Phosphorus and Boron Application on Growth, Yield, and Quality of Soybean Seeds (Glycine max [L.] Merril)
Bibliographic record
Abstract
The increased of growth, yield and quality of soybean seeds are expected to occur by applyingP (phosphorus) and B (boron). This research was to investigate the effect of P and application of B their response on growth, yield and quality of soybean seeds. This research was conducted at fieldland and the Laboratory of Seeds and Plant Breeding, Faculty of Agriculture, University of Lampung from November 2016 to April 2017. This treatment was arranged in a 6 × 2 factorial consisting of six doses of P2O5 (0; 50; 100; 150; 200; 250 kg/ha) and two concentration of B (0 and 5 ppm). This study was designed in Randomized Complete Block Design (RCBD) with three blocks. Homogeneity of variance was tested by Barlett’s test and non-aditivity model using Tukey’s test and continued by orthogonal polynomials at α 0.05. The results showed that applying P to dose 250 kg/ha increase the growth, yield and quality of soybean seeds in all variables. Whereas the applications 5 ppm of Boron increased growth, yield and quality of soybean plant seeds higher than without Boron on avariable number of unfallleaf, dry weight of plant, 100 grain weight, germination, dry weight of normal seedling, and vigor index. Response of growth, yield and quality of soybean seeds to increased doses of P did not depend on the granting of B.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".