Nutrient availability, photosynthesis and growth of parsley fertigated with chicken manure extract and lupin sap
Bibliographic record
Abstract
A greenhouse experiment with parsley was conducted to investigate the effects of organic liquid fertilizers on biomass yield, photosynthesis, root zone pH, electrical conductivity, and nutrient concentrations of plant tissue and growing medium. Limed peat with 20 kg m−3 composted chicken manure was used as the growing medium. Four organic fertilizer treatments based on chicken manure extract and lupin sap were compared with conventional inorganic liquid fertilizer and no liquid fertilizer (only solid fertilizer). Chicken manure extract resulted in a higher biomass yield than lupin sap (6.7 g dry matter compared with 5.8 g) but lower than inorganic fertigation (8.4 g). Photosynthesis was not influenced by type of fertigation. Growing medium pH was between 7.4 and 8.5 in all organic treatments and one to two units higher than in the inorganic treatment. Electrical conductivity was highest in the lupin sap treatment. The root zone concentrations of NH4, K, Cl, and Na were found to be higher in the organic treatments. Inorganic fertigation, on the other hand, resulted in higher concentrations of NO3, Ca, and Mg. Concentrations of P and most of the micronutrients were at deficit levels in the lupin sap treatment. The addition of extra micronutrients to lupin sap increased the tissue concentrations but not the biomass yield. Among the organic treatments, chicken manure extract showed the most favourable root zone conditions and biomass yield.
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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 | 0.001 |
| 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".