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Zheng Y, Feng M, Li X, Huang X, Chen G, Bai W, Xu X, Li J, Li X, Leng B, Sun H, He C, Chen Y. Phenotypic Variation Analysis and Excellent Clone Selection of Alnus cremastogyne from Different Provenances. PLANTS (BASEL, SWITZERLAND) 2023; 12:3259. [PMID: 37765423 PMCID: PMC10535346 DOI: 10.3390/plants12183259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/30/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023]
Abstract
Alnus cremastogyne is a rapidly growing broad-leaved tree species that is widely distributed in southwest China. It has a significant economic and ecological value. However, with the expansion of the planting area, the influence of phenotypic variation and differentiation on Alnus cremastogyne has increased, resulting in a continuous decline in its genetic quality. Therefore, it is crucial to investigate the phenotypic variation of Alnus cremastogyne and select excellent breeding materials for genetic improvement. Herein, four growth-related phenotypic traits (diameter at breast height, the height of trees, volume, height under the branches) and twelve reproductive-related phenotypic traits (fresh weight of single cone, dry weight of single cone, seed weight per plant, thousand kernel weight, cone length, cone width, cone length × cone width, fruit shape index, seed rate, germination rate, germination potential, germination index) of 40 clones from four provenances were measured and analyzed. The phenotypic variation was comprehensively evaluated by correlation analysis, principal component analysis and cluster analysis, and excellent clones were selected as breeding materials. The results revealed that there were abundant phenotypic traits variations among and within provenances. Most of the phenotypic traits were highly significant differences (p < 0.01) among provenances. The phenotypic variation among provenances (26.36%) was greater than that of within provenances clones (24.80%). The average phenotypic differentiation coefficient was accounted for 52.61% among provenances, indicating that the phenotypic variation mainly came from among provenances. The coefficient of variation ranged from 9.41% (fruit shape index) to 97.19% (seed weight per plant), and the repeatability ranged from 0.36 (volume) to 0.77 (cone width). Correlation analysis revealed a significantly positive correlation among most phenotypic traits. In principal component analysis, the cumulative contribution rate of the first three principal components was 79.18%, representing the main information on the measured phenotypic traits. The cluster analysis revealed four groups for the 40 clones. Group I and group II exhibited better performance phenotypic traits as compared with group III and group IV. In addition, the four groups are not clearly clustered following the distance from the provenance. Employing the multi-trait comprehensive evaluation method, 12 excellent clones were selected, and the average genetic gain for each phenotypic trait ranged from 4.78% (diameter at breast height) to 32.05% (dry weight of single cone). These selected excellent clones can serve as candidate materials for the improvement and transformation of Alnus cremastogyne seed orchards. In addition, this study can also provide a theoretical foundation for the genetic improvement, breeding, and clone selection of Alnus cremastogyne.
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Affiliation(s)
- Yue Zheng
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Maosong Feng
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
- National Forestry and Grassland Administration Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River and Forestry Ecological Engineering in the Upper Reaches of the Yangtze River Key Laboratory of Sichuan Province, Chengdu 611130, China
| | - Xue Li
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Xingyan Huang
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Gang Chen
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
- National Forestry and Grassland Administration Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River and Forestry Ecological Engineering in the Upper Reaches of the Yangtze River Key Laboratory of Sichuan Province, Chengdu 611130, China
| | - Wenyu Bai
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
- National Forestry and Grassland Administration Key Laboratory of Forest Resources Conservation and Ecological Safety on the Upper Reaches of the Yangtze River and Forestry Ecological Engineering in the Upper Reaches of the Yangtze River Key Laboratory of Sichuan Province, Chengdu 611130, China
| | - Xueju Xu
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Jiayi Li
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Xiaohong Li
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Bin Leng
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Hao Sun
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Chunyan He
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
| | - Yunjie Chen
- College of Forest, Sichuan Agricultural University, Chengdu 611130, China; (Y.Z.); (X.L.); (X.H.); (G.C.); (W.B.); (X.X.); (J.L.); (X.L.); (B.L.); (H.S.); (C.H.); (Y.C.)
