Response of broccoli (<i>Brassica oleracea</i> var. <i>italica</i>) yield and hollow stem to plant density, trickle irrigation and transplanting date
Bibliographic record
Abstract
Maximizing yield and quality of processing broccoli (Brassica oleracea L. var. italica) is critical to successful production in Atlantic Canada. Field studies were conducted from 2004 to 2006 to evaluate the effect of plant density and trickle irrigation on the yields and incidence of hollow stem for early and late transplanting of broccoli. Treatments consisted of five plant densities ranging from 3.17 to 6.35 plants m–2. Each plant density was either not irrigated or trickle irrigated to maintain at least 25 mm total precipitation per week. The highest marketable yield was achieved at 5.56 plants m–2 when grown in an early transplanting with trickle irrigation in a single row with 90 cm between the row and 20 cm within the row. Overall, earlier transplanting dates were more productive. Trickle irrigation increased marketable yield by an average of 12% over the 3 yr of tests. Average head weight, head diameter, and the incidence of hollow stem decreased as plant density increased. Leaf tissue N was not affected by plant density, trickle irrigation or transplanting date.Key words: Brassica oleracea L. italica, plant density, yield, growth
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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 | 0.000 | 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 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".