Improving grain yield and salt tolerance by optimizing plant height with beneficial haplotypes in rice (Oryza sativa)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Regulation of plant height to balance growth–stress trade-offs is a promising strategy for high yielding, salt-tolerant crop breeding. • Optimal plant height is essential to high yield under normal and salt stress conditions in rice. • QTL/genes related to rice plant height and yield overlap in GWAS. • PHS10.1 may regulate carbon metabolism, starch and sucrose metabolism to impact plant growth and grain yield. • Optimization of plant height using beneficial haplotypes improves grain yield under normal and salt stress conditions in rice. Rice ( Oryza sativa L.), a staple food for billions worldwide, is challenged by salt stress. Owing to the limited understanding of the physiological and genetic basis of rice salt tolerance, few genes have been identified as valuable in rice breeding, causing a major bottleneck in the development of high-yield, salt-tolerant rice varieties. This study aims to identify salt tolerance genes/quantitative trait loci (QTLs) with breeding potential in rice. Field trials were conducted with 166 Chinese rice cultivars from saline-affected regions and 412 global rice accessions to assess salt tolerance. Genome-wide association study (GWAS) was performed to identify key loci related to high yield and salt tolerance. Additionally, the impact of introducing beneficial haplotypes on grain yield and salt tolerance was assessed. The optimal rice plant height of 100–120 cm was crucial for sustaining high yield under both normal and salt stress conditions. GWAS revealed 6 novel QTLs/genes associated with rice plant growth and grain yield across various environments, distinct from previously recognized salt stress-related genes. Notably, the gene PHS10.1 , encoding a serine/threonine protein kinase, may regulate carbon metabolism, starch and sucrose metabolism, influencing plant growth and grain yield. Certain haplotypes of the genes regulating plant height and grain yield, including SD1 , Ghd7.1 , GH3.5, and PHS10.1 , were selected in traditional breeding. Moreover, optimizing plant height through the introgression of beneficial alleles of these genes increased grain yield in recipient lines under both normal and saline conditions. We propose that utilizing beneficial haplotypes to optimize plant height can effectively balance the growth–stress trade-offs in rice plants. This represents a promising breeding strategy for the development of crop varieties that are both high-yielding and salt-tolerant.
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.
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) | 0.000 | 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 it