Evidence map›Paper›PMID 41540337›Full record

ArticleBMC genomics2026

Genome-wide association study for root-related traits at vegetative growth stages of soybean (Glycine max L. Merrill).

Giriraj Kumawat, Nisha Agrawal, Rishiraj Raghuvanshi, Harsha Shrivastava, Shreya Verma, Rucha Kavishwar, Subhash Chandra, Prince Choyal, Shivakumar Maranna, Vennampally Nataraj and 8 more

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Article in BMC genomics, 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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5 · Who and what money

Authors and funding

18 authors.

Giriraj KumawatICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India. girirajbtc@gmail.com.
Nisha AgrawalICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Rishiraj RaghuvanshiICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Harsha ShrivastavaICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Shreya VermaICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Rucha KavishwarICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Subhash ChandraICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Prince ChoyalICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Shivakumar MarannaICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Vennampally NatarajICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Mrinal K KuchlanICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Punam KuchlanICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Gyanesh Kumar SatputeICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Milind B RatnaparkheICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Vangala RajeshICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Sanjay GuptaICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.
Ajay Kumar SinghICAR- National Institute of Abiotic Stress Management, Baramati, Pune, India.
Kunwar Harendra SinghICAR- National Soybean Research Institute, Indore, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnhancing plant adaptation to challenging climates through breeding techniques requires studying plant systems with diverse genetic architectures. Comprehensive understanding of the genetic architecture of root traits is crucial for analyzing overall plant development and incorporating these insights into crop breeding programs on challenging climate adaptation. To dissect genetic architecture of root traits in soybean, we applied genome-wide association study (GWAS) in soybean germplasm population. Phenotyping of six root-related traits was performed at two plant growth stages, V

resultsTotal 58 single nucleotide polymorphisms (SNPs) associated with six root-related traits were detected for two growth stages using three GWAS models, Mixed Linear Model (MLM), the Fixed and Random Model Circulating Probability Unification (FarmCPU) and 3 V multi-locus random-SNP-effect Mixed Linear Model (3VmrMLM). A total of 35 SNPs were detected for six root traits at V

conclusionIn this study, we offer new insights into the root architecture of soybean, identifying key SNPs and genes that could be instrumental in future breeding programs aimed at developing highly efficient root systems in soybean.

Indexed as

Genome-Wide Association StudyGlycine maxPlant RootsGenome, PlantPhenotypePolymorphism, Single NucleotideQuantitative Trait LociCandidate genesGWASMolecular breedingRoot traitsSNPs

Identifiers

PMID41540337
PMCPMC12892796

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