Plant and seed nutrient uptake in common bean in seven organic and conventional production systems
Bibliographic record
Abstract
Westermann, D. T., Terán, H., Muñoz-Perea, C. G. and Singh, S. P. 2011. Plant and seed nutrient uptake in common bean in seven organic and conventional production systems. Can. J. Plant Sci. 91: 1089–1099. Knowledge of plant and seed nutrient uptake by crop cultivars in organic and conventional production systems (PS) is essential for breeding the most appropriate genotypes for each PS. The objective was to determine the plant and seed uptake of nitrogen (N), phosphorus (P), potassium (K), copper (Cu), manganese (Mn), and zinc (Zn) by 16 common bean genotypes. We also identified genotypes efficient in plant and seed nutrient uptake across seven organic and conventional PS. A randomized complete block design with four replicates (one plot per replicate) was used for evaluation in each of seven organic and conventional PS in 2003 and 2004. The effects of plant and seed uptake of nutrients, genotypes, PS, and the genotype × PS interaction were significant (P≤0.05). Plant and seed uptake of nutrients decreased in on-station continual dry bean and drought-stressed and on-farm organic low-input compared with on-station conventional irrigated and on-farm organic high-input PS. Common bean genotypes with higher biomass yield, in general, also had higher nutrient uptake, regardless of PS. In general, N and P uptakes were high and that for Mn was markedly low among common bean genotypes. Pinto CO46348, Bill Z, and Othello and Mexican red NW-63 and UI 239 were high-yielding and used nutrients more efficiently across seven organic and conventional PS and years. Other cultivars either had low biomass and seed yield (e.g., Common Pinto, Topaz, Common Red Mexican, UI 59) or were more efficient at whole-plant uptake or seed uptake of nutrients, but not both (e.g., Matterhorn, UI 465). Use of the above five genotypes should be maximized for production in both organic and conventional PS, and for breeding high-yielding broadly adapted cultivars efficient in plant and seed nutrient uptake in organic and conventional PS.
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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 | 0.001 | 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) | 0.000 | 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".