Exploring the potato («Solanum tuberosum» L. c.v. Russet Burbank) petiole ionome, in Atlantic Canada, as it relates to yield, and specific gravity
Bibliographic record
Abstract
Potato is a high value crop of economic significance in Atlantic Canada. The nutritional status of the plant is related to the outcome of key yield parameters of significance for potato producers. Potato petiole sampling is commonly used to assess the crop's nutritional status. The objective of this study is to relate petiole nutrient data to yield outcomes on farms in New Brunswick (NB) and Prince Edward Island (PEI). There were 39 farms evaluated in NB, and 109 farms surveyed in PEI during a five year period from 2010 to 2014. Sampling occurred once per week for the six week period from early to late tuber bulking stages. Petioles were analyzed for NO3-N, non-NO3- N, P, K, Mg, Ca, S, B, Zn, Mn, Fe, Cu, Na and Al concentrations. Yield outcomes were related to untransformed nutrient concentrations, as well as nutrient data transformed using the isometric log ratio (ILR) method. The non-NO3-N concentration in petioles was the most consistent indicator of improved tuber yield and specific gravity. The tuber yield in NB and specific gravity in PEI were both positively correlated to B concentrations in petioles. In contrast, the Zn and Mn concentrations in petioles were negatively correlated with tuber yield and specific gravity. On the NB farms, the Ca, Mg, and B concentrations in petioles were the most consistent indicators of improved tuber yield, but the NO3-N, S, P, and K concentrations in petioles generally showed a negative correlation with tuber yield. Specific gravity did not tend to be positively correlated with the nutrient concentration in petioles, but was consistently and negatively correlated with the NO3-N, S, P, and K concentration in petioles. The use of ILR transformations did not improve the interpretation of potato nutritional status in either province and led to potential misinterpretation if observed out of context. This study demonstrates that temporal fluctuations in petiole nutrient concentrations may be an indicator of economically-important potato yield outcomes on farms in NB and PEI.
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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 | 0.000 | 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) | 0.001 | 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 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".