1. bookVolume 62 (2013): Issue 1-6 (December 2013)
Journal Details
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Journal
eISSN
2509-8934
First Published
22 Feb 2016
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1 time per year
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English
access type Open Access

Genetic parameters for early growth and biomass traits of Pinus radiata D. Don under different water regimes

Published Online: 01 Jul 2017
Volume & Issue: Volume 62 (2013) - Issue 1-6 (December 2013)
Page range: 110 - 116
Received: 13 Sep 2012
Journal Details
License
Format
Journal
eISSN
2509-8934
First Published
22 Feb 2016
Publication timeframe
1 time per year
Languages
English
Abstract

In Chile, genetic improvement of Radiata pine has been directed towards characters such as volume, form and wood density. Estimation of genetic parameters for growth and biomass traits in young seedlings, as a tool for early indirect selection in the P. radiata breeding program, has not been explored yet. We aimed to estimate genetic parameters for growth and biomass traits. Five-month-old P. radiata seedlings grown under wellwatered (WW) and water stress (WS) regimes were evaluated. Root collar diameter, height, shoot dry weight, root dry weight, total dry weight, height/diameter ratio and root/shoot ratio were analyzed in both treatments. Trait with the highest heritability was root/shoot ratio in WW and WS regime (h2 = 0.80 and 0.63 respectively). The highest genetic correlation was between height and shoot dry weight (rg = 0.90), under WW regime. In contrast, there were negative genetic correlations between root collar diameter and height/diameter ratio under WS regime. To breed for drought tolerance, traits such as height and root collar diameter would be effective targets for indirect selection since estimated heritabilities are high, there is sizable genetic variation, they are easily assessed, they can be measured non-destructively and they have a high genetic correlation with root/shoot ratio, a trait related to drought tolerance. The measurement of dry weights for early selection purposes is not recommended.

Keywords

BARNES, R. D. and M. A. SCHWEPPENHAUSER (1978): Pinus patula Schiede and Deppe progeny tests in Rhodesia genetic control of nursery traits. Silvae Genet. 27(5): 200-204.Search in Google Scholar

BURNS, R. M. and B. H. HONKALA (1990): Silvics of North America: 1. Conifers. Agriculture Handbook.Search in Google Scholar

BURDON, R. (1977): Genetic correlation as a concept to studying genotype-environment interaction in forest tree breeding. Silvae Genet. 26: 168-175.Search in Google Scholar

CODESIDO, V., R. Zas and J. FERNÁNDEZ-LÓPEZ (2012): Juvenile-mature genetic correlations in Pinus radiata D. Don. under different nutrient X water regimes in Spain. Eur J Forest Res. 131: 297-305.10.1007/s10342-011-0501-9Search in Google Scholar

CONAMA (2006): Estudio de la variabilidad climática en chile para el Siglo XXI Informe Final Texto. Realizado por: Departamento de Geofísica Facultad de Ciencias. Físicas y Matemáticas. Universidad de Chile. 71 pp.Search in Google Scholar

CONAMA (2009): Análisis de vulnerabilidad del sector silvoagropecuario, recursos hídricos y edáficos de Chilefrente a escenarios de cambio climático. Capítulo: “Impactos productivos en el sector silvoagropecuario de Chile frente a escenarios de cambio climático”. Gobierno de Chile, CONAMA-ODEPA-FIA. Ejecutor: Centro de Agricultura y Medio Ambiente (AGRIMED) Facultad de Ciencias Agronómicas. Universidad de Chile. 58 pp.Search in Google Scholar

ESPINOZA, S. (2012): Caracterización de la raza local de Pinus radiata D. Don en Chile en relación a su diver - sidad genética y respuesta temprana frente a una restricción hídrica. Tesis Doctoral. Universidad de Chile. 115 p.Search in Google Scholar

FALCONER, D. S. (1990): Selection in different environments: effects on environmental sensitivity (reaction norm) and on mean performance. Genet Res. 56: 57-70.10.1017/S0016672300028883Search in Google Scholar

FARFÁN, E. G., J. JASSO, J. LÓPEZ, J. J. VARGAS and C. RAMÍREZ (2002): Parámetros genéticos y eficiencia de la selección temprana en Pinus ayacahuite Ehren. Var ayacahuite. Rev Fitotec Mex. 25(3): 239-246.Search in Google Scholar

GAPARE, W. J., M. IVKOVIC´, M. POWELL, T. A. MCRAE and H. X. WU (2008): Genetics of Shrinkage in Juvenile Trees of Pinus radiata D. Don From Two Test Sites in Australia. Silvae Genet. 57: 145-151.10.1515/sg-2008-0022Search in Google Scholar

