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Tree Genetics & Genomes

, 4:797 | Cite as

Inheritance of foliar stable carbon isotope discrimination and third-year height in Pinus taeda clones on contrasting sites in Florida and Georgia

  • Brian S. BaltunisEmail author
  • Timothy A. Martin
  • Dudley A. Huber
  • John M. Davis
Original Paper

Abstract

Quantifying foliar stable carbon isotope discrimination (Δ) is a powerful approach for understanding genetic variation in gas exchange traits in large populations. The genetic architecture of Δ and third-year height is described for more than 1,000 clones of Pinus taeda tested on two contrasting sites. \(\hat h^2 \) for Δ was 0.14 (±0.03), 0.20 (±0.07), and 0.09 (±0.04) at Florida, Georgia, and across sites, respectively. \(\hat H^2 \) for stable carbon isotope discrimination ranged from 0.25 (±0.03) at the Florida site to 0.33 (±0.03) at the Georgia site, while the across-site estimate of \(\hat H^2 \) was 0.19 (±0.02). For third-year height, \(\hat h^2 \) ranged from 0.13 (±0.05) at the Georgia site to 0.20 (±0.06) at the Florida site with an across-site estimate of 0.09 (±0.05). Broad-sense heritability estimates for third-year height were 0.23 (±0.03), 0.28 (±0.03), and 0.13 (±0.02) at the Florida site, Georgia site, and across sites, respectively. Type B total genetic correlation for Δ was 0.70 ± 0.06, indicating that clonal rankings were relatively stable across sites, while for third-year height, rankings of clones were more unstable across the two trials \(\left( {\hat r_{B_{TG} } = 0.55 \pm 0.08} \right)\). Third-year height and Δ were negatively correlated at the parental \(\left( {\hat r_{ADD} = - 0.42 \pm 0.33} \right)\), full-sib family \(\left( {\hat r_{FS} = - 0.54 \pm 0.25} \right)\), and clonal \(\left( {\hat r_{TG} = - 0.30 \pm 0.11} \right)\) levels, suggesting that genetic variation for Δ in P. taeda may be a result of differences in photosynthetic capacity. We conclude that Δ may be a useful selection trait to improve water-use efficiency and for guiding deployment decisions in P. taeda.

Keywords

Stable carbon isotope discrimination Clones Pinus taeda 

Notes

Acknowledgements

This research was funded by USDA-CSREES-IFAFS (Award No. 2001-52100-11315). Thanks to Rayonier and MeadWestvaco for providing access to the study sites and to the members of the University of Florida Forest Biology Research Cooperative for financial and in-kind support. We thank Brian Roth, Paul Proctor, Vanessa Tischler, Tania Quesada, and Gogce Kayihan for field and laboratory assistance. We also thank Chris Harwood and David Bush for their helpful comments on an earlier draft of the manuscript.

