Evidence map›Paper›PMID 41164250›Full record

ArticleFrontiers in plant science2025

Yield and yield component trait analysis with DArT genotyping for GWAS in soybean grown in drought conditions of Kazakhstan.

Aigul Amangeldiyeva, Raushan Yerzhebayeva, Shynar Mazkirat, Svetlana Didorenko, Sholpan Bastaubayeva, Bekzhan Maikotov, Rinat Kassenov, Assel Jenisbayeva, Yuri Shavrukov

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Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Aigul AmangeldiyevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Raushan YerzhebayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Shynar MazkiratKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Svetlana DidorenkoKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Sholpan BastaubayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Bekzhan MaikotovKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Rinat KassenovKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Assel JenisbayevaKazakh Research Institute of Agriculture and Plant Growing, Almalybak, Kazakhstan.
Yuri ShavrukovCollege of Science and Engineering, Biological Sciences, Flinders University, Adelaide, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of drought tolerant cultivars of soybean is the single best way to address the challenge of global climate change and very limited water resources for crop irrigation in Central Asia including Kazakhstan. A set of 188 soybean cultivars with diverse origins was assessed for genome-wide association study (GWAS) for yield and eight yield-related traits in both irrigated (well-watered, WW) and non-irrigated (drought) conditions during 2 years in field trials in South-Eastern Kazakhstan. The 295K Diversity array technology (DArT) analysis was applied, and 16K filtered DArT markers were used for genotyping of 183 soybean accessions. In the results, 41 quantitative trait nucleotides (QTN) were identified as significantly associated with nine studied traits. To verify these results, bulk segregant analysis (BSA) was carried out in six breeding lines originating from two crosses between high-yielding under drought cvs, Sponsor and Zen, with drought sensitive cv Lastochka. The evaluation of combined results revealed 10 most significant QTN and eight most promising putative candidate genes, which were selected and tested for their gene expression using RT-qPCR under drought compared with WW controls. Among them, glucose-6-phosphate isomerase (

Indexed as

bulk segregant analysis (BSA)candidate genes verificationDiversity array technology (DArT)droughtfield trialgene expressiongenome-wide association study (GWAS)molecular genetic dendrogram

Identifiers

PMID41164250
PMCPMC12558979

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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.