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Further Mining and Characterization of miRNA Resource in Chinese Fir (Cunninghamia lanceolata). Genes (Basel) 2022; 13:genes13112137. [DOI: 10.3390/genes13112137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/12/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022] Open
Abstract
In this study, we aimed to expand the current miRNA data bank of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) regarding its potential value for further genetic and genomic use in this species. High-throughput small RNA sequencing successfully captured 140 miRNAs from a Chinese fir selfing family harboring vigor and depressed progeny. Strikingly, 75.7% (n = 106) of these miRNAs have not been documented previously, and most (n = 105) of them belong to the novel set with 6858 putative target genes. The new datasets were then integrated with the previous information to gain insight into miRNA genetic architecture in Chinese fir. Collectively, a relatively high proportion (62%, n = 110) of novel miRNAs were found. Furthermore, we identified one MIR536 family that has not been previously documented in this species and four overlapped miRNA families (MIR159, MIR164, MIR171_1, and MIR396) from new datasets. Regarding the stability, we calculated the secondary structure free energy and found a relatively low R2 value (R2 < 0.22) between low minimal folding free energy (MFE) of pre-miRNAs and MFE of its corresponding mature miRNAs in most datasets. When in view of the conservation aspect, the phylogenetic trees showed that MIR536 and MIR159 sequences were highly conserved in gymnosperms.
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Estimation of Genetic Parameters and Wood Yield Selection Index in a Clonal Trial of Korean Pine (Pinus koraiensis) in Northeastern China. SUSTAINABILITY 2021. [DOI: 10.3390/su13084167] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In order to determine suitable traits for selecting high-wood-yield Korean pine materials, eleven morphological characteristics (tree height, basal diameter, diameter at breast height, diameter at 3 meter height, stem straightness degree, crown breadth, crown height, branch angle, branch number per node, bark thickness, and stem volume) were investigated in a 38-year-old Korean pine clonal trial at Naozhi orchard. A statistical approach combining variance and regression analysis was used to extract appropriate traits for selecting elite clones. Results of variance analysis showed significant difference in variance sources in most of the traits, except for the stem straightness degree, which had a p-value of 0.94. Moderate to high coefficients of variation and clonal repeatability ranged from 10.73% to 35.45% and from 0.06% to 0.78%, respectively. Strong significant correlations on the phenotypic and genotypic levels were observed between the straightness traits and tree volume, but crown breadth was weakly correlated to the volume. Four principal components retaining up to 80% of the total variation were extracted, and stem volume, basal diameter, diameter at breast height, diameter at 3 meter height, tree height, and crown height displayed high correlation to these components (r ranged from 0.76 to 0.98). Based on the Type III sum of squares, tree height, diameter at breast height, and branch number showed significant information to explain the clonal variability based on stem volume. Using the extracted characteristics as the selection index, six clones (PK105, PK59, PK104, PK36, PK28, and K101) displayed the highest Qi values, with a selection rate of 5% corresponding to the genetic gain of 42.96% in stem volume. This study provides beneficial information for the selection of multiple traits for genetically improved genotypes of Korean pine.
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Chinese Fir Breeding in the High-Throughput Sequencing Era: Insights from SNPs. FORESTS 2019. [DOI: 10.3390/f10080681] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Knowledge on population diversity and structure is of fundamental importance for conifer breeding programs. In this study, we concentrated on the development and application of high-density single nucleotide polymorphism (SNP) markers through a high-throughput sequencing technique termed as specific-locus amplified fragment sequencing (SLAF-seq) for the economically important conifer tree species, Chinese fir (Cunninghamia lanceolata). Based on the SLAF-seq, we successfully established a high-density SNP panel consisting of 108,753 genomic SNPs from Chinese fir. This SNP panel facilitated us in gaining insight into the genetic base of the Chinese fir advance breeding population with 221 genotypes for its genetic variation, relationship and diversity, and population structure status. Overall, the present population appears to have considerable genetic variability. Most (94.15%) of the variability was attributed to the genetic differentiation of genotypes, very limited (5.85%) variation occurred on the population (sub-origin set) level. Correspondingly, low FST (0.0285–0.0990) values were seen for the sub-origin sets. When viewing the genetic structure of the population regardless of its sub-origin set feature, the present SNP data opened a new population picture where the advanced Chinese fir breeding population could be divided into four genetic sets, as evidenced by phylogenetic tree and population structure analysis results, albeit some difference in membership of the corresponding set (cluster vs. group). It also suggested that all the genetic sets were admixed clades revealing a complex relationship of the genotypes of this population. With a step wise pruning procedure, we captured a core collection (core 0.650) harboring 143 genotypes that maintains all the allele, diversity, and specific genetic structure of the whole population. This generalist core is valuable for the Chinese fir advanced breeding program and further genetic/genomic studies.
