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Estimation of genetic parameters on growth characteristics of a 35-year-old Pinus koraiensis progeny trial in South Korea

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Abstract

The effects of genetic and environmental factors on Pinus koraiensis growth were studied based on a 35 year-old progeny trial composed of open-pollinated offspring of twenty-one plus trees. Height, DBH and volume of the offspring was analyzed using restricted maximum likelihood/best linear unbiased prediction in mixed model analysis. Significant site and family effects on the three traits were observed. The distinct growth of offspring by site with disparate climates corroborated the importance of planting species in suitable conditions. Growth differences by family was significant, emphasizing the importance of identifying families with either superior or inferior performance. The parental ranking was assigned in the sites, inferring the breeding value of each plus tree. The estimates of individual heritability (\(\widehat{{h}_{i}^{2}}\)) of height, DBH and volume growth were 0.169–0.645, 0.108–0.331 and 0.129–0.343 respectively, with higher \(\widehat{{h}_{i}^{2}}\) of the height than DBH on each site. Coefficient of variance of genetic effect was higher with DBH in some cases, indicating the scope for selection is larger for this trait despite the lower heritability compared to height. For the variation between families in terms of the performance stability across sites, consideration of the genotype by environment interaction is required in selecting materials to be used in reforestation with Korean pine. A few families with either superior or inferior performance retained their parental ranking for at least a decade. Other families with increased growth on a particular site were identified, indicating their high breeding value and low stability. Differences in the genetic performance of the families by site requires delineation of the breeding region of the species.

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References

  • Ahn YJ, Lee DK, Kim HG, Park C, Kim JY, Kim JU (2015) Estimating Korean pine (Pinus koraiensis) habitat distribution considering climate change uncertainty. J Korea Soc Environ Restor Technol 18:51–64

    Article  Google Scholar 

  • Bates D, Mächler M, Bolker B, Walker S (2014) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1–48

    Google Scholar 

  • Belyanin PS, Belyanina NI (2019) Changes of the Pinus koraiensis distribution in the south of the Russian Far East in the postglacial time. Botanica Pacifica 8:1

    Google Scholar 

  • Bocianowki J, Warzecha T, Nowosad K, Bathelt R (2019) Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Ordeum vulgare L.). J Appl Genet 60:127–135

    Article  CAS  Google Scholar 

  • Bose LK, Jambhulkar NN, Pande K, Singh ON (2014) Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions. Chil J Agric Res 74(1):1–7

    Google Scholar 

  • Chun JH, Lee CB, Yoo SM (2015) Shifts of geographic distribution of Pinus koraiensis based on climate change scenarios and GARP model. Korean J Agric For Meteorol 17:348–357

    Article  Google Scholar 

  • Conner JK, Franks R, Stewart C (2003) Expression of additive genetic variances and covariances for wild radish floral traits: Comparison between field and greenhouse environments. Evol 57:487–495

    Article  Google Scholar 

  • De Lima BM, Cappa EP, Silva-Junior OB, Garcia C, Masnfield SD, Grattapaglia D (2019) Quantitative genetic parameters for growth and wood properties in Eucalyptus “urograndis” hybrid using near-infrared phenotyping and genome-wide SNP-based relationships. PLoS ONE 14:e0218747

    Article  CAS  Google Scholar 

  • De Mendiburu F (2009) Una herramienta de analisis estadistico para la investigacion agricola. Universidad Nacional de Ingenieria (UNI-PERU), Tesis

    Google Scholar 

  • Gray LK, Rweyongeza D, Hamann A, John S, Thomas BR (2016) Developing management strategies for tree improvement programs under climate change: Insights gained from long-term field trials with lodgepole pine. For Ecol Manage 377:128–138

    Article  Google Scholar 

  • Han H, Seol A, Jung Y, Chung J (2018) Maintaining long-rotation forestry: a new challenge for sustained yield of timber resources in South Korea. Int Forest Rev 20:199–205

    Article  Google Scholar 

  • Han SS, Park WG (1988) Diameter growth and key-year in Pinus koraiensis and Pinus densiflora trees. J Korean For Soc 77:216–222

    Google Scholar 

  • Han SU, Oh CY, Kim JS, Jeon DS, Kim KH, Lee KY (2007) Estimation of genetic gain by progeny test of plus tree of Pinus koraiensis. In: Proceedings of conference of Korean Society of Forest Science.

  • Hébert F, Krause C, Plourde P-Y, Achime A, Prégent G, Ménétrier J (2016) Effect of tree spacing on tree level volume growth, morphology and wood properties in a 25-year-old Pinus banksiana plantation in the boreal forest of Quebec. Forests 7:276

    Article  Google Scholar 

  • Houle D (1992) Comparing evolvability and variability of quantitative traits. Genetics 130:195–204

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hu X (2015) A comprehensive comparison between ANOVA and BLUP to valuate location-specific genotype effects for rape cultivar trials with random locations. Field Crops Res 179:144–149

    Article  Google Scholar 

  • Kang KS, Lindgren D (1998) Fertility variation and its effect on the relatedness of seeds in Pinus densiflora, Pinus thunbergii and Pinus koraiensis clonal seed orchards. Silvae Genet 47:196–201

    Google Scholar 

  • Kaviriri DK, Liu X, Fan Z, Wang J, Wang Q, Wang L, Wang L, Khasa D, Zhao X (2020) Genetic variation in growth and cone traits of Pinus koraiensis half-sib families in Northeast China. Phyton-Int J of Exp Bot 89:57–69

    Google Scholar 

  • Kim IS, Lee KM, Shim DH, Lee IH, Kim JJ, Kang HI (2019) Study of genetic test and increasing genetic gain of timber species. Seoul, Republic of Korea, National Institute of Forest Science

