Growth and nutrient response of flax and durum wheat to phosphorus and zinc fertilizers
Bibliographic record
Abstract
Flax (Linum usitatissimum L.) and durum wheat (Triticum turgidum L.) are important agricultural crops that enter the human food chain. Effective nutrient management considering nutrient interactions is important in order to increase crop yield and improve crop nutrient concentration. The objective of this study was to investigate the effect of P and Zn fertilizers on the yield and nutritional value of flax and durum wheat. A pot culture experiment conducted in a growth chamber using a calcareous clay-loam soil showed that P fertilizers can restrict flax growth due to an antagonistic effect of Zn fertilizer but can increase the seed yield of both crops by enhanced dry matter translocation to the seed/grain. Among the P sources, commercial monoammonium phosphate (CMAP) and commercial triple superphosphate (CTSP) had similar effects on growth and yield, but different impacts on the nutrient concentrations of both crops, indicating the importance of selecting P source to improve crop quality. Zinc addition with reagent grade P decreased the concentrations of P, K, Ca, Mg and Cu in flax but not in durum wheat. We conclude that proper combination of P and Zn fertilizers is necessary to optimize crop yields, but that P had a proportionally greater effect in promoting yield in durum wheat than in flax. In contrast, Zn had a greater impact on mineral composition in flax than in durum wheat, which can affect the nutritional quality of the crop as a component of the human diet. Key words: Flax, durum wheat, P and Zn fertilizers, nutrient, essential trace elements
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".