Inheritance and Interaction of Low Palmitic and Low Linolenic Soybean
Bibliographic record
Abstract
Decreasing the palmitic and linolenic acid content of soybean [Glycine max (L.) Merrill] oil would help improve its nutritional quality and oxidative stability. The altered fatty acid profile in soybean germplasm lines with decreased levels of palmitic and linolenic acid have been developed at the University of Guelph, Canada, by combining different mutant alleles through hybridization. The objectives of this study were to determine the inheritance and interaction of palmitic and linolenic acid levels in RG3 and RG1, and the effects of these altered fatty acid levels on other fatty acids. RG3 and RG1 (low palmitic approximately 45 g kg(-1) and linolenic approximately 40 g kg(-1)) were crossed reciprocally to several soybean lines with altered or normal fatty acid profiles. Analysis of the reciprocal F(2) generations indicated no maternal or cytoplasmic effects for palmitic or linolenic acid content. Chi-square analyses of the F(2) generation demonstrated that RG3 and RG1 contained two alleles, fap1 and fapx, that controlled palmitic acid content. In addition, RG1 had a third allele, fan, which reduced its linolenic acid content. Calculation of gene substitution values indicated additive gene action at the fap1 and fan loci, whereas the fapx locus involved partial dominance. Correlation coefficients indicated no association between palmitic and linolenic acid. Decreases in palmitic and linolenic acid content were associated primarily with increases in linoleic acid content. Since fap1, fapx, and fan were inherited independently of each other and appeared to behave in an additive manner, RG3 and RG1 can be used in breeding programs as additional valuable sources of germplasm with altered fatty acid profiles.
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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".