Efficiency Assessment Of PTF1 For Phosphorous Deficiency Tolerance In Rice
Bibliographic record
Abstract
Phosphorous (P) deficiency tolerant rice genotypes can accumulate higher amount of P even though plant-available P in soil is low. Gobindabhog, an aromatic Bengal landrace was registered as one of the P-deficiency tolerant genotypes which can accumulate P almost 27mg/plant when grown in P-deficient field. Popular rice cultivar, Shatabdi accumulates approximately 6mg/plant P when grown in same soil. Relative abundance of transcript of Phosphate Starvation Sensing Transcription Factor 1 (PTF1) gene was estimated from the roots of 15- days old seedlings, grown both in P-deficient and sufficient conditions. Expression of PTF1 showed up-regulation in Gobindabhog under P-deficient condition whereas it was down-regulated in Shatabdi. RIL and NIL population were developed by crossing P deficiency tolerant genotype Gobindabhog with susceptible Shatabdi. SSR marker linked with PTF1 gene was used for genotyping the RIL and NIL population. P-accumulation in shoot at the pre-flowering stage and yield attributing parameters were estimated from the two groups of RILs and NILs grown in P-deficient soil. Single Factor analysis ANOVA revealed that PTF1 allele from Gobindabhog significantly increases P-accumulation as well as yield. Consequently, SSR marker RM 8258, located 24.06 KB away from PTF1 gene, can be recommended as a functional marker for introgression of superior allele of PTF1 from Gobindabhog to other non-tolerant genotypes.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".