Application of resistance drilling to genetic studies of growth, wood basic density and bark thickness in Eucalyptus globulus

References

• Armbruster W, Schwaegerle K. 1996. Causes of covariation of phenotypic traits among populations. Journal of Evolutionary Biology. 9(3):261–276. doi:10.1046/j.1420-9101.1996.9030261.x.
   Web of Science ®Google Scholar
• Astorga R, Soria F, Basurco F, Toval G. 2004. Diversity analysis and genetic structure of Eucalyptus globulus Labill. In: Borralho NMG, Pereira JS, Marques C, Coutinho J, Madeira M, Tomë M, editors. Eucalyptus in a changing world. Proceedings of the IUFRO Conference; 2004 Oct 11 –15. Aveiro (Portugal).
   Google Scholar
• Burdon R. 1977. Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genetica. 26:168–175.
   Web of Science ®Google Scholar
• Callister AN, England N, Collins S. 2011. Genetic analysis of Eucalyptus globulus diameter, straightness, branch size, and forking in Western Australia. Canadian Journal of Forest Research. 41(6):1333–1343. doi:10.1139/x11-036.
   Web of Science ®Google Scholar
• Costa E Silva J, Potts BM, Dutkowski GW. 2006. Genotype by environment interaction for growth of Eucalyptus globulus in Australia. Tree Genetics and Genomes. 2(2):61–75. doi:10.1007/s11295-005-0025-x.
   Web of Science ®Google Scholar
• Costello LR, Quarles SL. 1999. Detection of wood decay in blue gum and elm: an evaluation of the Resistograph and the portable drill. Journal of Arboriculture. 25:311–318.
   Google Scholar
• Downes GM, Hudson I, Raymond CA, Dean GH, Michell AJ, Schimleck LR, Evans R, Muneri A. 1997. Sampling plantation eucalypts for wood and fibre properties. Victoria (Australia): Commonwealth Scientific and Industrial Research Organisation.
   Google Scholar
• Downes GM, Lausberg M, Potts B, Pilbeam D, Bird M, Bradshaw B. 2018. Application of the IML Resistograph to the infield assessment of basic density in plantation eucalypts. Australian Forestry. 81(3):177–185. doi:10.1080/00049158.2018.1500676.
   Web of Science ®Google Scholar
• Downham R, Gavran M. 2018. Australian plantation statistics 2018 update. Canberra (Australia): Australian Bureau of Agricultural and Resource Economics and Sciences.
   Google Scholar
• Dutkowski GW, Potts BM. 1999. Geographic patterns of genetic variation in Eucalyptus globulus ssp. globulus and a revised racial classification. Australian Journal of Botany. 47(2):237. doi:10.1071/BT97114.
   Web of Science ®Google Scholar
• Dutkowski GW, Potts BM. 2011. Drought tolerant Eucalyptus globulus provenances have thick bark, high basic density and grow poorly on wet sites. In: Gonçalves JLDM, Stape JL, Grattapaglia D, Pulito AP, Abdala AL, Seixas F, Laclau JP, Bouillet JPD, Arthur JC Jr, Silva LD et al., editors. Improvement and culture of eucalypts. Proceedings of the IUFRO Conference; 2011 Nov 14–18; Porto Seguro, Bahia State, Brazil. Piracicaba (Brazil): Escola Superior de Agricultura “Luiz de Queiroz”.
   Google Scholar
• Dutkowski GW, Potts BM. 2012. Genetic variation in the susceptibility of Eucalyptus globulus to drought damage. Tree Genetics and Genomes. 8(4):757–773. doi:10.1007/s11295-011-0461-8.
   Web of Science ®Google Scholar
• Edelaar P, Björklund M. 2011. If FST does not measure neutral genetic differentiation, then comparing it with QST is misleading. Or is it? Molecular Ecology. 20(9):1805–1812. doi:10.1111/j.1365-294X.2011.05051.x.
   PubMed Web of Science ®Google Scholar
• Falconer DS, Mackay TFC. 1996. Introduction to quantitative genetics. 4th ed. Essex (UK): Longman Group Ltd.
   Google Scholar
• Fundova I, Funda T, Wu HX, Gomory D. 2018. Non-destructive wood density assessment of Scots pine (Pinus sylvestris L.) using Resistograph and Pilodyn. PLOS One. 13(9):e0204518. doi:10.1371/journal.pone.0204518.
   PubMed Web of Science ®Google Scholar
• Gauli A, Vaillancourt RE, Bailey TG, Steane DA, Potts BM. 2015. Evidence for local climate adaptation in early-life traits of Tasmanian populations of Eucalyptus pauciflora. Tree Genetics and Genomes. 11(5):104. doi:10.1007/s11295-015-0930-6.