References

  1. Aitken SN, Kavanagh KL, Yoder BJ (1995) Genetic variation in seedling water-use efficiency as estimated by carbon isotope ratios and its relationship to sapling growth in Douglas-fir. For Genet 2(4):199–206Google Scholar
  2. Baltunis BS (2005) Genetic effects of rooting ability and early growth traits in loblolly pine clones. Ph.D. Dissertation, Univ. Florida, Gainesville, FL, 101 ppGoogle Scholar
  3. Baltunis BS, Huber DA, White TL, Goldfarb B, Stelzer HE (2005) Genetic effects of rooting loblolly pine stem cuttings from a partial diallel mating design. Can J For Res 35:1098–1108CrossRefGoogle Scholar
  4. Baltunis BS, Huber DA, White TL, Goldfarb B, Stelzer HE (2007) Genetic analysis of early field growth of loblolly pine clones and seedlings from the same full-sib families. Can J For Res 37:195–205CrossRefGoogle Scholar
  5. Boltz BA, Bongarten BC, Teskey RO (1986) Seasonal patterns of net photosynthesis of loblolly pine from diverse origins. Can J For Res 16:1063–1068CrossRefGoogle Scholar
  6. Brendel O, Pot D, Plomion C, Rozenberg P, Guehl JM (2002) Genetic parameters and QTL analysis of d 13C and ring width in maritime pine. Plant Cell Environ 25:945–953CrossRefGoogle Scholar
  7. Burdon RD (1977) Genetic correlation as a concept for studying genotype-environment interaction in forest tree breeding. Silvae Genet 26:168–175Google Scholar
  8. Burdon RD (1982) Breeding for productivity-jackpot or will-o-the-wisp? In: Physiology and genetics of intensive culture, Proc. Seventh North American Forest Biology Workshop, Lexington, KY, pp 35–51Google Scholar
  9. Cannell MGR (1979) Biological opportunities for genetic improvement in forest productivity. In: Ford ED et al (ed) The ecology of even-aged forest plantations. Institute of Terrestrial Ecology, Cambridge, pp 119–144Google Scholar
  10. Comstock RE, Moll RH (1963) Genotype–environment interactions. In: Hanson RE, Robinson HF (eds) Statistical genetics and plant breeding. NAS-NRC Publ. 982. NAS-NRC, Washington, DC, pp 53–93Google Scholar
  11. Condon AG, Richards RA (1992) Broad sense heritability and genotype x environment interaction for carbon isotope discrimination in field-grown wheat. Aust J Agric Res 43:921–934CrossRefGoogle Scholar
  12. Craig H (1954) Carbon-13 in plants and the relationship between carbon-13 and carbon-14 variations in nature. J Geol 62:115–149CrossRefGoogle Scholar
  13. Cregg BM, Olivas-Garcia JM, Hennessey TC (2000) Provenance variation in carbon isotope discrimination of mature ponderosa pine trees at two locations in the Great Plains. Can J For Res 30:428–439CrossRefGoogle Scholar
  14. Dickmann DI (1991) Role of physiology in forest tree improvement. Silva Fenn 25:248–256Google Scholar
  15. Ebdon JS, Kopp KL (2004) Relationships between water use efficiency, carbon isotope discrimination, and turf performance in genotypes of Kentucky bluegrass during drought. Crop Sci 44:1754–1762Google Scholar
  16. Emhart VI (2005) Physiological genetics of contrasting loblolly and slash pine families and clones. Ph.D. Dissertation, Univ. Florida, Gainesville, FL, 97 ppGoogle Scholar
  17. Emhart VI, Martin TA, White TL, Huber DA (2007) Clonal variation in crown structure, absorbed photosynthetically active radiation and growth of loblolly and slash pines. Tree Physiol 27:421–430PubMedGoogle Scholar
  18. Farquhar GD, O’Leary MH, Berry JA (1982) On the relationship between carbon isotope discrimination and the intercellular carbon dioxide concentration in leaves. Aust J Plant Physiol 9:121–137CrossRefGoogle Scholar
  19. Farquhar GD, Ehleringer JR, Hubick KT (1989) Carbon isotope discrimination and photosynthesis. Annu Rev Plant Physiol 40:503–537CrossRefGoogle Scholar
