Evidence map›Paper›PMID 36636831›Full record

ArticleThe plant genome2023

Genome-wide association analysis of spike and kernel traits in the U.S. hard winter wheat.

Jyotirmoy Halder, Harsimardeep S Gill, Jinfeng Zhang, Rami Altameemi, Eric Olson, Brent Turnipseed, Sunish K Sehgal

Abstract read
In one paragraph

Article in The plant genome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Ancient diversity ofFrontiers in plant science · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jyotirmoy HalderDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.
Harsimardeep S GillDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.
Jinfeng ZhangDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.
Rami AltameemiDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.
Eric OlsonDep. of Plant, Soil and Microbial Sciences, Michigan State Univ., East Lansing, MI, 48824, USA.
Brent TurnipseedDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.
Sunish K SehgalDep. of Agronomy, Horticulture & Plant Science, South Dakota State Univ., Brookings, SD, 57007, USA.ORCID 0000-0001-5644-7547

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A better understanding of the genetic control of spike and kernel traits that have higher heritability can help in the development of high-yielding wheat varieties. Here, we identified the marker-trait associations (MTAs) for various spike- and kernel-related traits in winter wheat (Triticum aestivum L.) through genome-wide association studies (GWAS). An association mapping panel comprising 297 hard winter wheat accessions from the U.S. Great Plains was evaluated for eight spike- and kernel-related traits in three different environments. A GWAS using 15,590 single-nucleotide polymorphisms (SNPs) identified a total of 53 MTAs for seven spike- and kernel-related traits, where the highest number of MTAs were identified for spike length (16) followed by the number of spikelets per spike (15) and spikelet density (11). Out of 53 MTAs, 14 were considered to represent stable quantitative trait loci (QTL) as they were identified in multiple environments. Five multi-trait MTAs were identified for various traits including the number of spikelets per spike (NSPS), spikelet density (SD), kernel width (KW), and kernel area (KA) that could facilitate the pyramiding of yield-contributing traits. Further, a significant additive effect of accumulated favorable alleles on the phenotype of four spike-related traits suggested that breeding lines and cultivars with a higher number of favorable alleles could be a valuable resource for breeders to improve yield-related traits. This study improves the understanding of the genetic basis of yield-related traits in hard winter wheat and provides reliable molecular markers that will facilitate marker-assisted selection (MAS) in wheat breeding programs.

Indexed as

Genome-Wide Association StudyTriticumPhenotypePlant BreedingQuantitative Trait Loci

Identifiers

PMID36636831
PMCPMC12806900

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.