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

<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 r...

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Autores principales: Peng Deng, Xiangchen Xie, Feiyu Long, Liang Zhang, Yonghang Li, Zhangxu Zhao, Shiyao Yang, Yiran Wang, Ruishen Fan, Zhouqi Li
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Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/00c36ae8c6424cad9a64a9e55fa374f3
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spelling oai:doaj.org-article:00c36ae8c6424cad9a64a9e55fa374f32021-11-25T18:44:44ZTrait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm10.3390/plants101122802223-7747https://doaj.org/article/00c36ae8c6424cad9a64a9e55fa374f32021-10-01T00:00:00Zhttps://www.mdpi.com/2223-7747/10/11/2280https://doaj.org/toc/2223-7747<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.Peng DengXiangchen XieFeiyu LongLiang ZhangYonghang LiZhangxu ZhaoShiyao YangYiran WangRuishen FanZhouqi LiMDPI AGarticle<i>Eucommia ulmoides</i> Olivertrait variationsprobability gradingquantitative traitsplanting modelsleavesBotanyQK1-989ENPlants, Vol 10, Iss 2280, p 2280 (2021)
institution DOAJ
collection DOAJ
language EN
topic <i>Eucommia ulmoides</i> Oliver
trait variations
probability grading
quantitative traits
planting models
leaves
Botany
QK1-989
spellingShingle <i>Eucommia ulmoides</i> Oliver
trait variations
probability grading
quantitative traits
planting models
leaves
Botany
QK1-989
Peng Deng
Xiangchen Xie
Feiyu Long
Liang Zhang
Yonghang Li
Zhangxu Zhao
Shiyao Yang
Yiran Wang
Ruishen Fan
Zhouqi Li
Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
description <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.
format article
author Peng Deng
Xiangchen Xie
Feiyu Long
Liang Zhang
Yonghang Li
Zhangxu Zhao
Shiyao Yang
Yiran Wang
Ruishen Fan
Zhouqi Li
author_facet Peng Deng
Xiangchen Xie
Feiyu Long
Liang Zhang
Yonghang Li
Zhangxu Zhao
Shiyao Yang
Yiran Wang
Ruishen Fan
Zhouqi Li
author_sort Peng Deng
title Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
title_short Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
title_full Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
title_fullStr Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
title_full_unstemmed Trait Variations and Probability Grading Index System on Leaf-Related Traits of <i>Eucommia ulmoides</i> Oliver Germplasm
title_sort trait variations and probability grading index system on leaf-related traits of <i>eucommia ulmoides</i> oliver germplasm
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/00c36ae8c6424cad9a64a9e55fa374f3
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