DOAJ Open Access 2021

Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm

Peng Deng Xiangchen Xie Feiyu Long Liang Zhang Yonghang Li +5 lainnya

Abstrak

<i>Eucommia ulmoides</i> Oliver (EUO), an economic tree grown specifically in China, is widely used in various fields. To satisfy the requirements of industrial development, superior varieties need to be selected for different uses. However, there is no unified standard for breeders to reference. In this study, leaf-related traits were classified by a probability grading method. The results indicated there were significant differences between different planting models for the studied traits, and the traits in the Arbor forest model showed more abundant variation. Compared with genotype, the planting model accounted for relatively bigger variance, indicating that the standard should be divided according to planting models. Furthermore, the optimum planting model for different traits would be obtained by analyzing the variation range. Association analyses were conducted among traits to select the crucial evaluation indexes. The indexes were divided into three grades in different planting models. The evaluation system on leaf-related traits of EUO germplasm was established preliminarily, which considered planting models and stability across years for the first time. It can be treated as a reference to identify and evaluate EUO germplasm resources. Additionally, the study served as an example for the classification of quantitative traits in other economically important perennial plants.

Topik & Kata Kunci

Penulis (10)

P

Peng Deng

X

Xiangchen Xie

F

Feiyu Long

L

Liang Zhang

Y

Yonghang Li

Z

Zhangxu Zhao

S

Shiyao Yang

Y

Yiran Wang

R

Ruishen Fan

Z

Zhouqi Li

Format Sitasi

Deng, P., Xie, X., Long, F., Zhang, L., Li, Y., Zhao, Z. et al. (2021). Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm. https://doi.org/10.3390/plants10112280

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Informasi Jurnal
Tahun Terbit
2021
Sumber Database
DOAJ
DOI
10.3390/plants10112280
Akses
Open Access ✓