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Record W7057121834

Improving spring wheat resistance to the orange wheat blossom midge, Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae) by understanding the resistance mechanisms of the winter wheat Mironovskaya 808 and assessing hairs and awns as physical barriers to oviposition

2023· dissertation· en· W7057121834 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsMidgePEST analysisDoubled haploidyOrange (colour)PoaceaeCultivarPopulationphotoperiodism
DOInot available

Abstract

fetched live from OpenAlex

The orange wheat blossom midge, Sitodiplosis mosellana (Géhin) (Diptera: Cecidomyiidae), is a prominent pest of spring wheat in western Canada, with larvae causing damage by feeding on the developing kernel, reducing yield and grain quality. Antibiosis, expressed through the Sm1 gene, is important in controlling wheat midge, however, larval feeding on Sm1 varieties can still reduce grain quality. Antixenosis is another type of host plant resistance that could potentially control wheat midge, primarily through plant traits that deter oviposition. To improve host plant resistance in spring wheat, laboratory and field studies were used to assess the mechanisms of resistance in a particularly resistant Sm1 variety, Mironovskaya 808, and the impact of awns and hairy glumes as physical barriers to oviposition (using SMART lines with these traits). Wheat spikes of different lines were exposed to wheat midge adults in choice cages and dissected for eggs. Field studies were conducted over two years at two locations in Manitoba to assess the percentage of midge-damaged kernels (% MDK) between the different cultivars. In addition, a doubled haploid (DH) population derived from a Roblin/ Mironovskaya 808 cross was assessed for % MDK across three growing environments to identify quantitative trait loci (QTL) for wheat midge damage. Larvae hatched on Mironovskaya 808, and dead 1st instars were found within six days of wheat midge exposure. In addition, Mironovskaya 808 had consistently low damage in the field. Genetic analysis revealed a QTL on chromosome 4B (QSm.umb-4B) that improved resistance in combination with Sm1, and on chromosome 2D (QSm.umb-2D) where the Ppd-D1 photoperiod sensitivity gene is located. Spikes with awns tended to have fewer eggs in the laboratory, however both awns and hairy glumes did not reduce damage in the field, suggesting these morphological traits do not offer resistance against wheat midge. However, four SMART lines exhibited oviposition deterrence and lower damage in the field independently of awns and hairs. Combining the deterrence traits from these SMART lines and QSm.umb-4B with the Sm1 gene could be a way to decrease damage and maintain high-quality grain, while also reducing the adaptation of wheat midge to resistant varieties.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.197
Teacher spread0.190 · 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.

Study designBench or experimental
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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