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Record W7071993098

Two Pulse-oilseed Intercrop Combinations to Enhance Yield and Nutrient Availability in Saskatchewan

2022· dissertation· en· W7071993098 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgronomic Practices and Intercropping Systems
Canadian institutionsnot available
Fundersnot available
KeywordsIntercroppingMonocroppingNutrientStrawPhosphorusChernozemFertilizerYield (engineering)Nitrogen
DOInot available

Abstract

fetched live from OpenAlex

The interest in growing pulse-oilseeds together as intercrop combinations in western Canada is increasing, but little is known about the operative nutrient dynamics that drive the observed synergies. Two promising pulse-oilseed combinations (kabuli chickpea-brown flax and dry pea-white mustard) were grown as intercrops in mixed and alternate row configurations in two contrasting soil zones (Brown Chernozem and Black Chernozem) in southern Saskatchewan in 2019 and 2020 without added fertilizer along with their corresponding traditional monocrop systems. Comparison was made of grain and straw yields and nitrogen (N) and phosphorus (P) uptake, proportion and amount of biologically fixed N contributed from the pulse crops, and the transfer of fixed N to the oilseed crops. The two pulse-oilseed intercrops grain yield land equivalent ratios (LER) values, N uptake LER values, and P uptake LER values were at or above 1 for the four site-years, indicating benefit from intercropping in increasing total yield, N and P uptake from a land area. The proportion of N derived from biological N fixation (BNF) was not enhanced in the two intercrop combinations, but significant biologically fixed N (9% - 41%) was transferred from the pulse crops to the oilseed crops that reduced depletion of soil N and contributed additional N in the intercrops compared to monocrops. \n Supporting evidence for synergy in nutrient availability in the intercropping systems was found in consistently greater concentrations of water extractable organic carbon (WEOC) and total dissolved N (TDN) found in the root zone of the pulse crop partners (kabuli chickpea, dry pea) alone and in the mixes with non-pulse partners (brown flax, white mustard) at both Redvers and Central Butte sites in both years. Enhanced nutrient availability was provided by the pulse crop partner with greater Plant Root Simulator (PRS™) nitrate (NO3-N) supply rates observed in the root zone of the pulse crop mixes over the season. \n Overall, the results of this study show benefits can be realized from intercropping of kabuli chickpea-brown flax and dry pea-white mustard in yield and nutrient utilization efficiency from a land area, improved nutrient use efficiency, and synergies.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.317
Threshold uncertainty score0.638

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.009
GPT teacher head0.199
Teacher spread0.189 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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