Genetic improvement of wood properties in pinus kesiya royle ex gordon for sawn timber production in Malawi

Edward Missanjo, Junji Matsumura

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Abstract: 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 (h2 = 0.595 ± 0.055) than wood stiffness (h2 = 0.559 ± 0.038) and wood strength (h2 = 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/cm3 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.

Original languageEnglish
Article number253
JournalForests
Volume7
Issue number11
DOIs
Publication statusPublished - Oct 27 2016

Fingerprint

Pinus kesiya
forestry production
Malawi
wood properties
timber production
genetic improvement
wood quality
selection index
wood density
breeding
genetic correlation
multiple trait selection
wood strength
selection response
selection intensity
growth traits
stiffness
tree and stand measurements
breeding population
prediction

All Science Journal Classification (ASJC) codes

  • Forestry

Cite this

Genetic improvement of wood properties in pinus kesiya royle ex gordon for sawn timber production in Malawi. / Missanjo, Edward; Matsumura, Junji.

In: Forests, Vol. 7, No. 11, 253, 27.10.2016.

Research output: Contribution to journalArticle

@article{54f3a6fb59a848b3b30a49e586da94b3,
title = "Genetic improvement of wood properties in pinus kesiya royle ex gordon for sawn timber production in Malawi",
abstract = "Abstract: 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 (h2 = 0.595 ± 0.055) than wood stiffness (h2 = 0.559 ± 0.038) and wood strength (h2 = 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/cm3 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.",
author = "Edward Missanjo and Junji Matsumura",
year = "2016",
month = "10",
day = "27",
doi = "10.3390/f7110253",
language = "English",
volume = "7",
journal = "Forests",
issn = "1999-4907",
publisher = "MDPI AG",
number = "11",

}

TY - JOUR

T1 - Genetic improvement of wood properties in pinus kesiya royle ex gordon for sawn timber production in Malawi

AU - Missanjo, Edward

AU - Matsumura, Junji

PY - 2016/10/27

Y1 - 2016/10/27

N2 - Abstract: 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 (h2 = 0.595 ± 0.055) than wood stiffness (h2 = 0.559 ± 0.038) and wood strength (h2 = 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/cm3 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.

AB - Abstract: 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 (h2 = 0.595 ± 0.055) than wood stiffness (h2 = 0.559 ± 0.038) and wood strength (h2 = 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/cm3 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.

UR - http://www.scopus.com/inward/record.url?scp=85002202404&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85002202404&partnerID=8YFLogxK

U2 - 10.3390/f7110253

DO - 10.3390/f7110253

M3 - Article

AN - SCOPUS:85002202404

VL - 7

JO - Forests

JF - Forests

SN - 1999-4907

IS - 11

M1 - 253

ER -