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Genome-wide association study and genomic selection for yield and related traits in soybean — Europe PMC PMID:34388193

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/34388193
DOI: 10.1371/journal.pone.0255761
License (as archived): CC0-1.0
Archived: 2026-11-03T07:55:42.104Z
SHA-256 of the archived text: 0e3109da187da1e895223fdaa754e0c6c2b953ef658aa9bd972fcc41632ee160
Stable URL of this page: https://metraipolis.com/documento/dc_da4957ea704e

How to cite

Genome-wide association study and genomic selection for yield and related traits in soybean — Europe PMC PMID:34388193 — Europe PMC (en), https://europepmc.org/article/MED/34388193 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_da4957ea704e (Metraipolis archive dc_da4957ea704e, sha256 0e3109da187da1e895223fdaa754e0c6c2b953ef658aa9bd972fcc41632ee160)

BibTeX

@misc{dcda4957ea704e,
  title = {Genome-wide association study and genomic selection for yield and related traits in soybean — Europe PMC PMID:34388193},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/34388193},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_da4957ea704e; sha256 0e3109da187da1e895223fdaa754e0c6c2b953ef658aa9bd972fcc41632ee160},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/34388193. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Soybean [Glycine max (L.) Merr.] is a crop of great interest worldwide. Exploring molecular approaches to increase yield genetic gain has been one of the main challenges for soybean breeders and geneticists. Agronomic traits such as maturity, plant height, and seed weight have been found to contribute to yield. In this study, a total of 250 soybean accessions were genotyped with 10,259 high-quality SNPs postulated from genotyping by sequencing (GBS) and evaluated for grain yield, maturity, plant height, and seed weight over three years. A genome-wide association study (GWAS) was performed using a Bayesian Information and Linkage Disequilibrium Iteratively Nested Keyway (BLINK) model. Genomic selection (GS) was evaluated using a ridge regression best linear unbiased predictor (rrBLUP) model. The results revealed that 20, 31, 37, and 23 SNPs were significantly associated with maturity, plant height, seed weight, and yield, respectively; Many SNPs were mapped to previously described maturity and plant height loci (E2, E4, and Dt1) and a new plant height locus was mapped to chromosome 20. Candidate genes were found in the vicinity of the two SNPs with the highest significant levels associated with yield, maturity, plant height, seed weight, respectively. A 11.5-Mb region of chromosome 10 was associated with both yield and seed weight. Overall, the accuracy of GS was dependent on the trait, year, and population structure, and high accuracy indicates that these agronomic traits can be selected in molecular breeding through GS. The SNP markers identified in this study can be used to improve yield and agronomic traits through the marker-assisted selection and GS in breeding programs.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2021 (prima pubblicazione 2021-08-13).
Identificativi: PMID 34388193 · PMCID PMC8362977 · DOI 10.1371/journal.pone.0255761.
Descrittori MeSH principali: Genome-Wide Association Study.
Pagina: https://europepmc.org/article/MED/34388193 — https://doi.org/10.1371/journal.pone.0255761. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-11-03T07:49:57.189Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.