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Record W1991622871 · doi:10.4141/p02-082

Application of seed-row potash to barley (<i>Hordeum vulgare</i> L.) grown on soils with high “available” potassium levels

2003· article· en· W1991622871 on OpenAlexvenueaboutno aff
R. E. Karamanos, J.T. Harapiak, N.A. Flore

Bibliographic record

VenueCanadian Journal of Plant Science · 2003
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsHordeum vulgarePotashAgronomySoil waterCultivarYield (engineering)FertilizerCropPotassiumPoaceaeHuman fertilizationCrop yieldBiologyChemistryEnvironmental scienceMaterials scienceSoil science

Abstract

fetched live from OpenAlex

Benefits of KCl application to cereals have been documented in Great Plains soils and have been attributed primarily to a response to the Cl- portion of this fertilizer either due to disease suppression or a Cl- deficiency. The practice of placing small amounts of KCl with the seed to avert any of these undesirable effects has been gaining momentum in western Canada. However, research on benefits from KCl fertilization of barley on high K soils in western Canada is limited. A large number of trials (115) were conducted from 1989 to 1998 on western Canadian prairie soils to ascertain the response of barley to seed-row applied KCl fertilizer. All soils contained K levels in excess of what is considered a critical level for obtaining a yield response to K due to K deficiency. Statistically significant yield increases with KCl application were obtained in 37 of 115 trials (32%). There appeared to be a strong link between the probability of obtaining a significant yield response to seed-row applied KCl, and barley cultivar and previous crop. Growing Harrington barley on barley stubble resulted in a grain yield increase due to KCl seed-placement 60% of the time. However, no clearly defined mechanism for the grain yield responses could be drawn based on the determined parameters, except that the majority of responses did occur under conditions that promote disease (e.g., disease susceptible cultivar, barley sown on barley stubble, etc.) and that the lower the soil “available” K levels in those instances, the higher the grain yield increase. Hence, it is hypothesized that K may play an indirect role in suppressing disease by increasing the overall health of plants. None of the assessed plant characteristics other than yield, i.e., days to maturity, kernel plumpness, protein and root rot infection, benefited from application of Cl- as either KCl or CaCl2. Key words: Chloride, cultivar, Harrington, disease, plant health, previous crop

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.185
Teacher spread0.173 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2003
Admission routes2
Has abstractyes

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