Variation of myrosinase activity in the cross progenies of two <i>Brassica juncea</i> lines with relatively low and high myrosinase activities
Bibliographic record
Abstract
A crossing experiment was conducted to estimate the inheritance pattern for myrosinase activity in Brassica juncea. Myrosinase activities were measured in cotyledon tissue of the F1 progeny and backcrosses from two doubled-haploid parental lines of B. juncea, one with relatively high myrosinase activity and one with relatively low myrosinase activity in cotyledon tissues. Myrosinase activity was measured in terms of the rate of hydrolysis of exogenous sinigrin by soluble protein extract of the cotyledons. Myrosinase activities of the parental lines were 0.63 nmol mg-1 min-1 (“High”) and 0.22 nmol mg-1 min-1 (“Low”) (P = 0.0001), and mean myrosinase activities for the F1 progeny were 0.35 nmol mg-1 min-1 (with Low as the maternal parent) and 0.51 nmol mg-1 min-1 (with High as the maternal parent). This pattern suggests a maternal effect on myrosinase activity, which is expected because of the maternally dominated genome of cotyledon tissue. In a set of reciprocal backcrosses, significant effects of the original parental lines on myrosinase activity occurred when these lines were pollen receivers in the backcross, not when they were pollinators, also supporting a maternal inheritance pattern. A significant (P < 0.05) but weak simple additive genetic inheritance of myrosinase activity was also detected. Key words: Myrosinase, myrosinase activity, glucosinolates, inheritance, Brassica juncea, cotyledons
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".