QTL Map Information |
Chromosome: | 12 |
QTL Peak Location: | n/a |
QTL Span: | 113.8-118.4 (cM) 65.4-68.0 (Mbp) |
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Upper, "Suggestive": | OMM5152 |
Upper, "Significant": | n/a |
Peak: | |
Lower, "Significant": | n/a |
Lower, "Suggestive": | OMM1656 |
Marker type: | Microsatellites |
Analysis type: | QTL |
Model tested: | n/a |
Test base: | Experiment-wise |
Threshold significance level: | Suggestive |
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LOD_score | 4.3 | LikelihoodR | 19.9 | F_Stat | 6.93 | VARIANCE | 0.15 | Dominance effect: | n/a |
Additive effect: | n/a |
Associated Gene: | n/a |
Cis/Trans acting type: |  |
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Extended information: |
(none) |
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QTL Experiment in Brief |
Animals: | Two QTL mapping F2 families (2008052 and 2008160) with their corresponding F1 parents and P1 grandparents were used in the current genome scan. Each family had two grandparents (P1 generation), two parents (F1 generation), and 230 and 228 F2 offsprin |
Breeds associated:
n/a
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Design: | There were two QTL mapping F2 families (2008052 and 2008160). Each of the P1, F1 and F2 animals had four repeated measurements of plasma cortisol (cort1, cort2, cort3 and cort4) recorded at about 4-week intervals. Estimated animal breeding value (EBV) was calculated for each individual using the four repeated measurements of plasma cortisol and fitting a mixed inheritance linear model under a Bayesian framework with software iBay version 1.46. An index BLUP was calculated that weighted repeated measurements |
Analysis: | Using software GridQTL, regression interval mapping was performed using both the TREE and F2 modules. |
Software: | GridQTL |
Notes: | |
Links: | Edit |
Reference |
Authors: | Caird E. Rexroad, Roger L. Vallejo, Sixin Liu, Yniv Palti and Gregory M. Weber |
Affiliation: | NCCCWA/USDA-ARS |
Title: | Quantitative Trait Loci Affecting Response to Crowding Stress in an F2 Generation of Rainbow Trout Produced through Phenotypic Selection |
Journal: | Marine Biotechnology, 2013, |
Links: |
PubMed | Abstract | List all data
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Additional Information |
Comments: | population 2008052, EBV, TREE module |

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