Altitude shape genetic and phenotypic variations in growth curve parameters of Larix kaempferi

doi:10.1007/s11676-022-01483-4

Abstract

Abstract:

To study the effects of geoclimatic variables of provenances on growth phenotypes and selected plus provenances, over 3000 trees of 22-year-old Larix kaempferi were evaluated from trials established in two climate zones for provenance selection and to explore the influence of climate variables on provenance performance. The material was replicated plantings of 84 open pollinated families from six provenances distributed in the mountains of central Japan. Provenance variation was observed in most age groups and the heritability of growth traits showed large differences. The phenotypic maximum value of height and diameter were significantly positive with altitude, and mean annual precipitation being important factors. Diameter at breast height growth was significantly negative with altitude and spring rainfall. The Ina provenance of relatively high altitudes, was well adapted to a variety of climates. Altitude might be the driving force for phenotypic and genetic variations and local adaptation.

Key words: Larix kaempferi, Breeding, Altitude, Genetic parameters

Yalin Zhang, Leiming Dong, Yunhui Xie, Dongsheng Chen, Xiaomei Sun. Altitude shape genetic and phenotypic variations in growth curve parameters of Larix kaempferi[J]. JOURNAL OF FORESTRY RESEARCH, 2023, 34(2): 507-517.

Yalin Zhang, Leiming Dong, Yunhui Xie, Dongsheng Chen, Xiaomei Sun. [J]. 林业研究(英文版), 2023, 34(2): 507-517.

