Nutrient status and crop productivity following a 14-year irrigated potato rotation study
Bibliographic record
Abstract
Mohr, R., Nelson, A., Tomasiewicz, D., McLaren, D., Monreal, M., Irvine, B., Khakbazan, M., Moulin, A., Derksen, D. and Volkmar, K. 2015. Nutrient status and crop productivity following a 14-year irrigated potato rotation study. Can. J. Plant Sci. 95: 351–360. Well-managed crop rotations contribute to high productivity and quality in subsequent crops, and neither excessively deplete nor increase soil nutrient levels. A field experiment was conducted in the year following completion of a 14-yr irrigated potato (Solanum tuberosum L.) rotation study to assess the impact of preceding rotation on soil P, K and micronutrient concentrations, and on soybean (Glycine max) productivity, yield and seed nutrient levels. Soybean was grown on six established rotations [potato with canola (PC), wheat (PW), canola–wheat (PCW), oat-wheat (POW), wheat–canola–wheat (PWCW), and canola underseeded to alfalfa–alfalfa–alfalfa (PCAA)] arranged in a randomized complete block design (RCBD) with four replicates. Soil nutrient levels fell within ranges typical of the region, as did soybean yield and quality. Lower P and K concentrations in spring soil samples, and in soybean seeds, were typically associated with PCAA, suggesting that fertilizer additions did not account for high rates of P and K removal by alfalfa hay in this rotation. While preceding rotation had minimal effects on soil Cu and Zn, soybean established after PCAA or after potato contained comparatively higher seed Cu and Zn concentrations suggesting that including mycorrhizal crops such as potato and alfalfa in rotation may have contributed to enhanced micronutrient availability. Soybean yield was 4–6% higher following potato than canola or cereals, and 6% higher following POW than PCW. Seed protein increased and oil concentration decreased where preceding rotations included alfalfa. The limited yield differences observed may have been due, in part, to the selection of soybean as an indicator crop, which likely minimized differences among rotations arising from disease, weeds and nitrogen. These findings suggest that, with careful management of irrigated potato systems over the longer term, crop productivity and nutrient availability may be maintained within acceptable levels for agricultural production.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".