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. 2022 Jan 5;17(1):e0262278.
doi: 10.1371/journal.pone.0262278. eCollection 2022.

Variation of phenotypic and physiological traits of Robinia pseudoacacia L. from 20 provenances

Qi Guo  1   2   3   4 , Yuhan Sun  2   3   4 , Jiangtao Zhang  5 , Yun Li  2   3   4
Affiliations

Variation of phenotypic and physiological traits of Robinia pseudoacacia L. from 20 provenances

Qi Guo et al. PLoS One. .

Abstract

To select elite Robinia pseudoacacia L. germplasm resources for production, 13 phenotypes and three physiological indicators of 214 seedlings from 20 provenances were systematically evaluated and analyzed. The leaf phenotypic and physiological coefficients of variation among the genotypes ranged from 3.741% to 19.599% and from 8.260% to 42.363%, respectively. The Kentucky provenance had the largest coefficient of variation (18.541%). The average differentiation coefficients between and within provenances were 34.161% and 38.756%, respectively. These close percentages showed that R. pseudoacacia presented high genetic variation among and within provenances, which can be useful for assisted migration and breeding programs. Furthermore, based on the results of correlations, principal component analysis and cluster analysis, breeding improvements targeting R. pseudoacacia's ornamental value, food value, and stress resistance of were performed. Forty and 30 excellent individuals, accounting for 18.692% and 14.019%, respectively, of the total resources. They were ultimately screened, after comprehensively taking into considering leaf phenotypic traits including compound leaf length, leaflet number and leaflet area and physiological characteristics including proline and soluble protein contents. These selected individuals could provide a base material for improved variety conservation and selection.

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Conflict of interest statement

We declare that (1) the authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper; (2) This work was supported by Youth Science Foundation of Henan Province (202300410136), National Nature Science Foundation of China (31570677), the National Key R&D Program of China (2017YFD0600503), and the National Forestry and Grassland Administration of Science and Technology Development Center Project (2016007); (3) All authors agree with the decision to submit the report for publication; and (4) This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1
Fig 1. Distribution patterns of coefficients of variation of 16 tested traits of R. pseudoacacia L. in 20 provenances.
Fig 2
Fig 2. Heat map of a correlation analysis of 16 parameters from 214 R. pseudoacacia L. samples.
Notes: *, P<0.05; **, P<0.01.
Fig 3
Fig 3. Cluster analysis based on leaf phenotypic and physiological traits of 20 R. pseudoacacia L. provenances.
Fig 4
Fig 4. Cluster diagram of 16 test indicators of 214 samples.
Fig 5
Fig 5
Relationships between geographical distance and tested trait distance for R. pseudoacacia L. (A: leaf phenotypic trait level, B: physiological level).
See this image and copyright information in PMC

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