ArticleGenetics and molecular biology2013
Epistasis interaction of QTL effects as a genetic parameter influencing estimation of the genetic additive effect.
Article in Genetics and molecular biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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21 citing papers in PubMed.
- MAGIC populations: a next-generation framework for dissecting complex quantitative traits and accelerating molecular breeding in crops.Frontiers in plant science · 2026Review
- Novel loci for flag leaf thickness with breeding potential: genetic dissection and candidate genes prediction.Frontiers in plant science · 2026Article
- Genotype by year interaction and additive and epistasis gene effects for Fusarium stalk rot resistance in doubled haploid lines of maize (Zea mays L.).Journal of applied genetics · 2025Article
- Discovery and validation of SSR marker-based QTL governing fresh pod yield in dolichos bean (Lablab purpureus L. Sweet).Scientific reports · 2025Article
- Integrative genomic and transcriptomic dissection of salt tolerance forFrontiers in plant science · 2025Article
- Quantifying Genetic Parameters for Blackleg Resistance in Rapeseed: A Comparative Study.Plants (Basel, Switzerland) · 2024Article
- Searching for gene-gene interactions through variance quantitative trait loci of 29 continuous Taiwan Biobank phenotypes.Frontiers in genetics · 2024Article
- The use of weighted multiple linear regression to estimate QTL × QTL × QTL interaction effects of winter wheat (Triticum aestivum L.) doubled-haploid lines.Journal of applied genetics · 2023Article
- A Comparison of Methods to Estimate Additive-by-Additive-by-Additive of QTL×QTL×QTL Interaction Effects by Monte Carlo Simulation Studies.International journal of molecular sciences · 2023Article
- Comprehensive evaluation of mapping complex traits in wheat using genome-wide association studies.Molecular breeding : new strategies in plant improvement · 2022Review
- Genetic Dissection of Epistatic Interactions Contributing Grain Yield Variability in Rice under Drought.Current genomics · 2021Article
- Identification of QTLs Linked to Phenological and Morphological Traits in RILs Population of Horsegram (Frontiers in genetics · 2021Article
- Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
- High Density Mapping of Quantitative Trait Loci Conferring Gluten Strength in Canadian Durum Wheat.Frontiers in plant science · 2020Article
- Genetic Parameters and QTLs for Total Phenolic Content and Yield of Wheat Mapping Population of CSDH Lines under Drought Stress.International journal of molecular sciences · 2019Article
- Mapping QTLs of flag leaf morphological and physiological traits related to aluminum tolerance in wheat (Physiology and molecular biology of plants : an international journal of functional plant biology · 2019Article
- Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.).Journal of applied genetics · 2019Article
- TheFrontiers in plant science · 2019Article
- Molecular Mapping of QTLs for Heat Tolerance in Chickpea.International journal of molecular sciences · 2018Article
- Molecular Genetics and Breeding for Nutrient Use Efficiency in Rice.International journal of molecular sciences · 2018Review
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Abstract
Epistasis, an additive-by-additive interaction between quantitative trait loci, has been defined as a deviation from the sum of independent effects of individual genes. Epistasis between QTLs assayed in populations segregating for an entire genome has been found at a frequency close to that expected by chance alone. Recently, epistatic effects have been considered by many researchers as important for complex traits. In order to understand the genetic control of complex traits, it is necessary to clarify additive-by-additive interactions among genes. Herein we compare estimates of a parameter connected with the additive gene action calculated on the basis of two models: a model excluding epistasis and a model with additive-by-additive interaction effects. In this paper two data sets were analysed: 1) 150 barley doubled haploid lines derived from the Steptoe × Morex cross, and 2) 145 DH lines of barley obtained from the Harrington × TR306 cross. The results showed that in cases when the effect of epistasis was different from zero, the coefficient of determination was larger for the model with epistasis than for the one excluding epistasis. These results indicate that epistatic interaction plays an important role in controlling the expression of complex traits.
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