Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China

As a highly resistant urban ornamental plant, <i>Elaeagnus angustifolia</i> L. is often used in dry land, saline-alkali land shelter forest, and landscape horticulture. It is the main windbreak and sand-fixing tree species in Gansu Province, China. The special geographical and climatic e...

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Main Authors: Rongrong Shi, Zhu Zhu, Ningrui Shi, Yongmei Li, Jun Dang, Yanli Wang, Yonglong Ma, Xiangyun Xu, Ting Liu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/14/6/1143
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author Rongrong Shi
Zhu Zhu
Ningrui Shi
Yongmei Li
Jun Dang
Yanli Wang
Yonglong Ma
Xiangyun Xu
Ting Liu
author_facet Rongrong Shi
Zhu Zhu
Ningrui Shi
Yongmei Li
Jun Dang
Yanli Wang
Yonglong Ma
Xiangyun Xu
Ting Liu
author_sort Rongrong Shi
collection DOAJ
description As a highly resistant urban ornamental plant, <i>Elaeagnus angustifolia</i> L. is often used in dry land, saline-alkali land shelter forest, and landscape horticulture. It is the main windbreak and sand-fixing tree species in Gansu Province, China. The special geographical and climatic environment makes the distribution and growth of <i>E. angustifolia</i> in Gansu Province show different degrees of difference. In order to evaluate the phenotypic diversity of <i>E. angustifolia</i> in different populations and its variation patterns under different geographical and climatic conditions, 35 phenotypic traits (trunk, branch, leaf, and flower related traits) of 90 plants from 10 populations in Gansu Province were measured and analyzed. The results showed the following: (1) <i>E. angustifolia</i> has rich phenotypic variation. The variation is greater among populations. The traits with the largest and smallest coefficients of variation were “under-branch height” and “flower diameter”, respectively. The variation in the Qilihe population was the largest, and the variation in the Ganzhou population was the smallest. The diversity of flowers and leaves is relatively higher. (2) Correlation analysis showed that most of traits were closely related. Leaf traits showed a gradient variation law dominated by altitude and precipitation. Flower traits were affected by the synergistic effects of various geographical and climatic factors. (3) The results of the principal component analysis (PCA) showed that the primary traits affecting the phenotypic diversity of <i>E. angustifolia</i> were leaf size and branch length among the related traits of trunk, branch, leaf, and flower. (4) Cluster analysis showed that 90 <i>E. angustifolia</i> plants were clustered into four clusters that were not completely clustered according to geographical distance and may be randomly affected by genotypic or environmental factors. These results will lay a foundation for further analysis of the genetic mechanism of phenotypic traits of <i>E. angustifolia</i> and also provide a reference for the collection, preservation, and variety improvement of <i>E. angustifolia</i> germplasm resources.
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spelling doaj.art-e6779d3f6fa94ae3a8515b3e2f1baddd2023-11-18T10:26:57ZengMDPI AGForests1999-49072023-05-01146114310.3390/f14061143Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, ChinaRongrong Shi0Zhu Zhu1Ningrui Shi2Yongmei Li3Jun Dang4Yanli Wang5Yonglong Ma6Xiangyun Xu7Ting Liu8College of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaCollege of Forestry, Gansu Agricultural University, Lanzhou 730070, ChinaAs a highly resistant urban ornamental plant, <i>Elaeagnus angustifolia</i> L. is often used in dry land, saline-alkali land shelter forest, and landscape horticulture. It is the main windbreak and sand-fixing tree species in Gansu Province, China. The special geographical and climatic environment makes the distribution and growth of <i>E. angustifolia</i> in Gansu Province show different degrees of difference. In order to evaluate the phenotypic diversity of <i>E. angustifolia</i> in different populations and its variation patterns under different geographical and climatic conditions, 35 phenotypic traits (trunk, branch, leaf, and flower related traits) of 90 plants from 10 populations in Gansu Province were measured and analyzed. The results showed the following: (1) <i>E. angustifolia</i> has rich phenotypic variation. The variation is greater among populations. The traits with the largest and smallest coefficients of variation were “under-branch height” and “flower diameter”, respectively. The variation in the Qilihe population was the largest, and the variation in the Ganzhou population was the smallest. The diversity of flowers and leaves is relatively higher. (2) Correlation analysis showed that most of traits were closely related. Leaf traits showed a gradient variation law dominated by altitude and precipitation. Flower traits were affected by the synergistic effects of various geographical and climatic factors. (3) The results of the principal component analysis (PCA) showed that the primary traits affecting the phenotypic diversity of <i>E. angustifolia</i> were leaf size and branch length among the related traits of trunk, branch, leaf, and flower. (4) Cluster analysis showed that 90 <i>E. angustifolia</i> plants were clustered into four clusters that were not completely clustered according to geographical distance and may be randomly affected by genotypic or environmental factors. These results will lay a foundation for further analysis of the genetic mechanism of phenotypic traits of <i>E. angustifolia</i> and also provide a reference for the collection, preservation, and variety improvement of <i>E. angustifolia</i> germplasm resources.https://www.mdpi.com/1999-4907/14/6/1143<i>Elaeagnus angustifolia</i>phenotypic diversitygeographical climate variationmultivariate analysis
spellingShingle Rongrong Shi
Zhu Zhu
Ningrui Shi
Yongmei Li
Jun Dang
Yanli Wang
Yonglong Ma
Xiangyun Xu
Ting Liu
Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
Forests
<i>Elaeagnus angustifolia</i>
phenotypic diversity
geographical climate variation
multivariate analysis
title Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
title_full Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
title_fullStr Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
title_full_unstemmed Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
title_short Phenotypic Diversity Analysis in <i>Elaeagnus angustifolia</i> Populations in Gansu Province, China
title_sort phenotypic diversity analysis in i elaeagnus angustifolia i populations in gansu province china
topic <i>Elaeagnus angustifolia</i>
phenotypic diversity
geographical climate variation
multivariate analysis
url https://www.mdpi.com/1999-4907/14/6/1143
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