Photosynthetic Activity of Superior Varieties and Local Cassava (Manihot esculenta Crantz) Indonesia
Bibliographic record
Abstract
Productivity relates to the ability of photosynthesis. Therefore, the process of photosynthesis is important to promote growth, development and yield. There are many varieties of superior and local cassava (Manihot esculenta Crantz) in Indonesia either unknown of their photosynthesis character. The study aims to investigate the characteristics of photosynthesis and influences of physiological parameters associated the activity of photosynthesis in cassava plants. A study was conducted on Inceptisol soils at UGM research at altitude 113 m above mean sea level between January and November 2014. The treatment of single factor is cassava varieties consist of Adira-4, Malang-6, UJ-5, Singgah and Ketan arranged in a randomized block design with three replications. Cuttings size ±20 cm are planted upright with a distance of 1 m × 1 m (population of 10,000 plants ha-1). After six months, observation has been done of characters and physiological activities at 10 samples per plots and per varieties. The results showed that there are differences in the density of stomata, stomata aperture width, water content, chlorophyll content and photosynthesis rate between varieties of cassava. Singgah varieties have the Ksd highest with medium Lbs and varieties local of Ketan lowest Ksd. The group of superior varieties of cassava have Kkt medium, but varieties of Malang-6 have Kkt slightly higher and the highest rate of photosynthesis. Singgah varieties have lowest leaves Kkt and medium rate of photosynthesis. Local varieties of Ketan have the highest Kkt and lowest rate of photosynthesis. Group cassava superior varieties had higher photosynthesis rate than the local varieties, local varieties Singgah has a moderate rate and higher than Ketan. Stomata density and the concentration of CO2 correlated positively and significantly affect the rate of photosynthesis while transpiration increase conductivity stomatal but negatively correlated to the rate of photosynthesis.
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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".