  20. Foster GS, Shaw DV (1988) Using clonal replicates to explore genetic variation in a perennial plant species. Theor Appl Genet 76:788–794CrossRefGoogle Scholar
  21. Gebremedhin MT (2003) Variation in growth, water relations, gas exchange, and stable carbon isotope composition among clones of loblolly pine (Pinus taeda L.) under water stress. M.S. Thesis, Univ. Florida, Gainesville, FL, 83 ppGoogle Scholar
  22. Gilmour AR, Gogel BJ, Cullis BR, Thompson R (2005) ASReml user guide release 2.0. VSN International Ltd., Hemel Hempstead, p 267Google Scholar
  23. Gonzalez-Martinez SC, Ersoz E, Brown GR, Wheeler NC, Neale DB (2006) DNA sequence variation and selection of tag single-nucleotide polymorphisms at candidate genes for drought-stress response in Pinus taeda L. Genetics 172:1915–1926PubMedCrossRefGoogle Scholar
  24. Grossnickle SC, Fan S (1998) Genetic variation in summer gas exchange patterns of interior spruce (Picea glauca (Moench) Voss x Picea engelmannii Parry ex Engelm.). Can J For Res 28:831–840CrossRefGoogle Scholar
  25. Johnsen KH, Flanagan LB, Huber DA, Major JE (1999) Genetic variation in growth, carbon isotope discrimination, and foliar N concentration in Picea mariana: analyses from a half-diallel mating design using field-grown trees. Can J For Res 29:1727–1735CrossRefGoogle Scholar
  26. Korol RL, Kirschbaum MUF, Farquhar GD, Jeffreys M (1999) Effects of water status and soil fertility on the C-isotope signature in Pinus radiata. Tree Physiol 19:551–562PubMedGoogle Scholar
  27. Lauteri M, Pliura A, Monteverdi MC, Brugnoli E, Villani F, Eriksson G (2004) Genetic variation in carbon isotope discrimination in six European populations of Castanea sativa Mill. originating from contrasting localities. J Evol Biol 17:1286–1296PubMedCrossRefGoogle Scholar
  28. Martin TA, Dougherty PM, Topa MA, McKeand SE (2005) Strategies and case studies for incorporating ecophysiology into southern pine tree improvement programs. South J Appl For 29:70–79Google Scholar
  29. McGarvey RC, Martin TA, White TL (2004) Integrating within-crown variation in net photosynthesis in loblolly and slash pine families. Tree Physiol 24:1209–1220PubMedGoogle Scholar
  30. Monclus R, Dreyer E, Delmotte FM, Villar M, Delay D, Boudouresque E, Petit JM, Marron N, Brechet C, Brignolas F (2005) Productivity, leaf traits and carbon isotope discrimination in 29 Populus deltoids x P. nigra clones. New Phytol 167:53–62PubMedCrossRefGoogle Scholar
  31. Neale DB, Savolainen O (2004) Association genetics of complex traits in conifers. Trends Plant Sci 9:325–330PubMedCrossRefGoogle Scholar
  32. Olivas-Garcia JM, Cregg BM, Hennessey TC (2000) Genotype variation in carbon isotope discrimination and gas exchange of ponderosa pine seedlings under two levels of water stress. Can J For Res 30:1581–1590CrossRefGoogle Scholar
  33. Pita P, Soria F, Canas I, Toval G, Pardos JA (2001) Carbon isotope discrimination and its relationship to drought resistance under field conditions in genotypes of Eucalyptus globulus Labill. For Ecol Manag 141:211–221CrossRefGoogle Scholar
  34. Prasolova NV, Xu ZH, Farquhar GD, Saffigna PG, Dieters MJ (2000) Variation in branchlet d 13C in relation to branchlet nitrogen concentration and growth in 8-year-old hoop pine families (Araucaria cunninghamii) in subtropical Australia. Tree Physiol 20:1049–1055PubMedGoogle Scholar
  35. Prasolova NV, Xu Z, Farquhar GD, Saffigna PG, Dieters MJ (2001) Canopy carbon and oxygen isotope composition of 9-year-old hoop pine families in relation to seedling carbon isotope composition, growth, field growth performance, and canopy nitrogen concentration. Can J For Res 31:673–681CrossRefGoogle Scholar
  36. Prasolova NV, Xu ZH, Lundkvist K, Farquhar GD, Dieters MJ, Walker S, Saffigna PG (2003) Genetic variation in foliar carbon isotope composition in relation to tree growth and foliar nitrogen concentration in clones of the F1 hybrid between slash pine and Caribbean pine. For Ecol Manag 172:145–160CrossRefGoogle Scholar
