Phenotypic Diversity and Variation of &lt;i&gt;Lonicera
caerulea&lt;/i&gt; Populations in the Changbai Mountain
Alongside the Elevation Gradient

Li, Wei; Wang, Pan; Qi, Qige; Zhang, Qichang; Gao, Xin; Lin, Mingfeng; Cui, Yutao

doi:10.15244/pjoes/122805

Cited by 4 publications

(2 citation statements)

References 31 publications

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“…The average variance component among populations was greater than that within populations, which further indicated that the phenotypic traits of E. angustifolia in Gansu Province varied greatly, and the variation mainly came from populations. The phenotypic variation among populations was higher than that within populations, which was consistent with the results of analyses of Pinus sylvestris [36], Lonicera caerulea [37], and Haloxylon ammodendron [38]. This may be related to the geographical isolation of each population, which hinders the pollination of wind-pollinated plants and the gene exchange among populations and increases the differentiation among populations.…”

Section: Discussionsupporting

confidence: 86%

Phenotypic Diversity Analysis in Elaeagnus angustifolia Populations in Gansu Province, China

Shi

Zhu

Shi

et al. 2023

Forests

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As a highly resistant urban ornamental plant, Elaeagnus angustifolia 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 E. angustifolia in Gansu Province show different degrees of difference. In order to evaluate the phenotypic diversity of E. angustifolia 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) E. angustifolia 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 E. angustifolia were leaf size and branch length among the related traits of trunk, branch, leaf, and flower. (4) Cluster analysis showed that 90 E. angustifolia 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 E. angustifolia and also provide a reference for the collection, preservation, and variety improvement of E. angustifolia germplasm resources.

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Section: Discussionsupporting

confidence: 86%

Phenotypic Diversity Analysis in Elaeagnus angustifolia Populations in Gansu Province, China

Shi

Zhu

Shi

et al. 2023

Forests

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“…The average H of the 20 phenotypes was 1.82. It was lower than the H values reported for L. caerulea [40] (H > 2.00) and C. pinnatifida [41] (H > 4.49) and higher than that reported for E. japonica [42]. This indicates that L. cubeba still shows rich diversity, despite germplasm losses.…”

Section: Phenotypic Diversity Of L Cubeba Characteristicscontrasting

confidence: 66%

Main Habitat Factors Driving the Phenotypic Diversity of Litsea cubeba in China

Liao,

Ning,

Yang

et al. 2023

Plants

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Litsea cubeba (Lour.) Pers. is an important woody spice tree in southern China, and its fruit is a rich source of valuable essential oil. We surveyed and sampled L. cubeba germplasm resources from 36 provenances in nine Chinese provinces, and detected rich phenotypic diversity. The survey results showed that plants of SC-KJ, SC-HJ, and SC-LS provenance presented higher leaf area (LA); YN-SM and YN-XC plants had larger thousand-grain fresh weight (TFW); and HN-DX plants had the highest essential oil content (EOC). To explain the large differences in the phenotypes of L. cubeba among different habitats, we used Pearson’s correlation analysis, multiple stepwise regression path analysis, and redundancy analysis to evaluate the phenotypic diversity of L. cubeba. It was found that compared to other traits, leaf and fruit traits had more significant geographical distributions, and that leaf phenotypes were correlated to fruit phenotypes. The results showed that elevation, latitude, longitude, total soil porosity (SP), soil bulk density (SBD), and average annual rainfall (AAR, mm) contributed significantly to the phenotypic diversity of L. cubeba. Geographical factors explained a higher percentage of variation in phenotypic diversity than did soil factors and climate factors. Plants of SC-KJ and HN-DX provenances could be important resources for domestication and breeding to develop new high-yielding varieties of this woody aromatic plant. This study describes significant phenotypic differences in L. cubeba related to adaptation to different environments, and provides a theoretical basis for the development of a breeding strategy and for optimizing L. cubeba cultivation.

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The phenotypic diversity of Schisandra sphenanthera fruit and SVR model for phenotype forecasting

Wang

Yan²,

Wang³

et al. 2022

Industrial Crops and Products

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Phenotypic Diversity and Variation of <i>Lonicera caerulea</i> Populations in the Changbai Mountain Alongside the Elevation Gradient

Cited by 4 publications

References 31 publications

Phenotypic Diversity Analysis in Elaeagnus angustifolia Populations in Gansu Province, China

Phenotypic Diversity Analysis in Elaeagnus angustifolia Populations in Gansu Province, China

Main Habitat Factors Driving the Phenotypic Diversity of Litsea cubeba in China

The phenotypic diversity of Schisandra sphenanthera fruit and SVR model for phenotype forecasting

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