Nutrient signature of Quebec (Canada) cranberry (Vaccinium macrocarpon Ait.) Perfil nutritivo de atocas (Vaccinium macrocarpon Ait. - cranberry) cultivadas no Québec, Canadá
Bibliographic record
Abstract
Fertilizer recommendations for cranberry crops are guided by plant and soil tests. However, critical tissue concentration ranges used for diagnostic purposes are inherently biased by nutrient interactions and physiological age. Compositional data analysis using isometric log ratios (ilr) of nutrients as well as time detrending can avoid numerical biases. The objective was to derive unbiased nutrient signature standards for cranberry in Quebec and compare those standards to literature data. Field trials were conducted during 3 consecutive years with varying P treatments at six commercial sites in Quebec. Leaf tissues were analyzed for N, P, K, Ca, Mg, B, Cu, Zn, Mn and Fe. The analytical results were transformed into ilr nutrient balances of parts and groups of parts. High-yield reference ilr values were computed for cranberry yielding greater than 35 Mg ha-1. Many cranberry fields appeared to be over-supplied with K and either under-supplied with Mn or over-supplied with Fe as shown by their imbalanced [K | Ca, Mg] and [Mn | Fe] ratios. Nutrient concentration ranges from Maine and Wisconsin, USA, were combined into ilr values to generate ranges of balances. It was found that these nutrient ranges were much too broad for application in Quebec or outside the Quebec ranges for the [Ca | Mg] and the [Mn | Fe] balances, that were lower compared to those of high yielding cranberry crops in Quebec. As recommendações de fertilizantes da cultura atoca são determinadas a partir de análises de planta e solo. No entanto, as faixas críticas de concentração nos tecidos utilizados para fins de diagnóstico são influenciadas por interações de nutrientes e pela idade fisiológica. A análise de dados composicionais log isométricas (ilr) de nutrientes, bem como a idade fisiológica podem ser removidas numéricamente na interpretação dos dados analíticos dos tecidos. Nosso objetivo foi obter padrões imparciais para o perfil nutrivo da atóca, cultivada no Québec, Canadá, e comparar esses padrões com os dados da literatura. Os testes de campo foram realizadas durante 3 anos consecutivos com diferentes tratamentos com fósforo, em seis áreas comerciais do Québec. Os tecidos foliares foram analisados para N, P, K, Ca, Mg, B, Cu, Zn, Mn e Fe. Os resultados analíticos foram transformados em nove ilr. Os valores de referência ilr foram computados a partir de rendimentos de atóca ≥ 35 Mg ha-1. Muitas áreas de atóca parecem ser mais adubadas com K, Mg ou Fe ou sub-adubadas com Mn, como mostrado pelo desequilíbrio [K | Ca, Mg] e [Mn | Fe]. Faixas de concentração de nutrientes do Maine e Wisconsin foram combinadas em valores ilr para obter faixas de equilíbrio. As faixas de nutrientes foram mais amplas no Quebec que em outras regiões para os balanços [Ca | Mg] e [Mn | Fe], comparando-se a cultira de atoca de alta produtividade no Québec.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".