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Record W2169338153 · doi:10.4141/p04-152

Fertilization, seeding date, and seeding rate for malting barley yield and quality in southern Alberta

2005· article· en· W2169338153 on OpenAlexaffvenueabout
Ross H. McKenzie, A. B. Middleton, E. Bremer

Bibliographic record

VenueCanadian Journal of Plant Science · 2005
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsSeedingCultivarAgronomyHuman fertilizationYield (engineering)FertilizerGrain yieldGrain qualityField experimentMathematicsAnimal scienceBiology

Abstract

fetched live from OpenAlex

Weather conditions are often unfavourable for malting barley quality in southern Alberta, but agronomic practice may improve the probability of attaining acceptable quality. The objective of this study was to determine optimum agronomic practice (cultivar, fertilization, seeding date and seeding rate) for yield and quality of malting barley in southern Alberta. Field trials were conducted at 12 dryland sites and 2 irrigated sites over a 3-yr period (2001–2003). At each site, five experiments were conducted with the following treatments: (1) N rate (0, 40, 80, 120, and 160 kg N ha -1 ), (2) P rate (0, 6.5, 13 and 19.5 kg P ha -1 ), (3) K rate (0, 25 and 50 kg K ha -1 ), (4) S rate (0, 10, and 20 kg S ha -1 ), and (5) seeding date (three dates at 10-d intervals) and seeding rate (150, 200, 250, 300, and 350 viable seeds m -1 ). Seven cultivars were included in the first experiment and two cultivars were included in the remainder of the experiments. Maximum grain yields were achieved when fertilizer + available soil N (estimated from unfertilized grain N yield) exceeded 31 kg N Mg -1 maximum grain yield, whereas protein concentrations were usually acceptable if fertilizer + available soil N was between 25 and 40 kg N Mg -1 maximum grain yield. Higher N rates generally reduced kernel size. Cultivar differences in N response were negligible. Application of P, K, or S did not affect malt yield or quality. Seeding delays of ≈ 20 d reduced grain yields by an average of 20%, with relatively greater yield declines under drought stressed conditions. Delayed seeding did not affect or slightly increased grain protein concentration. Kernel size was both increased and decreased by delayed seeding. Increased seeding rates from 150 to 350 viable seeds m -2 generally provided small yield gains, slight reductions in grain protein concentration and reduced kernel size. The most beneficial agronomic practices for malt barley production in southern Alberta were early seeding and application of N fertilizer at rates appropriate to the expected availability of moisture and soil N. Key words: Hordeum vulgare, nitrogen fertilizer, phosphorus, potassium, sulphur, protein, plump kernels

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)0.001
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 score0.666
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.045
GPT teacher head0.241
Teacher spread0.196 · 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

Citations93
Published2005
Admission routes3
Has abstractyes

Explore more

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