Comprehensive assessment of growth traits and wood properties in half-sib Pinus koraiensis families

Wang, Fang; Zhang, Qinhui; Tian, Yuan; Wang, Hongwu; Liankui, Wang; Li, Yanlong; Zhang, Peng; Zhao, Xiyang

doi:10.1007/s10681-018-2290-4

Cited by 26 publications

(21 citation statements)

References 31 publications

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“…Similar findings were reported on many tree species, indicating that selection based on phenotypic variation results is feasible [60][61][62][63]. Considering the extent of phenotypic variation, the clone variability in PCV values (%) seems to be slightly lower compared to prior P. koraiensis variation studies [9,10]; this is likely due to the age difference in Korean pine materials used in each study [61], the genetic properties (clone against families), planting design and different environmental conditions. The material age is an important factor in growth variation of planted trees that share similar environmental conditions, and growth sizes seem to be uniform among mature trees [64].…”

Section: Clone Variability Based On Phenotypic Characteristicssupporting

confidence: 70%

“…Phenotypically superior Korean pine trees have been selected from natural forestlands and have been established in seed orchards since the early 1960s [8]. Many studies have evaluated the outcome of the Korean pine breeding program, and numerous elite tree lines have been selected based on phenotypic and genetic variability in growth, wood, fruit, seed and nutrient content within clonal, half-sib and full-sib P. Koraiensis populations [9,10]. Improved clones of P. koraiensis spp.…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Kaviriri

Zhang

et al. 2020

Genes

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Combining phenotypic and genetic characteristics in a genetic variation study is of paramount importance to effectively orient the selection of producers’ elite trees in a seed orchard. In total, 28 phenotypic characteristics and 16 microsatellite loci were used to analyze the clonal genetic variation, to characterize the genetic diversity, and to refine the genetic classifications of 110 Pinus koraiensis clones grown in the Naozhi orchard in northeastern China. All clones were significantly different in most traits. Most of the phenotypic characteristics showed great genetic variation among clones, while the genotypic differentiation was weak between the selection sites of clones. The SSR markers showed a relatively high level of genetic diversity (Na = 4.67 ± 0.43, Ne = 2.916 ± 0.18, I = 1.15 ± 0.07, Ho = 0.69 ± 0.04, He = 0.62 ± 0.02, and mean polymorphic information content (PIC) of 0.574), with higher heterozygosity as an indication of a lower probability of inbreeding events in the orchard. Despite weak correlation coefficients between dissimilarity matrices (r(A/B), range equal to 0.022, p-value < 0.001), the genetic and phenotypic classifications congruently subdivided all the clones into three major groups. The patterns of phenotypic trait variations and genetic diversity are valuable to effectively select materials in breeding programs of P. koraiensis.

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Section: Clone Variability Based On Phenotypic Characteristicssupporting

confidence: 70%

Section: Introductionmentioning

confidence: 99%

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Kaviriri

Zhang

et al. 2020

Genes

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“…[55], the investigated traits here seem to be less varied. However, these results were close to those reported previously on Korean pine by Liang et al [11] and Wang et al [17].…”

Section: Discussionsupporting

confidence: 92%

“…Multiple traits selection has been applied to select superior Korean pine materials in different phases for its breeding, including clonal, provenance, and progeny tests [17,18]. The selection of multiple traits presents some advantages over tree selection for a single particular characteristic [19], especially when the characteristics are positively correlated and display high heritability [20].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Genetic Parameters and Wood Yield Selection Index in a Clonal Trial of Korean Pine (Pinus koraiensis) in Northeastern China

2021

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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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“…The transcriptome analysis of sunflower identified the candidate genes involved in response to chilling and salt stresses [20]. P. koraiensis is a famous mixed fruit and wood forest with strong cold tolerance [21,22]. It is the main tree species in the cold temperate zone and contains abundant cold resistance genes.…”

Section: Introductionmentioning

confidence: 99%

Transcriptomic analyses of Pinus koraiensis under different cold stresses

et al. 2020

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Background: Pinus koraiensis is an evergreen tree species with strong cold resistance. However, the transcriptomic patterns in response to cold stress are poorly understood for P. koraiensis. In this study, global transcriptome profiles were generated for P. koraiensis under cold stress (− 20°C) over time by high-throughput sequencing.Results: More than 763 million clean reads were produced, which assembled into a nonredundant data set of 123, 445 unigenes. Among them, 38,905 unigenes had homology with known genes, 18,239 were assigned to 54 gene ontology (GO) categories and 18,909 were assigned to 25 clusters of orthologous groups (COG) categories. Comparison of transcriptomes of P. koraiensis seedlings grown at room temperature (20°C) and low temperature (− 20°C) revealed 9842 differential expressed genes (DEGs) in the 6 h sample, 9250 in the 24 h sample, and 9697 in the 48 h sample. The number of DEGs in the pairwise comparisons of 6 h, 24 h and 48 h was relatively small. The accuracy of the RNA-seq was validated by analyzing the expression patterns of 12 DEGs by quantitative real-time PCR (qRT-PCR). In this study, 34 DEGs (22 upregulated and 12 downregulated) were involved in the perception and transmission of cold signals, 96 DEGs (41 upregulated and 55 downregulated) encoding 8 transcription factors that regulated cold-related genes expression, and 27 DEGs (17 upregulated and 10 downregulated) were involved in antioxidant mechanisms in response to cold stress. Among them, the expression levels of c63631_g1 (annexin D1), c65620_g1 (alpha-amylase isozyme 3C), c61970_g1 (calcium-binding protein KIC), c51736_g1 (ABA), c58408_g1 (DREB3), c66599_g1 (DREB3), c67548_g2 (SOD), c55044_g1 (CAT), c71938_g2 (CAT) and c11358_g1 (GPX) first increased significantly and then decreased significantly with the extension of stress time.Conclusions: A large number of DEGs were identified in P. koraiensis under cold stress, especially the DEGs involved in the perception and transmission of cold signals, the DEGs encoding TFs related to cold regulation and the DEGs removing ROS in antioxidation mechanisms. The transcriptome and digital expression profiling of P. koraiensis could facilitate the understanding of the molecular control mechanism related to cold responses and provide the basis for the molecular breeding of conifers.

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Comprehensive assessment of growth traits and wood properties in half-sib Pinus koraiensis families

Cited by 26 publications

References 31 publications

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Phenotypic Variability and Genetic Diversity in a Pinus koraiensis Clonal Trial in Northeastern China

Estimation of Genetic Parameters and Wood Yield Selection Index in a Clonal Trial of Korean Pine (Pinus koraiensis) in Northeastern China

Transcriptomic analyses of Pinus koraiensis under different cold stresses

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