Evidence map›Paper›PMID 42550823›Full record

ArticlePloS one2026

Genetic diversity and yield trait associations in soybean germplasm using SSR markers.

Hailong Zong, Xiaolei Li, Songyin Liu, Hongchun Bao, Chongyang Bai

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hailong ZongAgricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.ORCID https://orcid.org/0009-0005-9390-3122
Xiaolei LiAgricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Songyin LiuAgricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.
Hongchun BaoAgricultural and Animal Husbandry Technology Extension Center of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia, China.
Chongyang BaiAgricultural College, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean (Glycine max (L.) Merrill), a vital food and oilseed crop native to China, has the development of high-yield and high-quality new varieties as a core objective in soybean breeding. However, studies on genetic diversity and marker-trait associations for yield-related traits across multiple environments using simple sequence repeat (SSR) markers remain limited. This study utilized 20 pairs of SSR primers to investigate genetic diversity and marker-trait associations (MTAs) between SSR markers and yield-related traits in 150 soybean accessions of diverse origins, which were grown under two environmental conditions. Genetic diversity analysis of 12 key agronomic traits, including plant height, number of branches, number of pods per plant, and hundred-seed weight, showed substantial phenotypic variation with large ranges and high coefficients of variation among the accessions. Cluster analysis based on agronomic traits classified the germplasm into five clusters under environment E1 and four clusters under environment E2. SSR primer amplification of the accessions' genomic DNA produced an average of 7.10 amplified loci and 6.80 polymorphic loci per primer pair, with an average polymorphic locus rate of 96%. The average values of effective allele number (Ne), gene diversity index (H), Shannon's information index (I), polymorphism information content (PIC), and genetic similarity coefficient (GSC) were 1.5035, 0.3581, 0.5176, 0.3539, and 0.57, respectively. SSR-based cluster analysis divided the 150 accessions into three distinct clusters. Principal coordinate analysis (PCoA) validated that the selected SSR primers could effectively discriminate among the accessions. Population structure analysis indicated complex genetic relationships and substantial genetic diversity within the germplasm panel. Association analysis between agronomic traits and SSR markers identified 44 markers significantly associated with yield-related traits, of which 13 were simultaneously linked to two or more yield-related traits. Using generalized linear model (GLM) and mixed linear model (MLM) analyses, six SSR markers significantly associated with yield-related traits were consistently detected across the two environments. These results provide a theoretical basis for germplasm utilization and molecular breeding in soybean.

Indexed as

Genetic VariationGlycine maxMicrosatellite RepeatsSeedsCluster AnalysisGenetic MarkersPhenotypePolymorphism, GeneticQuantitative Trait LociGenetic Markers

Identifiers

PMID42550823
PMCPMC13436762

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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.