Study regarding the influence of the agrofield and the climatic conditions from Timisoara on raw cotton production to some cotton genotypes (Gossypium hirsutum sp.).
Bibliographic record
Abstract
The aim of the present investigations was to determine the influence of agrofield on raw cotton production to three cotton genotypes (Gossypium hirsutum sp.): Marismas and Coko genotypes from Greece and Canada genotype from the USA, in the year 2010 of investigation. Investigations made to Experimental and Didactical Station of Timisoara, the experimental field being placed on a cambic chernozem soil, in climatic conditions of Timisoara in the year 2010. The experimental factors established were: Factor A - agrofield and Factor B - genotype. Factor A with six graduation: a1 - N0P0K0, a2 - N30P30K30, a3 - N60P30K30, a4 - N90P60K60, a5 - N120P60K60, a6 - N30P30K30 and agrofield fertilization. Factor B with three graduation: b1 - Canada - the USA; b2- Marismas- Greece; b3- Coko- Greece. Production analysis of raw cotton obtained under agrofield influence emphasized differences among genotypes. In the climatic conditions of Timisoara in the year 2010, the average productions of raw cotton were: Grecian genotype Marismas - 1992 kg/ha, Grecian genotype Coko - 1833 kg/ha and Canada genotype - 1857 kg/ha. The biggest production at Marismas genotype was obtained on agrofield a4 - N90P60K60 (relative 2147 kg/ha cotton production) comparative with agrofield a1 - N0P0K0. The biggest production for Canada genotype was obtained on the agrofield a4- N90P60K60 (2047 kg/ha cotton production). The biggest productions at Coko genotype was obtained on the agrofield a4 - N90P60K60 (2033 kg/ha cotton production). The obtained results were statistically processed the analysis of variance and differences at p<0.05 were considered statistically significant. The three cotton genotypes presented a good adaptability to weather conditions from Timisoara in the year 2010. The weather conditions of year 2010 determined low productions of raw cotton to all the cotton genotypes face to the ones of 2008, the entrance in vegetation of plants with a delay of approximate of 14 days, it was the dominant factor. Investigation brought a data base of valorous reference about cotton cropping in Western of Romania.
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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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".