Identification of QTLs for Lignin Content of Seed Coat in Brassica napus L.in Different Environments
Bibliographic record
Abstract
The objective of this study was to identify QTLs for lignin content of seed coat in Brassica napus using the composite interval mapping (CIM) method. The recombinant inbred lines (RIL) population derived from a cross between black-seeded male parent cultivar Zhongyou 821 and yellow-seeded female parent line GH06 was established by selfing for seven successive generations with single seed propagating from F2. The population was grown at Beibei and Wanzhou in Chongqing in 2007. The QTLs of seed coat lignin content in two environments were detected using the genetic map constructed in 2007. A total of 12 QTLs for seed coat lignin content were located on the four linkage groups, each of them explained 4.50–8.79% of phenotypic variation. One QTL located on linkage group (LG) 3 was linked with the same marker EM19ME23/130 in two environments, other QTLs had different locations between two environments. The QTLs found in Beibei were mainly distributed on LG 20, and the QTLs detected in Wanzhou mainly distributed on LG 3. The QTLs for flavoid contents in embryo and seed color were located in the nearly region with some QTLs for seed coat lignin content. The correlation analysis showed the lignin content of seed coat had significantly and positively correlated with flavoid content of embryo in different environments. In conclution, (1) the seed coat lignin content is controlled by many minor-effect genes, with a genetic pattern of quantitative trait, and the expression of the QTL is affected by environmental factors greatly;(2) the syntheses of lignin in seed coat and flavoid of embryo are probably controlled by the same genes or have the same pathway partially.
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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".