Potato Yield and Phosphorus Use Efficiency of Two New Potato Cultivars in New Brunswick, Canada
Bibliographic record
Abstract
This 2-yr (2013 and 2014) study evaluated the variation in tuber yield and selected indices of phosphorus (P) use efficiency of two new potato cultivars [AAC Alta Cloud (AC) and AAC Alta Strong (AS)] versus Russet Burbank (RB), the french fry industry standard. Initial P levels and P saturation index [(P/Al) × 100] ranged from 85 to 89.5 mg P kg−1 and from 4.6% to 5.6%, respectively. A complete randomized block design for each variety was laid out in three adjacent plots with six P fertilization rates. The average tuber yield ranged from 29.06 to 36.81 Mg ha−1 for AC, from 27.56 to 41.50 Mg ha−1 for AS, and from 38.15 to 42.02 Mg ha−1 for RB, with the highest yield observed in 2014. Tuber yield response to P application was described by the quadratic-plus-plateau model for AC and linear-plus-plateau model for AS with a mean critical (above which the yield response to P applications is unlikely) P rate of 40 kg P ha−1. Russet Burbank did not respond to P application. The trends of P uptake efficiency (PUE) for AC and AS mirrored that of tuber yield, while RB had a linear increase in PUE with P rate. The study highlights that current P recommendations for potatoes can be reduced without affecting yield, thus increasing farmers’ economic returns. It also reveals the need to test optimal fertilization levels for new cultivars.
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 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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 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".