ArticleGenetics2010
The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations.
Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Skinny kelp (Journal of applied phycology · 2022Article
- Genomic structural equation modelling provides a whole-system approach for the future crop breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Quantitative Trait Loci Mapping of Adult Plant and Seedling Resistance to Stripe Rust (Frontiers in plant science · 2021Article
- Identification of a candidate gene underlying qKRN5b for kernel row number in Zea mays L.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2019Article
- Genetic Dissection of Resistance to the Three Fungal Plant PathogensG3 (Bethesda, Md.) · 2019Article
- The complex genetic architecture of shoot growth natural variation in Arabidopsis thaliana.PLoS genetics · 2019Article
- Prediction of Complex Traits: Robust Alternatives to Best Linear Unbiased Prediction.Frontiers in genetics · 2018Article
- QTL Mapping of Kernel Number-Related Traits and Validation of One Major QTL for Ear Length in Maize.PloS one · 2016Article
- Emerging Genomic Tools for Legume Breeding: Current Status and Future Prospects.Frontiers in plant science · 2016Review
- The genetic basis of natural variation in seed size and seed number and their trade-off using Arabidopsis thaliana MAGIC lines.Genetics · 2014Article
- Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.Genetics · 2014Article
- Genomic regions underlying agronomic traits in linseed (Linum usitatissimum L.) as revealed by association mapping.Journal of integrative plant biology · 2014Article
- Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementarities between models based on parental haplotype and single locus polymorphism.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Fine mapping a major QTL for kernel number per row under different phosphorus regimes in maize (Zea mays L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2013Article
- Genetic architecture of complex agronomic traits examined in two testcross populations of rye (Secale cereale L.).BMC genomics · 2012Article
- Article
- The QTN program and the alleles that matter for evolution: all that's gold does not glitter.Evolution; international journal of organic evolution · 2012Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Using advanced intermated populations has been proposed as a way to increase the accuracy of mapping experiments. An F(3) population of 300 lines and an advanced intermated F(3) population of 322 lines, both derived from the same parental maize inbred lines, were jointly evaluated for dry grain yield (DGY), grain moisture (GM), and silking date (SD). Genetic variance for dry grain yield was significantly lower in the intermated population compared to the F(3) population. The confidence interval around a QTL was on average 2.31 times smaller in the intermated population compared to the F(3) population. One controversy surrounding QTL mapping is whether QTL identified in fact represent single loci. This study identifies two distinct loci for dry grain yield in the intermated population in coupling phase, while the F(3) identifies only a single locus. Surprisingly, fewer QTL were detected in the intermated population than the F(3) (21 vs. 30) and <50% of the detected QTL were shared among the two populations. Cross-validation showed that selection bias was more important in the intermated population than in the F(3) and that each detected QTL explained a lower percentage of the variance. This finding supports the hypothesis that QTL detected in conventional populations correspond mainly to clusters of linked QTL. The actual number of QTL involved in the genetic architecture of complex traits may be substantially larger, with effect sizes substantially smaller than in conventional populations.
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