SynthesisPlanta2020
Major genomic regions responsible for wheat yield and its components as revealed by meta-QTL and genotype-phenotype association analyses.
Synthesis in Planta, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 10 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
39 citing papers in PubMed, 10 syntheses or guidelines pooled it, 75 citations in OpenAlex.
- Unravelling consensus genomic regions conferring stem-related traits in wheat via meta-QTL analysis.BMC plant biology · 2025Pooled it
- Dissection of QTLs underlying the genetic basis of drought resistance in wheat: a meta-analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Pooled it
- Consensus genomic regions for grain quality traits in wheat revealed by Meta-QTL analysis and in silico transcriptome integration.The plant genome · 2023Pooled it
- Meta-QTL analysis and in-silico transcriptome assessment for controlling chlorophyll traits in common wheat.The plant genome · 2023Pooled it
- Genome-wide association study to identify genomic loci associated with early vigor in bread wheat under simulated water deficit complemented with quantitative trait loci meta-analysis.G3 (Bethesda, Md.) · 2023Pooled it
- Deciphering key genomic regions controlling flag leaf size in wheat via integration of meta-QTL and in silico transcriptome assessment.BMC genomics · 2023Pooled it
- Identification of quantitative trait loci (QTL) and meta-QTL analysis for kernel size-related traits in wheat (Triticum aestivum L.).BMC plant biology · 2022Pooled it
- Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification.Scientific reports · 2022Pooled it
- Meta-QTLs, ortho-meta-QTLs and candidate genes for grain yield and associated traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Pooled it
- Genome-wide meta-analysis of QTL for morphological related traits of flag leaf in bread wheat.PloS one · 2022Pooled it
- Deciphering the genetic basis of wheat germination under ZnO nano priming and drought stress through integrated QTL mapping and network analyses.BMC plant biology · 2026Article
- High resolution mapping of agro-morphological and grain traits in bread wheat using SNP-based QTL analysis.PloS one · 2026Article
- Candidate Gene for Kernel-Related Traits in Maize Revealed by a Combination of GWAS and Meta-QTL Analyses.Plants (Basel, Switzerland) · 2025Article
- Unraveling the genetic basis of general combining ability in CIMMYT elite bread wheat germplasm: implications for breeding strategies optimization.Frontiers in plant science · 2025Article
- Integrating RTM-GWAS and meta‑QTL data revealed genomic regions and candidate genes associated with the first fruit branch node and its height in upland cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- GWAS in a Collection of Bulgarian Old and Modern Bread Wheat Accessions Uncovers Novel Genomic Loci for Grain Protein Content and Thousand Kernel Weight.Plants (Basel, Switzerland) · 2024Article
- Proteomic analysis of near-isogenic lines reveals key biomarkers on wheat chromosome 4B conferring drought tolerance.The plant genome · 2024Article
- Meta-QTL analysis and candidate genes for quality traits, mineral content, and abiotic-related traits in wild emmer.Frontiers in plant science · 2024Article
- Meta-QTL mapping for wheat thousand kernel weight.Frontiers in plant science · 2024Article
- Identifying and Characterizing Candidate Genes Contributing to a Grain Yield QTL in Wheat.Plants (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
MAIN
conclusionMeta-QTL (MQTL) analysis was done for yield-related traits in wheat. Candidate genes were identified within the refined MQTL and further validated by genotype-phenotype association analysis. Extensive studies have been undertaken on quantitative trait locus/loci (QTL) for wheat yield and its component traits. This study conducted a meta-analysis of 381 QTL related to wheat yield under various environments, including irrigated, drought- and/or heat-stressed conditions. Markers flanking meta-QTL (MQTL) were mapped on the wheat reference genome for their physical positions. Putative candidate genes were examined for MQTL with a physical interval of less than 20 Mbp. A total of 86 MQTL were identified as responsible for yield, of which 34 were for irrigated environments, 39 for drought-stressed environments, 36 for heat-stressed environments, and 23 for both drought- and heat-stressed environments. The high-confidence genes within the physical positions of the MQTL flanking markers were screened in the reference genome RefSeq V1.0, which identified 210 putative candidate genes. The phenotypic data for 14 contrasting genotypes with either high or low yield performance-according to the Australian National Variety Trials-were associated with their genotypic data obtained through ddRAD sequencing, which validated 18 genes or gene clusters associated with MQTL that had important roles for wheat yield. The detected and refined MQTL and candidate genes will be useful for marker-assisted selection of high yield in wheat breeding.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.