Genetic and Environmental Factors Controlling Tuber Shape in Commercial Varieties
Bibliographic record
Abstract
Tuber shape is an important agronomic trait in many commercial crops, with a significant impact on the market value and economic benefits. In this study, the genetic and environmental factors controlling tuber shape were systematically analyzed, and the localization and functional annotation of major genes and loci in quantitative traits (QTL) were revealed. We further explored the mechanism of genetic and environmental interaction, and found that gene expression is significantly responsive to environmental signals, and that genetic and environmental factors jointly influence the formation and stability of tuber shape. In polyploid genomic crops, genetic regulation exhibits complexity and requires further resolution of its contribution to phenotypic variation. The results deepen the understanding of the mechanism of tuber shape formation, and provide the theoretical basis and practical guidance for the accurate breeding of tuber shape in commercial crops. The analysis also points out the technical bottlenecks in the current research, and explores the application prospects of high-throughput omics technology and multi-environment data integration in future research, emphasizing the need for international collaboration and data sharing. This study is important to improve the market competitiveness and breeding efficiency of tuber crops.
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 | 0.000 | 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 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".