −1 . Our data indicate that environmental variation induced by different planting dates or by different growing seasons and site appeared to have greater effects on FHB and leaf‐spot in wheat than N application. The results suggest that the incidence of FHB and severity of leaf‐spot in spring wheat can be minimized through early planting combined with adequate starter N application.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score0.227

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 head0.009
GPT teacher head0.210
Teacher spread0.201 · 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

Citations38
Published2007
Admission routes2
Has abstractyes

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