Evidence map›Paper›PMID 42500473›Full record

ArticleFrontiers in plant science2026

Genetic characterization of commercial spring maize germplasm in Northern China for hybrid breeding and trait improvement.

Yuhan Song, Hongsen Nong, Zhenyang Liao, Yanyan Wang, Hongying Yu, Guohua Du, Yuxiao Chang, Cong Tan, Xingtan Zhang, Hong Lu

Abstract read
In one paragraph

Article in Frontiers in plant science, 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Yuhan SongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Hongsen NongShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zhenyang LiaoSpice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning, Hainan, China.
Yanyan WangCollege of Agriculture, South China Agricultural University, Guangzhou, Guandong, China.
Hongying YuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Guohua DuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yuxiao ChangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Cong TanState Key Laboratory of Agricultural Genomics, Key Laboratory of Genomics, Ministry of Agriculture, BGI Research, Shenzhen, China.
Xingtan ZhangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Hong LuShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Commercial spring maize germplasm in northern China has been shaped by five decades of intensive breeding and the continual incorporation of elite domestic and introduced germplasm, but its genetic diversity, pedigree structure, and genomic signatures of selection remain incompletely characterized. Methods: We re-sequenced 108 representative inbred lines from China's commercial spring maize germplasm and combined them with 14 previously published key inbred lines. Population structure, genetic diversity, identity-by-descent, selective sweeps, and haplotype-trait associations were analyzed across seven heterotic groups. Results: The 122 inbred lines represented nearly five decades of elite maize germplasm in northern China. Modern breeding materials showed reduced nucleotide diversity, with π decreasing from 1.58 × 10-3 to 1.34 × 10-3, and an increased deleterious mutation burden. We identified 275 Mb of high-impact IBD regions shared among elite germplasm, containing genes associated with flowering, plant architecture, photosynthesis, and grain quality. Selective sweep analyses detected genomic regions associated with agronomic traits including grain quality and floral organ development. Haplotype analyses further revealed natural alleles related to tassel structure, with differential allele frequencies between the SS and TSPT heterotic groups. Discussion: These findings provide a genomic resource for northern Chinese commercial maize germplasm and support future heterotic group optimization, marker-assisted breeding, and genomic selection.

Indexed as

germplasm resourceidentity by descentmaizeselective sweepwhole-genome resequencing

Identifiers

PMID42500473
PMCPMC13396026

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