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Record W7010622271

Inheritance and genetic mapping of fatty acids in soybean seed oil

2004· dissertation· en· W7010622271 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2004
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicSoybean genetics and cultivation
Canadian institutionsnot available
Fundersnot available
KeywordsFatty acidLinolenic acidStearic acidPalmitic acidQuantitative trait locusGenetic variationOleic acidLocus (genetics)Linoleic acidGenetic analysis
DOInot available

Abstract

fetched live from OpenAlex

The usage and value of soybean [('Glycine max' (L.) Merrill] oil is affected by its fatty acid profile. The objectives of this study were to: (1) characterize the inheritance of the altered fatty acid levels in the soybean lines developed at the University of Guelph; (2) investigate the environmental effects on the performance of RILs developed from crosses among the se lines and analyze the relationships among fatty acid contents, seed quality and agronomic traits; (3) map QTLs for altered fatty acid levels and investigate QTLxenvironment interactions. The inheritance study indicated that palmitic acid segregation involved two loci, 'Fap1' had an additive genetic effect and 'Fapx' exhibited partial dominance. Stearic acid segregated at the 'Fas' locus with a dominant genetic effect. Linolenic acid segregated at the 'Fan' locus with an additive genetic effect. Combined analysis of variance indicated that entry * environment interaction effects were significant for all traits. Year effects were larger than location effects for palmitate, stearate, and oleate contents, whereas location effects were greater than year effects for all other traits including linoleate, linolenate, protein, and oil contents, plant height, lodging, maturity and yield. The climatic data indicated that the minimum daily temperature rather than the mean and maximum was the most important factor affecting the unsaturated fatty acid levels. Trait correlations varied upon the population, generations and growing environment. There was a general lack of correlations between the fatty acid composition and agronomic traits. Both the 'Fas' and 'Fan' loci were mapped to LG B2 at a 21 cM distance in between. Markers located at 'Fas' and 'Fan' locus explained over 70% and 80%, respectively, of the phenotypic variation for stearic acid and linolenic acid levels. The elevated stearic acid level conferred by 'Fas' locus was most likely to be the result of reduced activity of stearoyl-ACP desaturase which catalyzes the reaction form stearic acid to oleic acid in the fatty acid biosynthesis pathway. Molecular markers with high R2 values, or the QTLs with high LOD scores were more likely to be detected in multiple environments. No consistent segregation distortion pattern for markers was detected between the two mapping populations used in this study.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.968
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.196
Teacher spread0.179 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

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