ArticlePloS one2012
Identifying loci influencing 1,000-kernel weight in wheat by microsatellite screening for evidence of selection during breeding.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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
49 citing papers in PubMed.
- A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat.Genome biology · 2023Article
- TaTPP-7A positively feedback regulates grain filling and wheat grain yield through T6P-SnRK1 signalling pathway and sugar-ABA interaction.Plant biotechnology journal · 2023Article
- Fine mapping and genetic analysis identified a CTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Article
- Fine mapping and characterization of a major QTL for grain weight on wheat chromosome arm 5DL.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genome-wide association study of yield-related traits in common wheat (Frontiers in plant science · 2022Article
- A Multi-Omics Approach for Rapid Identification of Large Genomic Lesions at theFrontiers in plant science · 2022Article
- Major Genomic Regions for Wheat Grain Weight as Revealed by QTL Linkage Mapping and Meta-Analysis.Frontiers in plant science · 2022Article
- Identification of genetic loci for flag-leaf-related traits in wheat (Frontiers in plant science · 2022Article
- Genome-wide association mapping for component traits of drought and heat tolerance in wheat.Frontiers in plant science · 2022Article
- A GBS-based GWAS analysis of adaptability and yield traits in bread wheat (Triticum aestivum L.).Journal of applied genetics · 2021Article
- GWAS revealed effect of genotype × environment interactions for grain yield of Nebraska winter wheat.BMC genomics · 2021Article
- Genome-Wide Association Study and Post-genome-Wide Association Study Analysis for Spike Fertility and Yield Related Traits in Bread Wheat.Frontiers in plant science · 2021Article
- Genetic architecture underpinning yield component traits in wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Review
- A wheat transcription factor positively sets seed vigour by regulating the grain nitrate signal.The New phytologist · 2020Article
- Identification and Validation of New Stable QTLs for Grain Weight and Size by Multiple Mapping Models in Common Wheat.Frontiers in genetics · 2020Article
- Dissection of Superior Alleles for Yield-Related Traits and Their Distribution in Important Cultivars of Wheat by Association Mapping.Frontiers in plant science · 2020Article
- The Circadian Clock Gene,Frontiers in plant science · 2020Article
- Identification of TaPPH-7A haplotypes and development of a molecular marker associated with important agronomic traits in common wheat.BMC plant biology · 2019Article
- Elucidating the genetic basis of biomass accumulation and radiation use efficiency in spring wheat and its role in yield potential.Plant biotechnology journal · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chinese wheat mini core collection (262 accessions) was genotyped at 531 microsatellite loci representing a mean marker density of 5.1 cM. One-thousand-kernel weights (TKW) of lines were measured in five trials (three environments in four growing seasons). Structure analysis based on 42 unlinked SSR loci indicated that the materials formed two sub-populations, viz., landraces and modern varieties. A large difference in TKW (7.08 g, P<0.001) was found between the two sub-groups. Therefore, TKW is a major yield component that was improved in the past 6 decades; it increased from a mean 31.5 g in the 1940s to 44.64 g in the 2000s, representing a 2.19 g increase in each decade. Analyses based on a mixed linear model (MLM), population structure (Q) and relative kinship (K) revealed 22 SSR loci that were significantly associated with mean TKW (MTKW) of the five trials estimated by the best linear unbiased predictor (BLUP) method. They were mainly distributed on chromosomes of homoeologous groups 1, 2, 3, 5 and 7. Six loci, cfa2234-3A, gwm156-3B, barc56-5A, gwm234-5B, wmc17-7A and cfa2257-7A individually explained more than 11.84% of the total phenotypic variation. Favored alleles for breeding at the 22 loci were inferred according to their estimated effects on MTKW based on mean difference of varieties grouped by genotypes. Statistical simulation showed that these favored alleles have additive genetic effects. Frequency changes of alleles at loci associated with TKW are much more dramatic than those at neutral loci between the sub-groups. The numbers of favored alleles in modern varieties indicate there is still considerable genetic potential for their use as markers for genome selection of TKW in wheat breeding. Alleles that can be used globally to increase TKW were inferred according to their distribution by latitude and frequency of changes between landraces and the modern varieties.
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.