Karyomorphology of Caesalpinia Species (Caesalpinioideae: Fabaceae) from Caatinga and Mata Atlantica Biomes of Brazil
Bibliographic record
Abstract
Out of 140 Caesalpinia s.l. species, only 20 species have the chromosome numbers presently known, and nine species have the karyomorphological studies available. We determine the karyotype and the chromosome morphometry in five Caesalpinia s.l. spp., and we describe the heterochromatin pattern in four of them. The diploid chromosome number of 24 was reported for the first time in Caesalpinia calycina, Caesalpinia microphylla and Caesalpinia pluviosa var. peltophoroides, and confirmed in Caesalpinia ferrea var. leiostachya and Caesalpinia pulcherrima. Different karyotype formulae were obtained for each of these five species. The chromosome asymmetry index varied from 34.94 % in C. pluviosa to 39.45 % in C. ferrea. The average chromosome length among the five species differed significantly (P<0.010). The heterochromatin blocks were evidenced by C-banding in both terminal and proximal regions of the Caesalpinia spp. chromosomes. This study represents a contribution toward an increased knowledge on cytogenetics and evolution of this genus.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".