GILMOUR, A. R., B. J. GOGEL, B. R. CULLIS and R. THOMPSON (2005): ASReml User Guide Release 2.0, VSN International Ltd, Hemel Hempstead HP1 1ES, UK.Search in Google Scholar

GROSSNICKLE, S. C. (2000): Ecophysiology of northern spruce species: the performance of planted seedlings. NRC Press, Ottawa.Search in Google Scholar

HARFOUCHE, A. (2003): Retrospective early test for adult vigor of Pinus pinaster families grown under two water regimes. Implications for early selection. Ann For Sci. 60: 539-547.Search in Google Scholar

JANSSON, G., A. JONSSON and G. ERIKSSON (1998): Efficiency of early testing in Pinus sylvestris L., grown under two different spacings in growth chamber. Silvae Genet. 47: 298-306.Search in Google Scholar

JOLY, R. J., W. T. ADAMS and S. G. STAFFORD (1989): Phenological and morphological responses of mesic and dry sites sources of coastal Douglas-fir to water deficit. For Sci. 35: 987-1005.Search in Google Scholar

LAMBETH, C. C. (1980): Juvenile-mature correlations in Pinaceae and implication for early selection. Forest Sci. 26: 571-580.Search in Google Scholar

LAMBETH, C. C. and L. A. DILL (2001): Prediction models for juvenile-mature correlations for loblolly pine growth traits within, between and across test sites. Forest Genetics. 8(2): 101-108.Search in Google Scholar

LEVIA, D. F. (2008): A generalized allometric equation to predict foliar dry weight on the basis of trunk diameter for eastern white pine (Pinus strobus L). For Ecol Manag. 255(5/6): 1789-1792.10.1016/j.foreco.2007.12.001Search in Google Scholar

LI, B., G. C. WILLIAMS, W. C. CARLSON, C. A. HARRINGTON and C. C. LAMBETH (1992): Gain efficiency in short term testing: Experimental results. Can J For Res. 22: 290-297.10.1139/x92-038Search in Google Scholar

MUUKKONEN, P. (2007): Generalized allometric volume and biomass equations for some tree species in Europe. Eur J For Res. 126(2): 157-166.10.1007/s10342-007-0168-4Search in Google Scholar

MUÑOZ, M. (2008): Silvicultura de Pinus radiata D. Don. Editorial Universidad de Talca. Talca.Search in Google Scholar

SÁNCHEZ, M.V., J. G. SALAZAR, J. J. VARGAS, U. LÓPEZ and J. JASSO (2003): Parámetros genéticos y respuesta a la selección en características del crecimiento de Cedrela odorata L. Rev Fitotec Mex. 26(1): 19-27.Search in Google Scholar

SHAIEK, O., D. LOUSTAU, P. TRICHET, C. MEREDIEU, B. BACHTOBJI, S. GARCHI and M. H. EL AOUNI (2011): Generalized biomass equations for the main aboveground biomass components of maritime pine across contrasting environments. Ann For Sci. 68: 443-452.10.1007/s13595-011-0044-8Search in Google Scholar

SONESSON, J., G. JANSSON and G. ERIKSSON (2002): Retrospective genetic testing of Picea abies under controlled temperature and moisture regimes. Can J For Res. 32: 81-91.10.1139/x01-175Search in Google Scholar

SONESSON, J. and G. ERIKSSON (2003): Genetic variation in drought tolerance in Picea abies seedlings and its relationship to growth in controlled and field environments. Scand J For Res. 18: 7-18.10.1080/02827581.2003.10383133Search in Google Scholar

TAN, W., T. J. BLAKE and T. J. B. BOYLE (1995): Early selection for drought tolerance and relationship to dry weight partitioning in black spruce families. For Sci. 41: 168-180.10.1093/forestscience/41.1.168Search in Google Scholar

WU, H. X., M. IVKOVIC´, W. J. GAPARE, A. C. MATHESON, B. S. BALTUNIS, M. B. POWELL and T. A. MCRAE (2008): Breeding for wood quality and profit in Pinus radiata: A review of genetic parameter estimates and implications for breeding and deployment. N Z J For Sci. 38(1): 56-87.Search in Google Scholar

ZAS, R. and J. FERNÁNDEZ-LÓPEZ (2005): Juvenile genetic parameters and genotypic stability of Pinus pinaster Ait. open-pollinated families under different water and nutrient regimes. For Sci. 51: 165-174.Search in Google Scholar

ZAS, R., E. MERLO and J. FERNÁNDEZ-LÓPEZ (2004): Juvenile - Mature Genetic Correlations in Pinus pinaster Ait. Under Different Nutrient x Water Regimes. Silvae Genet. 53: 124-129.10.1515/sg-2004-0022Search in Google Scholar

ZOBEL, B. and J. TALBERT (1984): Applied forest tree improvement. John Wiley & Sons, USA.Search in Google Scholar

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