Evidence map›Paper›PMID 41304656›Full record

ArticlePlants (Basel, Switzerland)2025

Pod Dehiscence in Soybean: Genome Wide Association Study and Genomic Prediction.

Shynar Mazkirat, Kulpash Bulatova, Svetlana Didorenko, Sholpan Bastaubayeva, Dilyara Babissekova, Sholpan Khalbayeva, Azamat Tukenov, Akzhan Yespembetova, Nurgul Saparbayeva, Yuri Shavrukov

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. 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

10 authors.

Shynar MazkiratKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.ORCID 0000-0003-1768-3779
Kulpash BulatovaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Svetlana DidorenkoKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Sholpan BastaubayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Dilyara BabissekovaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Sholpan KhalbayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Azamat TukenovKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Akzhan YespembetovaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Nurgul SaparbayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak 040909, Almaty District, Kazakhstan.
Yuri ShavrukovCollege of Science and Engineering, Biological Sciences, Flinders University, Adelaide, SA 5042, Australia.ORCID 0000-0002-2941-0340

Funding

Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan AP23487849
6 · The paper itself

Abstract

Pod dehiscence is one of the main factors which play a vital role on the final yield of many crops including soybean and, therefore, it is important to elucidate genetic mechanisms associated with this trait. In this study, morphological, physiological and biochemical analysis was conducted for pod and pod-related traits on 170 soybean genotypes with diverse origins. Subsequently, a genome-wide association study (GWAS) was performed using Silico-DArT and DArT SNPs markers. In total, 48 QTLs were identified with 14 stable QTLs, mostly located on chromosomes 6, 13 and 16, corresponding to pod dehiscence and pod-related traits. From putative candidate genes, two most stable and important genes for pod dehiscence with known functions were emphasised from the QTLs: Glyma.13G184500 and Glyma.16G141100, encoding transcription factors DNA-binding bromodomain-containing protein and C2H2 zinc finger protein, respectively. Finally, a genomic prediction approach was implemented to select genotypes most resistant to pod dehiscence. GWAS-derived markers confirmed the stable prediction of pod dehiscence in studied accessions from different populations and the best non-dehiscent soybean genotypes were successfully selected.

Indexed as

DArT markersgenome-wide association study (GWAS)genomic predictionpod dehiscencesoybean

Identifiers

PMID41304656
PMCPMC12655921

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