Selección de rizobios adaptados a ecosistemas ganaderos de Sancti Spíritus, Cuba, inoculados en maíz (Zea mays, L.): Fase I: Invernadero Selection of rhizobia adapted to livestock production ecosystems of Sancti Spiritus, Cuba, inoculated in corn (Zea mays L.).: Stage I: Greenhouse
Bibliographic record
Abstract
Se efectuó un ensayo en invernadero con el objetivo de seleccionar cepas de rizobio inoculadas en maíz (Zea mays, L.). Para ello se utilizaron 30 cepas nativas cubanas pertenecientes a Bradyrhizobium sp., así como 12 cepas comerciales, pertenecientes a diferentes géneros y especies de rizobio. Los inóculos se confeccionaron en medio CLM y fueron agitados hasta alcanzar un título de 10(6)-10(8) cél./mL. Se utilizaron los métodos estándar para la inoculación de cereales. Se evaluaron las variables: peso seco aéreo (PSA), peso seco raíz (PSR), longitud del tallo (LT), diámetro del tallo (DT) y presencia de mazorcas (PM). En las variables PSA, LT y DT se hallaron tratamientos superiores al control absoluto, y en el caso de la LT, dos tratamientos presentaron valores sin diferencias significativas a los del control fertilizado. No se detectaron diferencias estadísticas entre tratamientos en la PM. En el PSR los tratamientos inoculados fueron inferiores al control fertilizado, excepto JI2, TD1, SP7 y SP12. Se obtuvo una agrupación en conglomerados, mediante la cual se seleccionaron las cepas TD, JK, SP, SP, TE, JK, SP, USDA 110, JI, JJ, USDA 76, SP, 25B6, SP, NITRAGIN, ATCC 10317, que se destacaron para su posterior evaluación en condiciones de campo. Los tratamientos seleccionados en el dendrograma constituyeron el 69% para las cepas nativas y el 31% para las comerciales. Al evaluar los tratamientos inoculados en cuanto al grado de dependencia de las diferentes variables con respecto al PSR, se determinó que el índice de regresión fue débil, pero al analizarlos por separado, se observó una regresión fuerte en las variables DT (cepas nativas) y PSA (cepas comerciales). Se recomienda la continuación de estas investigaciones en condiciones de campo. A greenhouse trial was carried out with the objective of selecting rhizobia strains inoculated in corn (Zea mays, L.). Thirty Cuban native strains belonging to Bradyrhizobium sp. were used, as well as 12 commercial strains belonging to different rhizobium genera and species. The inoculi were made in BYM medium and were shaken until reaching a titer of 10(6)-10(8) cel./mL. The standard methods for cereal inoculation were used. The variables evaluated were: aerial dry weight (ADW), root dry weight (RDW), stem length (SL), stem diameter (SD) and presence of ears (PE). In the variables ADW, SL and SD treatments higher than the absolute control were found, and in the case of SL, two treatments showed values without significant differences with the fertilized control. No statistical differences were found among treatments in PE. In RDW the inoculated treatments were lower than the fertilized control, except JI2, TD1, SP7 and SP12. A grouping in clusters was obtained, by means of which the strains TD, JK, SP, SP, TE, JK, SP, USDA 110, JI, JJ, USDA 76, SP20, 25B6, NITRAGIN, ATCC 10317, were selected, which stood out to be evaluated later under field conditions. The treatments selected in the dendrogram constituted 69% for the native strains and 31% for the commercial ones. When evaluating the inoculated treatments regarding the degree of dependence of the different variables with regards to RDW, the regression index was determined to be weak, but when analyzing them separately, a strong regression was observed in the variables SD (native strains) and ADW (commercial strains). To continue these studies under field conditions is recommended.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".