Grafting pea, faba bean, and lentil to improve pulse crop breeding
Bibliographic record
Abstract
Gurusamy, V., Warkentin, T. D. and Vandenberg, A. 2012. Grafting pea, faba bean, and lentil to improve pulse crop breeding. Can. J. Plant Sci. 92: 31–38. In vivo grafting experiments were conducted to determine their potential for improving pulse crop breeding techniques for pea, faba bean and lentil. Four scion×five rootstock genotype combinations were used for pea. Survival of grafted pea scions was not affected by genotype of scions or rootstocks, even for wild subspecies. Some scion-rootstock combinations resulted in reduced flowering time for scions. Total seed production of rootstock regrowth plus grafted scion was greater than for ungrafted controls or rooted cuttings. For faba bean, four scion×four rootstock combinations showed scion-rootstock interaction affected percent survival and flowering time of grafted scions. In vivo grafting of lentil scions to faba bean rootstocks is reported for the first time. Two lentil genotypes were grafted onto four faba bean rootstocks. The effects of lentil scion and faba bean rootstock genotype were significant for percent survival, but not for seed production. Percent scion survival was 85% for pea, 56% for faba bean, and 55% for lentil scions on faba bean rootstocks. In vivo grafting techniques can help to maximize the size of F 2 populations for breeding and genetic studies. Intergeneric in vivo grafting of lentil onto faba bean rootstock could be useful for interspecific hybridization studies for lentil.
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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 | 0.001 | 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".