Genetic relationship between wood properties and growth traits in Larix kaempferi obtained from a diallel mating test

Fukatsu, Eitaro; Hiraoka, Yuichiro; Matsunaga, Koji; Tsubomura, Miyoko; Nakada, Ryogo

doi:10.1007/s10086-014-1436-9

Cited by 34 publications

(28 citation statements)

References 27 publications

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“…This is The phenotypic correlation between traits is a complex of genetic and non-genetic factors. The decomposition of phenotypic correlation into genetic and other correlations is essential to improve understanding of the relationships among the traits [35]. The genetic correlation between wood density and stiffness was very strong in the present study, but their corresponding residual correlations were weak.…”

Section: Genetic Correlation Among Wood Propertiesmentioning

confidence: 60%

“…Such unfavourable genetic correlations between wood properties and growth traits were reported in many other conifers [21,39]. On the other hand, other researchers [35] reported a positive genetic correction between wood properties and growth traits in Japanese larch (Larix kaempferi Lamb. Carrière).…”

Section: Genetic Correlation Between Wood Properties and Growth Traitsmentioning

confidence: 92%

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Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi

Missanjo

Matsumura

2016

Forests

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Accurate prediction of genetic potential and response to selection in breeding requires knowledge of genetic parameters for important selection traits. In this study, we estimated genetic parameters for wood properties in Khasi pine (Pinus kesiya Royle ex Gordon) grown in Malawi. Data on wood properties and growth traits were collected from six families of Pinus kesiya at the age of 30. The results show that wood density had a higher genetic control (h 2 = 0.595 ± 0.055) than wood stiffness (h 2 = 0.559 ± 0.038) and wood strength (h 2 = 0.542 ± 0.091). The genetic correlation among wood quality traits was significantly moderate (0.464 ± 0.061) to high (0.735 ± 0.025). The predicted genetic response indicated that selection for wood density at 10% selection intensity would increase stiffness and strength by 12.6% and 8.85%, respectively. The genetic correlations between growth and wood quality traits were moderately unfavourable. However, sufficient variation exists within the breeding population to select individuals with both good growth rate and high wood quality traits. It is therefore suggested that all trees with both diameter at breast height (DBH) greater than 32.0 cm and density greater than 0.593 g/cm 3 must be selected in order to increase the efficiency of the breeding programme. However, in the long term, it is recommended that the best selection strategy would be to develop a multiple-trait selection index. The selection index should be developed using optimal index weights for the advanced Pinus kesiya breeding programme in Malawi.

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Section: Genetic Correlation Among Wood Propertiesmentioning

confidence: 60%

Section: Genetic Correlation Between Wood Properties and Growth Traitsmentioning

confidence: 92%

Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi

Missanjo

Matsumura

2016

Forests

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“…Basic wood properties of Larix species have been reported by many researchers (Koizumi et al 1990(Koizumi et al , 2003(Koizumi et al , 2005Takada et al 1992;Takata and Hirakawa 2000;Zhu et al 2000;Nagao et al 2003;Karlman et al 2005;Ishiguri et al 2008;Luostarinen 2011;Fukatsu et al 2015;Neverov et al 2017;Cáceres et al 2018). Although tree age was different, stress-wave velocity values in L. sibirica (Table 2) were similar or lower to those in L. kaempferi (Ishiguri et al 2008;Fukatsu al. 2015).…”

Section: Comparison Of Measured Characteristics With Other Larix Speciesmentioning

confidence: 86%

“…The genus Larix consists of about ten species and these species are distributed throughout the northern hemisphere (Cáceres et al 2018). Wood resources of these species obtained from both natural stands and plantations have good physical and mechanical properties as well as high decay resistance (Koizumi et al 1990(Koizumi et al , 2003(Koizumi et al , 2005Takada et al 1992;Zhu et al 2000;Gierlinger et al 2004;Venäläinen et al 2006;Ishiguri et al 2008;Luostarinen 2011;Fukatsu et al 2015;Neverov et al 2017;Cáceres et al 2018). In Mongolia, Larix sibirica (Münchh.)…”

Section: Introductionmentioning

confidence: 99%

Geographic variations of wood properties of <i>Larix sibirica</i> naturally grown in Mongolia

Tumenjargal¹,

Ishiguri²,

Aiso-Sanada³

et al. 2018

Silva Fenn.

