Epistatic contributions to quantitative traits in Tribolium castaneum
- 1 July 1978
- journal article
- research article
- Published by Springer Nature in Theoretical and Applied Genetics
- Vol. 51 (4) , 193-198
- https://doi.org/10.1007/bf00273145
Abstract
Triple-testcross experiments were used to analyze epistatic contributions to larva weight, pupa weight, pupa width and adult weight in Tribolium castaneum. Seven diverse inbred lines and the F1. produced by crossing the two tester lines were examined for indications of epistasis. Larva weight was the only trait for which no significant epistasis was detected. There was significant epistasis for pupa weight in three of the inbred lines; for pupa width in four of the inbred lines; for adult weight in five of the inbred lines. Only one inbred line and the F1 line failed to exhibit significant epistasis for any trait. Each inbred line had a unique pattern of epistasis, suggesting that a number of different loci were contributing to the detected epistasis.Keywords
This publication has 12 references indexed in Scilit:
- Simulation of quantitative characters from qualitatively acting genesTheoretical and Applied Genetics, 1972
- Simulation of quantitative characters from qualitatively acting genesTheoretical and Applied Genetics, 1971
- Simulation of quantitative characters by genes with biochemically definable action. III. The components of genetic effects in the inheritance of anthocyanins in Matthiola incana R. Br.Theoretical and Applied Genetics, 1971
- A general method for the detection of additive, dominance and epistatic components of variation III. F2 and backcross populationsHeredity, 1970
- A general method of detecting additive, dominance and epistatic variation for metrical traits II. Application to inbred linesHeredity, 1969
- A general method of detecting additive, dominance and epistatic variation for metrical traits I. TheoryHeredity, 1968
- The Components of Genetic Variance in Populations of Biparental Progenies and Their Use in Estimating the Average Degree of DominanceBiometrics, 1948