Effect of rate and timing of potassium chloride application on the yield and quality of potato (<i>Solanum tuberosum</i> L. ‘Russet Burbank’)
Bibliographic record
Abstract
Mohr, R. M. and Tomasiewicz, D. J. 2012. Effect of rate and timing of potassium chloride application on the yield and quality of potato ( Solanum tuberosum L. ‘Russet Burbank’). Can. J. Plant Sci. 92: 783–794. Potassium is frequently applied to irrigated potato in Manitoba. Field experiments were conducted at two sites in each of 2006, 2007 and 2008 to assess effects of rate and timing of potassium chloride (KCl) application on the yield, quality, and nutrient status of irrigated potato (Solanum tuberosum ‘Russet Burbank’) in southern Manitoba. Preplant application of KCl increased total and marketable yield at one site, and tended (0.05 4OAc-extractable K kg−1, the level below which K fertilizer is recommended based on existing guidelines. Effects of timing of KCl application on total and marketable yield were limited although, averaged across sites, KCl applied at hilling reduced the yield of small tubers (<85 g) and increased the proportion of larger tubers (170 to 340 g) compared with preplant application. Averaged across sites, KCl applied preplant or at hilling reduced specific gravity compared with the 0 KCl treatments. Improvements in fry colour with KCl application were evident at only one site. Petiole and tuber K and Cl− concentration, K and Cl− removal in harvested tubers, and post-harvest soil test K concentration increased with KCl application. However, petiole K concentration measured 82 to 85 d after planting predicted only 24% of the variability in relative marketable yield for sites containing between 164 and 632 mg NH4OAc-extractable K kg−1 to 15 cm. Results demonstrate the potential for yield increases and specific gravity declines with KCl application under Manitoba conditions, but suggest that further research will be required to better predict the potential for yield responses using soil and petiole testing.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".