Phenotypic variation analysis on leaf traits and selection of optimal forage clones of <i>Robinia pseudoacacia</i> clones in Shandong Province of eastern China

Guo Qi; Sun Yuhan; Zhang Yuanshuai; Chen Xiaoyang; Li Yun

doi:10.12171/j.1000-1522.20200305

Journal of Beijing Forestry University > 2021 > 43(11): 62-70. > DOI: 10.12171/j.1000-1522.20200305

Guo Qi, Sun Yuhan, Zhang Yuanshuai, Chen Xiaoyang, Li Yun. Phenotypic variation analysis on leaf traits and selection of optimal forage clones of Robinia pseudoacacia clones in Shandong Province of eastern China[J]. Journal of Beijing Forestry University, 2021, 43(11): 62-70. DOI: 10.12171/j.1000-1522.20200305

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Phenotypic variation analysis on leaf traits and selection of optimal forage clones of Robinia pseudoacacia clones in Shandong Province of eastern China

1.
College of Agriculture/Tree Peony, Henan University of Science and Technology, Luoyang 471023, Henan, China
2.
Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Engineering Technology Research Center of Black Locust of National Forestry and Grassland Administration, National Engineering Laboratory for Tree Breeding, School of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China
3.
Feixian County State Owned Daqingshan Forest Farm, Feixian 273400, Shandong, China
4.
College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, Guangdong, China

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Received Date: October 11, 2020
Revised Date: December 13, 2020
Available Online: December 06, 2021
Published Date: November 29, 2021

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Abstract

Abstract

Objective The objective of this experiment was to systematically understand the phenotypic variation rule of Robinia pseudoacacia clones in Feixian County State Owned Daqingshan Forest Farm of Shandong Province, eastern China and selection of optimal forage varieties.
Method Diversity, subordinate function, correlation and cluster analysis were performed on 13 leaf phenotypic traits of 332 R. pseudoacacia clones, and on the basis of cluster analysis, the differences among groups were analyzed for different traits.
Result The total coefficient of variation of the 13 traits was 14.883%, of which the coefficients of variation of the 4 compound leaves and 9 leaflets were 16.062% and 14.360%, respectively. The subordinate function value of this R. pseudoacacia was between 0.196 and 0.717, in which SD328 clone had the maximum value (0.717) and obvious advantages in the three characteristics of compound leaf width, leaflet area and petiole angle. The phenotype and genetic correlation showed that the leaflet pairs had the largest positive correlation coefficient with the leaflet numbers, and the leaflet length/width had the largest negative correlation coefficient with the leaflet circularity. Principal component analysis showed that the four principal component factors could represent 86.447% of the original data information of R. pseudoacacia clones. When the squared euclidean distance was 8, cluster analysis was performed, and 332 clones of R. pseudoacacia were divided into 5 categories.
Conclusion The phenotypic diversity of the R. pseudoacacia germplasm resources was systematically analyzed, seventy-two accessions were selected based on the breeding of ornamental and forage tree species, in order to lay the foundation for the research of breeding and germplasm preservation of R. pseudoacacia.
- Robinia pseudoacacia,
- clone population,
- leaf trait,
- phenotypic variation,
- selection of optimal forage clone

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References (35)

References

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Phenotypic variation analysis on leaf traits and selection of optimal forage clones of Robinia pseudoacacia clones in Shandong Province of eastern China

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