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Effects of Sucrose, Boric Acid, pH, and Incubation Time on in Vitro Germination of Pollen and Tube Growth of Chinese fir (Cunnighamial lanceolata L.). FORESTS 2019. [DOI: 10.3390/f10020102] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
In vitro pollen germination provides a novel approach and strategy to accelerate genetic improvement of tree breeding. Studies about pollen germination and tube growth of Chinese fir are limited. Therefore, this study aimed to investigate the effects of sucrose, boric acid, pH, and time of incubation on pollen germination and tube growth. Pollen from 9 clones were selected. In vitro germination was performed in basic media as control, and in different concentrations of sucrose (0, 10 and 15%), boric acid (0.01, 0.1 and 0.2%), and pH levels (4.5, 5 and 7). Pollen germination rates and tube growth were recorded periodically at 1, 12, 24, and 48 h. The results showed that sucrose imposes significant effects on pollen germination and tube growth. The effects are most obvious at concentration of 15%. Boric acid significantly promoted germination and tube growth. The promotion was most notable in lower concentration of 0.01%. The media adjusted to pH 7.0 boosted the germination and pollen tube growth. The optimum time of incubation was 24 and 48 h for pollen germination and tube growth, respectively. Sucrose, pH, and time of incubation were positively correlated, whereas boric acid negatively correlated with pollen germination and tube growth. This study provided experimental evidences for selecting viable pollens for Chinese fir breeding.
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Lu N, Mei F, Wang Z, Wang N, Xiao Y, Kong L, Qu G, Ma W, Wang J. Single-nucleotide polymorphisms(SNPs) in a sucrose synthase gene are associated with wood properties in Catalpa fargesii bur. BMC Genet 2018; 19:99. [PMID: 30384853 PMCID: PMC6211571 DOI: 10.1186/s12863-018-0686-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 10/19/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Association study is a powerful means for identifying molecular markers, such as single-nucleotide polymorphisms (SNPs) associated with important traits in forest trees. Catalpa fargesii Bur is a valuable commercial tree in China and identifying SNPs that associate with wood property would make a foundation of the marker-assisted breeding in the future. However, related work has not been reported yet. RESULTS We cloned a 2887 bp long sucrose synthase (SUS) gene from the genome of C. fargesii, which is a key enzyme in sucrose metabolism and also associated to wood formation in trees, coding 806 amino acids that expressed mainly in young branches, xylem, and leaves according to real-time quantitative PCR. Then we identified allelic variations of CfSUS associated with nine wood quality associated traits in Catalpa fargesii Bur. Totally, 135 SNPs were identified through cloning and sequencing the CfSUS locus from a mapping population (including 93 unrelated individuals) and 47 of which were genotyped as common SNPs (minor allele frequency > 5%) in the association population that comprised of 125 unrelated individuals collected from main distribution area. Nucleotide diversity and linkage disequilibrium (LD) analysis showed CfSUS has a relative low SNP diversity (πT = 0.0034) and low LD (r2 dropped below 0.1 within 1600 bp). Using the association analysis, we found 11 common SNPs and 14 haplotypes were significantly associated with the traits (false discovery rate, Q<0.1), explaining 3.21-12.41% of the phenotypic variance. These results provide molecular markers above associated with wood basic density, pore rate, and six other traits of wood, which have potential applications in breeding of Catalpa fargesii Bur. CONCLUSION We first cloned a SUS gene in C. fargesii, then identified several SNPs and haplotypes that associated with wood properties within this gene, suggesting CfSUS participates in the wood formation of C. fargesii. Moreover, molecular markers we identified in this study may be applied into marker-assisted breeding of C. fargesii in the future.
