ArticlePloS one2015
Inclusive Composite Interval Mapping of QTL by Environment Interactions in Biparental Populations.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed, 104 citations in OpenAlex.
- Korean Soybean Nested Association Mapping (K-SoyNAM) population: genetic linkage map, genetic mapping, and genotype imputation.BMC genomics · 2026Article
- Integrated high-density genetic maps in multi-parent FBMC plant biology · 2026Article
- Candidate genes for kernel ratio in maize identified via combined GWAS and QTL mapping across multiple environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genetic Basis and Simulated Breeding Strategies for Enhancing Soybean Seed Protein Content Across Multiple Environments.Plants (Basel, Switzerland) · 2025Article
- High resolution QTL mapping and candidate gene mining for seed oil content and fatty acid composition in soybean.BMC plant biology · 2025Article
- Identification and development of KASP markers for genetic loci controlling plant height in bread wheat and evaluation their effects using near isogenic lines.BMC plant biology · 2025Article
- Genetic mapping of loci associated with yield and their components in black common bean (Phaseolus vulgaris L.).The plant genome · 2025Article
- Discovery and validation of SSR marker-based QTL governing fresh pod yield in dolichos bean (Lablab purpureus L. Sweet).Scientific reports · 2025Article
- Mapping and Validation of Quantitative Trait Loci on Yield-Related Traits Using Bi-Parental Recombinant Inbred Lines and Reciprocal Single-Segment Substitution Lines in Rice (Plants (Basel, Switzerland) · 2024Article
- Genetic dissection of resistance to Phytophthora sojae using genome-wide association and linkage analysis in soybean [Glycine max (L.) Merr.].TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Understanding genome structure facilitates the use of wild lentil germplasm for breeding: A case study with shattering loci.The plant genome · 2024Article
- Pathogenicity, Host Resistance, and Genetic Diversity ofJournal of fungi (Basel, Switzerland) · 2024Article
- Aspartyl proteases identified as candidate genes of a fiber length QTL, qFLTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Identification of reliable QTLs and designed QTL breeding for grain shape and milling quality in the reciprocal introgression lines in rice.BMC plant biology · 2024Article
- Identification of quantitative trait loci and candidate genes for seed folate content in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- QTL Mapping for Important Agronomic Traits Using a Wheat55K SNP Array-Based Genetic Map in Tetraploid Wheat.Plants (Basel, Switzerland) · 2023Article
- A simulation-based assessment of the efficiency of QTL mapping under environment and genotype x environment interaction effects.PloS one · 2023Article
- Identification of QTN-by-environment interactions for yield related traits in maize under multiple abiotic stresses.Frontiers in plant science · 2023Article
- QTL cluster analysis and marker development for kernel traits based on DArT markers in spring bread wheat (Frontiers in plant science · 2023Article
- Mapping quantitative trait loci and predicting candidate genes forFrontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identification of environment-specific QTL and stable QTL having consistent genetic effects across a wide range of environments is of great importance in plant breeding. Inclusive Composite Interval Mapping (ICIM) has been proposed for additive, dominant and epistatic QTL mapping in biparental populations for single environment. In this study, ICIM was extended to QTL by environment interaction (QEI) mapping for multi-environmental trials, where the QTL average effect and QEI effects could be properly estimated. Stepwise regression was firstly applied in each environment to identify the most significant marker variables which were then used to adjust the phenotypic values. One-dimensional scanning was then conducted on the adjusted phenotypic values across the environments in order to detect QTL with either average effect or QEI effects, or both average effect and QEI effects. In this way, the genetic background could be well controlled while the conventional interval mapping was applied. An empirical method to determine the threshold of logarithm of odds was developed, and the efficiency of the ICIM QEI mapping was demonstrated in simulated populations under different genetic models. One actual recombinant inbred line population was used to compare mapping results between QEI mapping and single-environment analysis.
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