  37. Rebetzke GJ, Condon AG, Richards RA, Farquhar GD (2002) Selection for reduced carbon isotope discrimination increases aerial biomass and grain yield of rainfed bread wheat. Crop Sci 42:739–745Google Scholar
  38. Rebetzke GJ, Richards RA, Condon AG, Farquhar GD (2006) Inheritance of carbon isotope discrimination in bread wheat (Triticum aestivum L.). Euphytica 150:97–106CrossRefGoogle Scholar
  39. Rytter RM (2005) Water use efficiency, carbon isotope discrimination and biomass production of two sugar beet varieties under well-watered and dry conditions. J Agron and Crop Sci 191:426–438CrossRefGoogle Scholar
  40. Samuelson LJ (2000) Effects of nitrogen on leaf physiology and growth of different families of loblolly and slash pine. New For 19:95–107Google Scholar
  41. Silim SN, Guy RD, Patterson TB, Livingston NJ (2001) Plasticity in water-use efficiency of Picea sitchensis, P. glauca and their natural hybrids. Oecologia 128:317–325CrossRefGoogle Scholar
  42. Stover CM (2005) A physiological and morphological analysis of the effects of nitrogen supply on the relative growth rates of nine loblolly pine (Pinus taeda L.) clones. M.S. Thesis, Texas A&M Univ., College Station, TX, 62 pGoogle Scholar
  43. Sun ZL, Livingston NJ, Guy RD, Ethier GJ (1996) Stable carbon isotopes as indicators of increased water use efficiency and productivity in white spruce (Picea glauca (Moench) Voss) seedlings. Plant Cell Environ 19:887–894CrossRefGoogle Scholar
  44. Voltas J, Serrano L, Hernandez M, Peman J (2006) Carbon isotope discrimination, gas exchange and stem growth of four Euramerican hybrid poplars under different watering regimes. New For 31:435–451Google Scholar
  45. Williams ER, Matheson AC, Harwood CE (2002) Experimental design and analysis for tree improvement, 2nd edn. CSIRO Publishing, Collingwood, p 214Google Scholar
  46. Xu ZH, Saffigna PG, Farquhar GD, Simpson JA, Haines RJ, Walker S, Osborne DO, Guinto D (2000) Carbon isotope discrimination and oxygen isotope composition in clones of the F1 hybrid between slash pine and Caribbean pine in relation to tree growth, water-use efficiency and foliar nutrient concentration. Tree Physiol 20:1209–1218PubMedGoogle Scholar
  47. Yamada Y (1962) Genotype by environment interaction and genetic correlation of the same trait under different environments. Jap J Genet 37:498–509CrossRefGoogle Scholar
  48. Zacharisen MH, Brick MA, Fisher AG, Ogg JB, Ehleringer JR (1999) Relationship between productivity and carbon isotope discrimination among dry bean lines and F2 progeny. Euphytica 105:239–250CrossRefGoogle Scholar
  49. Zhang J, Marshall JD, Jaquish BC (1993) Genetic differentiation in carbon isotope discrimination and gas exchange in Pseudotsuga menziesii. Oecologia 93:80–87CrossRefGoogle Scholar
  50. Zhang J, Fins L, Marshall JD (1994) Stable carbon isotope discrimination, photosynthetic gas exchange, and growth differences among western larch families. Tree Physiol 14:531–539PubMedGoogle Scholar
  51. Zhang J, Marshall JD, Fins L (1996) Correlated population differences in dry matter accumulation, allocation, and water-use efficiency in three sympatric conifer species. For Sci 42:242–249Google Scholar

Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • Brian S. Baltunis
    • 1
    Email author
  • Timothy A. Martin
    • 2
  • Dudley A. Huber
    • 2
  • John M. Davis
    • 2
    • 3
  1. 1.Forest BiosciencesCSIROKingstonAustralia
  2. 2.School of Forest Resources and ConservationUniversity of FloridaGainesvilleUSA
  3. 3.Genetics InstituteUniversity of FloridaGainesvilleUSA

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