Adaptation of Maize to Various Climatic Conditions: Genetic Underpinnings
Bibliographic record
Abstract
Maize ( Zea mays L.) exhibits remarkable adaptability to diverse climatic conditions, a trait that has been extensively studied to understand its genetic underpinnings. This study synthesizes current research on the genetic basis of maize adaptation to various climates, focusing on key genomic regions and alleles associated with traits such as flowering time, drought tolerance, and cold resistance. Studies have highlighted the role of specific genes, such as Dwarf8 and Vgt2 , in facilitating adaptation through diversifying selection and polygenic selection mechanisms. The evolutionary dynamics of maize adaptation involve both short-term and long-term processes, with significant contributions from admixture and independent introductions. Additionally, landraces play a crucial role in climate change adaptation, offering a reservoir of genetic diversity that can be harnessed for breeding stress-tolerant cultivars. This study underscores the importance of integrating genomic insights with traditional breeding practices to develop maize varieties capable of thriving under future climate scenarios.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".