Phenotypic variation and diversity assessment in maize landraces

Maize landraces are invaluable reservoirs of genetic diversity for crop improvement, yet systematic evaluation of their quantitative traits remains insufficient. In this study, 119 maize landraces were evaluated for nine quantitative traits related to yield and tassel morphology. Genetic diversity indices, principal component analysis(PCA), cluster analysis, and stepwise regression were applied to characterize phenotypic variation and identify core evaluation indicators. The landraces exhibited substantial genetic variation, with coefficients of variation ranging from 20.73% to 60.96% and Shannon-Winner index from 0.88 to 0.98. PCA extracted four principal components explaining 68.81% of the total variation, with the first component (24.17%) primarily driven by the number of secondary tassel branches. Based on comprehensive D values (0.033-0.960), ten superior landraces were identified, including Z102, Z7, and Z89. Cluster analysis classified the 119 landraces into three groups differing in tassel morphology, grain characteristics, and agronomic performance. Stepwise regression further identified four key indicators-number of secondary tassel branches, angle between primary tassel branches and main axis, tassel diameter, and number of spike rows-as the most informative traits for breeding selection. These results provide a practical framework for the efficient exploitation of maize landrace resources and the identification of elite breeding materials.

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Publication Details

Journal
PLoS ONE
Published
2026-08-14
DOI
https://doi.org/10.1371/journal.pone.0355741
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00

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article

Phenotypic variation and diversity assessment in maize landraces

Lianghai Guo, Dongbo Zhao, Huini Cui, Longxue Wei et al.
PLoS ONE
Genetics and Plant Breeding
article

Phenotypic variation and diversity assessment in maize landraces

Lianghai Guo, Dongbo Zhao, Huini Cui, Longxue Wei, Zhihui Guo, Jianjun Guo, Liang Zhang, Yirong Jin, Peng Liu, Jiansheng Gao
article en

Abstract

Maize landraces are invaluable reservoirs of genetic diversity for crop improvement, yet systematic evaluation of their quantitative traits remains insufficient. In this study, 119 maize landraces were evaluated for nine quantitative traits related to yield and tassel morphology. Genetic diversity indices, principal component analysis(PCA), cluster analysis, and stepwise regression were applied to characterize phenotypic variation and identify core evaluation indicators. The landraces exhibited substantial genetic variation, with coefficients of variation ranging from 20.73% to 60.96% and Shannon-Winner index from 0.88 to 0.98. PCA extracted four principal components explaining 68.81% of the total variation, with the first component (24.17%) primarily driven by the number of secondary tassel branches. Based on comprehensive D values (0.033-0.960), ten superior landraces were identified, including Z102, Z7, and Z89. Cluster analysis classified the 119 landraces into three groups differing in tassel morphology, grain characteristics, and agronomic performance. Stepwise regression further identified four key indicators-number of secondary tassel branches, angle between primary tassel branches and main axis, tassel diameter, and number of spike rows-as the most informative traits for breeding selection. These results provide a practical framework for the efficient exploitation of maize landrace resources and the identification of elite breeding materials.

PLoS ONEVol. 21(8)
Dezhou University (CN)
Chinese Academy of Agricultural Sciences, Shandong Provincial Key Laboratory of Eco-environmental Science for Yellow River Delta, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences
Zero hunger
Openalex Percentile: Top 11%
Genetics and Plant Breeding
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Phenotypic variation and diversity assessment in maize landraces — Lianghai Guo, Dongbo Zhao, et al. · PLoS ONE (2026) | TGRS Research Map | TGRS