   Web of Science ®Google Scholar
• Gill RMA. 1992. A review of damage by mammals in north temperate forests: 1. Deer. Forestry. 65(2):145–169. doi:10.1093/forestry/65.2.145.
   Web of Science ®Google Scholar
• Gilmour A, Gogel B, Cullis B, Welham S, Thompson R. 2015. ASReml user guide. Hemel Hempstead (UK): VSN International Ltd.
   Google Scholar
• Greenwood S, Ruiz‐Benito P, Martínez‐Vilalta J, Lloret F, Kitzberger T, Allen CD, Fensham R, Laughlin DC, Kattge J, Bönisch G. 2017. Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area. Ecology Letters. 20(4):539–553. doi:10.1111/ele.12748.
   PubMed Web of Science ®Google Scholar
• Griffin A, Cotterill P. 1988. Genetic variation in growth of outcrossed, selfed and open-pollinated progenies of Eucalyptus regnans and some implications for breeding strategy. Silvae Genetica. 37(3–4):124–131.
   Web of Science ®Google Scholar
• Hacke UG, Sperry JS, Pockman WT, Davis SD, McCulloh KA. 2001. Trends in wood density and structure are linked to prevention of xylem implosion by negative pressure. Oecologia. 126(4):457–461. doi:10.1007/s004420100628.
   PubMed Web of Science ®Google Scholar
• Hamilton MG, Williams DR, Tilyard PA, Pinkard EA, Wardlaw TJ, Glen M, Vaillancourt RE, Potts BM. 2013. A latitudinal cline in disease resistance of a host tree. Heredity. 110(4):372–379. doi:10.1038/hdy.2012.106.
   PubMed Web of Science ®Google Scholar
• Harwood C. 2011. New introductions – doing it right. In: Walker J, editor. Developing a eucalypt resource: learning from Australia and elsewhere. Christchurch (New Zealand): Wood Technology Research Centre, University of Canterbury; p. 43–54.
   Google Scholar
• Husch B, Beers TW, Kershaw JJA. 2002. Forest mensuration. 4th ed. Hoboken (NJ): John Wiley & Sons.
   Google Scholar
• Isik F, Holland J, Maltecca C. 2017. Genetic data analysis for plant and animal breeding. Cham (Switzerland): Springer International Publishing AG.
   Google Scholar
• Isik F, Li B. 2003. Rapid assessment of wood density of live trees using the Resistograph for selection in tree improvement programs. Canadian Journal of Forest Research. 33(12):2426–2435. doi:10.1139/x03-176.
   Web of Science ®Google Scholar
• Johnstone DM, Ades PK, Moore GM, Smith IW. 2007. Predicting wood decay in eucalypts using an expert system and the IML-Resistograph drill. Arboriculture and Urban Forestry. 33(2):76.
   Google Scholar
• Jordan GJ, Potts BM, Clarke AR. 2002. Susceptibility of Eucalyptus globulus ssp. globulus to sawfly (Perga affinis ssp. insularis) attack and its potential impact on plantation productivity. Forest Ecology and Management. 160(1):189–199. doi:10.1016/S0378-1127(01)00445-5.
   Web of Science ®Google Scholar
• Jordan GJ, Potts BM, Wiltshire RJ. 1999. Strong, independent, quantitative genetic control of the timing of vegetative phase change and first flowering in Eucalyptus globulus ssp. globulus (Tasmanian blue gum). Heredity. 83(2):179–187. doi:10.1046/j.1365-2540.1999.00570.x.
   PubMed Web of Science ®Google Scholar
• Kriebel HB. 1954. Bark thickness as a factor in resistance to White Pine weevil injury. Journal of Forestry. 52(11):842–845.
   Google Scholar
• Lanuza-Garay A, Barrios H. 2018. Host specificity and wood density-based host choice by longhorn beetles (Coleoptera: cerambycidae) in a panamanian lowland rainforest. The Coleopterists Bulletin. 72(3):590–597. doi:10.1649/0010-065X-72.3.590.
   Web of Science ®Google Scholar
• Latta RG. 1998. Differentiation of allelic frequencies at quantitative trait loci affecting locally adaptive traits. The American Naturalist. 151(3):283–292. doi:10.1086/286119.
   PubMed Web of Science ®Google Scholar
• Lawes MJ, Adie H, Russell-Smith J, Murphy B, Midgley JJ. 2011. How do small savanna trees avoid stem mortality by fire? The roles of stem diameter, height and bark thickness. Ecosphere. 2(4):1–13. doi:10.1890/ES10-00204.1.
   Web of Science ®Google Scholar
• Leinonen T, McCairns RS, O’Hara RB, Merilä J. 2013. QST–FST comparisons: evolutionary and ecological insights from genomic heterogeneity. Nature Reviews. Genetics. 14(3):179. doi:10.1038/nrg3395.
