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Record W2317082152 · doi:10.4141/cjps-2015-021

The effect of late fall seeding time on the seed production of Italian ryegrass

2015· article· en· W2317082152 on OpenAlexaffvenueabout
Bruce Coulman, H. Loeppky, Martin H. Entz

Bibliographic record

VenueCanadian Journal of Plant Science · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicTurfgrass Adaptation and Management
Canadian institutionsUniversity of ManitobaSyncrude (Canada)University of Saskatchewan
Fundersnot available
KeywordsVernalizationAgronomyLolium multiflorumBiologyTiller (botany)SowingCropCultivarSeedingYield (engineering)GerminationHorticulturephotoperiodism

Abstract

fetched live from OpenAlex

Coulman, B., Loeppky, H. and Entz, M. 2015. The effect of late fall seeding time on the seed production of Italian ryegrass. Can. J. Plant Sci. 95: 641–645. Italian ryegrass (Lolium multiflorum Lam.) is a cool-season grass, which behaves as an annual in the Great Plains region of western Canada and is used as a grazing crop. Italian ryegrass requires vernalization for reproductive development to occur. Late fall (dormant) seedings, which have been used for annual crop species, have often resulted in earlier developing seedlings in the spring and higher yield than spring seedings. For Italian ryegrass, dormant seedings may result in vernalization of early-spring-germinating seedlings, allowing seed production without having to overwinter established plants. The objective of this study was to compare the seed yield and stand establishment of late fall (dormant) and spring seedings of Italian ryegrass at three locations in the Great Plains region of western Canada. Stand establishment was assessed by measuring tiller density in the month of June, and these densities were greater for spring than late fall seedings. Most spring seedings had no reproductive development and, thus, no seed yield; however, most late fall seedings produced seed the following year, indicating that vernalization of early-developing seedlings did occur. There were significant differences in seed yield among the four cultivars tested and among sites. Based on the high variation in seed yield among cultivars and sites and the relatively low yield levels obtained, late fall seedings of Italian ryegrass cannot be recommended in the Great Plains region of western Canada.

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)0.003
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 score0.441
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.195
Teacher spread0.183 · 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

Citations1
Published2015
Admission routes3
Has abstractyes

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