Canopy growth and biomass partitioning to yield in short-season lentil
Bibliographic record
Abstract
Lentil (Lens culinaris L.) cultivars in the large green market class in Western Canada have late-season bushy growth, low harvest index (HI), and lodge readily. The aim of this study was to compare a range of genotypes for canopy traits such as rapid growth, light interception, HI, lodging, and yield. Four stiff-stem unadapted genotypes varying in leaf size and canopy openness were compared with two large green market class and other locally adapted cultivars at three population densities in the field in 2001 and 2002. Canopy measurements included biomass and light interception at weekly intervals, lodging score, end of season HI and yield. Adapted cultivars had high biomass (525 to 700 g m -2 ), high seed yield (96 to 130 g m -2 ), high maximum light interception (61 to 80%), high final branch number (17 to 19), and greatest overall plant height (0.3 to 0.44 m), but large green cultivars were prone to lodging. Unadapted genotypes produced less biomass and lodged the least. Genotypes that accumulated most above-ground biomass yielded the highest, grew the tallest, branched the most, but lodged the most. Unadapted genotypes FLIP 2000-7L (tallest, highest yielding of the unadapted types) and FLIP 96-7L (most lodging resistant (2001) and most brittle stemmed (2002) were promising parents for improving lodging resistance, on the basis of lodging resistance and yield or stem stiffness, respectively. CDC Milestone had the best canopy characteristics of moderate biomass and high harvest index for Western Canada. Key words: Lentil, Lens culinaris, biomass, harvest index, yield, lodging
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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) | 0.000 | 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 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".