   PubMed Web of Science ®Google Scholar
• López GA, Potts BM, Dutkowski GW, Apiolaza LA, Gelid P. 2002. Genetic variation and inter-trait correlations in Eucalyptus globulus base population trials in Argentina. Forest Genetics. 9(3):217–231.
   Google Scholar
• López GA, Potts BM, Dutkowski GW, Rodriguez Traverso J. 2001. Quantitative genetics of Eucalyptus globulus: affinities of land race and native stand localities. Silvae Genetica. 50(5–6):244–252.
   Web of Science ®Google Scholar
• MacDonald A, Borralho N, Potts B. 1997. Genetic variation for growth and wood density in Eucalyptus globulus ssp. globulus in Tasmania (Australia). Silvae Genetica. 46(4):236–241.
   Web of Science ®Google Scholar
• Meirmans PG, Hedrick PW. 2011. Assessing population structure: FST and related measures. Molecular Ecology Resources. 11(1):5–18. doi:10.1111/j.1755-0998.2010.02927.x.
   PubMed Web of Science ®Google Scholar
• Nabais C, Hansen JK, David-Schwartz R, Klisz M, López R, Rozenberg P. 2018. The effect of climate on wood density: what provenance trials tell us? Forest Ecology and Management. 408:148–156. doi:10.1016/j.foreco.2017.10.040.
   Web of Science ®Google Scholar
• Nickolas H, Williams D, Downes G, Tilyard P, Harrison PA, Vaillancourt RE, Potts B. 2020. Genetic correlations among pulpwood and solid-wood selection traits in Eucalyptus globulus. New Forests. 51(1):137–158. doi:10.1007/s11056-019-09721-0.
   Web of Science ®Google Scholar
• O’Reilly-Wapstra JM, Miller AM, Hamilton MG, Williams D, Glancy-Dean N, Potts BM. 2013. Chemical variation in a dominant tree species: population divergence, selection and genetic stability across environments. PLOS One. 8(3):e58416. doi:10.1371/journal.pone.0058416.
   PubMed Web of Science ®Google Scholar
• Peiman KS, Robinson BW. 2017. Comparative analyses of phenotypic trait covariation within and among populations. The American Naturalist. 190(4):451–468. doi:10.1086/693482.
   PubMed Web of Science ®Google Scholar
• Potts BM, Hamilton MG, Pilbeam DJ. 2014. Mejoramiento genético de eucaliptos de zonas templadas en Australia [Genetic improvement of temperate eucalypts in Australia]. In: Ipinza R, Barros SA, Gutiérrez BC, Borralho NMG, editors. Mejoramiento Genético de Eucaliptos de en Chile. Santiago (Chile): Instituto Forestal.
   Google Scholar
• Potts BM, Vaillancourt RE, Jordan G, Dutkowski GW, Costa E Silva J, McKinnon G, Steane D, Volker P, Lopez G, Apiolaza L, et al. 2004. Exploration of the Eucalyptus globulus gene pool. In: Borralho NMG, Pereira JS, Marques C, Coutinho J, Madeira M, Tomë M, editors. Eucalyptus in a changing world. Proceedings IUFRO Conference; 2004 Oct 11–15; Aveiro (Portugal); p. 413–446.
   Google Scholar
• R Core Team. 2018. R: a language and environment for statistical computing. [accessed 2019 Feb 10]. Available from: http://www.R-project.org
   Google Scholar
• Raymond CA, Apiolaza LA. 2004. Incorporating wood quality and deployment traits in Eucalyptus globulus and Eucalyptus nitens. In: Walter C, Carson M, editors. Plantation forest biotechnology for the 21st century. Trivandrum (India): Research Signpost; p. 87–99.
   Google Scholar
• Retief E, Stanger T. 2009. Genetic control of wood density and bark thickness, and their correlations with diameter, in pure and hybrid populations of Eucalyptus grandis and E. urophylla in South Africa. Southern Forests: A Journal of Forest Science. 71(2):147–153. doi:10.2989/SF.2009.71.2.10.825.
   Web of Science ®Google Scholar
• Rezende GDSP, Resende MDV, Assis TF. 2014. Eucalyptus breeding for clonal forestry. In: Fenning T, editor. Challenges and opportunities for the world’s forests in the 21st century. Dordrecht (Netherlands): Springer; p. 393–424.
   Google Scholar
• Rosell JA. 2016. Bark thickness across the angiosperms: more than just fire. New Phytologist. 211(1):90–102. doi:10.1111/nph.13889.
