Evidence map›Paper›PMID 32714377›Full record

ArticleFrontiers in genetics2020

Marker-Trait Association Analysis of Seed Traits in Accessions of Common Bean (

Lei Lei, Lanfen Wang, Shumin Wang, Jing Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-weighted citation impact, top 7% of its field
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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetic Diversity of Common Bean (Plants (Basel, Switzerland) · 2024
    Article
  4. Genetic control of pod morphological traits and pod edibility in a common bean RIL population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  5. Article
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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

4 authors at 3 institutions in 1 country.

Lei LeiInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Lanfen WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Shumin WangInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Jing WuInstitute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China.
Chinese Academy of Agricultural Sciences · CNInstitute of Crop Sciences · CNInstitute of Vegetables and Flowers · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed weight and seed size are the key agronomic traits that determine yield in common bean. To investigate the genetic architecture of four seed traits (100-seed weight, seed length, seed width, and seed height) of common bean in China, marker-trait association analysis of these seed traits was performed in a nationwide population of 395 common bean accessions using 116 polymorphic SSR markers. The four seed traits were evaluated in six trials across three environments. Seed size varied among the environments. Population structure was evaluated based on SSR markers and phaseolin, which divided the accessions into two main subpopulations representing the two known gene pools. Seed weight and seed size had a strong relationship with population clustering. In addition, in a Genome-wide association studies (GWAS), 21 significantly associated markers were identified for the four seed traits with two models, namely, general linear model (GLM) and mixed linear model (MLM). Some markers had pleiotropic effects, i.e., controlled more than one trait. The significant quantitative trait loci identified in this study could be used in marker-assisted breeding to accelerate the genetic improvement of yield in common bean.

Indexed as

common beanGWASpopulation structureseed sizeseed weight

Identifiers

PMID32714377
PMCPMC7344293
OpenAlexW3038776161

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.