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Record W7028423750

Emergence timing and morphological characteristics of Galium species in western Canada

2018· other· en· W7028423750 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicMedical and Health Sciences Research
Canadian institutionsnot available
Fundersnot available
KeywordsGaliumSowingWeedGerminationShoot
DOInot available

Abstract

fetched live from OpenAlex

Catchweed bedstraw (Galium aparine L.) and false cleavers (Galium spurium L.), collectively known as cleavers, have become an increasing problem in grain fields across the Canadian prairies. The increasing presence of cleavers on the prairies has resulted in canola infested with cleavers seeds, and its tangling behaviour can cause difficulties during harvest. Although there are many herbicide options available, the development of resistance in cleavers to Group 2 and Group 4 (quinclorac) herbicides has complicated their management. Understanding germination and emergence characteristics can provide a better understanding of how populations of Galium species are behaving in western Canada, and whether emergence timing of these populations are preventing adequate weed control. The objectives of this research are to 1) To determine the emergence timing of several cleavers populations 2) To characterize the morphological characteristics and differences between the populations 3) To determine the speciation and relatedness of the populations. Germination, emergence, and morphological characteristics were examined in 6 representative samples of cleavers obtained from various locations across the prairies. To determine if populations are acting as winter or summer annuals, two sowing dates (early May and early September) were utilized. Throughout the experiment, measurements on morphological characteristics such as leaf area, leaf weight, branch number, shoot biomass, plant height, flowering, seed production and thousand seed weight were taken. After the first year of data collection, differences between populations with regard to some morphological characteristics was observed. Emergence patterns suggest that the populations start to emerge at the same time, but the time to reach 50% and 100% emergence is different between populations. Among populations, fall emergence appeared to be very low in comparison to spring emergence.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.217
Threshold uncertainty score0.954

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)0.0470.000

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 head0.089
GPT teacher head0.366
Teacher spread0.276 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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