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Affiliation(s)
- Nan Lu
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Fang Mei
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Zhi Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Nan Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Yao Xiao
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Lisheng Kong
- Department of Biology, Centre for Forest Biology, University of Victoria, 3800 Finnerty Road, Victoria, BC Canada
| | - Guanzheng Qu
- State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, 26 Hexing Road, Harbin, 150040 People’s Republic of China
| | - Wenjun Ma
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
| | - Junhui Wang
- State Key Laboratory of Forest Genetics and Tree Breeding, Key Laboratory of Tree Breeding and Cultivation of State Forestry Administration, Research Institute of Forestry, Chinese Academy of Forestry, Beijing, 100091 People’s Republic of China
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Duan H, Cao S, Zheng H, Hu D, Lin J, Cui B, Lin H, Hu R, Wu B, Sun Y, Li Y. Genetic Characterization of Chinese fir from Six Provinces in Southern China and Construction of a Core Collection. Sci Rep 2017; 7:13814. [PMID: 29062029 PMCID: PMC5653812 DOI: 10.1038/s41598-017-13219-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Accepted: 09/20/2017] [Indexed: 12/03/2022] Open
Abstract
Large ex situ germplasm collections of plants generally contain significant diversity. A set of 700 well-conserved Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) clones from six provinces in southern China in the ex situ gene bank of Longshan State Forest, was analyzed using 21 simple sequence repeat markers, with the aim of assessing the genetic diversity of these germplasm resources. Genetic analysis revealed extensive genetic variation among the accessions, with an average of 8.31 alleles per locus and a mean Shannon index of 1.331. Excluding loci with null alleles, we obtained a low level of genetic differentiation among provinces, consistent with the interpopulation genetic variation (1%). Three clusters were identified by STRUCTURE, which did not match the individuals’ geographical provenances. Ten traits related to growth and wood properties were quantified in these individuals, and there was substantial variation in all traits across individuals, these provide a potential source of variation for genetic improvement of the Chinese fir. Screening large collections for multiple-trait selective breeding programs is laborious and expensive; a core collection of 300 accessions, representative of the germplasm, was established, based on genotypic and phenotypic data. The identified small, but diverse, collections will be useful for further genome-wide association studies.
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Affiliation(s)
- Hongjing Duan
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China
| | - Sen Cao
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China
| | - Huiquan Zheng
- Guangdong Provincial Key Laboratory of Bio-control for the Forest Disease and Pest, Guangdong Academy of Forestry, 510520, Guangzhou, People's Republic of China
| | - Dehuo Hu
- Guangdong Provincial Key Laboratory of Bio-control for the Forest Disease and Pest, Guangdong Academy of Forestry, 510520, Guangzhou, People's Republic of China
| | - Jun Lin
- The ex situ gene bank of Longshan State Forest Farm, 512221, Guangzhou, Guangdong Province, People's Republic of China
| | - Binbin Cui
- Department of Biochemistry, Baoding University, 071000, Baoding, Hebei Province, People's Republic of China
| | - Huazhong Lin
- Fujian Jiangle State-owned Forestry Farm, Fujian, 353300, China
| | - Ruiyang Hu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China
| | - Bo Wu
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China
| | - Yuhan Sun
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China
| | - Yun Li
- Beijing Advanced Innovation Center for Tree Breeding by Molecular Design. National Engineering Laboratory for Tree Breeding, Key Laboratory of Genetics and Breeding in Forest Trees and Ornamental Plants, Ministry of Education, College of Biological Sciences and Technology, Beijing Forestry University, 100083, Beijing, People's Republic of China.
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Variation in the Concentrations of Major Secondary Metabolites in Ginkgo Leaves from Different Geographical Populations. FORESTS 2017. [DOI: 10.3390/f8080266] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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Variation in the Growth Traits and Wood Properties of Chinese Fir from Six Provinces of Southern China. FORESTS 2016. [DOI: 10.3390/f7090192] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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