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

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 proper...

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Main Authors: Edward Missanjo, Junji Matsumura
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Forests
Subjects:
Online Access:http://www.mdpi.com/1999-4907/7/11/253
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spelling doaj-683b90ad8b014cc58e09c75e884c67602020-11-24T22:50:02ZengMDPI AGForests1999-49072016-10-0171125310.3390/f7110253f7110253Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in MalawiEdward Missanjo0Junji Matsumura1Graduate School of Bioresource and Bioenvironmental Sciences, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, JapanLaboratory of Wood Science, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka 812-8581, JapanAccurate 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.http://www.mdpi.com/1999-4907/7/11/253Pinus kesiyawood propertiesheritabilitygenetic correlationcorrelated response
collection DOAJ
language English
format Article
sources DOAJ
author Edward Missanjo
Junji Matsumura
spellingShingle Edward Missanjo
Junji Matsumura
Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
Forests
Pinus kesiya
wood properties
heritability
genetic correlation
correlated response
author_facet Edward Missanjo
Junji Matsumura
author_sort Edward Missanjo
title Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
title_short Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
title_full Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
title_fullStr Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
title_full_unstemmed Genetic Improvement of Wood Properties in Pinus kesiya Royle ex Gordon for Sawn Timber Production in Malawi
title_sort genetic improvement of wood properties in pinus kesiya royle ex gordon for sawn timber production in malawi
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2016-10-01
description 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.
topic Pinus kesiya
wood properties
heritability
genetic correlation
correlated response
url http://www.mdpi.com/1999-4907/7/11/253
work_keys_str_mv AT edwardmissanjo geneticimprovementofwoodpropertiesinpinuskesiyaroyleexgordonforsawntimberproductioninmalawi
AT junjimatsumura geneticimprovementofwoodpropertiesinpinuskesiyaroyleexgordonforsawntimberproductioninmalawi
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