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Record W2972277198

Nutrient uptake and nitrogen fixation by faba bean in Saskatchewan soils

2019· dissertation· en· W2972277198 on OpenAlexaboutno aff
Serena Roslyn Klippenstein

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
FundersStrong
KeywordsNutrientNitrogen fixationSoil waterNitrogenAgronomyEnvironmental scienceBiologyChemistryEcology
DOInot available

Abstract

fetched live from OpenAlex

As faba bean (Vicia faba L.) production expands in western Canada, limited information is available for modern faba bean cultivars relating to their nutrient requirements and removals, biological nitrogen fixation (BNF), and responses to fertilization. This information is needed to properly manage fertility in cropping rotations containing faba bean. To address this knowledge gap, field studies were conducted at four sites located in the Dark Grey, Black and Dark Brown soil-climatic zones in south-central Saskatchewan in 2016 and 2017. Using four modern zero tannin faba bean cultivars, the effects of two fertilizer treatments on faba bean straw and grain yield, macronutrient (N, P, K, S, Ca, Mg) and micronutrient (Cu, Zn, Fe) concentration and uptake were examined. In addition, a glasshouse experiment was conducted with three P fertilizer rates added to a P deficient soil and two cultivars of faba bean grown, with the above- and belowground yield, N and P concentration and uptake and nitrogen derived from atmosphere (%Ndfa) measured. Soil available nutrients were also measured pre-seeding and post-harvest. The faba bean cultivars demonstrated high yield potential in most site-years, with no significant effect of fertilization or cultivar on yield (~4-6 tonnes ha-1), and average grain N uptake (117-300 kg N ha-1) and grain P uptake (34-82 kg P2O5 ha-1) were generally dependent on soil and environmental conditions experienced according to site location. The N and P uptakes were generally higher compared to uptakes by faba bean and other pulses reported in previous Saskatchewan field studies. Nitrogen accumulated from biological nitrogen fixation (BNF) was about 88 %Ndfa by faba bean, as estimated in the glasshouse study. Given ~230 kg N ha-1 found in aboveground biomass (grain+straw) in the field studies, an estimated ~ 200 kg N ha-1 was potentially contributed from BNF by faba bean. Overall, the high removal of nutrients in faba bean grain observed in this research suggests that fertility management in rotations with faba bean should pay attention to drawdown in the soil over the long-term when faba beans are frequently included in rotation and the grain is harvested.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score0.999

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 head0.013
GPT teacher head0.230
Teacher spread0.216 · 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 designOther design
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
Published2019
Admission routes1
Has abstractyes

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