Inoculation by Mycorrhizal on Combinations of Planting Media and Host Plant Types and Their Effect on Plant Vegetative Growth
Bibliographic record
Abstract
This study intends to examine the types of media and host plants inoculated with mycorrhizae with the aim of obtaining suitable media and plants adapted to mycorrhiza.By knowing the types of media and suitable host plants, it is hoped that there will be findings on good and effective inoculant media for spore multiplication as mycorrhizal inoculant media materials.The rationale is that it is necessary to find alternative planting media and suitable types of host plants for mycorrhizal propagation as mycorrhizal inoculants that farmers can easily use.Utilization of mycorrhizal inoculants is the application of biofertilizers that are environmentally friendly and have good prospects to be the choice of farmers.The study used a factorial randomized block design (FRBD) which consisted of two treatment factors.The first factor was the planting medium (M) consisting of 4 levels, namely m1 = soil mixed with zeolite (50 : 50 ratio), m2 = soil mixed with organic fertilizer (50 : 50 ratio), m3 = soil mixed with tailings (50 : 50 ratio), m4 = soil mixed with fine sand (ratio 50: 50).The second factor was the type of host plant (I) with 3 levels, namely: i1 = corn plant, i2 = shallot plant, i3 = upland rice plant.All treatments were repeated 3 times.The study lasted for 8 months, carried out at the Laboratory of the Faculty of Agriculture, Universitas Siliwangi, Tasikmalaya, starting from April to November 2019.The results showed that there was an interaction between the growing media and the type of host plant inoculated with mycorrhiza on the parameters of plant height, number of leaves and number of root infections 35 days after planting.For the parameter number of leaves aged 21 and 28 days, the highest wet weight and dry weight of the upper plant was in upland rice, while the highest lower dry weight was in leeks.Media that has good potential to be used as a mycorrhizal inoculant is a mixture of soil with manure and a mixture of soil with zeolite, while the type of plant that is good as a host plant is shallots.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".