Evidence map›Paper›PMID 41965514›Full record

ArticleBMC plant biology2026

A breeding strategy for high-oleic acid content and high-yield peanut using Tag SNPs and genomic selection.

Minjie Guo, Jianli Miao, Yang Li, Junhua Yin, Peiyun Wang, Feng Luo, Shaowei Li, Junping Hu, Wenhao Liu, Taorui Zhang and 2 more

Abstract read
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Article in BMC plant biology, 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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Authors and funding

12 authors.

Minjie Guo *Peanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Jianli Miao *Peanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Yang LiPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Junhua YinPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Peiyun WangPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Feng LuoHenan Seed Industry Development Center, Department of Agriculture and Rural Affairs of Henan Province, Zhengzhou, 450002, China.
Shaowei LiPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Junping HuPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Wenhao LiuPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Taorui ZhangPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China.
Li RenPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China. renli120@sina.com.
Li DengPeanut Institute, Kaifeng Academy of Agricultural and Forestry Sciences, Kaifeng, 475004, China. dengli_1225@sina.com.

Funding

Agriculture Research System of China CARS-13Hainan Province Science and Technology Innovation "Challenge-Based" Project HKKJ2025JBGS05Henan Provincial Department of Agriculture and Rural Affairs 20220100001Henan Provincial Department of Science and Technology 191110110900Henan Provincial Science and Technology Research Project 191110110900Kaifeng Municipal Bureau of Science and Technology 19ZD004National R & D Center of Peanut Industry Technology System CARS-13
6 · The paper itself

Abstract

backgroundDeveloping peanut varieties with high oleic acid content (OAC) and superior yield is critical for meeting global nutritional and economic demands. To address this, our study integrated marker-assisted breeding with genomic selection (GS), creating an efficient breeding framework. Using a diverse natural population of 169 accessions, we conducted genome-wide association studies (GWAS) and GS analyses to identify Tag single nucleotide polymorphisms (SNPs) associated with OAC and develop a robust yield prediction model.

resultsPhenotypic analysis indicated continuous variation in both OAC and productivity, with broad-sense heritability estimates of 0.9634 and 0.4535, respectively. Only a weak correlation was observed between these two traits. Whole-genome resequencing at approximately 10 × coverage identified 608,809 SNPs. GWAS revealed 32 significant loci associated with OAC, predominantly located on chromosomes 9 and 19, explaining 17.65–26.23% of the phenotypic variation. These loci were grouped into three distinct haplotype blocks, from which three core Tag SNPs (Arahy.9_113845844, Arahy.9_114322963, Arahy.19_154509990) were validated by regression and boxplot analyses. The GS model, developed using a genomic relationship matrix, yielded an additive genetic variance of 0.8626, a residual variance of 1.6915, a heritability estimate of 0.3377 for yield, with a prediction accuracy of 0.58. Validation in the candidate population showed optimal breeding efficiency at a 30% selection intensity using genomic estimated breeding values.

conclusionsThe identified Tag SNPs provides a framework for efficient early-generation selection for OAC, while GS predictions facilitate advanced-generation yield optimization. Our results suggest that this integrated strategy has the potential to improve both quality and yield traits, offering a framework for more efficient breeding of peanut varieties with enhanced OAC and productivity.

Indexed as

ArachisOleic AcidPlant BreedingPolymorphism, Single NucleotideSelection, GeneticGenetic MarkersGenome, PlantGenome-Wide Association StudyPhenotypeQuantitative Trait LociGenetic MarkersOleic AcidBreedingGenome-wide association study (GWAS)Genomic selectionHigh-oleicHigh yieldPeanutTag SNPs

Identifiers

PMID41965514
PMCPMC13078035

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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.