    Google Scholar 

  • Kim KH, Zsuffa L (1994) Reforestation of South Korea: The history and analysis of a unique case in forest tree improvement and forest. Forest Chron 70:58–64

    Article  Google Scholar 

  • Kong WS, Koo KA, Choi K, Yang JC, Shin CH, Lee SG (2016) Historic vegetation and environmental changes since the 15th century in the Korean peninsula. Quatern Int 392:25–36

    Article  Google Scholar 

  • Korea Forest Service (2019a) Timber utilization survey. Daejeon, Republic of Korea, Korea Forest Service

    Google Scholar 

  • Korea Forest Service (2019b) 2018 Statistical yearbook of forestry. Daejeon, Republic of Korea, Korea Forest Service

    Google Scholar 

  • Korea Forest Service (2019c) 2018 Production of Forest Products. Daejeon, Republic of Korea, Korea Forest Service

    Google Scholar 

  • Korea Meteorological Administration (2020): http://www.kma.go.kr/ (accessed on 30.06.2020).

  • Lai M, Dong L, Yi M, Sun S, Zhang Y, Fu L, Xu Z, Lei L, Leng C, Zhang L (2017) Genetic variation, heritability and genotype × environment interactions of resin yield, growth traits and morphologic traits for Pinus elliottii at three progeny trials. Forests 8:409

    Article  Google Scholar 

  • Lee D, Seo Y, Choi J (2017) Estimation and validation of stem volume equations for Pinus densiflora, Pinus koraiensis and Larix kaempferi in South Korea. Forest Sci Technol 13(2):77–82

    Article  Google Scholar 

  • Li CZ, Löfgen KG (2000) A theory of Red Pine (Pinus koraiensis) management for both timber and commercial seeds. For Sci 46:284–290

    Google Scholar 

  • Li X, Liu XT, Wei JT, Li Y, Tigabu M, Zhao XY (2020) Genetic improvement of Pinus koraiensis in China: Current situation and future prospects. Forests 11:148

    Article  CAS  Google Scholar 

  • Li Y, Suontama M, Burdon RD, Dungey HS (2017) Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application. Tree Genet Genomes 13:60

    Article  Google Scholar 

  • Liang D, Ding C, Zhao G, Leng W, Zhang M, Zhao X, Qu G (2018) Variation and selection analysis of Pinus koraiensis clones in northeast China. J For Res 29:611–622

    Article  CAS  Google Scholar 

  • Liang D, Wang B, Song S, Wang J, Wang L, Wnag Q, Ren X, Zhao X (2019) Analysis of genetic effects on a complete diallel cross test of Pinus koraiensis. Euphytica 215:92

    Article  Google Scholar 

  • R Development Core Team (2019) R: A language and environment for statistical computing; R Foundation for statistical computing, Vienna, Austria. URL: http://www.R-project.org/.

  • Ritchie M, Zhang J (2012) Effects of stand density of top height estimation for ponderosa pine. West J Appl For 27(1):18–24

    Article  Google Scholar 

  • Rweyongeza DM (2016) A new approach to prediction of the age-age correlation for use in tree breeding. Ann For Sci 73:1099–1111

    Article  Google Scholar 

  • Vidal M, Plomion C, Raffin A, Harvengt L, Bouffier L (2017) Forward selection in a maritime pine polycross progeny trial using pedigree reconstruction. Ann Forest Sci 74:21

    Article  Google Scholar 

  • Wang F, Liang D, Pei X, Zhang Q, Zhang P, Zhang J, Lu Z, Yang Y, Liu G, Zhao X (2019) Study on the physiological indices of Pinus sibirica and Pinus koraiensis seedlings under cold stress. J For Res 30:1255–1265

    Article  CAS  Google Scholar 

  • Wang F, Zhang Q, Tian Y, Yang S, Wang H, Wang L, Li Y, Zhang P, Zhao X (2018) Comprehensive assessment of growth traits and wood properties in half-sib Pinus koraiensis families. Euphytica 214:202

    Article  CAS  Google Scholar 

  • Wang H, Shao XM, Jiang Y, Fang XQ, Wu SH (2013) The impacts of climate change on the radial growth of Pinus koraiensis along elevations of Changbai Mountain in northeastern China. For Ecol Manage 289:333–340

    Article  Google Scholar 

  • Way DA, Oren R (2010) Differential responses to changes in growth temperature between trees from different functional groups and biomes: a review and synthesis of data. Tree Physiol 30:669–688

    Article  PubMed  Google Scholar 

  • White TL (1987) A conceptual framework for tree improvement programs. New For 4:325–342

    Article  Google Scholar 

  • White TL, Hodge GR (1988) Best linear prediction of breeding values in a forest tree improvement program. Theor Appl Genet 76:719–727

    Article  CAS  PubMed  Google Scholar 

  • Williams ER, Matheson A, Harwood CE (2002) Experimental design and analysis for tree improvement, 2nd ed.; CSIRO.

  • Xu D, Yan HA (2001) Study of the impacts of climate change on the geographic distribution of Pinus koraiensis in China. Environ Int 27:201–205

    Article  CAS  PubMed  Google Scholar 

  • Yan W, Kang MS, Ma B, Wood S, Cornelius P (2007) GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Sci 47:641–653

    Google Scholar 

Download references

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Correspondence to Kyungmi Lee.

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Corresponding editor: Yanbo Hu.

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Lee, K., Kim, I.S. & Lee, S.W. Estimation of genetic parameters on growth characteristics of a 35-year-old Pinus koraiensis progeny trial in South Korea. J. For. Res. 32, 2227–2236 (2021). https://doi.org/10.1007/s11676-020-01257-w

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