Evidence map›Paper›PMID 42343961›Full record

ArticleFrontiers in plant science2026

Identification of QTLs and genes regulating panicle number through genome-wide association studies in

Fengmei Li, Xiaoqian Ma, Jianyin Xie, Xiaoyang Zhu, Xueqiang Wang, Jianxin Liang, Muhammad Abdul Rehman Rashid, Haifeng Guo, Zhanying Zhang, Jinjie Li and 3 more

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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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5 · Who and what money

Authors and funding

13 authors.

Fengmei Li *School of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Xiaoqian Ma *College of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Jianyin XieSchool of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Xiaoyang ZhuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Xueqiang WangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Jianxin LiangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Muhammad Abdul Rehman RashidCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Haifeng GuoCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Zhanying ZhangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Jinjie LiCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Zichao LiCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, China.
Jie LuoSchool of Tropical Agriculture and Forestry, Hainan University, Haikou, China.
Hongliang ZhangSchool of Tropical Agriculture and Forestry, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Panicle number is a key determinant of grain yield and plant architecture in rice. Here, we investigated quantitative trait loci (QTLs) and genetic factors associated with panicle number using genome-wide association studies. Methods: We used 3.3 million high-quality single nucleotide polymorphisms and phenotypic data from the Micro Core Collection and Expanded Micro Core Collection, evaluated under two photoperiods across three agroecological zones in China (12 datasets). Results: We identified 138 QTLs associated with panicle number. Several previously cloned genes, including Conclusion: The identified QTLs and candidate genes provide valuable resources for regulating panicle number in rice through marker-assisted selection, supporting future rice breeding efforts.

Indexed as

candidate genegenome-wide association studyOryza sativa L.panicle numberquantitative trait loci

Identifiers

PMID42343961
PMCPMC13287107

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