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Record W2061475339 · doi:10.4141/p00-007

Impact of agronomic practices and environment on diseases of wheat and lentil in southeastern Saskatchewan

2000· article· en· W2061475339 on OpenAlexafffundvenueabout
K. L. Bailey, B. D. Gossen, D. A. Derksen, P. R. Watson

Bibliographic record

VenueCanadian Journal of Plant Science · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsTillageAgronomyBipolarisBiologyCrop rotationTake-allPyrenophoraSeptoriaSclerotiniaCropCultivarFungusBotany

Abstract

fetched live from OpenAlex

To determine the effect of tillage and rotation on plant diseases, their severity and prevalence were monitored on spring wheat, lentil, and field pea grown in rotation with zero and conventional tillage at Indian Head, SK, from 1992 to 1995. Root disease severity of wheat was less under zero tillage than conventional tillage, but leaf spot severity was unchanged. Incidence of the causal agents from roots was variable, such that Fusarium spp. were higher under zero tillage than conventional and Bipolaris sorokiniana was lower. Pyrenophora triticirepentis was the only foliar pathogen more prevalent under zero tillage than conventional. Rotation did not affect the pathogens causing root disease. However, the rotation of canaryseed-sunola-wheat-lentil had higher disease severity and levels of Septoria tritci on wheat compared with wheat-canola-wheat-lentil or wheat-pea-wheat-lentil. Neither crop rotation nor tillage practice had a measurable impact on lentil diseases, but epidemics of Ascochyta lentis and Botrytis cinerea were most severe in treatments with the densest plant stands. Multivariate analyses explored trends of tillage, rotation, and environment over years demonstrating that regardless of tillage or crop rotation practices, the annual environment was the most important factor limiting the severity of disease and the prevalence of causal agents in the complex. Key words: Rotation, tillage, root rot, leaf spot, wheat, lentil

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 score0.458
Threshold uncertainty score0.999

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 head0.012
GPT teacher head0.199
Teacher spread0.187 · 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

Citations52
Published2000
Admission routes4
Has abstractyes

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