Biometry of Seeds of Caupi Beans Cream Varieties Cultivated in Northeast Brazil
Bibliographic record
Abstract
Biometric analysis is of great importance for the evaluation of the characteristics of the seeds, being used to predict the physiological aspect. In this context, the objective was to study the biometry of seeds of cowpea bean varieties cultivated by family farmers in the Brazilian Northeast. The work was carried out from April to July 2018, consisting of the harvesting of cowpea bean seeds in the agroecological production area, of the region of Apodi, Northeast Brazil. A completely randomized design with six treatments (owl, canapum, lizão, always green, cow’s rib plus cultivar BRS potiguar) and six replicates of 100 seeds was used. A completely randomized design with six treatments and six replicates of 100 seeds was used. The evaluated characteristics were: length and width of seeds, expressed in mm; length/width ratio of seeds, expressed in mm; weight of one hundred seeds, expressed in g; weight of one thousand seeds, expressed in grams and quantity of seeds per kg, expressed in units kg-1. There was a statistical difference between the varieties of cowpea for the biometric characteristics studied. The cowpea variety was statistically superior to the others, for the characteristics, seed length (11.37 mm), length (2.14 mm) length ratio, weight of one hundred seeds (31.16 g) and weight of one thousand seeds (312.46 g). The BRS potiguar variety was statistically superior to the characteristic number of seeds per kilo (5099.16 units kg-1).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".