scholarly journals Modelling variation in wood density within and among trees in stands of New Zealand-grown radiata pine

2015 ◽  
Vol 45 (1) ◽  
Author(s):  
Mark O. Kimberley ◽  
Dave J. Cown ◽  
Russell B. McKinley ◽  
John R. Moore ◽  
Leslie J. Dowling
Keyword(s):  
New Zealand ◽  
Wood Density ◽  
Radiata Pine

scholarly journals Genetic variation between and within ex-situ native-provenance collections of Pinus radiata D. Don planted in Australia and New Zealand

2011 ◽  
Vol 60 (1-6) ◽  
pp. 276-285 ◽  
Author(s):  
L. Bian ◽  
W. J. Gapare ◽  
M. Ivković ◽  
P. Jefferson ◽  
H. X. Wu
Keyword(s):  
New Zealand ◽  
Wood Density ◽  
Pinus Radiata ◽  
Genetic Correlations ◽  
Natural Populations ◽  
Radiata Pine ◽  
Ex Situ ◽  
Genetic Base ◽  
Core Length ◽  
Provenance Trials

AbstractA total of 1226 increment cores were sampled from two provenance trials of Pinus radiata D. Don planted in New Zealand (Kaingaroa) and Australia (Kangaroovale), to study variation and inheritance of wood density in selections from three mainland California natural populations: Año Nuevo, Monterey and Cambria. The study represents a back-to-back comparison of the same provenance and family material on contrasting sites between New Zealand and Australia. Monterey was significantly different to Año Nuevo and Cambria at Kaingaroa (p<0.05), and had slightly higher density, whereas all provenances were almost identical and not significantly different at Kangaroovale. However, there were significant differences for wood density at family level for Año Nuevo and Cambria at Kangaroovale. No significant provenance or family differences were detected for core length at either site. The estimates of heritability for wood density were all above 0.50 and generally higher at Kaingaroa than at Kangaroovale. Estimates of additive genetic correlations between wood density and core length were imprecise. Genotype × site interactions for density appeared minor (estimated type-B genetic correlation= 0.70) despite substantial differences in rainfall and soils. The similarity of Cambria to Año Nuevo for density is an interesting result because the genetic base of the present Australian and New Zealand plantations has been shown to be from Año Nuevo and Monterey. Infusion of Cambria material would increase the overall genetic base of the radiata pine breeding programs, with potential long-term benefits, despite the often disappointing growth performance of material collected from Cambria.

Wood density of radiata pine: effect of nitrogen supply

2001 ◽  
Vol 145 (3) ◽  
pp. 173-180 ◽  
Author(s):  
P.N. Beets ◽  
K. Gilchrist ◽  
M.P. Jeffreys
Keyword(s):  
Wood Density ◽  
Radiata Pine ◽  
Nitrogen Supply

Testing for linkage disequilibrium in the New Zealand radiata pine breeding population

2003 ◽  
Vol 108 (2) ◽  
pp. 292-298 ◽  
Author(s):  
S. Kumar ◽  
C. Echt ◽  
P. L. Wilcox ◽  
T. E. Richardson
Keyword(s):  
Linkage Disequilibrium ◽  
New Zealand ◽  
Radiata Pine ◽  
Breeding Population

Implications of selection history on genetic architecture of growth, form, and wood-quality traits in Pinus radiata

2008 ◽  
Vol 38 (9) ◽  
pp. 2372-2381 ◽  
Author(s):  
S. Kumar ◽  
R. D. Burdon ◽  
G. T. Stovold ◽  
L. D. Gea
Keyword(s):  
Wood Density ◽  
Pinus Radiata ◽  
Wood Quality ◽  
Genetic Correlations ◽  
Wood Properties ◽  
Radiata Pine ◽  
Single Pair ◽  
Narrow Sense Heritability ◽  
Tree Form ◽  
Selection History

Clonal trials of Pinus radiata D. Don (radiata pine), representing two populations (or breeds), one selected for growth and form (GF) and the other selected for high wood density as well as growth and form (HD), were replicated on two low-altitude New Zealand sites: Tarawera (pumice soil, 38°08′S) and Woodhill (coastal dune, 36°42′S). The GF material comprised 33 pair-crosses (19 parents) × 10 clones, and the HD material comprised 19 single-pair crosses (35 parents) × 10 clones, with six ramets per clone per site. Diameter (DBH), two tree-form variables, and needle retention (NRA) were assessed 8 years after planting, and wood density (DEN), acoustic velocity, and collapse were assessed 9 years after planting. The site differences were generally expressed more strongly in the GF population. Estimated genetic parameters were mostly similar for the two breeds, except that genotypic correlation between DBH and DEN was apparently zero in the HD population. Estimated broad-sense heritabilities (H2) were generally markedly higher than narrow-sense heritability estimates (h2), except with DEN. Estimated between-site type-B clonal genotypic correlations were generally high (>0.8) for wood properties. Overall, DBH showed adverse genetic correlations with wood properties. The Elite/Breed strategy appeared to be helpful in combating adverse genetic correlations.

Quantification of realised genetic gain in radiata pine and its incorporation into growth and yield modelling systems

2015 ◽  
Vol 45 (12) ◽  
pp. 1676-1687 ◽  
Author(s):  
Mark O. Kimberley ◽  
John R. Moore ◽  
Heidi S. Dungey
Keyword(s):  
New Zealand ◽  
Genetic Gain ◽  
Genetic Improvement ◽  
Volume Growth ◽  
Radiata Pine ◽  
Site Index ◽  
Growth And Yield ◽  
Wide Range ◽  
Unit Increase ◽  
Using Data

Realised genetic gain for radiata pine (Pinus radiata D. Don) was estimated using data from 46 installations of three series of block-plot trials spanning a wide range of site types throughout New Zealand. These trials contained 63 unique seedlots with different levels of genetic improvement. Realised genetic gain was quantified using two measures of productivity: site index and 300 Index (a measure of volume productivity). The level of genetic improvement of each seedlot was determined by its GF Plus rating, a genetic rating system based on breeding values used for New Zealand radiata pine. There was a positive relationship between GF Plus rating and both productivity measures. Differences of 25% in total standing volume at age 30 years and of 5.6% in site index were found between unimproved (GF Plus 9.9) and highly improved (GF Plus 25) seedlots. Each unit increase in GF Plus rating was associated with a 1.51% increase in volume growth rate. In absolute terms, the magnitude of the increase was greater on more productive sites compared with less productive sites, although in percentage terms, it varied little between sites or regions. Quantification of genetic gain in this manner enables it to be easily incorporated into existing growth and yield simulators.

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