Mapping of QTL Associated with Maize Weevil Resistance in Tropical Maize
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Bibliographic record
Abstract
ABSTRACT The maize weevil (MW), Sitophilus zeamais (Motsch.), is an important pest of stored maize ( Zea mays L.) in tropical areas. Quantitative trait loci (QTL) associated with MW resistance were analyzed. A total of 163 F 2 progeny derived from the cross CML290 (susceptible) × Muneng‐8128 C0 HC1‐18‐2‐1‐1 (resistant), were genotyped with 151 molecular markers. Resistance was evaluated using bioassays on replicated F 2:3 progenies. Grain damage (GD), grain weight losses (GWL), MW susceptibility index (Dobie index [DI]), and numbers of adult progeny (AP) were evaluated on grain from F 2 lines across two environments. Grain hardness and pericarp/grain ratio were evaluated as putative components of resistance. Composite interval mapping was used for QTL analysis. Five QTL dispersed across the genome explained 28% of the phenotypic variance (σ p 2 ) and 50% of the genotypic variance (σ g 2 ) for GD. Six QTL were detected with effects on GWL and explained 22% of σ p 2 and 47% of σ g 2 Seven QTL (27% σ p 2 and 78% σ g 2 ) were identified for DI and three QTL (10% σ p 2 and 23% σ g 2 ) for AP. Both parents contributed resistance alleles. Genetic effects were mainly dominant (GD, GWL, and DI) and additive (AP). Quantitative trait loci × environment interaction was significant for 50% of the QTL. Since the identified QTL accounted for less than a third of σ p 2 , additional mapping populations are required for mapping MW susceptibility.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it