References 47

1	Alexander P, Paul FG, Matteo P, Victoria LS. Genome-wide signature of local adaptation linked to variable CpG methylation in oak populations. Mol Ecol, 2015, 24: 3823-3830, DOI
2	Arcade A, Faivre-Rampant P, Guerroué B, Paques LE, Prat D. Heterozygosity and hybrid performance in larch. Theor Appl Genet, 1996, 93(8): 1274-1281, DOI
3	Aschero V, Srur AM, Guerrido C, Villalba R. Contrasting climate influences on Nothofagus pumilio establishment along elevational gradients. Plant Ecol, 2022, 223(4): 369-380, DOI
4	Boris Z. Analysis of growth equations. For Sci, 1993, 3: 594-616
5	Burdon RD. Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genet, 1977, 26: 168-175
6	Butler D, Cullis B, Gilmour A, Gogel B (2009) ASReml-R reference manual (Version 3). Queensland Department of Primary Industries and Fisheries, Brisbane, Australia
7	Cai SG, Shen QF, Huang YQ, Han ZG, Wu DZ, Chen ZH, Nevo E, Zhang GP. Multi-omics analysis reveals the mechanism underlying the edaphic adaptation in wild barley at evolution slope (Tabigha). Adv Sci, 2021, 8: 3-13, DOI
8	Catherine C, Clement C. Using competition and light estimates to predict diameter and height growth of naturally regenerated beech seedlings growing under changing canopy conditions. Forestry, 2006, 5: 489-502
9	Ci D, Song YP, Du QZ, Tian M, Han S, Zhang DQ. Variation in genomic methylation in natural populations of Populus simonii is associated with leaf shape and photosynthetic traits. J Exp Bot, 2016, 67: 723-737, DOI
10	Diao S, Hou YM, Xie YH, Sun XM. Age trends of genetic parameters, early selection and family by site interactions for growth traits in Larix kaempferi open-pollinated families. BMC Genet, 2016, 17(1): 104, DOI
11	Duncan EJ, Gluckman PD, Dearden PK. Epigenetics, plasticity, and evolution: How do we link epigenetic change to phenotype?. J Exp Zool Part B, 2014, 322: 208-220, DOI
12	Filipiak M, Napierala-Filipiak A. Relation between the height of Larix kaempferi and some climatic characteristics in Poland. Dendrobiology, 2008, 60: 11-17
13	Frenne PD, Graae BJ, Rodríguez-Sanchez F, Kolb A, Verheyen K. Latitudinal gradients as natural laboratories to infer species’ responses to temperature. J Ecol, 2013, 101(3): 784-795, DOI
14	Gilmour A, Gogel B, Cullis B, Thompson R (2009) ASReml User Guide Release 3.0 VSN Hemel Hempstead: International Ltd. Hemel Hempstead, UK, p 23
15	Ginestet C. ggplot2: elegant graphics for data analysis. J R Stat Soc, 2011, 174: 245-246, DOI
16	Gugger PF, Fitz-Gibbon S, PellEgrini M, Sork VL. Species-wide patterns of DNA methylation variation in Quercus lobata and their association with climate gradients. Mol Ecol, 2016, 25(8): 1665-1680, DOI
17	Hardawati Y, Bhumibhamon S, Sookchaloem D. Diversity status and sustainable uses of some Minor Forest Products in Ban Thung Soong Community Forest in Krabi province. Thailand J Sust Dev, 2009, 1(1): 69-74
18	Hayashi Y. Taxonomical and phytogeographical study of Japanese conifers. Cf. f.a., 1960, 16: 2732
19	Hodge GR, Dvorak WS. Provenance variation and within-provenance genetic parameters in Eucalyptus urophylla across 125 test sites in Brazil, Colombia, Mexico, South Africa and Venezuela. Tree Genet Genomes, 2015, 12(2): 344-357
20	Hoshi H (2004) Forest Tree Genetic Resources conservation stands of apanese Larch (Larix kaempferi (Lamb.) Carr.). Forest Tree Breeding Center, Japan. https://www.ffpri.affrc.go.jp/ftbc/research/kakonokouhousi/documents. Accessed on 13 Sept 2021
21	Ingvarsson PK, Street NR. Association genetics of complex traits in plants. New Phytol, 2011, 189(4): 909-922, DOI
22	Johnson Z, Zinser E, Coe A, Mcnulty N, Woodward E, Chisholm S. Niche partitioning among prochlorococcus ecotypes along ocean-scale environmental gradients. Science, 2006, 311(5768): 1737-1740, DOI
23	Jose-Maldia LS, Uchida K, Tomaru N. Mitochondrial DNA variation in natural populations of Japanese larch (Larix kaempferi). Silvae Genet, 2009, 24(6): 555-558
24	Langlet O. Two hundred years genecology. Taxon, 1971, 20(5–6): 653-721, DOI
25	Leonelli G, Pelfini M, Battipaglia G, Cherubini P. Site-aspect influence on climate sensitivity over time of a high-altitude Pinus cembra tree-ring network. Clim Change, 2009, 96(1): 185-201, DOI
26	López-Goldar X, Agrawal AA. Ecological interactions, environmental gradients, and gene flow in local adaptation. Trends Plant Sci, 2021, 26(8): 796-809, DOI
27	Lortie CJ, Hierro JL. A synthesis of local adaptation to climate through reciprocal common gardens. J Ecol, 2021, 00: 1-7
28	Maaten-Theunissen M, Bouriaud O. Climate-growth relationships at different stem heights in silver fir and Norway spruce. Can J Forest Res, 2012, 42(5): 958-969, DOI
29	Magnussen S, Park YS. Growth-curve differentiation among Japanese larch provenances. Can J Forest Res, 1991, 21(4): 504-513, DOI
30	McKown A, Guy RD, Klápště J, Geraldes A, Friedmann M, Cronk Q, El-Kassaby Y, Mansfield S, Douglas C. Geographical and environmental gradients shape phenotypic trait variation and genetic structure in Populus trichocarpa. New Phytol, 2014, 201(4): 1263-1276, DOI
31	Mu Q, Guo TT, Li XR, Yu JM. Phenotypic plasticity in plant height shaped by interaction between genetic loci and diurnal temperature range. New Phytol, 2021, 117: 733-748
32	Nagaike T. Effects of altitudinal gradient on species composition of naturally regenerated trees in Larix kaempferi plantations in central Japan. J Forest Res-Jpn, 2010, 15(1): 65-70, DOI
33	Nagamitsu T, Nagasaka K, Yoshimaru H, Tsumura Y. Provenance tests for survival and growth of 50-year-old Japanese larch (Larix kaempferi) trees related to climatic conditions in central Japan. Tree Genet Genomes, 2013, 10(1): 87-99, DOI
34	Ngulube MR. Seed germination, seedling growth and biomass production of eight Central-American multipurpose trees under nursery conditions in Zomba. Malawi for Ecol Manag, 1989, 27(1): 21-27
35	Pan Y, Jiang L, Xu G, Li J, Wang B, Li YX, Zhao X. Evaluation and selection analyses of 60 Larix kaempferi clones in four provenances based on growth traits and wood properties. Tree Genet Genomes, 2020, 16: 1-1, DOI
36	Paques LE. Genetic diversity in larch. I. Results of 34 years of provenance testing with European larch. Ann Forest Sci, 1996, 53: 51-67
37	Park YS, Fowler DP. A provenance test of Japanese larch in eastern Canada, including comparative data on European larch and tamarack. Silvae Genet, 1983, 32(6): 327-330
38	Rammig A, Bebi P, Bugmann H, Fahse. Adapting a growth equation to model tree regeneration in mountain forests. Eur J For Res, 2007, 126(1): 49-57, DOI
39	Rehfeldt GE, Tchebakova NM, Milyutin LI, Parfenova EI, Kouzmina NA. Assessing population responses to climate in Pinus sylvestris and Larix spp. of Eurasia with climate-transfer models. Eur J For Res, 2003, 6: 83-98
40	Self SG, Liang KY. Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc, 1987, 82(398): 605-610, DOI
41	Shater Z, De-Miguel S, Kraid B, Pukkala T, Palahí M. A growth and yield model for even-aged Pinus brutia Ten. stands in Syria. Ann for Sci, 2011, 68(1): 149-157, DOI
42	Soetaert K, Petzoldt T, Setzer RW. Solving differential equations in R: Package deSolve. Am Inst Phys, 2010, 33: 1-25
43	Stettler RF, Bradshaw HD. The choice of genetic material for mechanistic studies of adaptation in forest trees. Tree Physiol, 1994, 14(7–9): 781-796, DOI
44	Vanhove M, Pina-Martins AF, Coelho AC, Branquinho C, Paulo OS. Using gradient Forest to predict climate response and adaptation in Cork oak. J Evolution Biol, 2021, 34(6): 910-923, DOI
45	Wang TL, Wang GY, Innes JL, Seely B, Chen BZ. ClimateAP: an application for dynamic local downscaling of historical and future climate data in Asia Pacific. Front Agr Sci Eng, 2017, 4(4): 448-458, DOI
46	Wu CY, Chen DS, Shen JP, Sun XM, Zhang SG. Estimating the distribution and productivity characters of Larix kaempferi in response to climate change. J Environ Manag, 2021, 280(2): , DOI
47	Zhang H, Zhang SK, Chen SP, Xi D, Yang CP, Zhang XY. Genetic variation and superior provenances selection for wood properties of Larix olgensis at four trials. J For Res, 2022, DOI