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Record W1995118780 · doi:10.4141/p01-142

Nitrogen management of spring milling wheat underseeded with red clover

2002· article· en· W1995118780 on OpenAlexvenueaboutno aff
H. G. Nass, Y. A. Papadopolous, John Macleod, C. D. Caldwell, D. F. Walker

Bibliographic record

VenueCanadian Journal of Plant Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
Fundersnot available
KeywordsStrawCultivarAgronomyRed CloverGrain yieldBiologyNitrogenYield (engineering)HorticultureChemistryMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

The benefits of underseeding cereals with legumes and grasses have been established. However, research is required to determine the effects of underseeding spring wheat with red clover on yield and milling quality. The objectives of this study were: (1) to determine the rates of supplemental N required to obtain 13.5% or greater grain protein of three spring milling wheat (Triticum aestivum L. em Thell.) cultivars underseeded to red clover (Trifolium pratense L.); (2) to determine the effect of supplemental N on establishment of red clover , and (3) to relate the N status of the soil after harvest to grain protein. Field experiments were conducted from 1998 to 2000 on three sites: Hartland, New Brunswick; Truro, Nova Scotia; and Harrington, Prince Edward Island. Grain yield and protein content increased with increasing amounts of supplemental N. In most years, supplemental N above a base application of 55 kg N ha -1 applied at 52.5 kg N ha -1 at Zadoks GS 30 resulted in 13.5% protein in the grain of Grandin and AC Barrie, but 70 kg N ha -1 was r equired for AC Walton. Based on the N content of the straw, Grandin was less effective in partitioning N into the grain than AC Barrie and AC Walton. Increasing rates of supplemental N caused a reduction in red clover establishment. Soil pH decreased with increasing rates of supplemental N. Nitrate N in the soil at 0–5 and 0–20 cm depths increased with supplemental N, but there was no effect on ammonium N. Differences in pH or levels of soil N after harvest did not account for differences in grain protein. In the Maritime provinces, to reach a desirable milling protein level in spring wheat of 13.5%, producers will need to add supplemental N at a rate of at least 100 kg N ha -1 over and above background levels; however, this will be at the risk of reducing red clover establishment and increasing levels of soil N available for leaching. Key words: Spring wheat, Triticum aestivum, red clover, Trifolium pratense, underseeding, protein, nitrogen

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.188
Teacher spread0.154 · 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

Citations12
Published2002
Admission routes2
Has abstractyes

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