Validation of QTL for Grain Yield‐Related Traits on Wheat Chromosome 3A Using Recombinant Inbred Chromosome Lines
Bibliographic record
Abstract
ABSTRACT Previously, quantitative trait loci (QTLs) for grain yield (GYLD) and yield‐related traits were identified by using a population of recombinant inbred chromosome lines (RICLs) developed from the wheat (Triticum aestivum L.) cultivar Cheyenne (CNN) and its substitution line CNN(WI3A), in which the 3A chromosome of cultivar Wichita (WI) was substituted for CNN chromosome 3A. Our objectives were to identify and validate the QTL previously identified in CNN(RICLs3A), using the mirror population WI(RICLs3A). A population of 90 WI(RICLs3A) was used to evaluate GYLD, 1000‐kernel weight (TKW), kernels per spike (KPS), kernels per square meter (KPSM), spikes per square meter (SPSM), grain volume weight (GVW), plant height (PHT), and anthesis date (AD). Data were collected from replicated trials grown in six Nebraska environments from 2008 to 2009. Twelve QTL for GYLD, TKW, KPS, SPSM, GVW, AD, and PHT were detected. The phenotypic variance explained by these QTL ranged from 12% for SPSM to 53% for GVWT. Most of the QTLs were co‐localized in one or two regions of chromosome 3A. The major grain yield QTL (QGyld.neb.3A.1) detected in the combined analysis explained 19% of the phenotypic variance and the substitution of CNN alleles for WI alleles decreased grain yield. Using a different genetic background, this study confirmed most of the GYLD and yield‐related QTL reported in previous RICLs3A mapping studies on chromosome 3A of winter wheat evaluated in Nebraska.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".