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驱动中国[物种名称缺失]表型多样性的主要栖息地因素。

Main Habitat Factors Driving the Phenotypic Diversity of in China.

作者信息

Liao Guoxiang, Ning Xiaodan, Yang Yuling, Wang Zongde, Fan Guorong, Wang Xuefang, Fu Dan, Liu Juan, Tang Ming, Chen Shangxing, Wang Jiawei

机构信息

Jiangxi Key Laboratory of Silviculture, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.

East China Woody Fragrance and Flavor Engineering Research Center of National Forestry and Grassland Administration, College of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.

出版信息

Plants (Basel). 2023 Nov 6;12(21):3781. doi: 10.3390/plants12213781.

DOI:10.3390/plants12213781
PMID:37960137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10648399/
Abstract

(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 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 among different habitats, we used Pearson's correlation analysis, multiple stepwise regression path analysis, and redundancy analysis to evaluate the phenotypic diversity of . 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 . 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 related to adaptation to different environments, and provides a theoretical basis for the development of a breeding strategy and for optimizing cultivation.

摘要

( Lour.)Pers.是中国南方一种重要的木本香料树,其果实富含珍贵的精油。我们对来自中国九个省份36个种源的种质资源进行了调查和采样,发现了丰富的表型多样性。调查结果显示,SC-KJ、SC-HJ和SC-LS种源的植株叶面积(LA)较大;YN-SM和YN-XC的植株千粒鲜重(TFW)较大;而HN-DX的植株精油含量(EOC)最高。为了解释不同生境下表型的巨大差异,我们使用皮尔逊相关分析、多元逐步回归路径分析和冗余分析来评估[植物名称]的表型多样性。结果发现,与其他性状相比,叶和果实性状具有更显著的地理分布,且叶表型与果实表型相关。结果表明,海拔、纬度、经度、土壤总孔隙度(SP)、土壤容重(SBD)和年平均降雨量(AAR,毫米)对[植物名称]的表型多样性有显著贡献。地理因素对表型多样性变异的解释比例高于土壤因素和气候因素。SC-KJ和HN-DX种源的植株可能是驯化和育种的重要资源,以培育这种木本芳香植物的高产新品种。本研究描述了[植物名称]与适应不同环境相关的显著表型差异,并为制定育种策略和优化[植物名称]栽培提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/73ab9bc79b0a/plants-12-03781-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/3e61d8e1712f/plants-12-03781-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/756939cbb189/plants-12-03781-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/f896ce21ef19/plants-12-03781-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/ba69d887f131/plants-12-03781-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/22f496bf3001/plants-12-03781-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/73ab9bc79b0a/plants-12-03781-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/3e61d8e1712f/plants-12-03781-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/756939cbb189/plants-12-03781-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/f896ce21ef19/plants-12-03781-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/ba69d887f131/plants-12-03781-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/22f496bf3001/plants-12-03781-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79d1/10648399/73ab9bc79b0a/plants-12-03781-g006.jpg

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本文引用的文献

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Int J Mol Sci. 2023 Apr 13;24(8):7210. doi: 10.3390/ijms24087210.
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