   PubMed Web of Science ®Google Scholar
• Ruiz Diaz Britez M, Sergent A-S, Martinez MA, Bréda N, Rozenberg P. 2014. Wood density proxies of adaptive traits linked with resistance to drought in Douglas fir (Pseudotsuga menziesii (Mirb.) Franco). Trees. 28(5):1289–1304. doi:10.1007/s00468-014-1003-4.
   Web of Science ®Google Scholar
• Salas M, Nieto V, Perafán L, Sánchez A, Borralho NMG. 2014. Genetic parameters and comparison between native and local landraces of Eucalyptus globulus Labill. ssp. globulus growing in the central highlands of Colombia. Annals of Forest Science. 71(3):405–414. doi:10.1007/s13595-013-0342-4.
   Web of Science ®Google Scholar
• Santini NS, Cleverly J, Faux R, Lestrange C, Rumman R, Eamus D. 2016. Xylem traits and water-use efficiency of woody species co-occurring in the Ti Tree Basin arid zone. Trees. 30(1):295. doi:10.1007/s00468-015-1301-5.
   Web of Science ®Google Scholar
• Sharapov E, Brischke C, Militz H, Smirnova E. 2019. Prediction of modulus of elasticity in static bending and density of wood at different moisture contents and feed rates by drilling resistance measurements. European Journal of Wood and Wood Products. 77(5):833–842. doi:10.1007/s00107-019-01439-2.
   Web of Science ®Google Scholar
• Silva C, Xavier CN, Santos P, Carvalho A, Latorraca J, Brancalion PHS. 2017. Estimation of wood density in living trees of Cedrela fissilis Vell. through resistographic analysis. Scientia Forestalis. 45(113):139–144.
   Web of Science ®Google Scholar
• Smith DM. 1954. Maximum moisture content method for determining specific gravity of small wood samples. Madison (WI): United States Department of Agriculture, Forest Service. Forest Products Laboratory Report No. 2014.
   Google Scholar
• Stackpole DJ, Vaillancourt RE, Alves A, Rodrigues J, Potts BM. 2011. Genetic variation in the chemical components of Eucalyptus globulus wood. G3 (Bethesda). 1(2):151–159. doi:10.1534/g3.111.000372.
   PubMedGoogle Scholar
• Stackpole DJ, Vaillancourt RE, de Aguigar M, Potts BM. 2010a. Age trends in genetic parameters for growth and wood density in Eucalyptus globulus. Tree Genetics and Genomes. 6(2):179–193. doi:10.1007/s11295-009-0239-4.
   Web of Science ®Google Scholar
• Stackpole DJ, Vaillancourt RE, Downes GM, Harwood CE, Potts BM. 2010b. Genetic control of kraft pulp yield in Eucalyptus globulus. Canadian Journal of Forest Research. 40(5):917–927. doi:10.1139/X10-035.
   Web of Science ®Google Scholar
• Stayton CL, Hoffman M. 1970. Estimating sugar maple bark thickness and volume. St. Paul (MN): Forest Service, US Department of Agriculture.
   Google Scholar
• Steane DA, Conod N, Jones RC, Vaillancourt RE, Potts BM. 2006. A comparative analysis of population structure of a forest tree, Eucalyptus globulus (Myrtaceae), using microsatellite markers and quantitative traits. Tree Genetics and Genomes. 2(1):30–38. doi:10.1007/s11295-005-0028-7.
   Web of Science ®Google Scholar
• Thomas RE, Bennett ND. 2014. Estimating bark thicknesses of common Appalachian hardwoods. In: Groninger JW, Holzmueller EJ, Nielsen CK, Dey D, editors. 19th Central Hardwood Forest Conference; 2014 Mar 10–12; Carbondale, IL. Newtown Square (PA): US Department of Agriculture, Forest Service, Northern Research Station.
   Google Scholar
• Venturas MD, Sperry JS, Hacke UG. 2017. Plant xylem hydraulics: what we understand, current research, and future challenges. Journal of Integrative Plant Biology. 59(6):356–389. doi:10.1111/jipb.12534.
   PubMed Web of Science ®Google Scholar
• Wei X, Borralho N. 1997. Genetic control of wood basic density and bark thickness and their relationships with growth traits of Eucalyptus urophylla in south east China. Silvae Genetica. 46(4):245–249.
   Web of Science ®Google Scholar
• Xu T, Hutchinson MF. 2013. New developments and applications in the ANUCLIM spatial climatic and bioclimatic modelling package. Environmental Modelling and Software. 40:267–279. doi:10.1016/j.envsoft.2012.10.003.
   Web of Science ®Google Scholar
• Yang R-C, Yeh FC, Yanchuk AD. 1996. A comparison of isozyme and quantitative genetic variation in Pinus contorta ssp. latifolia by FST. Genetics. 142(3):1045–1052.
   PubMed Web of Science ®Google Scholar