'Honeycrisp' Apple Leaf and Fruit NutrientConcentration is Affected by Rootstock DuringEstablishment
Bibliographic record
Abstract
A trial involving 31 dwarfing and semi-dwarfing apple [Malus sylvestris(L.) Mill var. domestica(Borkh.) Mansf.] rootstocks from Russia, USA and Germany, with 'Honeycrisp' as the scion, was established in 2010 in Summerland, B.C., Canada, as part of a larger experiment organized by the USDA NC-140 rootstock research group. Leaf and fruit nutrient concentrations were affected by rootstock during the critical, first three years of establishment under irrigated conditions. Trees exhibited a range of vigor and initial yield. Few problems were found in achieving adequate leaf N, B and Cu regardless of rootstock, whereas leaf Zn, P, Mg and fruit Ca often did not achieve sufficiency. Rootstocks were identified with superior and inferior abilities to accumulate individual nutrients, but only B.70-6-8 (P, Mn and K) and B.7-3-150 (P, K) were superior for more than a single nutrient. The ability to accumulate a range of key plant nutrients was not well-correlated with initial tree performance, with the exception of a close association between leaf P and initial tree vigor. There also was an apparent antagonism between P and fruit Ca concentration of the first crop.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".