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Highlights• Significant differences (p < 0.01) among five stands were found in tree height, stress-wave velocity of stems, dynamic Young's modulus of stems and logs, annual ring width, and latewood percentage, suggesting that there was geographic variation of mechanical properties of wood in Larix sibirica (Münchh.) Ledeb. grown in Mongolia. • Dynamic Young's modulus of logs in L. sibirica trees can be predicted by stress-wave velocity of stems. • Stem diameter of L. sibirica naturally grown in Mongolia is closely related to radial growth at initial stage of growth, especially within the first twenty years. AbstractGeographic variations in growth, stress-wave velocity of stem, dynamic Young's modulus of stems and logs, annual ring width, latewood percentage and basic density were investigated for Larix sibirica (Münchh.) Ledeb. naturally grown in Mongolia. A total of 250 trees with 20 to 30 cm in stem diameter at a height of 1.3 m above ground level were selected from each natural stand in five different provenances in Mongolia. In addition, five trees in each stand were cut for measuring dynamic Young's modulus of stems and logs, annual ring width, latewood percentage and basic density. Mean values of stress-wave velocity of stems in each stand ranged from 2.92 to 3.41 km s -1 , and the mean value of five stands was 3.23 km s -1 . Mean values of dynamic Young's modulus of logs in each stand ranged from 5.17 to 9.72 GPa. A significant correlation (r = 0.798, p < 0.01) was found between stress-wave velocity of stems and dynamic Young's modulus of logs. Among the five stands, the highest and the lowest values of average annual ring number were 193 and 44, respectively. Mean values of basic density in five trees within each stand were examined and ranged from 0.52 to 0.56 g cm -3 . Significant differences among five stands were found in tree height, stress-wave velocity of stem, dynamic Young's modulus of stems and logs, annual ring width and latewood percentage, suggesting that L. sibirica trees naturally grown in Mongolia have geographic variations in mechanical properties of wood.

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“…Genetic parameters and genetic correlations among traits are essential in the establishment and refinement of tree breeding programmes [11][12][13]. Missanjo and Matsumura [9] identified high heritabilities in the wood properties (0.542 to 0.595) (density, stiffness and strength) and growth traits (0.400 to 0.483) (volume, height and diameter) of Pinus kesiya in Malawi.…”

Section: Introductionmentioning

confidence: 99%

Multiple Trait Selection Index for Simultaneous Improvement of Wood Properties and Growth Traits in Pinus kesiya Royle ex Gordon in Malawi

Missanjo

Matsumura

2017

Forests

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Abstract:Tree breeders face the problem of negative correlations between wood properties and growth traits. It is necessary to overcome this difficulty in order to obtain promising genotypes. The selection index is one of the helpful tools in this process, because it allows multiple features of interest to be selected. In this study, a multiple trait selection index for Khasi pine (Pinus kesiya Royle ex Gordon) grown in Malawi was developed. Data on wood properties and growth traits were collected from six families of P. kesiya at the age of 30 years. The breeding objective was defined in terms of wood stiffness, wood strength and volume. Selection traits included in the index were wood stiffness (MoE), wood strength (MoR), volume (Vol.), wood density (WD), and diameter at breast height (DBH). The index was termed as I T = −80.36 MoE − 14.60 MoR + 132.07 Vol. + 4858.09 WD − 7.56 DBH. The accuracy of the index was 98.8% and the correlation between the index and the aggregate breeding objective was 0.994. A genetic gain of 16.7% for volume, 14.8% for wood stiffness and 13.2% for wood strength would be expected from a standardized 10% selection intensity. Therefore, application of the developed selection index is necessary in order to increase the efficiency of the Pinus kesiya breeding programme in Malawi.

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Genetic relationship between wood properties and growth traits in Larix kaempferi obtained from a diallel mating test

Cited by 34 publications

References 27 publications

Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi

Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi

Geographic variations of wood properties of <i>Larix sibirica</i> naturally grown in Mongolia

Multiple Trait Selection Index for Simultaneous Improvement of Wood Properties and Growth Traits in Pinus kesiya Royle ex Gordon in Malawi

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