Genotype and Grafting Techniques Effects on Survival and Growth of Camu Camu Plants
Bibliographic record
Abstract
Camu camu is a fruit native to the Amazon, that stands out for high content of vitamin C (3,133mg / 100 g of pulp). Is in process of domestication and therefore it is investigating a method of vegetative propagation to enable progress in the process of genetic improvement. The objective of this work was to determine the influence of genotype and grafting technique on the success and graft quality in camu camu plants. The trial was conducted using an experimental Randomized Complete Block design (RCB) with factorial scheme 9Ax3B, three blocks and 10 grafted plants per experimental unit. The factor A represented 9 clones of camu camu and factor B, three grafting techniques: Chip budding, b) Splice graft and c) Cleft graft. The experiment was conducted for 110 days to determine the sprouting time (beginning of the expansion of the first pair of leaves), the survival rate, sprout length and number of leaves. Significant interactions between the factors for the variables survival rate, sprout length and number of leaves were observed. The results show that the survival rate was influenced by the intrinsic effects of clone’s genotypic variability, presenting a high degree of dispersion, which was between 96.66% and 26.67%. With respect to grafting technique, the chip budding had higher response of survival rate, sprout length and number of leaves. Based on these results it is possible to conclude that the effect of genotypic variability and grafting method have influenced significantly on quantity and quality of camu camu grafting. The higher values of survival rate and vegetative vigour obtained allow recommending the use of chip budding technique for vegetative propagation of camu camu genotypes evaluated in this study.
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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".